Update to TerraLab

Changed files

Choose a file to see its text changes. Binary or large files show metadata only.

mcp.json →

plugin.json →

skills/map-data-for-a-place/SKILL.md →

skills/places-files-and-coordinates/SKILL.md →

skills/site-study/SKILL.md →

skills/terrain-and-elevation/SKILL.md →

plugin.json

− removed · + added

--- before
+++ after
@@ -1,8 +1,8 @@
 {
   "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
   "name": "terralab",
-  "version": "1.1.1",
-  "description": "Real geospatial data for any place: open map data, relief (DEM, hillshade, slope, contour lines), coordinate conversion and French parcels, as maps and GIS files.",
+  "version": "1.2.0",
+  "description": "Geodata for any place, inside your agent: buildings, roads, terrain, routes, satellite images and French parcels, as GIS files with their source and licence.",
   "author": {
     "name": "TerraLab",
     "email": "yvann.barbot@terra-lab.ai",
@@ -10,47 +10,52 @@
   },
   "homepage": "https://terra-lab.ai/support",
   "keywords": [
+    "geodata",
     "geospatial",
     "gis",
-    "geodata",
     "maps",
-    "dem",
-    "elevation",
-    "hillshade",
-    "contour lines",
     "openstreetmap",
     "overture maps",
+    "elevation",
+    "satellite imagery",
+    "geocoding",
+    "qgis",
     "shapefile",
     "geopackage",
+    "geotiff",
     "coordinates",
+    "dem",
+    "contour lines",
+    "routing",
+    "isochrone",
     "cadastre",
-    "lambert 93",
-    "qgis"
+    "lambert 93"
   ],
   "extensions": {
     "com.openai": {
       "interface": {
         "displayName": "TerraLab",
-        "shortDescription": "GIS data for any place",
-        "longDescription": "Ask for buildings, roads, boundaries, land use, water, points of interest or elevation for any place. See them on an interactive map with their source and licence, then download them as GeoPackage, Shapefile, GeoJSON, KML or CSV for QGIS, ArcGIS or any GIS. Open data comes from Overture Maps and OpenStreetMap.\n\nRelief: for an area anywhere in the world, get a DEM clipped to the area as a GeoTIFF, a hillshade and a slope map, plus elevations, elevation profiles and contour lines, from Copernicus DEM GLO-30. In France, find the cadastral parcel and the local urban plan (PLU) zone at an address, from the official cadastre and G\u00e9oportail de l'Urbanisme open data; owner names and sale prices are never returned.\n\nFiles and coordinates: open a GeoJSON, KML, KMZ, GPX, zipped Shapefile, CSV or WKT file, check it on a map and convert it. Convert coordinates between decimal degrees, DMS, UTM, MGRS, Lambert 93 and EPSG codes, with the recommended local CRS for your project. Put a single place or a list of up to 100 addresses on a map and export the points.\n\nNo account or sign-in is needed. Every answer names its sources and licences (OpenStreetMap, Overture Maps, Copernicus DEM, ESA WorldCover Sentinel-2 imagery, IGN and DGFiP open data), and every download includes its licence. Limits: extracts up to 20,000 features and 200 km\u00b2 for buildings (larger for other layers), contour lines up to about 10 x 10 km, relief rasters on a grid of about 4 million cells at most (30 m cells for small areas, coarser for large ones), files up to 50 MB and lists up to 100 addresses. Elevation comes from a surface model that includes buildings and trees. Results are approximate and not for navigation, surveying or legal boundaries.",
+        "shortDescription": "Geodata for any place",
+        "longDescription": "Geodata for any place, inside your agent. Ask for buildings, roads, addresses, boundaries, land use, water, transit or points of interest anywhere in the world. See them on an interactive map with their source and licence, then download them as GIS files (GeoPackage, Shapefile, GeoJSON, KML or CSV) that open in QGIS or any other GIS tool. Map data comes from Overture Maps and OpenStreetMap.\n\nTerrain and imagery: for any area, get a DEM, a hillshade and a slope map as GeoTIFF, plus elevations, profiles and contour lines, from Copernicus DEM GLO-30. Get a Sentinel-2 image anywhere (true colour, false colour or NDVI), or an IGN aerial photo in France.\n\nRoutes and distances: driving, walking or cycling routes through up to 25 places, areas reachable within a travel time, straight-line distances, areas and buffers.\n\nFiles and coordinates: open a GeoJSON, KML, KMZ, GPX, zipped Shapefile, CSV or WKT file, check it on a map, convert it, or buffer, merge, clip or simplify it. Convert coordinates between decimal degrees, DMS, UTM, MGRS, Lambert 93 and EPSG codes, with the recommended local CRS. Geocode one address or a list of up to 100 and export the points.\n\nFrance: the cadastral parcel and local urban plan (PLU) zone at an address, from the official cadastre and the G\u00e9oportail de l'Urbanisme, and the height, floors and year built of each building from IGN BD TOPO. Owner names and sale prices are never returned.\n\nSign in once with a TerraLab account. Every answer names its sources and licences, and every download includes its licence. Limits: up to 20,000 features per extract, contour lines up to about 10 x 10 km, files up to 50 MB, lists up to 100 addresses. Elevation comes from a surface model that includes buildings and trees. Results are approximate and not for navigation, surveying or legal boundaries.\n\nMade by TerraLab, which builds AI tools for QGIS.",
         "developerName": "TerraLab",
         "category": "Data & Analytics",
         "capabilities": [
-          "Open data extracts for any GIS",
-          "DEM, hillshade and slope GeoTIFFs",
-          "Elevation profiles and contour lines",
-          "Open and convert GIS files",
-          "Coordinates, CRS and places on a map",
-          "French parcels and zoning"
+          "Open map data for any place, as GIS files",
+          "DEM, hillshade and slope GeoTIFFs, profiles and contours",
+          "Sentinel-2 and aerial images as GeoTIFF",
+          "Routes and travel-time areas",
+          "Open, convert and process GIS files",
+          "Coordinates, CRS and addresses on a map",
+          "French parcels, zoning and building heights"
         ],
         "websiteURL": "https://terra-lab.ai",
         "supportURL": "https://terra-lab.ai/support",
         "privacyPolicyURL": "https://terra-lab.ai/privacy-policy",
         "termsOfServiceURL": "https://terra-lab.ai/terms-of-use",
         "defaultPrompt": [
-          "Download the DEM and a hillshade of the Chamonix valley for QGIS",
-          "Get the buildings within 1 km of Annecy old town as a Shapefile",
-          "Show the elevation profile from Chamonix to the Aiguille du Midi"
+          "Get the buildings within 1 km of Annecy old town as a GeoPackage",
+          "Download the DEM and a hillshade of the Chamonix valley as GIS files",
+          "Put these addresses on a map and give me their coordinates as a CSV"
         ],
         "brandColor": "#0A0A0A",
         "brandColorDark": "#FFFFFF",
@@ -75,7 +80,7 @@
               "expected_behavior": "Minimum about 1,030 m, maximum about 3,690 m, total ascent about 2,660 m, a profile chart and the path on the map, Copernicus DEM GLO-30 named as a surface model."
             },
             {
-              "description": "Relief for QGIS",
+              "description": "Relief as GIS files",
               "prompt": "Give me the DEM and a hillshade of the area within 3 km of Chamonix.",
               "tools_triggered": "get_elevation",
               "expected_behavior": "Elevations from about 1,000 m to 3,135 m, slope statistics and contour lines every 20 m on the map, and downloads of the DEM, hillshade and slope as GeoTIFF files (EPSG:4326, licence inside) plus the contours as Shapefile, GeoJSON and KML; Copernicus DEM GLO-30 named as a surface model."
@@ -126,71 +131,71 @@
       },
       "publication": {
         "countries": [],
-        "release_notes": "TerraLab now offers real geospatial data for any place, for QGIS, ArcGIS or any GIS. Adds relief for any area (a DEM clipped to the area, a hillshade and a slope map as GeoTIFF files), a GeoPackage with every open data extract, and four workflow skills for any place in the world: open map data for a place, terrain and elevation, site studies with French parcels and zoning, and addresses, GIS files and coordinates on a map. Tool descriptions now name what users ask for. Server improvements live since 2026-10-06: better place search with local names, several feature kinds in one extract, national grid coordinates through source_epsg, and Lambert 93 coordinates in parcel answers.",
+        "release_notes": "Geodata for any place, inside your agent. Adds six tools: driving, walking and cycling routes, areas reachable within a travel time, Sentinel-2 and IGN aerial images as GeoTIFF, buffer, merge, clip and simplify on GIS files, distances, areas and buffers, and building heights in France. Every open data extract now includes a GeoPackage. Sign in once with a TerraLab account.",
         "translations": {
           "fr-FR": {
-            "subtitle": "Donn\u00e9es SIG pour tout lieu",
-            "description": "Demandez les b\u00e2timents, routes, limites administratives, occupation du sol, cours d'eau, points d'int\u00e9r\u00eat ou l'altitude de n'importe quel lieu. Visualisez-les sur une carte interactive avec leur source et leur licence, puis t\u00e9l\u00e9chargez-les en GeoPackage, Shapefile, GeoJSON, KML ou CSV pour QGIS, ArcGIS ou tout autre SIG. Les donn\u00e9es ouvertes proviennent d'Overture Maps et d'OpenStreetMap.\n\nRelief : pour une zone situ\u00e9e n'importe o\u00f9 dans le monde, obtenez un MNT d\u00e9coup\u00e9 sur la zone au format GeoTIFF, un ombrage et une carte des pentes, ainsi que des altitudes, des profils altim\u00e9triques et des courbes de niveau, \u00e0 partir de Copernicus DEM GLO-30. En France, trouvez la parcelle cadastrale et la zone du plan local d'urbanisme (PLU) \u00e0 une adresse, gr\u00e2ce aux donn\u00e9es ouvertes du cadastre officiel et du G\u00e9oportail de l'Urbanisme. Les noms des propri\u00e9taires et les prix de vente ne sont jamais renvoy\u00e9s.\n\nFichiers et coordonn\u00e9es : ouvrez un fichier GeoJSON, KML, KMZ, GPX, Shapefile zipp\u00e9, CSV ou WKT, v\u00e9rifiez-le sur une carte et convertissez-le. Convertissez des coordonn\u00e9es entre degr\u00e9s d\u00e9cimaux, DMS, UTM, MGRS, Lambert 93 et codes EPSG, avec le syst\u00e8me de coordonn\u00e9es local recommand\u00e9 pour votre projet. Placez un lieu unique ou une liste pouvant aller jusqu'\u00e0 100 adresses sur une carte et exportez les points.\n\nAucun compte ni connexion n'est n\u00e9cessaire. Chaque r\u00e9ponse cite ses sources et ses licences (OpenStreetMap, Overture Maps, Copernicus DEM, imagerie Sentinel-2 d'ESA WorldCover, donn\u00e9es ouvertes de l'IGN et de la DGFiP), et chaque t\u00e9l\u00e9chargement inclut sa licence. Limites : extractions jusqu'\u00e0 20 000 entit\u00e9s et 200 km\u00b2 pour les b\u00e2timents (davantage pour les autres couches), courbes de niveau jusqu'\u00e0 environ 10 x 10 km, rasters de relief sur une grille d'environ 4 millions de cellules au maximum (cellules de 30 m pour les petites zones, plus grossi\u00e8res pour les grandes), fichiers jusqu'\u00e0 50 Mo et listes jusqu'\u00e0 100 adresses. L'altitude provient d'un mod\u00e8le de surface qui inclut les b\u00e2timents et les arbres. Les r\u00e9sultats sont approximatifs et ne conviennent ni \u00e0 la navigation, ni \u00e0 l'arpentage, ni \u00e0 la d\u00e9finition de limites l\u00e9gales."
+            "subtitle": "Donn\u00e9es g\u00e9ographiques partout",
+            "description": "Des donn\u00e9es g\u00e9ographiques pour n'importe quel lieu, directement dans votre agent IA. Demandez des b\u00e2timents, routes, adresses, limites administratives, occupations du sol, cours d'eau, transports en commun ou points d'int\u00e9r\u00eat n'importe o\u00f9 dans le monde. Visualisez-les sur une carte interactive avec leur source et leur licence, puis t\u00e9l\u00e9chargez-les en fichiers SIG (GeoPackage, Shapefile, GeoJSON, KML ou CSV) qui s'ouvrent dans QGIS ou tout autre outil SIG. Les donn\u00e9es cartographiques proviennent d'Overture Maps et d'OpenStreetMap.\n\nRelief et imagerie : pour toute zone, obtenez un DEM, un ombrage et une carte des pentes en GeoTIFF, ainsi que des altitudes, des profils et des courbes de niveau, \u00e0 partir de Copernicus DEM GLO-30. Obtenez une image Sentinel-2 n'importe o\u00f9 (couleurs naturelles, fausses couleurs ou NDVI), ou une photo a\u00e9rienne IGN en France.\n\nItin\u00e9raires et distances : itin\u00e9raires en voiture, \u00e0 pied ou \u00e0 v\u00e9lo passant par 25 lieux au maximum, zones accessibles en un temps de trajet donn\u00e9, distances \u00e0 vol d'oiseau, surfaces et zones tampons.\n\nFichiers et coordonn\u00e9es : ouvrez un fichier GeoJSON, KML, KMZ, GPX, Shapefile zipp\u00e9, CSV ou WKT, v\u00e9rifiez-le sur une carte, convertissez-le, ou cr\u00e9ez une zone tampon, fusionnez, d\u00e9coupez ou simplifiez-le. Convertissez des coordonn\u00e9es entre degr\u00e9s d\u00e9cimaux, DMS, UTM, MGRS, Lambert 93 et codes EPSG, avec le CRS local recommand\u00e9. G\u00e9ocodez une adresse ou une liste allant jusqu'\u00e0 100 adresses, puis exportez les points.\n\nFrance : la parcelle cadastrale et la zone du plan local d'urbanisme (PLU) \u00e0 une adresse, d'apr\u00e8s le cadastre officiel et le G\u00e9oportail de l'Urbanisme, ainsi que la hauteur, le nombre d'\u00e9tages et l'ann\u00e9e de construction de chaque b\u00e2timent d'apr\u00e8s l'IGN BD TOPO. Les noms de propri\u00e9taires et les prix de vente ne sont jamais renvoy\u00e9s.\n\nConnexion unique avec un compte TerraLab. Chaque r\u00e9ponse indique ses sources et ses licences, et chaque t\u00e9l\u00e9chargement inclut sa licence. Limites : jusqu'\u00e0 20 000 entit\u00e9s par extraction, courbes de niveau jusqu'\u00e0 environ 10 x 10 km, fichiers jusqu'\u00e0 50 Mo, listes jusqu'\u00e0 100 adresses. L'altitude provient d'un mod\u00e8le de surface qui inclut les b\u00e2timents et les arbres. Les r\u00e9sultats sont approximatifs et ne conviennent ni \u00e0 la navigation, ni au lev\u00e9 topographique, ni aux limites l\u00e9gales.\n\nR\u00e9alis\u00e9 par TerraLab, qui cr\u00e9e des outils d'IA pour QGIS."
           },
           "fr-CA": {
-            "subtitle": "Donn\u00e9es SIG pour tout lieu",
-            "description": "Demandez les b\u00e2timents, routes, limites, occupations du sol, cours d'eau, points d'int\u00e9r\u00eat ou l'altitude de n'importe quel lieu. Voyez-les sur une carte interactive avec leur source et leur licence, puis t\u00e9l\u00e9chargez-les en GeoPackage, Shapefile, GeoJSON, KML ou CSV pour QGIS, ArcGIS ou tout autre SIG. Les donn\u00e9es ouvertes proviennent d'Overture Maps et d'OpenStreetMap.\n\nRelief : pour une zone n'importe o\u00f9 dans le monde, obtenez un MNT d\u00e9coup\u00e9 selon la zone en GeoTIFF, un ombrage et une carte des pentes, ainsi que des altitudes, des profils altim\u00e9triques et des courbes de niveau, \u00e0 partir de Copernicus DEM GLO-30. En France, trouvez la parcelle cadastrale et la zone du plan local d'urbanisme (PLU) \u00e0 une adresse, \u00e0 partir des donn\u00e9es ouvertes du cadastre officiel et du G\u00e9oportail de l'Urbanisme; les noms des propri\u00e9taires et les prix de vente ne sont jamais fournis.\n\nFichiers et coordonn\u00e9es : ouvrez un fichier GeoJSON, KML, KMZ, GPX, Shapefile compress\u00e9, CSV ou WKT, v\u00e9rifiez-le sur une carte et convertissez-le. Convertissez des coordonn\u00e9es entre degr\u00e9s d\u00e9cimaux, DMS, UTM, MGRS, Lambert 93 et codes EPSG, avec le syst\u00e8me de r\u00e9f\u00e9rence local recommand\u00e9 pour votre projet. Placez un seul lieu ou une liste d'au plus 100 adresses sur une carte et exportez les points.\n\nAucun compte ni connexion n'est n\u00e9cessaire. Chaque r\u00e9ponse indique ses sources et ses licences (OpenStreetMap, Overture Maps, Copernicus DEM, ESA WorldCover avec imagerie Sentinel-2, donn\u00e9es ouvertes de l'IGN et de la DGFiP), et chaque t\u00e9l\u00e9chargement inclut sa licence. Limites : extractions jusqu'\u00e0 20 000 entit\u00e9s et 200 km\u00b2 pour les b\u00e2timents (davantage pour les autres couches), courbes de niveau jusqu'\u00e0 environ 10 x 10 km, rasters de relief sur une grille d'environ 4 millions de cellules au maximum (cellules de 30 m pour les petites zones, plus grossi\u00e8res pour les grandes), fichiers jusqu'\u00e0 50 Mo et listes jusqu'\u00e0 100 adresses. L'altitude provient d'un mod\u00e8le num\u00e9rique de surface qui inclut les b\u00e2timents et les arbres. Les r\u00e9sultats sont approximatifs et ne conviennent pas \u00e0 la navigation, \u00e0 l'arpentage ni aux limites l\u00e9gales."
+            "subtitle": "Donn\u00e9es g\u00e9ographiques partout",
+            "description": "Des donn\u00e9es g\u00e9ographiques pour tout lieu, directement dans votre agent IA. Demandez des b\u00e2timents, des routes, des adresses, des limites administratives, l'occupation du sol, des cours d'eau, des r\u00e9seaux de transport en commun ou des points d'int\u00e9r\u00eat n'importe o\u00f9 dans le monde. Visualisez-les sur une carte interactive avec leur source et leur licence, puis t\u00e9l\u00e9chargez-les en fichiers SIG (GeoPackage, Shapefile, GeoJSON, KML ou CSV) qui s'ouvrent dans QGIS ou tout autre outil SIG. Les donn\u00e9es cartographiques proviennent d'Overture Maps et d'OpenStreetMap.\n\nRelief et imagerie : pour n'importe quel secteur, obtenez un DEM, un ombrage du relief et une carte des pentes en GeoTIFF, ainsi que des altitudes, des profils et des courbes de niveau, \u00e0 partir de Copernicus DEM GLO-30. Obtenez une image Sentinel-2 partout (couleurs r\u00e9elles, fausses couleurs ou NDVI), ou une photo a\u00e9rienne IGN en France.\n\nItin\u00e9raires et distances : itin\u00e9raires en voiture, \u00e0 pied ou \u00e0 v\u00e9lo passant par un maximum de 25 lieux, zones accessibles en un temps de d\u00e9placement donn\u00e9, distances \u00e0 vol d'oiseau, superficies et zones tampons.\n\nFichiers et coordonn\u00e9es : ouvrez un fichier GeoJSON, KML, KMZ, GPX, Shapefile compress\u00e9 (zip), CSV ou WKT, v\u00e9rifiez-le sur une carte, convertissez-le, ou cr\u00e9ez-en une zone tampon, fusionnez-le, d\u00e9coupez-le ou simplifiez-le. Convertissez des coordonn\u00e9es entre degr\u00e9s d\u00e9cimaux, DMS, UTM, MGRS, Lambert 93 et codes EPSG, avec le CRS local recommand\u00e9. G\u00e9ocodez une adresse ou une liste d'un maximum de 100 adresses, puis exportez les points.\n\nFrance : la parcelle cadastrale et la zone du plan local d'urbanisme (PLU) \u00e0 une adresse, d'apr\u00e8s le cadastre officiel et le G\u00e9oportail de l'Urbanisme, ainsi que la hauteur, le nombre d'\u00e9tages et l'ann\u00e9e de construction de chaque b\u00e2timent d'apr\u00e8s IGN BD TOPO. Les noms des propri\u00e9taires et les prix de vente ne sont jamais fournis.\n\nConnexion unique avec un compte TerraLab. Chaque r\u00e9ponse indique ses sources et ses licences, et chaque t\u00e9l\u00e9chargement inclut sa licence. Limites : jusqu'\u00e0 20 000 entit\u00e9s par extraction, courbes de niveau jusqu'\u00e0 environ 10 x 10 km, fichiers jusqu'\u00e0 50 Mo, listes jusqu'\u00e0 100 adresses. L'altitude provient d'un mod\u00e8le de surface qui inclut les b\u00e2timents et les arbres. Les r\u00e9sultats sont approximatifs et ne conviennent pas \u00e0 la navigation, \u00e0 l'arpentage ni \u00e0 la d\u00e9limitation l\u00e9gale de terrains.\n\nCr\u00e9\u00e9 par TerraLab, qui con\u00e7oit des outils d'IA pour QGIS."
           },
           "de-DE": {
-            "subtitle": "GIS-Daten f\u00fcr jeden Ort",
-            "description": "Fragen Sie Geb\u00e4ude, Stra\u00dfen, Grenzen, Landnutzung, Gew\u00e4sser, Points of Interest oder H\u00f6hen f\u00fcr jeden beliebigen Ort ab. Sie sehen sie auf einer interaktiven Karte mit Quelle und Lizenz und laden sie als GeoPackage, Shapefile, GeoJSON, KML oder CSV f\u00fcr QGIS, ArcGIS oder jedes andere GIS herunter. Die offenen Daten stammen von Overture Maps und OpenStreetMap.\n\nRelief: F\u00fcr ein Gebiet irgendwo auf der Welt erhalten Sie ein auf das Gebiet zugeschnittenes H\u00f6henmodell (DEM) als GeoTIFF, eine Schummerung und eine Hangneigungskarte sowie H\u00f6hen, H\u00f6henprofile und H\u00f6henlinien, aus dem Copernicus DEM GLO-30. In Frankreich finden Sie zu einer Adresse das Flurst\u00fcck und die Zone des lokalen Bebauungsplans (PLU), aus dem offiziellen Kataster und den offenen Daten des G\u00e9oportail de l'Urbanisme; Eigent\u00fcmernamen und Verkaufspreise werden nie zur\u00fcckgegeben.\n\nDateien und Koordinaten: \u00d6ffnen Sie eine GeoJSON-, KML-, KMZ-, GPX-Datei, ein gezipptes Shapefile, eine CSV- oder WKT-Datei, pr\u00fcfen Sie sie auf einer Karte und konvertieren Sie sie. Rechnen Sie Koordinaten zwischen Dezimalgrad, Grad-Minuten-Sekunden (DMS), UTM, MGRS, Lambert 93 und EPSG-Codes um, mit dem empfohlenen lokalen Koordinatenbezugssystem (CRS) f\u00fcr Ihr Projekt. Zeigen Sie einen einzelnen Ort oder eine Liste von bis zu 100 Adressen auf einer Karte an und exportieren Sie die Punkte.\n\nKein Konto und keine Anmeldung n\u00f6tig. Jede Antwort nennt ihre Quellen und Lizenzen (OpenStreetMap, Overture Maps, Copernicus DEM, ESA WorldCover mit Sentinel-2-Bildern, offene Daten von IGN und DGFiP), und jeder Download enth\u00e4lt seine Lizenz. Grenzwerte: Ausz\u00fcge mit bis zu 20.000 Objekten und 200 km\u00b2 bei Geb\u00e4uden (bei anderen Ebenen gr\u00f6\u00dfer), H\u00f6henlinien bis etwa 10 x 10 km, Reliefraster mit h\u00f6chstens etwa 4 Millionen Zellen (Zellen von 30 m f\u00fcr kleine Gebiete, gr\u00f6ber f\u00fcr gro\u00dfe), Dateien bis 50 MB und Listen mit bis zu 100 Adressen. Die H\u00f6he stammt aus einem Oberfl\u00e4chenmodell, das Geb\u00e4ude und B\u00e4ume enth\u00e4lt. Die Ergebnisse sind N\u00e4herungswerte und nicht f\u00fcr Navigation, Vermessung oder rechtliche Grenzen gedacht."
+            "subtitle": "Geodaten f\u00fcr jeden Ort",
+            "description": "Geodaten f\u00fcr jeden Ort, direkt in Ihrem KI-Agenten. Fragen Sie nach Geb\u00e4uden, Stra\u00dfen, Adressen, Grenzen, Landnutzung, Gew\u00e4ssern, \u00d6PNV oder Points of Interest an jedem Ort der Welt. Sie sehen die Daten auf einer interaktiven Karte mit Quelle und Lizenz und laden sie anschlie\u00dfend als GIS-Dateien (GeoPackage, Shapefile, GeoJSON, KML oder CSV) herunter, die sich in QGIS oder jedem anderen GIS-Tool \u00f6ffnen lassen. Die Kartendaten stammen von Overture Maps und OpenStreetMap.\n\nGel\u00e4nde und Bilder: F\u00fcr jedes Gebiet erhalten Sie ein DEM, eine Schummerung und eine Hangneigungskarte als GeoTIFF, dazu H\u00f6henwerte, Profile und H\u00f6henlinien aus dem Copernicus DEM GLO-30. Sie bekommen ein Sentinel-2-Bild f\u00fcr jeden Ort (Echtfarben, Falschfarben oder NDVI) oder ein IGN-Luftbild in Frankreich.\n\nRouten und Entfernungen: Auto-, Fu\u00df- oder Radrouten \u00fcber bis zu 25 Orte, Gebiete, die innerhalb einer bestimmten Fahrzeit erreichbar sind, Luftlinienentfernungen, Fl\u00e4chen und Puffer.\n\nDateien und Koordinaten: \u00d6ffnen Sie eine GeoJSON-, KML-, KMZ-, GPX-, CSV- oder WKT-Datei oder ein gezipptes Shapefile, pr\u00fcfen Sie es auf einer Karte, konvertieren Sie es oder erstellen Sie Puffer, f\u00fchren Sie Daten zusammen, schneiden Sie sie zu oder vereinfachen Sie sie. Rechnen Sie Koordinaten zwischen Dezimalgrad, DMS, UTM, MGRS, Lambert 93 und EPSG-Codes um, mit dem empfohlenen lokalen CRS. Geokodieren Sie eine Adresse oder eine Liste mit bis zu 100 Adressen und exportieren Sie die Punkte.\n\nFrankreich: das Flurst\u00fcck und die Zone des \u00f6rtlichen Stadtplans (PLU) an einer Adresse, aus dem amtlichen Kataster und dem G\u00e9oportail de l'Urbanisme, sowie H\u00f6he, Geschosse und Baujahr jedes Geb\u00e4udes aus IGN BD TOPO. Eigent\u00fcmernamen und Verkaufspreise werden nie zur\u00fcckgegeben.\n\nEinmal mit einem TerraLab-Konto anmelden. Jede Antwort nennt ihre Quellen und Lizenzen, und jeder Download enth\u00e4lt seine Lizenz. Einschr\u00e4nkungen: bis zu 20.000 Objekte pro Auszug, H\u00f6henlinien bis etwa 10 x 10 km, Dateien bis 50 MB, Listen mit bis zu 100 Adressen. Die H\u00f6hen stammen aus einem Oberfl\u00e4chenmodell, das Geb\u00e4ude und B\u00e4ume enth\u00e4lt. Die Ergebnisse sind N\u00e4herungswerte und nicht f\u00fcr Navigation, Vermessung oder rechtsverbindliche Grenzen geeignet.\n\nEntwickelt von TerraLab, das KI-Tools f\u00fcr QGIS entwickelt."
           },
           "es-ES": {
-            "subtitle": "Datos SIG de cualquier lugar",
-            "description": "Pide edificios, carreteras, l\u00edmites, usos del suelo, agua, puntos de inter\u00e9s o elevaci\u00f3n de cualquier lugar. M\u00edralos en un mapa interactivo con su fuente y su licencia y desc\u00e1rgalos como GeoPackage, Shapefile, GeoJSON, KML o CSV para QGIS, ArcGIS o cualquier GIS. Los datos abiertos proceden de Overture Maps y OpenStreetMap.\n\nRelieve: para una zona de cualquier parte del mundo, obt\u00e9n un MDE recortado a la zona como GeoTIFF, un sombreado del relieve y un mapa de pendientes, adem\u00e1s de elevaciones, perfiles de elevaci\u00f3n y curvas de nivel, a partir de Copernicus DEM GLO-30. En Francia, encuentra la parcela catastral y la zona del plan urban\u00edstico local (PLU) en una direcci\u00f3n, a partir de los datos abiertos del catastro oficial y de G\u00e9oportail de l'Urbanisme; nunca se devuelven nombres de propietarios ni precios de venta.\n\nArchivos y coordenadas: abre un archivo GeoJSON, KML, KMZ, GPX, Shapefile comprimido en ZIP, CSV o WKT, compru\u00e9balo en un mapa y convi\u00e9rtelo. Convierte coordenadas entre grados decimales, DMS, UTM, MGRS, Lambert 93 y c\u00f3digos EPSG, con el CRS local recomendado para tu proyecto. Sit\u00faa en un mapa un solo lugar o una lista de hasta 100 direcciones y exporta los puntos.\n\nNo hace falta cuenta ni inicio de sesi\u00f3n. Cada respuesta indica sus fuentes y licencias (OpenStreetMap, Overture Maps, Copernicus DEM, ESA WorldCover con im\u00e1genes Sentinel-2, y datos abiertos de IGN y DGFiP), y cada descarga incluye su licencia. L\u00edmites: extracciones de hasta 20.000 elementos y 200 km\u00b2 para edificios (m\u00e1s para otras capas), curvas de nivel de hasta unos 10 x 10 km, r\u00e1steres de relieve en una malla de unos 4 millones de celdas como m\u00e1ximo (celdas de 30 m para zonas peque\u00f1as, m\u00e1s gruesas para zonas grandes), archivos de hasta 50 MB y listas de hasta 100 direcciones. La elevaci\u00f3n procede de un modelo de superficie que incluye edificios y \u00e1rboles. Los resultados son aproximados y no sirven para navegaci\u00f3n, topograf\u00eda ni l\u00edmites legales."
+            "subtitle": "Geodatos de cualquier lugar",
+            "description": "Geodatos de cualquier lugar, dentro de tu agente de IA. Pide edificios, carreteras, direcciones, l\u00edmites administrativos, usos del suelo, agua, transporte p\u00fablico o puntos de inter\u00e9s en cualquier parte del mundo. M\u00edralos en un mapa interactivo con su fuente y su licencia y desc\u00e1rgalos como archivos SIG (GeoPackage, Shapefile, GeoJSON, KML o CSV) que se abren en QGIS o en cualquier otra herramienta SIG. Los datos cartogr\u00e1ficos proceden de Overture Maps y OpenStreetMap.\n\nTerreno e im\u00e1genes: para cualquier zona, obt\u00e9n un DEM, un sombreado del relieve y un mapa de pendientes en GeoTIFF, adem\u00e1s de altitudes, perfiles y curvas de nivel, a partir de Copernicus DEM GLO-30. Obt\u00e9n una imagen Sentinel-2 de cualquier lugar (color real, falso color o NDVI), o una foto a\u00e9rea del IGN en Francia.\n\nRutas y distancias: rutas en coche, a pie o en bicicleta con hasta 25 lugares, zonas accesibles en un tiempo de viaje determinado, distancias en l\u00ednea recta, superficies y \u00e1reas de influencia.\n\nArchivos y coordenadas: abre un archivo GeoJSON, KML, KMZ, GPX, Shapefile comprimido, CSV o WKT, compru\u00e9balo en un mapa, convi\u00e9rtelo, o apl\u00edcale un \u00e1rea de influencia, \u00fanelo, rec\u00f3rtalo o simplif\u00edcalo. Convierte coordenadas entre grados decimales, grados, minutos y segundos, UTM, MGRS, Lambert 93 y c\u00f3digos EPSG, con el CRS local recomendado. Geocodifica una direcci\u00f3n o una lista de hasta 100 y exporta los puntos.\n\nFrancia: la parcela catastral y la zona del plan urban\u00edstico local (PLU) en una direcci\u00f3n, a partir del catastro oficial y del G\u00e9oportail de l'Urbanisme, y la altura, las plantas y el a\u00f1o de construcci\u00f3n de cada edificio seg\u00fan IGN BD TOPO. Nunca se devuelven nombres de propietarios ni precios de venta.\n\nInicia sesi\u00f3n una sola vez con una cuenta de TerraLab. Cada respuesta indica sus fuentes y licencias, y cada descarga incluye su licencia. L\u00edmites: hasta 20 000 elementos por extracci\u00f3n, curvas de nivel hasta unos 10 x 10 km, archivos de hasta 50 MB, listas de hasta 100 direcciones. La elevaci\u00f3n procede de un modelo de superficie que incluye edificios y \u00e1rboles. Los resultados son aproximados y no sirven para navegaci\u00f3n, topograf\u00eda ni l\u00edmites legales.\n\nCreado por TerraLab, que desarrolla herramientas de IA para QGIS."
           },
           "es-419": {
-            "subtitle": "Datos SIG para cualquier lugar",
-            "description": "Pide edificios, calles, l\u00edmites, uso del suelo, agua, puntos de inter\u00e9s o elevaci\u00f3n de cualquier lugar. M\u00edralos en un mapa interactivo con su fuente y su licencia, y desc\u00e1rgalos como GeoPackage, Shapefile, GeoJSON, KML o CSV para QGIS, ArcGIS o cualquier GIS. Los datos abiertos provienen de Overture Maps y OpenStreetMap.\n\nRelieve: para un \u00e1rea en cualquier parte del mundo, obt\u00e9n un MDE recortado al \u00e1rea como GeoTIFF, un sombreado del relieve y un mapa de pendiente, adem\u00e1s de elevaciones, perfiles de elevaci\u00f3n y curvas de nivel, a partir de Copernicus DEM GLO-30. En Francia, encuentra la parcela catastral y la zona del plan urban\u00edstico local (PLU) en una direcci\u00f3n, con datos abiertos del catastro oficial y del G\u00e9oportail de l'Urbanisme; nunca se devuelven los nombres de los propietarios ni los precios de venta.\n\nArchivos y coordenadas: abre un archivo GeoJSON, KML, KMZ, GPX, Shapefile comprimido en ZIP, CSV o WKT, rev\u00edsalo en un mapa y convi\u00e9rtelo. Convierte coordenadas entre grados decimales, grados, minutos y segundos, UTM, MGRS, Lambert 93 y c\u00f3digos EPSG, con el sistema de coordenadas local recomendado para tu proyecto. Ubica un solo lugar o una lista de hasta 100 direcciones en un mapa y exporta los puntos.\n\nNo se necesita cuenta ni inicio de sesi\u00f3n. Cada respuesta indica sus fuentes y licencias (OpenStreetMap, Overture Maps, Copernicus DEM, im\u00e1genes de ESA WorldCover y Sentinel-2, y datos abiertos de IGN y DGFiP), y cada descarga incluye su licencia. L\u00edmites: extracciones de hasta 20,000 elementos y 200 km\u00b2 para edificios (m\u00e1s para otras capas), curvas de nivel de hasta unos 10 x 10 km, r\u00e1steres de relieve en una cuadr\u00edcula de unos 4 millones de celdas como m\u00e1ximo (celdas de 30 m para \u00e1reas peque\u00f1as, m\u00e1s gruesas para \u00e1reas grandes), archivos de hasta 50 MB y listas de hasta 100 direcciones. La elevaci\u00f3n proviene de un modelo de superficie que incluye edificios y \u00e1rboles. Los resultados son aproximados y no sirven para navegaci\u00f3n, topograf\u00eda ni l\u00edmites legales."
+            "subtitle": "Geodatos para cualquier lugar",
+            "description": "Geodatos para cualquier lugar, dentro de tu agente de IA. Pide edificios, calles, direcciones, l\u00edmites, uso del suelo, agua, transporte p\u00fablico o puntos de inter\u00e9s en cualquier parte del mundo. M\u00edralos en un mapa interactivo con su fuente y su licencia, y desc\u00e1rgalos como archivos SIG (GeoPackage, Shapefile, GeoJSON, KML o CSV) que se abren en QGIS o en cualquier otra herramienta SIG. Los datos del mapa provienen de Overture Maps y OpenStreetMap.\n\nTerreno e im\u00e1genes: para cualquier zona, obt\u00e9n un DEM, un sombreado de relieve y un mapa de pendientes como GeoTIFF, adem\u00e1s de elevaciones, perfiles y curvas de nivel, a partir de Copernicus DEM GLO-30. Obt\u00e9n una imagen Sentinel-2 en cualquier lugar (color real, falso color o NDVI), o una foto a\u00e9rea del IGN en Francia.\n\nRutas y distancias: rutas en auto, a pie o en bicicleta a trav\u00e9s de hasta 25 lugares, \u00e1reas alcanzables dentro de un tiempo de viaje, distancias en l\u00ednea recta, \u00e1reas y zonas de influencia.\n\nArchivos y coordenadas: abre un archivo GeoJSON, KML, KMZ, GPX, Shapefile comprimido, CSV o WKT, rev\u00edsalo en un mapa, convi\u00e9rtelo, o apl\u00edcale zonas de influencia, \u00fanelo, rec\u00f3rtalo o simplif\u00edcalo. Convierte coordenadas entre grados decimales, DMS, UTM, MGRS, Lambert 93 y c\u00f3digos EPSG, con el CRS local recomendado. Geocodifica una direcci\u00f3n o una lista de hasta 100 y exporta los puntos.\n\nFrancia: la parcela catastral y la zona del plan urban\u00edstico local (PLU) en una direcci\u00f3n, a partir del catastro oficial y del G\u00e9oportail de l'Urbanisme, y la altura, los pisos y el a\u00f1o de construcci\u00f3n de cada edificio seg\u00fan IGN BD TOPO. Nunca se devuelven nombres de propietarios ni precios de venta.\n\nInicia sesi\u00f3n una sola vez con una cuenta de TerraLab. Cada respuesta indica sus fuentes y licencias, y cada descarga incluye su licencia. L\u00edmites: hasta 20 000 elementos por extracci\u00f3n, curvas de nivel hasta unos 10 x 10 km, archivos de hasta 50 MB, listas de hasta 100 direcciones. La elevaci\u00f3n proviene de un modelo de superficie que incluye edificios y \u00e1rboles. Los resultados son aproximados y no sirven para navegaci\u00f3n, topograf\u00eda ni l\u00edmites legales.\n\nCreado por TerraLab, que desarrolla herramientas de IA para QGIS."
           },
           "it-IT": {
-            "subtitle": "Dati GIS per qualsiasi luogo",
-            "description": "Chiedi edifici, strade, confini, uso del suolo, acqua, punti di interesse o altitudine per qualsiasi luogo. Guardali su una mappa interattiva con la loro fonte e licenza, poi scaricali come GeoPackage, Shapefile, GeoJSON, KML o CSV per QGIS, ArcGIS o qualsiasi GIS. I dati aperti provengono da Overture Maps e OpenStreetMap.\n\nRilievo: per un'area in qualsiasi parte del mondo, ottieni un DEM (modello digitale di elevazione) ritagliato sull'area come GeoTIFF, un'ombreggiatura e una mappa delle pendenze, oltre a altitudini, profili altimetrici e curve di livello, da Copernicus DEM GLO-30. In Francia, trova la particella catastale e la zona del piano urbanistico locale (PLU) a un indirizzo, dai dati aperti del catasto ufficiale e del G\u00e9oportail de l'Urbanisme; i nomi dei proprietari e i prezzi di vendita non vengono mai restituiti.\n\nFile e coordinate: apri un file GeoJSON, KML, KMZ, GPX, Shapefile compresso in zip, CSV o WKT, controllalo su una mappa e convertilo. Converti le coordinate tra gradi decimali, DMS, UTM, MGRS, Lambert 93 e codici EPSG, con il CRS locale consigliato per il tuo progetto. Metti su una mappa un singolo luogo o un elenco di massimo 100 indirizzi ed esporta i punti.\n\nNon serve alcun account n\u00e9 accesso. Ogni risposta indica le sue fonti e licenze (OpenStreetMap, Overture Maps, Copernicus DEM, ESA WorldCover da immagini Sentinel-2, dati aperti IGN e DGFiP), e ogni download include la sua licenza. Limiti: estrazioni fino a 20.000 elementi e 200 km\u00b2 per gli edifici (pi\u00f9 ampie per gli altri livelli), curve di livello fino a circa 10 x 10 km, raster del rilievo su una griglia di circa 4 milioni di celle al massimo (celle da 30 m per le aree piccole, pi\u00f9 grossolane per quelle grandi), file fino a 50 MB ed elenchi fino a 100 indirizzi. L'altitudine deriva da un modello di superficie che include edifici e alberi. I risultati sono approssimativi e non adatti alla navigazione, al rilievo topografico o ai confini legali."
+            "subtitle": "Geodati per qualsiasi luogo",
+            "description": "Geodati per qualsiasi luogo, dentro il tuo agente AI. Chiedi edifici, strade, indirizzi, confini, uso del suolo, acqua, trasporto pubblico o punti di interesse in qualsiasi parte del mondo. Visualizzali su una mappa interattiva con fonte e licenza, poi scaricali come file GIS (GeoPackage, Shapefile, GeoJSON, KML o CSV) che si aprono in QGIS o in qualsiasi altro strumento GIS. I dati cartografici provengono da Overture Maps e OpenStreetMap.\n\nTerreno e immagini: per qualsiasi area, ottieni un DEM, un'ombreggiatura del rilievo (hillshade) e una mappa delle pendenze in formato GeoTIFF, oltre a quote, profili altimetrici e curve di livello, da Copernicus DEM GLO-30. Ottieni un'immagine Sentinel-2 ovunque (colori reali, falsi colori o NDVI), oppure una foto aerea IGN in Francia.\n\nPercorsi e distanze: percorsi in auto, a piedi o in bicicletta attraverso fino a 25 luoghi, aree raggiungibili entro un tempo di percorrenza, distanze in linea d'aria, aree e buffer.\n\nFile e coordinate: apri un file GeoJSON, KML, KMZ, GPX, Shapefile compresso in zip, CSV o WKT, controllalo su una mappa, convertilo, oppure crea un buffer, uniscilo, ritaglialo o semplificalo. Converti le coordinate tra gradi decimali, DMS, UTM, MGRS, Lambert 93 e codici EPSG, con il CRS locale consigliato. Geocodifica un indirizzo o un elenco fino a 100 indirizzi ed esporta i punti.\n\nFrancia: la particella catastale e la zona del piano urbanistico locale (PLU) a un indirizzo, dal catasto ufficiale e dal G\u00e9oportail de l'Urbanisme, pi\u00f9 altezza, numero di piani e anno di costruzione di ogni edificio da IGN BD TOPO. I nomi dei proprietari e i prezzi di vendita non vengono mai restituiti.\n\nAccedi una volta sola con un account TerraLab. Ogni risposta indica le proprie fonti e licenze, e ogni download include la propria licenza. Limiti: fino a 20.000 elementi per estrazione, curve di livello fino a circa 10 x 10 km, file fino a 50 MB, elenchi fino a 100 indirizzi. La quota proviene da un modello di superficie che include edifici e alberi. I risultati sono approssimativi e non adatti a navigazione, rilievi topografici o confini legali.\n\nCreato da TerraLab, che sviluppa strumenti di AI per QGIS."
           },
           "pt-BR": {
-            "subtitle": "Dados SIG para qualquer lugar",
-            "description": "Pe\u00e7a edifica\u00e7\u00f5es, vias, limites, uso do solo, \u00e1gua, pontos de interesse ou eleva\u00e7\u00e3o de qualquer lugar. Veja tudo em um mapa interativo, com a fonte e a licen\u00e7a, e baixe em GeoPackage, Shapefile, GeoJSON, KML ou CSV para usar no QGIS, no ArcGIS ou em qualquer GIS. Os dados abertos v\u00eam do Overture Maps e do OpenStreetMap.\n\nRelevo: para uma \u00e1rea em qualquer lugar do mundo, obtenha um MDE recortado na \u00e1rea como GeoTIFF, um sombreamento do relevo e um mapa de declividade, al\u00e9m de eleva\u00e7\u00f5es, perfis de eleva\u00e7\u00e3o e curvas de n\u00edvel, a partir do Copernicus DEM GLO-30. Na Fran\u00e7a, encontre a parcela cadastral e a zona do plano urban\u00edstico local (PLU) em um endere\u00e7o, a partir dos dados abertos do cadastro oficial e do G\u00e9oportail de l'Urbanisme; nomes de propriet\u00e1rios e pre\u00e7os de venda nunca s\u00e3o retornados.\n\nArquivos e coordenadas: abra um arquivo GeoJSON, KML, KMZ, GPX, Shapefile compactado, CSV ou WKT, confira-o em um mapa e converta-o. Converta coordenadas entre graus decimais, DMS, UTM, MGRS, Lambert 93 e c\u00f3digos EPSG, com o CRS local recomendado para o seu projeto. Coloque um \u00fanico lugar ou uma lista de at\u00e9 100 endere\u00e7os em um mapa e exporte os pontos.\n\nN\u00e3o \u00e9 preciso criar conta nem fazer login. Cada resposta cita suas fontes e licen\u00e7as (OpenStreetMap, Overture Maps, Copernicus DEM, imagens ESA WorldCover Sentinel-2, dados abertos do IGN e da DGFiP), e cada download inclui sua licen\u00e7a. Limites: extra\u00e7\u00f5es de at\u00e9 20,000 fei\u00e7\u00f5es e 200 km\u00b2 para edifica\u00e7\u00f5es (mais para as outras camadas), curvas de n\u00edvel at\u00e9 cerca de 10 x 10 km, rasters de relevo em uma grade de cerca de 4 milh\u00f5es de c\u00e9lulas no m\u00e1ximo (c\u00e9lulas de 30 m para \u00e1reas pequenas, mais grossas para \u00e1reas grandes), arquivos de at\u00e9 50 MB e listas de at\u00e9 100 endere\u00e7os. A eleva\u00e7\u00e3o vem de um modelo de superf\u00edcie que inclui edifica\u00e7\u00f5es e \u00e1rvores. Os resultados s\u00e3o aproximados e n\u00e3o servem para navega\u00e7\u00e3o, topografia ou limites legais."
+            "subtitle": "Geodados para qualquer lugar",
+            "description": "Geodados para qualquer lugar, dentro do seu agente de IA. Pe\u00e7a edifica\u00e7\u00f5es, estradas, endere\u00e7os, limites, uso do solo, \u00e1gua, transporte p\u00fablico ou pontos de interesse em qualquer parte do mundo. Veja tudo em um mapa interativo com a fonte e a licen\u00e7a de cada dado e baixe em arquivos SIG (GeoPackage, Shapefile, GeoJSON, KML ou CSV) que abrem no QGIS ou em qualquer outra ferramenta de SIG. Os dados de mapa v\u00eam do Overture Maps e do OpenStreetMap.\n\nTerreno e imagens: para qualquer \u00e1rea, obtenha um DEM, um sombreamento de relevo e um mapa de declividade em GeoTIFF, al\u00e9m de eleva\u00e7\u00f5es, perfis e curvas de n\u00edvel, a partir do Copernicus DEM GLO-30. Obtenha uma imagem Sentinel-2 em qualquer lugar (cor real, falsa cor ou NDVI) ou uma foto a\u00e9rea do IGN na Fran\u00e7a.\n\nRotas e dist\u00e2ncias: rotas de carro, a p\u00e9 ou de bicicleta passando por at\u00e9 25 lugares, \u00e1reas alcan\u00e7\u00e1veis dentro de um tempo de deslocamento, dist\u00e2ncias em linha reta, \u00e1reas e buffers.\n\nArquivos e coordenadas: abra um arquivo GeoJSON, KML, KMZ, GPX, Shapefile compactado em zip, CSV ou WKT, confira-o em um mapa, converta-o ou aplique buffer, mesclagem, recorte ou simplifica\u00e7\u00e3o. Converta coordenadas entre graus decimais, DMS, UTM, MGRS, Lambert 93 e c\u00f3digos EPSG, com o CRS local recomendado. Geocodifique um endere\u00e7o ou uma lista de at\u00e9 100 e exporte os pontos.\n\nFran\u00e7a: a parcela cadastral e a zona do plano urban\u00edstico local (PLU) em um endere\u00e7o, a partir do cadastro oficial e do G\u00e9oportail de l'Urbanisme, al\u00e9m da altura, do n\u00famero de pavimentos e do ano de constru\u00e7\u00e3o de cada edifica\u00e7\u00e3o, do IGN BD TOPO. Nomes de propriet\u00e1rios e pre\u00e7os de venda nunca s\u00e3o retornados.\n\nEntre uma vez s\u00f3 com uma conta TerraLab. Cada resposta indica suas fontes e licen\u00e7as, e cada download inclui a sua licen\u00e7a. Limites: at\u00e9 20.000 fei\u00e7\u00f5es por extra\u00e7\u00e3o, curvas de n\u00edvel at\u00e9 cerca de 10 x 10 km, arquivos de at\u00e9 50 MB, listas de at\u00e9 100 endere\u00e7os. A eleva\u00e7\u00e3o vem de um modelo de superf\u00edcie que inclui edifica\u00e7\u00f5es e \u00e1rvores. Os resultados s\u00e3o aproximados e n\u00e3o servem para navega\u00e7\u00e3o, levantamento topogr\u00e1fico nem limites legais.\n\nCriado pela TerraLab, que desenvolve ferramentas de IA para QGIS."
           },
           "pt-PT": {
-            "subtitle": "Dados SIG para qualquer lugar",
-            "description": "Pe\u00e7a edif\u00edcios, estradas, limites, uso do solo, \u00e1gua, pontos de interesse ou altitude de qualquer local. Veja-os num mapa interativo com a respetiva fonte e licen\u00e7a e descarregue-os em GeoPackage, Shapefile, GeoJSON, KML ou CSV para QGIS, ArcGIS ou qualquer GIS. Os dados abertos v\u00eam do Overture Maps e do OpenStreetMap.\n\nRelevo: para uma \u00e1rea em qualquer parte do mundo, obtenha um MDE (modelo digital de eleva\u00e7\u00e3o) recortado \u00e0 \u00e1rea em GeoTIFF, um sombreamento do relevo e um mapa de declives, al\u00e9m de altitudes, perfis de eleva\u00e7\u00e3o e curvas de n\u00edvel, a partir do Copernicus DEM GLO-30. Em Fran\u00e7a, encontre a parcela cadastral e a zona do plano local de urbanismo (PLU) numa morada, a partir dos dados abertos do cadastro oficial e do G\u00e9oportail de l'Urbanisme; os nomes dos propriet\u00e1rios e os pre\u00e7os de venda nunca s\u00e3o devolvidos.\n\nFicheiros e coordenadas: abra um ficheiro GeoJSON, KML, KMZ, GPX, Shapefile comprimido (zip), CSV ou WKT, confirme-o num mapa e converta-o. Converta coordenadas entre graus decimais, DMS, UTM, MGRS, Lambert 93 e c\u00f3digos EPSG, com o CRS local recomendado para o seu projeto. Coloque num mapa um \u00fanico local ou uma lista at\u00e9 100 moradas e exporte os pontos.\n\nN\u00e3o \u00e9 preciso conta nem in\u00edcio de sess\u00e3o. Cada resposta indica as suas fontes e licen\u00e7as (OpenStreetMap, Overture Maps, Copernicus DEM, imagens ESA WorldCover Sentinel-2, dados abertos do IGN e da DGFiP), e cada descarga inclui a respetiva licen\u00e7a. Limites: extra\u00e7\u00f5es at\u00e9 20 000 elementos e 200 km\u00b2 para edif\u00edcios (mais para as outras camadas), curvas de n\u00edvel at\u00e9 cerca de 10 x 10 km, rasters de relevo numa grelha de cerca de 4 milh\u00f5es de c\u00e9lulas no m\u00e1ximo (c\u00e9lulas de 30 m para \u00e1reas pequenas, mais grosseiras para \u00e1reas grandes), ficheiros at\u00e9 50 MB e listas at\u00e9 100 moradas. A altitude vem de um modelo de superf\u00edcie que inclui edif\u00edcios e \u00e1rvores. Os resultados s\u00e3o aproximados e n\u00e3o servem para navega\u00e7\u00e3o, levantamentos topogr\u00e1ficos nem limites legais."
+            "subtitle": "Geodados para qualquer lugar",
+            "description": "Geodados para qualquer lugar, dentro do seu agente de IA. Pe\u00e7a edif\u00edcios, estradas, moradas, limites administrativos, uso do solo, \u00e1gua, transportes p\u00fablicos ou pontos de interesse em qualquer parte do mundo. Veja-os num mapa interativo com a respetiva fonte e licen\u00e7a e, depois, descarregue-os como ficheiros SIG (GeoPackage, Shapefile, GeoJSON, KML ou CSV) que abrem no QGIS ou em qualquer outra ferramenta SIG. Os dados cartogr\u00e1ficos v\u00eam do Overture Maps e do OpenStreetMap.\n\nTerreno e imagens: para qualquer \u00e1rea, obtenha um DEM, um sombreamento de relevo e um mapa de declives em GeoTIFF, al\u00e9m de altitudes, perfis e curvas de n\u00edvel, a partir do Copernicus DEM GLO-30. Obtenha uma imagem Sentinel-2 em qualquer lugar (cor real, falsa cor ou NDVI) ou uma fotografia a\u00e9rea do IGN em Fran\u00e7a.\n\nPercursos e dist\u00e2ncias: percursos de carro, a p\u00e9 ou de bicicleta por at\u00e9 25 locais, \u00e1reas alcan\u00e7\u00e1veis dentro de um tempo de viagem, dist\u00e2ncias em linha reta, \u00e1reas e zonas tamp\u00e3o.\n\nFicheiros e coordenadas: abra um ficheiro GeoJSON, KML, KMZ, GPX, Shapefile em ZIP, CSV ou WKT, verifique-o num mapa, converta-o, ou crie zonas tamp\u00e3o, una, recorte ou simplifique. Converta coordenadas entre graus decimais, DMS, UTM, MGRS, Lambert 93 e c\u00f3digos EPSG, com o CRS local recomendado. Geocodifique uma morada ou uma lista at\u00e9 100 e exporte os pontos.\n\nFran\u00e7a: a parcela cadastral e a zona do plano local de urbanismo (PLU) numa morada, a partir do cadastro oficial e do G\u00e9oportail de l'Urbanisme, e a altura, os pisos e o ano de constru\u00e7\u00e3o de cada edif\u00edcio a partir do IGN BD TOPO. Os nomes dos propriet\u00e1rios e os pre\u00e7os de venda nunca s\u00e3o devolvidos.\n\nInicie sess\u00e3o uma \u00fanica vez com uma conta TerraLab. Cada resposta indica as suas fontes e licen\u00e7as, e cada ficheiro descarregado inclui a respetiva licen\u00e7a. Limites: at\u00e9 20 000 elementos por extra\u00e7\u00e3o, curvas de n\u00edvel at\u00e9 cerca de 10 x 10 km, ficheiros at\u00e9 50 MB, listas at\u00e9 100 moradas. A altitude prov\u00e9m de um modelo de superf\u00edcie que inclui edif\u00edcios e \u00e1rvores. Os resultados s\u00e3o aproximados e n\u00e3o servem para navega\u00e7\u00e3o, topografia nem limites legais.\n\nCriado pela TerraLab, que desenvolve ferramentas de IA para o QGIS."
           },
           "nl-NL": {
-            "subtitle": "GIS-data voor elke plek",
-            "description": "Vraag gebouwen, wegen, grenzen, landgebruik, water, interessante plekken of hoogte op voor elke plek. Bekijk ze op een interactieve kaart met bron en licentie en download ze als GeoPackage, Shapefile, GeoJSON, KML of CSV voor QGIS, ArcGIS of een ander GIS. De open data komt van Overture Maps en OpenStreetMap.\n\nReli\u00ebf: voor een gebied waar ook ter wereld krijg je een DEM (digitaal hoogtemodel) bijgesneden op het gebied als GeoTIFF, een reli\u00ebfschaduw en een hellingpercentagekaart, plus hoogtes, hoogteprofielen en hoogtelijnen, uit Copernicus DEM GLO-30. In Frankrijk vind je het kadastrale perceel en de zone van het lokale bestemmingsplan (PLU) op een adres, uit de offici\u00eble open data van het kadaster en G\u00e9oportail de l'Urbanisme. Namen van eigenaren en verkoopprijzen worden nooit getoond.\n\nBestanden en co\u00f6rdinaten: open een GeoJSON-, KML-, KMZ-, GPX-, gezipt Shapefile-, CSV- of WKT-bestand, controleer het op een kaart en zet het om. Reken co\u00f6rdinaten om tussen decimale graden, DMS, UTM, MGRS, Lambert 93 en EPSG-codes, met het aanbevolen lokale CRS voor je project. Zet \u00e9\u00e9n plek of een lijst van maximaal 100 adressen op een kaart en exporteer de punten.\n\nJe hebt geen account of aanmelding nodig. Elk antwoord noemt zijn bronnen en licenties (OpenStreetMap, Overture Maps, Copernicus DEM, ESA WorldCover, Sentinel-2-beelden, open data van IGN en DGFiP) en elke download bevat zijn licentie. Limieten: uitsneden tot 20,000 objecten en 200 km\u00b2 voor gebouwen (groter voor andere lagen), hoogtelijnen tot ongeveer 10 x 10 km, reli\u00ebfrasters op een raster van ongeveer 4 miljoen cellen (cellen van 30 m voor kleine gebieden, grover voor grote), bestanden tot 50 MB en lijsten tot 100 adressen. De hoogte komt uit een oppervlaktemodel dat gebouwen en bomen meeneemt. Resultaten zijn bij benadering en niet bedoeld voor navigatie, landmeting of juridische grenzen."
+            "subtitle": "Geodata voor elke plek",
+            "description": "Geodata voor elke plek, in je AI-agent. Vraag naar gebouwen, wegen, adressen, grenzen, landgebruik, water, openbaar vervoer of points of interest overal ter wereld. Bekijk ze op een interactieve kaart met hun bron en licentie en download ze als GIS-bestanden (GeoPackage, Shapefile, GeoJSON, KML of CSV) die openen in QGIS of een andere GIS-tool. Kaartdata komt van Overture Maps en OpenStreetMap.\n\nTerrein en beeldmateriaal: haal voor elk gebied een DEM, een hillshade en een hellingskaart op als GeoTIFF, plus hoogtes, hoogteprofielen en hoogtelijnen, uit Copernicus DEM GLO-30. Haal overal een Sentinel-2-beeld op (ware kleuren, valse kleuren of NDVI), of een luchtfoto van IGN in Frankrijk.\n\nRoutes en afstanden: auto-, wandel- of fietsroutes langs maximaal 25 plaatsen, gebieden die binnen een bepaalde reistijd bereikbaar zijn, hemelsbrede afstanden, oppervlaktes en buffers.\n\nBestanden en co\u00f6rdinaten: open een bestand in GeoJSON, KML, KMZ, GPX, CSV of WKT, of een gezipte Shapefile, controleer het op een kaart, converteer het, of buffer, voeg samen, knip of vereenvoudig het. Reken co\u00f6rdinaten om tussen decimale graden, DMS, UTM, MGRS, Lambert 93 en EPSG-codes, met het aanbevolen lokale CRS. Geocodeer \u00e9\u00e9n adres of een lijst van maximaal 100 adressen en exporteer de punten.\n\nFrankrijk: het kadastrale perceel en de zone van het lokale bestemmingsplan (PLU) op een adres, uit het offici\u00eble kadaster en de G\u00e9oportail de l'Urbanisme, en de hoogte, het aantal verdiepingen en het bouwjaar van elk gebouw uit IGN BD TOPO. Namen van eigenaren en verkoopprijzen worden nooit teruggegeven.\n\nEenmalig inloggen met een TerraLab-account. Elk antwoord noemt de bronnen en licenties, en elke download bevat de licentie. Limieten: maximaal 20.000 objecten per extractie, hoogtelijnen tot ongeveer 10 x 10 km, bestanden tot 50 MB, lijsten tot 100 adressen. Hoogtes komen uit een oppervlaktemodel dat gebouwen en bomen bevat. Resultaten zijn bij benadering en niet bedoeld voor navigatie, landmeting of juridische grenzen.\n\nGemaakt door TerraLab, dat AI-tools voor QGIS bouwt."
           },
           "pl-PL": {
-            "subtitle": "Dane GIS dla ka\u017cdego miejsca",
-            "description": "Popro\u015b o budynki, drogi, granice, u\u017cytkowanie terenu, wody, punkty zainteresowania lub wysoko\u015bci dla dowolnego miejsca. Zobacz je na interaktywnej mapie wraz ze \u017ar\u00f3d\u0142em i licencj\u0105, a potem pobierz jako GeoPackage, Shapefile, GeoJSON, KML lub CSV do QGIS, ArcGIS albo dowolnego programu GIS. Otwarte dane pochodz\u0105 z Overture Maps i OpenStreetMap.\n\nRze\u017aba terenu: dla obszaru w dowolnym miejscu na \u015bwiecie otrzymasz NMT przyci\u0119ty do tego obszaru jako GeoTIFF, cieniowanie rze\u017aby i map\u0119 nachylenia, a tak\u017ce wysoko\u015bci, profile wysoko\u015bciowe i warstwice, z Copernicus DEM GLO-30. We Francji znajdziesz dzia\u0142k\u0119 katastraln\u0105 i stref\u0119 lokalnego planu zagospodarowania (PLU) dla podanego adresu, na podstawie oficjalnych otwartych danych katastru i G\u00e9oportail de l'Urbanisme; nazwiska w\u0142a\u015bcicieli i ceny sprzeda\u017cy nigdy nie s\u0105 zwracane.\n\nPliki i wsp\u00f3\u0142rz\u0119dne: otw\u00f3rz plik GeoJSON, KML, KMZ, GPX, spakowany Shapefile, CSV lub WKT, sprawd\u017a go na mapie i przekonwertuj. Przeliczaj wsp\u00f3\u0142rz\u0119dne mi\u0119dzy stopniami dziesi\u0119tnymi, DMS, UTM, MGRS, Lambert 93 i kodami EPSG, z zalecanym lokalnym uk\u0142adem wsp\u00f3\u0142rz\u0119dnych dla Twojego projektu. Nanie\u015b na map\u0119 jedno miejsce lub list\u0119 do 100 adres\u00f3w i wyeksportuj punkty.\n\nNie potrzebujesz konta ani logowania. Ka\u017cda odpowied\u017a podaje swoje \u017ar\u00f3d\u0142a i licencje (OpenStreetMap, Overture Maps, Copernicus DEM, obrazy ESA WorldCover i Sentinel-2, otwarte dane IGN i DGFiP), a ka\u017cde pobranie zawiera swoj\u0105 licencj\u0119. Limity: wycinki do 20,000 obiekt\u00f3w i 200 km\u00b2 dla budynk\u00f3w (wi\u0119cej dla innych warstw), warstwice do oko\u0142o 10 x 10 km, rastry rze\u017aby na siatce najwy\u017cej oko\u0142o 4 milion\u00f3w kom\u00f3rek (kom\u00f3rki 30 m dla ma\u0142ych obszar\u00f3w, wi\u0119ksze dla du\u017cych), pliki do 50 MB i listy do 100 adres\u00f3w. Wysoko\u015bci pochodz\u0105 z modelu powierzchni, kt\u00f3ry uwzgl\u0119dnia budynki i drzewa. Wyniki s\u0105 przybli\u017cone i nie s\u0142u\u017c\u0105 do nawigacji, pomiar\u00f3w geodezyjnych ani wyznaczania granic prawnych."
+            "subtitle": "Dane przestrzenne gdziekolwiek",
+            "description": "Dane przestrzenne dla ka\u017cdego miejsca, w Twoim agencie AI. Popro\u015b o budynki, drogi, adresy, granice, u\u017cytkowanie terenu, wody, transport publiczny lub punkty zainteresowania w dowolnym miejscu na \u015bwiecie. Zobacz je na interaktywnej mapie wraz ze \u017ar\u00f3d\u0142em i licencj\u0105, a potem pobierz je jako pliki GIS (GeoPackage, Shapefile, GeoJSON, KML lub CSV), kt\u00f3re otworzysz w QGIS lub dowolnym innym narz\u0119dziu GIS. Dane mapowe pochodz\u0105 z Overture Maps i OpenStreetMap.\n\nTeren i zobrazowania: dla dowolnego obszaru otrzymasz model wysoko\u015bciowy (DEM), cieniowanie rze\u017aby i map\u0119 spadk\u00f3w jako GeoTIFF, a tak\u017ce wysoko\u015bci, profile i warstwice z Copernicus DEM GLO-30. Pobierzesz obraz Sentinel-2 z dowolnego miejsca (w barwach naturalnych, fa\u0142szywych lub NDVI) albo zdj\u0119cie lotnicze IGN we Francji.\n\nTrasy i odleg\u0142o\u015bci: trasy samochodowe, piesze lub rowerowe przez maksymalnie 25 miejsc, obszary osi\u0105galne w zadanym czasie podr\u00f3\u017cy, odleg\u0142o\u015bci w linii prostej, powierzchnie i bufory.\n\nPliki i wsp\u00f3\u0142rz\u0119dne: otw\u00f3rz plik GeoJSON, KML, KMZ, GPX, spakowany Shapefile, CSV lub WKT, sprawd\u017a go na mapie, przekonwertuj albo zbuforuj, scal, przytnij lub upro\u015b\u0107. Przeliczaj wsp\u00f3\u0142rz\u0119dne mi\u0119dzy stopniami dziesi\u0119tnymi, DMS, UTM, MGRS, Lambert 93 i kodami EPSG, z zalecanym lokalnym CRS. Geokoduj jeden adres lub list\u0119 do 100 adres\u00f3w i wyeksportuj punkty.\n\nFrancja: dzia\u0142ka katastralna i strefa miejscowego planu zagospodarowania (PLU) pod danym adresem, z oficjalnego katastru i G\u00e9oportail de l'Urbanisme, a tak\u017ce wysoko\u015b\u0107, liczba kondygnacji i rok budowy ka\u017cdego budynku z IGN BD TOPO. Nazwiska w\u0142a\u015bcicieli i ceny sprzeda\u017cy nigdy nie s\u0105 zwracane.\n\nZaloguj si\u0119 raz kontem TerraLab. Ka\u017cda odpowied\u017a podaje \u017ar\u00f3d\u0142a i licencje, a ka\u017cde pobranie zawiera swoj\u0105 licencj\u0119. Limity: do 20 000 obiekt\u00f3w w jednym wyodr\u0119bnieniu, warstwice do oko\u0142o 10 x 10 km, pliki do 50 MB, listy do 100 adres\u00f3w. Wysoko\u015bci pochodz\u0105 z modelu powierzchni, kt\u00f3ry uwzgl\u0119dnia budynki i drzewa. Wyniki s\u0105 przybli\u017cone i nie s\u0142u\u017c\u0105 do nawigacji, pomiar\u00f3w geodezyjnych ani wyznaczania granic prawnych.\n\nStworzone przez TerraLab, firm\u0119, kt\u00f3ra buduje narz\u0119dzia AI dla QGIS."
           },
           "ja-JP": {
-            "subtitle": "\u3042\u3089\u3086\u308b\u5834\u6240\u306eGIS\u30c7\u30fc\u30bf",
-            "description": "\u5efa\u7269\u3001\u9053\u8def\u3001\u5883\u754c\u3001\u571f\u5730\u5229\u7528\u3001\u6c34\u57df\u3001\u65bd\u8a2d\u306a\u3069\u306e\u5730\u70b9\u3001\u6a19\u9ad8\u3092\u3001\u3042\u3089\u3086\u308b\u5834\u6240\u306b\u3064\u3044\u3066\u5c0b\u306d\u3089\u308c\u307e\u3059\u3002\u51fa\u5178\u3068\u30e9\u30a4\u30bb\u30f3\u30b9\u3068\u3068\u3082\u306b\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u5730\u56f3\u3067\u78ba\u8a8d\u3057\u3001QGIS\u3001ArcGIS\u3001\u305d\u306e\u4ed6\u306eGIS\u5411\u3051\u306bGeoPackage\u3001Shapefile\u3001GeoJSON\u3001KML\u3001CSV\u3067\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3067\u304d\u307e\u3059\u3002\u30aa\u30fc\u30d7\u30f3\u30c7\u30fc\u30bf\u306fOverture Maps\u3068OpenStreetMap\u304b\u3089\u53d6\u5f97\u3057\u307e\u3059\u3002\n\n\u5730\u5f62\uff1a\u4e16\u754c\u4e2d\u306e\u3069\u306e\u30a8\u30ea\u30a2\u3067\u3082\u3001Copernicus DEM GLO-30\u304b\u3089\u3001\u30a8\u30ea\u30a2\u3067\u5207\u308a\u629c\u3044\u305fDEM (\u6570\u5024\u6a19\u9ad8\u30e2\u30c7\u30eb)\u3092GeoTIFF\u3067\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002\u9670\u5f71\u8d77\u4f0f\u56f3\u3068\u50be\u659c\u56f3\u306b\u52a0\u3048\u3001\u6a19\u9ad8\u5024\u3001\u65ad\u9762\u56f3(\u6a19\u9ad8\u30d7\u30ed\u30d5\u30a1\u30a4\u30eb)\u3001\u7b49\u9ad8\u7dda\u3082\u5f97\u3089\u308c\u307e\u3059\u3002\u30d5\u30e9\u30f3\u30b9\u3067\u306f\u3001\u516c\u5f0f\u306e\u5730\u7c4d\u56f3\u3068G\u00e9oportail de l'Urbanisme\u306e\u30aa\u30fc\u30d7\u30f3\u30c7\u30fc\u30bf\u304b\u3089\u3001\u4f4f\u6240\u306b\u3042\u308b\u5730\u7c4d\u533a\u753b\u3068\u90fd\u5e02\u8a08\u753b(PLU)\u306e\u30be\u30fc\u30f3\u3092\u8abf\u3079\u3089\u308c\u307e\u3059\u3002\u6240\u6709\u8005\u540d\u3068\u58f2\u8cb7\u4fa1\u683c\u306f\u8fd4\u3055\u308c\u307e\u305b\u3093\u3002\n\n\u30d5\u30a1\u30a4\u30eb\u3068\u5ea7\u6a19\uff1aGeoJSON\u3001KML\u3001KMZ\u3001GPX\u3001zip\u5727\u7e2e\u306eShapefile\u3001CSV\u3001WKT\u306e\u30d5\u30a1\u30a4\u30eb\u3092\u958b\u304d\u3001\u5730\u56f3\u3067\u78ba\u8a8d\u3057\u3066\u5909\u63db\u3067\u304d\u307e\u3059\u3002\u5341\u9032\u6cd5\u306e\u5ea6\u3001DMS\u3001UTM\u3001MGRS\u3001Lambert 93\u3001EPSG\u30b3\u30fc\u30c9\u306e\u9593\u3067\u5ea7\u6a19\u3092\u5909\u63db\u3067\u304d\u3001\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u9069\u3057\u305f\u73fe\u5730\u306eCRS\u3082\u793a\u3057\u307e\u3059\u30021\u304b\u6240\u306e\u5730\u70b9\u3084\u6700\u5927100\u4ef6\u306e\u4f4f\u6240\u306e\u30ea\u30b9\u30c8\u3092\u5730\u56f3\u306b\u8868\u793a\u3057\u3001\u30dd\u30a4\u30f3\u30c8\u3092\u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u3067\u304d\u307e\u3059\u3002\n\n\u30a2\u30ab\u30a6\u30f3\u30c8\u3084\u30b5\u30a4\u30f3\u30a4\u30f3\u306f\u4e0d\u8981\u3067\u3059\u3002\u3059\u3079\u3066\u306e\u56de\u7b54\u306b\u51fa\u5178\u3068\u30e9\u30a4\u30bb\u30f3\u30b9\u3092\u660e\u8a18\u3057\u307e\u3059(OpenStreetMap\u3001Overture Maps\u3001Copernicus DEM\u3001ESA WorldCover\u306eSentinel-2\u753b\u50cf\u3001IGN\u3068DGFiP\u306e\u30aa\u30fc\u30d7\u30f3\u30c7\u30fc\u30bf)\u3002\u3059\u3079\u3066\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u306b\u30e9\u30a4\u30bb\u30f3\u30b9\u304c\u542b\u307e\u308c\u307e\u3059\u3002\u5236\u9650\uff1a\u5efa\u7269\u306e\u62bd\u51fa\u306f\u6700\u592720,000\u30d5\u30a3\u30fc\u30c1\u30e3\u3001200 km\u00b2\u307e\u3067(\u4ed6\u306e\u30ec\u30a4\u30e4\u30fc\u306f\u3088\u308a\u5e83\u304f)\u3001\u7b49\u9ad8\u7dda\u306f\u7d0410 x 10 km\u307e\u3067\u3001\u5730\u5f62\u30e9\u30b9\u30bf\u30fc\u306f\u6700\u5927\u3067\u7d04400\u4e07\u30bb\u30eb\u306e\u30b0\u30ea\u30c3\u30c9(\u5c0f\u3055\u3044\u30a8\u30ea\u30a2\u306f30 m\u30bb\u30eb\u3001\u5e83\u3044\u30a8\u30ea\u30a2\u306f\u3088\u308a\u7c97\u304f)\u3001\u30d5\u30a1\u30a4\u30eb\u306f50 MB\u307e\u3067\u3001\u30ea\u30b9\u30c8\u306f100\u4ef6\u306e\u4f4f\u6240\u307e\u3067\u3067\u3059\u3002\u6a19\u9ad8\u306f\u3001\u5efa\u7269\u3084\u6a39\u6728\u3092\u542b\u3080\u8868\u5c64\u30e2\u30c7\u30eb\u304b\u3089\u5f97\u3066\u3044\u307e\u3059\u3002\u7d50\u679c\u306f\u6982\u7b97\u3067\u3042\u308a\u3001\u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3\u3001\u6e2c\u91cf\u3001\u6cd5\u7684\u306a\u5883\u754c\u306b\u306f\u4f7f\u3048\u307e\u305b\u3093\u3002"
+            "subtitle": "\u3042\u3089\u3086\u308b\u5834\u6240\u306e\u5730\u56f3\u30c7\u30fc\u30bf",
+            "description": "\u3042\u3089\u3086\u308b\u5834\u6240\u306e\u5730\u56f3\u30c7\u30fc\u30bf\u3092\u3001AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u4e2d\u3067\u3002\u4e16\u754c\u4e2d\u306e\u5efa\u7269\u3001\u9053\u8def\u3001\u4f4f\u6240\u3001\u5883\u754c\u3001\u571f\u5730\u5229\u7528\u3001\u6c34\u57df\u3001\u516c\u5171\u4ea4\u901a\u3001\u30b9\u30dd\u30c3\u30c8(POI)\u3092\u4f9d\u983c\u3067\u304d\u307e\u3059\u3002\u51fa\u5178\u3068\u30e9\u30a4\u30bb\u30f3\u30b9\u3064\u304d\u3067\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u5730\u56f3\u306b\u8868\u793a\u3057\u3001GIS\u30d5\u30a1\u30a4\u30eb(GeoPackage\u3001Shapefile\u3001GeoJSON\u3001KML\u3001CSV)\u3068\u3057\u3066\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u3068\u3001QGIS\u306a\u3069\u306eGIS\u30c4\u30fc\u30eb\u3067\u958b\u3051\u307e\u3059\u3002\u5730\u56f3\u30c7\u30fc\u30bf\u306fOverture Maps\u3068OpenStreetMap\u304b\u3089\u53d6\u5f97\u3057\u307e\u3059\u3002\n\n\u5730\u5f62\u3068\u753b\u50cf:\u4efb\u610f\u306e\u30a8\u30ea\u30a2\u306b\u3064\u3044\u3066\u3001Copernicus DEM GLO-30\u304b\u3089DEM\u3001\u9670\u5f71\u8d77\u4f0f\u56f3\u3001\u50be\u659c\u56f3\u3092GeoTIFF\u3067\u53d6\u5f97\u3067\u304d\u3001\u6a19\u9ad8\u3001\u65ad\u9762\u3001\u7b49\u9ad8\u7dda\u3082\u5f97\u3089\u308c\u307e\u3059\u3002\u4e16\u754c\u306e\u3069\u3053\u3067\u3082Sentinel-2\u753b\u50cf(\u30c8\u30a5\u30eb\u30fc\u30ab\u30e9\u30fc\u3001\u30d5\u30a9\u30fc\u30eb\u30b9\u30ab\u30e9\u30fc\u3001NDVI)\u3092\u53d6\u5f97\u3067\u304d\u3001\u30d5\u30e9\u30f3\u30b9\u3067\u306fIGN\u306e\u822a\u7a7a\u5199\u771f\u3082\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002\n\n\u30eb\u30fc\u30c8\u3068\u8ddd\u96e2:\u6700\u592725\u5730\u70b9\u3092\u7d4c\u7531\u3059\u308b\u8eca\u3001\u5f92\u6b69\u3001\u81ea\u8ee2\u8eca\u306e\u30eb\u30fc\u30c8\u3001\u6240\u8981\u6642\u9593\u3067\u5230\u9054\u3067\u304d\u308b\u7bc4\u56f2\u3001\u76f4\u7dda\u8ddd\u96e2\u3001\u9762\u7a4d\u3001\u30d0\u30c3\u30d5\u30a1\u3002\n\n\u30d5\u30a1\u30a4\u30eb\u3068\u5ea7\u6a19:GeoJSON\u3001KML\u3001KMZ\u3001GPX\u3001zip\u5727\u7e2e\u306eShapefile\u3001CSV\u3001WKT\u306e\u30d5\u30a1\u30a4\u30eb\u3092\u958b\u3044\u3066\u5730\u56f3\u4e0a\u3067\u78ba\u8a8d\u3057\u3001\u5909\u63db\u3057\u305f\u308a\u3001\u30d0\u30c3\u30d5\u30a1\u3001\u7d50\u5408\u3001\u30af\u30ea\u30c3\u30d7\u3001\u7c21\u7565\u5316\u3092\u884c\u3048\u307e\u3059\u3002\u5341\u9032\u6cd5\u306e\u5ea6\u3001\u5ea6\u5206\u79d2(DMS)\u3001UTM\u3001MGRS\u3001Lambert 93\u3001EPSG\u30b3\u30fc\u30c9\u306e\u9593\u3067\u5ea7\u6a19\u3092\u5909\u63db\u3057\u3001\u63a8\u5968\u3055\u308c\u308b\u5730\u57df\u306eCRS\u3082\u793a\u3057\u307e\u3059\u3002\u4f4f\u62401\u4ef6\u307e\u305f\u306f\u6700\u5927100\u4ef6\u306e\u30ea\u30b9\u30c8\u3092\u30b8\u30aa\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3057\u3001\u30dd\u30a4\u30f3\u30c8\u3092\u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u3067\u304d\u307e\u3059\u3002\n\n\u30d5\u30e9\u30f3\u30b9:\u4f4f\u6240\u3054\u3068\u306e\u5730\u7c4d\u533a\u753b\u3068\u90fd\u5e02\u8a08\u753b(PLU)\u306e\u5730\u57df\u533a\u5206\u3092\u3001\u516c\u5f0f\u306e\u5730\u7c4d\u56f3\u3068G\u00e9oportail de l'Urbanisme\u304b\u3089\u53d6\u5f97\u3057\u3001\u5404\u5efa\u7269\u306e\u9ad8\u3055\u3001\u968e\u6570\u3001\u5efa\u7bc9\u5e74\u3092IGN BD TOPO\u304b\u3089\u53d6\u5f97\u3057\u307e\u3059\u3002\u6240\u6709\u8005\u540d\u3068\u58f2\u8cb7\u4fa1\u683c\u306f\u8fd4\u3057\u307e\u305b\u3093\u3002\n\nTerraLab\u30a2\u30ab\u30a6\u30f3\u30c8\u3067\u4e00\u5ea6\u30ed\u30b0\u30a4\u30f3\u3059\u308b\u3060\u3051\u3067\u3059\u3002\u3059\u3079\u3066\u306e\u56de\u7b54\u306b\u51fa\u5178\u3068\u30e9\u30a4\u30bb\u30f3\u30b9\u3092\u660e\u8a18\u3057\u3001\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u306b\u306f\u30e9\u30a4\u30bb\u30f3\u30b9\u304c\u542b\u307e\u308c\u307e\u3059\u3002\u5236\u9650:1\u56de\u306e\u62bd\u51fa\u3067\u6700\u592720,000\u30d5\u30a3\u30fc\u30c1\u30e3\u3001\u7b49\u9ad8\u7dda\u306f\u7d0410 x 10 km\u307e\u3067\u3001\u30d5\u30a1\u30a4\u30eb\u306f\u6700\u592750 MB\u3001\u30ea\u30b9\u30c8\u306f\u6700\u5927100\u4ef6\u306e\u4f4f\u6240\u3002\u6a19\u9ad8\u306f\u5efa\u7269\u3084\u6a39\u6728\u3092\u542b\u3080\u8868\u9762\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304d\u307e\u3059\u3002\u7d50\u679c\u306f\u6982\u7b97\u3067\u3042\u308a\u3001\u822a\u6cd5\u3001\u6e2c\u91cf\u3001\u6cd5\u7684\u306a\u5883\u754c\u306b\u306f\u4f7f\u3048\u307e\u305b\u3093\u3002\n\nQGIS\u5411\u3051\u306eAI\u30c4\u30fc\u30eb\u3092\u958b\u767a\u3059\u308bTerraLab\u304c\u63d0\u4f9b\u3057\u3066\u3044\u307e\u3059\u3002"
           },
           "ko-KR": {
-            "subtitle": "\ubaa8\ub4e0 \uc7a5\uc18c\uc758 GIS \ub370\uc774\ud130",
-            "description": "\uc5b4\ub290 \uc7a5\uc18c\ub4e0 \uac74\ubb3c, \ub3c4\ub85c, \uacbd\uacc4, \ud1a0\uc9c0 \uc774\uc6a9, \uc218\uacc4, \uad00\uc2ec \uc9c0\uc810, \uace0\ub3c4\ub97c \uc694\uccad\ud574 \ubcf4\uc138\uc694. \ucd9c\ucc98\uc640 \ub77c\uc774\uc120\uc2a4\uac00 \ud45c\uc2dc\ub41c \uc778\ud130\ub799\ud2f0\ube0c \uc9c0\ub3c4\uc5d0\uc11c \ud655\uc778\ud55c \ub4a4, QGIS, ArcGIS \ub610\ub294 \ub2e4\ub978 GIS\uc5d0\uc11c \uc4f8 \uc218 \uc788\ub3c4\ub85d GeoPackage, Shapefile, GeoJSON, KML, CSV\ub85c \ub2e4\uc6b4\ub85c\ub4dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uacf5\uac1c \ub370\uc774\ud130\ub294 Overture Maps\uc640 OpenStreetMap\uc5d0\uc11c \uac00\uc838\uc635\ub2c8\ub2e4.\n\n\uc9c0\ud615: \uc804 \uc138\uacc4 \uc5b4\ub290 \uc9c0\uc5ed\uc774\ub4e0 Copernicus DEM GLO-30\uc744 \ubc14\ud0d5\uc73c\ub85c \ud574\ub2f9 \uc601\uc5ed\uc5d0 \ub9de\ucdb0 \uc790\ub978 DEM(\uc218\uce58\ud45c\uace0\ubaa8\ub378)\uc744 GeoTIFF\ub85c \ubc1b\uc744 \uc218 \uc788\uace0, \uc74c\uc601\uae30\ubcf5\ub3c4\uc640 \uacbd\uc0ac\ub3c4 \uc9c0\ub3c4, \uace0\ub3c4 \uac12, \uace0\ub3c4 \ud504\ub85c\ud30c\uc77c, \ub4f1\uace0\uc120\ub3c4 \ud568\uaed8 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud504\ub791\uc2a4\uc5d0\uc11c\ub294 \uc8fc\uc18c\ub97c \uae30\uc900\uc73c\ub85c \uc9c0\uc801 \ud544\uc9c0\uc640 \uc9c0\uc5ed \ub3c4\uc2dc\uacc4\ud68d(PLU) \uad6c\uc5ed\uc744 \ucc3e\uc544 \uc90d\ub2c8\ub2e4. \uacf5\uc2dd \uc9c0\uc801\ub3c4\uc640 G\u00e9oportail de l'Urbanisme \uacf5\uac1c \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uba70, \uc18c\uc720\uc790 \uc774\ub984\uacfc \ub9e4\ub9e4 \uac00\uaca9\uc740 \uc81c\uacf5\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.\n\n\ud30c\uc77c\uacfc \uc88c\ud45c: GeoJSON, KML, KMZ, GPX, \uc555\ucd95\ud55c Shapefile, CSV, WKT \ud30c\uc77c\uc744 \uc5f4\uc5b4 \uc9c0\ub3c4\uc5d0\uc11c \ud655\uc778\ud558\uace0 \ub2e4\ub978 \ud615\uc2dd\uc73c\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc2ed\uc9c4\ubc95 \ub3c4, DMS, UTM, MGRS, Lambert 93, EPSG \ucf54\ub4dc \uc0ac\uc774\uc5d0\uc11c \uc88c\ud45c\ub97c \ubcc0\ud658\ud560 \uc218 \uc788\uace0, \ud504\ub85c\uc81d\ud2b8\uc5d0 \ub9de\ub294 \ud604\uc9c0 \uc88c\ud45c\uacc4(CRS)\ub3c4 \ucd94\ucc9c\ubc1b\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc7a5\uc18c \ud558\ub098 \ub610\ub294 \ucd5c\ub300 100\uac1c\uc758 \uc8fc\uc18c \ubaa9\ub85d\uc744 \uc9c0\ub3c4\uc5d0 \ud45c\uc2dc\ud558\uace0 \uadf8 \uc810\ub4e4\uc744 \ub0b4\ubcf4\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n\n\uacc4\uc815\uc774\ub098 \ub85c\uadf8\uc778\uc774 \ud544\uc694 \uc5c6\uc2b5\ub2c8\ub2e4. \ubaa8\ub4e0 \ub2f5\ubcc0\uc5d0\ub294 \ucd9c\ucc98\uc640 \ub77c\uc774\uc120\uc2a4(OpenStreetMap, Overture Maps, Copernicus DEM, ESA WorldCover Sentinel-2 \uc601\uc0c1, IGN \ubc0f DGFiP \uacf5\uac1c \ub370\uc774\ud130)\uac00 \ud45c\uc2dc\ub418\uace0, \ubaa8\ub4e0 \ub2e4\uc6b4\ub85c\ub4dc\uc5d0\ub294 \ud574\ub2f9 \ub77c\uc774\uc120\uc2a4\uac00 \ud3ec\ud568\ub429\ub2c8\ub2e4. \uc81c\ud55c \uc0ac\ud56d: \ucd94\ucd9c\uc740 \uac74\ubb3c \uae30\uc900 \ucd5c\ub300 20,000\uac1c \ud53c\ucc98\uc640 200 km\u00b2\uae4c\uc9c0(\ub2e4\ub978 \ub808\uc774\uc5b4\ub294 \ub354 \ub113\uc74c), \ub4f1\uace0\uc120\uc740 \uc57d 10 x 10 km\uae4c\uc9c0, \uc9c0\ud615 \ub798\uc2a4\ud130\ub294 \ucd5c\ub300 \uc57d 4 million \uc140 \uaca9\uc790\uae4c\uc9c0(\uc791\uc740 \uc9c0\uc5ed\uc740 30 m \uc140, \ub113\uc740 \uc9c0\uc5ed\uc740 \ub354 \uac70\uce5c \uc140), \ud30c\uc77c\uc740 50 MB\uae4c\uc9c0, \uc8fc\uc18c \ubaa9\ub85d\uc740 100\uac1c\uae4c\uc9c0 \uac00\ub2a5\ud569\ub2c8\ub2e4. \uace0\ub3c4\ub294 \uac74\ubb3c\uacfc \ub098\ubb34\uac00 \ud3ec\ud568\ub41c \ud45c\uba74 \ubaa8\ub378\uc5d0\uc11c \uac00\uc838\uc635\ub2c8\ub2e4. \uacb0\uacfc\ub294 \uadfc\uc0bf\uac12\uc774\uba70 \ub0b4\ube44\uac8c\uc774\uc158, \uce21\ub7c9, \ubc95\uc801 \uacbd\uacc4\uc5d0\ub294 \uc0ac\uc6a9\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4."
+            "subtitle": "\ubaa8\ub4e0 \uc7a5\uc18c\uc758 \uc9c0\ub9ac\uacf5\uac04 \ub370\uc774\ud130",
+            "description": "\ubaa8\ub4e0 \uc7a5\uc18c\uc758 \uc9c0\ub9ac\uacf5\uac04 \ub370\uc774\ud130\ub97c AI \uc5d0\uc774\uc804\ud2b8 \uc548\uc5d0\uc11c. \uc804 \uc138\uacc4 \uc5b4\ub514\ub4e0 \uac74\ubb3c, \ub3c4\ub85c, \uc8fc\uc18c, \uacbd\uacc4, \ud1a0\uc9c0 \uc774\uc6a9, \uc218\uacc4, \ub300\uc911\uad50\ud1b5, \uad00\uc2ec \uc9c0\uc810\uc744 \uc694\uccad\ud558\uc138\uc694. \ucd9c\ucc98\uc640 \ub77c\uc774\uc120\uc2a4\uac00 \ud45c\uc2dc\ub41c \ub300\ud654\ud615 \uc9c0\ub3c4\uc5d0\uc11c \ud655\uc778\ud55c \ub4a4, QGIS\ub098 \ub2e4\ub978 GIS \ub3c4\uad6c\uc5d0\uc11c \uc5f4 \uc218 \uc788\ub294 GIS \ud30c\uc77c(GeoPackage, Shapefile, GeoJSON, KML, CSV)\ub85c \ub2e4\uc6b4\ub85c\ub4dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc9c0\ub3c4 \ub370\uc774\ud130\ub294 Overture Maps\uc640 OpenStreetMap\uc5d0\uc11c \uac00\uc838\uc635\ub2c8\ub2e4.\n\n\uc9c0\ud615\uacfc \uc601\uc0c1: \uc6d0\ud558\ub294 \uc9c0\uc5ed\uc758 DEM, \uc74c\uc601\uae30\ubcf5\ub3c4, \uacbd\uc0ac\ub3c4\ub97c GeoTIFF\ub85c \ubc1b\uc744 \uc218 \uc788\uace0, \ud45c\uace0, \ub2e8\uba74, \ub4f1\uace0\uc120\ub3c4 Copernicus DEM GLO-30 \uae30\ubc18\uc73c\ub85c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc804 \uc138\uacc4 \uc5b4\ub514\uc11c\ub098 Sentinel-2 \uc601\uc0c1(\ud2b8\ub8e8\uceec\ub7ec, \uac70\uc9d3\uc0c9, NDVI)\uc744 \uac00\uc838\uc624\uace0, \ud504\ub791\uc2a4\uc5d0\uc11c\ub294 IGN \ud56d\uacf5\uc0ac\uc9c4\ub3c4 \uac00\uc838\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n\n\uacbd\ub85c\uc640 \uac70\ub9ac: \ucd5c\ub300 25\uac1c \uc7a5\uc18c\ub97c \uac70\uce58\ub294 \uc790\ub3d9\ucc28, \ub3c4\ubcf4, \uc790\uc804\uac70 \uacbd\ub85c, \uc774\ub3d9 \uc2dc\uac04 \uc548\uc5d0 \ub3c4\ub2ec \uac00\ub2a5\ud55c \uc9c0\uc5ed, \uc9c1\uc120 \uac70\ub9ac, \uba74\uc801, \ubc84\ud37c.\n\n\ud30c\uc77c\uacfc \uc88c\ud45c: GeoJSON, KML, KMZ, GPX, \uc555\ucd95\ud55c Shapefile, CSV, WKT \ud30c\uc77c\uc744 \uc5f4\uc5b4 \uc9c0\ub3c4\uc5d0\uc11c \ud655\uc778\ud558\uace0, \ubcc0\ud658\ud558\uac70\ub098 \ubc84\ud37c, \ubcd1\ud569, \ud074\ub9bd, \ub2e8\uc21c\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc2ed\uc9c4 \ub3c4, DMS, UTM, MGRS, Lambert 93, EPSG \ucf54\ub4dc \uc0ac\uc774\uc5d0\uc11c \uc88c\ud45c\ub97c \ubcc0\ud658\ud558\uace0, \uad8c\uc7a5 \uc9c0\uc5ed CRS\ub3c4 \uc54c\ub824\uc90d\ub2c8\ub2e4. \uc8fc\uc18c \ud558\ub098 \ub610\ub294 \ucd5c\ub300 100\uac1c\uc758 \ubaa9\ub85d\uc744 \uc9c0\uc624\ucf54\ub529\ud558\uace0 \ud3ec\uc778\ud2b8\ub97c \ub0b4\ubcf4\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n\n\ud504\ub791\uc2a4: \uc8fc\uc18c \uae30\uc900 \uc9c0\uc801 \ud544\uc9c0\uc640 \ub3c4\uc2dc\uacc4\ud68d(PLU) \uad6c\uc5ed\uc744 \uacf5\uc2dd \uc9c0\uc801\ub3c4\uc640 G\u00e9oportail de l'Urbanisme\uc5d0\uc11c \uac00\uc838\uc624\uace0, \uac74\ubb3c\ubcc4 \ub192\uc774, \uce35\uc218, \uc900\uacf5 \uc5f0\ub3c4\ub97c IGN BD TOPO\uc5d0\uc11c \uac00\uc838\uc635\ub2c8\ub2e4. \uc18c\uc720\uc790 \uc774\ub984\uacfc \ub9e4\ub9e4 \uac00\uaca9\uc740 \uc81c\uacf5\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.\n\nTerraLab \uacc4\uc815\uc73c\ub85c \ud55c \ubc88\ub9cc \ub85c\uadf8\uc778\ud558\uba74 \ub429\ub2c8\ub2e4. \ubaa8\ub4e0 \ub2f5\ubcc0\uc5d0 \ucd9c\ucc98\uc640 \ub77c\uc774\uc120\uc2a4\ub97c \ubc1d\ud788\uace0, \ubaa8\ub4e0 \ub2e4\uc6b4\ub85c\ub4dc\uc5d0 \ub77c\uc774\uc120\uc2a4\uac00 \ud3ec\ud568\ub429\ub2c8\ub2e4. \uc81c\ud55c: \ucd94\ucd9c\ub2f9 \ucd5c\ub300 20,000\uac1c \ud53c\ucc98, \ub4f1\uace0\uc120\uc740 \uc57d 10 x 10 km\uae4c\uc9c0, \ud30c\uc77c\uc740 \ucd5c\ub300 50 MB, \uc8fc\uc18c \ubaa9\ub85d\uc740 \ucd5c\ub300 100\uac1c. \ud45c\uace0\ub294 \uac74\ubb3c\uacfc \ub098\ubb34\ub97c \ud3ec\ud568\ud558\ub294 \ud45c\uba74 \ubaa8\ub378\uc5d0\uc11c \uac00\uc838\uc635\ub2c8\ub2e4. \uacb0\uacfc\ub294 \uadfc\uc0ac\uac12\uc774\uba70 \ub0b4\ube44\uac8c\uc774\uc158, \uce21\ub7c9, \ubc95\uc801 \uacbd\uacc4\uc5d0\ub294 \uc0ac\uc6a9\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.\n\nQGIS\uc6a9 AI \ub3c4\uad6c\ub97c \ub9cc\ub4dc\ub294 TerraLab\uc774 \ub9cc\ub4e4\uc5c8\uc2b5\ub2c8\ub2e4."
           },
           "zh-CN": {
-            "subtitle": "\u4efb\u4f55\u5730\u65b9\u7684GIS\u6570\u636e",
-            "description": "\u53ef\u67e5\u8be2\u4efb\u610f\u5730\u70b9\u7684\u5efa\u7b51\u3001\u9053\u8def\u3001\u8fb9\u754c\u3001\u571f\u5730\u5229\u7528\u3001\u6c34\u4f53\u3001\u5174\u8da3\u70b9\u6216\u9ad8\u7a0b\u3002\u5728\u4ea4\u4e92\u5f0f\u5730\u56fe\u4e0a\u67e5\u770b\u8fd9\u4e9b\u6570\u636e\u53ca\u5176\u6765\u6e90\u548c\u8bb8\u53ef,\u518d\u4e0b\u8f7d\u4e3a GeoPackage\u3001Shapefile\u3001GeoJSON\u3001KML \u6216 CSV,\u7528\u4e8e QGIS\u3001ArcGIS \u6216\u4efb\u4f55 GIS\u3002\u5f00\u653e\u6570\u636e\u6765\u81ea Overture Maps \u548c OpenStreetMap\u3002\n\n\u5730\u5f62:\u5bf9\u5168\u7403\u4efb\u610f\u533a\u57df,\u53ef\u83b7\u53d6\u6309\u533a\u57df\u88c1\u526a\u3001\u4ee5 GeoTIFF \u63d0\u4f9b\u7684 DEM(\u6570\u5b57\u9ad8\u7a0b\u6a21\u578b)\u3001\u5c71\u4f53\u9634\u5f71\u548c\u5761\u5ea6\u56fe,\u4ee5\u53ca\u9ad8\u7a0b\u3001\u9ad8\u7a0b\u5256\u9762\u548c\u7b49\u9ad8\u7ebf,\u6570\u636e\u6765\u81ea Copernicus DEM GLO-30\u3002\u5728\u6cd5\u56fd,\u53ef\u6309\u5730\u5740\u67e5\u627e\u5730\u7c4d\u5730\u5757\u548c\u5730\u65b9\u57ce\u5e02\u89c4\u5212(PLU)\u5206\u533a,\u6570\u636e\u6765\u81ea\u5b98\u65b9\u5730\u7c4d\u548c G\u00e9oportail de l'Urbanisme \u5f00\u653e\u6570\u636e;\u4e0d\u4f1a\u8fd4\u56de\u4e1a\u4e3b\u59d3\u540d\u548c\u6210\u4ea4\u4ef7\u683c\u3002\n\n\u6587\u4ef6\u4e0e\u5750\u6807:\u6253\u5f00 GeoJSON\u3001KML\u3001KMZ\u3001GPX\u3001\u538b\u7f29\u7684 Shapefile\u3001CSV \u6216 WKT \u6587\u4ef6,\u5728\u5730\u56fe\u4e0a\u68c0\u67e5\u5e76\u8f6c\u6362\u683c\u5f0f\u3002\u53ef\u5728\u5341\u8fdb\u5236\u5ea6\u3001\u5ea6\u5206\u79d2\u3001UTM\u3001MGRS\u3001Lambert 93 \u548c EPSG \u4ee3\u7801\u4e4b\u95f4\u8f6c\u6362\u5750\u6807,\u5e76\u4e3a\u4f60\u7684\u9879\u76ee\u63a8\u8350\u5408\u9002\u7684\u672c\u5730\u5750\u6807\u53c2\u8003\u7cfb(CRS)\u3002\u53ef\u628a\u5355\u4e2a\u5730\u70b9\u6216\u6700\u591a 100 \u4e2a\u5730\u5740\u7684\u5217\u8868\u653e\u5230\u5730\u56fe\u4e0a,\u5e76\u5bfc\u51fa\u8fd9\u4e9b\u70b9\u3002\n\n\u65e0\u9700\u8d26\u53f7\u6216\u767b\u5f55\u3002\u6bcf\u4e2a\u56de\u7b54\u90fd\u4f1a\u6ce8\u660e\u6765\u6e90\u548c\u8bb8\u53ef(OpenStreetMap\u3001Overture Maps\u3001Copernicus DEM\u3001ESA WorldCover Sentinel-2 \u5f71\u50cf\u3001IGN \u548c DGFiP \u5f00\u653e\u6570\u636e),\u6bcf\u4e2a\u4e0b\u8f7d\u6587\u4ef6\u90fd\u9644\u5e26\u5176\u8bb8\u53ef\u3002\u9650\u5236:\u63d0\u53d6\u6700\u591a 20,000 \u4e2a\u8981\u7d20,\u5efa\u7b51\u7269\u6700\u591a 200 km\u00b2(\u5176\u4ed6\u56fe\u5c42\u8303\u56f4\u53ef\u66f4\u5927),\u7b49\u9ad8\u7ebf\u6700\u5927\u7ea6 10 x 10 km,\u5730\u5f62\u6805\u683c\u6700\u591a\u7ea6 4 million \u4e2a\u5355\u5143\u683c(\u5c0f\u533a\u57df\u4e3a 30 m \u5355\u5143\u683c,\u5927\u533a\u57df\u66f4\u7c97),\u6587\u4ef6\u6700\u5927 50 MB,\u5730\u5740\u5217\u8868\u6700\u591a 100 \u4e2a\u3002\u9ad8\u7a0b\u6765\u81ea\u5305\u542b\u5efa\u7b51\u7269\u548c\u6811\u6728\u7684\u5730\u8868\u6a21\u578b\u3002\u7ed3\u679c\u4e3a\u8fd1\u4f3c\u503c,\u4e0d\u53ef\u7528\u4e8e\u5bfc\u822a\u3001\u6d4b\u91cf\u6216\u6cd5\u5b9a\u8fb9\u754c\u3002"
+            "subtitle": "\u4efb\u4f55\u5730\u65b9\u7684\u5730\u56fe\u6570\u636e",
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           },
           "zh-TW": {
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-            "description": "\u53ef\u67e5\u8a62\u4efb\u4f55\u5730\u9ede\u7684\u5efa\u7bc9\u7269\u3001\u9053\u8def\u3001\u884c\u653f\u754c\u7dda\u3001\u571f\u5730\u5229\u7528\u3001\u6c34\u57df\u3001\u8208\u8da3\u9ede\u6216\u9ad8\u7a0b\u3002\u5728\u4e92\u52d5\u5f0f\u5730\u5716\u4e0a\u67e5\u770b\u8cc7\u6599\u53ca\u5176\u4f86\u6e90\u8207\u6388\u6b0a\uff0c\u518d\u4e0b\u8f09\u70ba GeoPackage\u3001Shapefile\u3001GeoJSON\u3001KML \u6216 CSV\uff0c\u4f9b QGIS\u3001ArcGIS \u6216\u4efb\u4f55 GIS \u4f7f\u7528\u3002\u958b\u653e\u8cc7\u6599\u4f86\u81ea Overture Maps \u548c OpenStreetMap\u3002\n\n\u5730\u5f62\uff1a\u91dd\u5c0d\u5168\u7403\u4efb\u4f55\u5340\u57df\uff0c\u53d6\u5f97\u4f9d\u7bc4\u570d\u88c1\u5207\u7684 DEM\uff08\u6578\u503c\u9ad8\u7a0b\u6a21\u578b\uff09GeoTIFF\u3001\u5c71\u5f71\u8207\u5761\u5ea6\u5716\uff0c\u4ee5\u53ca\u9ad8\u7a0b\u3001\u9ad8\u7a0b\u5256\u9762\u548c\u7b49\u9ad8\u7dda\uff0c\u8cc7\u6599\u4f86\u81ea Copernicus DEM GLO-30\u3002\u5728\u6cd5\u570b\uff0c\u53ef\u4f9d\u5730\u5740\u67e5\u8a62\u5730\u7c4d\u5730\u584a\u8207\u5730\u65b9\u90fd\u5e02\u8a08\u756b\uff08PLU\uff09\u5206\u5340\uff0c\u8cc7\u6599\u4f86\u81ea\u5b98\u65b9\u5730\u7c4d\u8207 G\u00e9oportail de l'Urbanisme \u958b\u653e\u8cc7\u6599\uff1b\u4e0d\u6703\u63d0\u4f9b\u6240\u6709\u6b0a\u4eba\u59d3\u540d\u8207\u6210\u4ea4\u50f9\u683c\u3002\n\n\u6a94\u6848\u8207\u5ea7\u6a19\uff1a\u53ef\u958b\u555f GeoJSON\u3001KML\u3001KMZ\u3001GPX\u3001\u58d3\u7e2e\u7684 Shapefile\u3001CSV \u6216 WKT \u6a94\u6848\uff0c\u5728\u5730\u5716\u4e0a\u6aa2\u67e5\u4e26\u8f49\u63db\u683c\u5f0f\u3002\u53ef\u5728\u5341\u9032\u4f4d\u5ea6\u3001DMS\u3001UTM\u3001MGRS\u3001Lambert 93 \u8207 EPSG \u4ee3\u78bc\u4e4b\u9593\u8f49\u63db\u5ea7\u6a19\uff0c\u4e26\u70ba\u4f60\u7684\u5c08\u6848\u63a8\u85a6\u9069\u5408\u7684\u5728\u5730 CRS\u3002\u53ef\u5c07\u55ae\u4e00\u5730\u9ede\u6216\u6700\u591a 100 \u500b\u5730\u5740\u7684\u6e05\u55ae\u6a19\u793a\u5728\u5730\u5716\u4e0a\uff0c\u4e26\u532f\u51fa\u9019\u4e9b\u9ede\u4f4d\u3002\n\n\u4e0d\u9700\u8981\u5e33\u865f\u6216\u767b\u5165\u3002\u6bcf\u500b\u56de\u7b54\u90fd\u6703\u6a19\u660e\u8cc7\u6599\u4f86\u6e90\u8207\u6388\u6b0a\uff08OpenStreetMap\u3001Overture Maps\u3001Copernicus DEM\u3001ESA WorldCover Sentinel-2 \u5f71\u50cf\uff0c\u4ee5\u53ca IGN \u548c DGFiP \u958b\u653e\u8cc7\u6599\uff09\uff0c\u6bcf\u6b21\u4e0b\u8f09\u4e5f\u90fd\u9644\u4e0a\u6388\u6b0a\u8cc7\u8a0a\u3002\u9650\u5236\uff1a\u64f7\u53d6\u6700\u591a 20,000 \u500b\u8981\u7d20\uff0c\u5efa\u7bc9\u7269\u7bc4\u570d\u6700\u5927 200 km\u00b2\uff08\u5176\u4ed6\u5716\u5c64\u53ef\u66f4\u5927\uff09\uff0c\u7b49\u9ad8\u7dda\u7bc4\u570d\u6700\u5927\u7d04 10 x 10 km\uff0c\u5730\u5f62\u7db2\u683c\u8cc7\u6599\u6700\u591a\u7d04 4 million \u500b\u7db2\u683c\uff08\u5c0f\u7bc4\u570d\u5340\u57df\u70ba 30 m \u7db2\u683c\uff0c\u5927\u7bc4\u570d\u5340\u57df\u5247\u8f03\u7c97\uff09\uff0c\u6a94\u6848\u6700\u5927 50 MB\uff0c\u5730\u5740\u6e05\u55ae\u6700\u591a 100 \u500b\u3002\u9ad8\u7a0b\u4f86\u81ea\u5305\u542b\u5efa\u7bc9\u7269\u8207\u6a39\u6728\u7684\u8868\u9762\u6a21\u578b\u3002\u7d50\u679c\u50c5\u70ba\u8fd1\u4f3c\u503c\uff0c\u4e0d\u9069\u7528\u65bc\u5c0e\u822a\u3001\u6e2c\u91cf\u6216\u6cd5\u5b9a\u754c\u7dda\u3002"
+            "subtitle": "\u4efb\u4f55\u5730\u9ede\u7684\u5716\u8cc7",
+            "description": "\u4efb\u4f55\u5730\u9ede\u7684\u5716\u8cc7\uff0c\u5c31\u5728\u4f60\u7684 AI \u4ee3\u7406\u4e2d\u3002\u53ef\u67e5\u8a62\u5168\u7403\u4efb\u4f55\u5730\u65b9\u7684\u5efa\u7269\u3001\u9053\u8def\u3001\u5730\u5740\u3001\u884c\u653f\u754c\u7dda\u3001\u571f\u5730\u4f7f\u7528\u3001\u6c34\u9ad4\u3001\u5927\u773e\u904b\u8f38\u6216\u8208\u8da3\u9ede\uff0c\u4e26\u5728\u4e92\u52d5\u5f0f\u5730\u5716\u4e0a\u67e5\u770b\uff0c\u540c\u6642\u986f\u793a\u8cc7\u6599\u4f86\u6e90\u8207\u6388\u6b0a\u689d\u6b3e\u3002\u63a5\u8457\u53ef\u4e0b\u8f09\u70ba GIS \u6a94\u6848\uff08GeoPackage\u3001Shapefile\u3001GeoJSON\u3001KML \u6216 CSV\uff09\uff0c\u53ef\u5728 QGIS \u6216\u4efb\u4f55\u5176\u4ed6 GIS \u5de5\u5177\u4e2d\u958b\u555f\u3002\u5730\u5716\u8cc7\u6599\u4f86\u81ea Overture Maps \u8207 OpenStreetMap\u3002\n\n\u5730\u5f62\u8207\u5f71\u50cf\uff1a\u91dd\u5c0d\u4efb\u4f55\u5340\u57df\uff0c\u90fd\u80fd\u53d6\u5f97 DEM\u3001\u5730\u5f62\u9670\u5f71\u5716\u8207\u5761\u5ea6\u5716\uff08GeoTIFF \u683c\u5f0f\uff09\uff0c\u4ee5\u53ca\u9ad8\u7a0b\u3001\u5256\u9762\u8207\u7b49\u9ad8\u7dda\uff0c\u8cc7\u6599\u4f86\u81ea Copernicus DEM GLO-30\u3002\u4e5f\u53ef\u53d6\u5f97\u5168\u7403\u4efb\u4f55\u5730\u9ede\u7684 Sentinel-2 \u5f71\u50cf\uff08\u771f\u5f69\u8272\u3001\u5047\u5f69\u8272\u6216 NDVI\uff09\uff0c\u6216\u6cd5\u570b\u5883\u5167\u7684 IGN \u822a\u7a7a\u7167\u7247\u3002\n\n\u8def\u7dda\u8207\u8ddd\u96e2\uff1a\u6700\u591a\u53ef\u4e32\u9023 25 \u500b\u5730\u9ede\u7684\u958b\u8eca\u3001\u6b65\u884c\u6216\u81ea\u884c\u8eca\u8def\u7dda\u3001\u5728\u6307\u5b9a\u884c\u7a0b\u6642\u9593\u5167\u53ef\u62b5\u9054\u7684\u7bc4\u570d\u3001\u76f4\u7dda\u8ddd\u96e2\u3001\u9762\u7a4d\u8207\u7de9\u885d\u5340\u3002\n\n\u6a94\u6848\u8207\u5ea7\u6a19\uff1a\u958b\u555f GeoJSON\u3001KML\u3001KMZ\u3001GPX\u3001\u58d3\u7e2e\u7684 Shapefile\u3001CSV \u6216 WKT \u6a94\u6848\uff0c\u5728\u5730\u5716\u4e0a\u6aa2\u67e5\u5167\u5bb9\u3001\u8f49\u63db\u683c\u5f0f\uff0c\u6216\u9032\u884c\u7de9\u885d\u3001\u5408\u4f75\u3001\u88c1\u5207\u8207\u7c21\u5316\u3002\u53ef\u5728\u5341\u9032\u4f4d\u5ea6\u3001DMS\u3001UTM\u3001MGRS\u3001Lambert 93 \u8207 EPSG \u4ee3\u78bc\u4e4b\u9593\u8f49\u63db\u5ea7\u6a19\uff0c\u4e26\u63d0\u4f9b\u5efa\u8b70\u4f7f\u7528\u7684\u7576\u5730 CRS\u3002\u53ef\u5c0d\u55ae\u4e00\u5730\u5740\u6216\u6700\u591a 100 \u7b46\u5730\u5740\u6e05\u55ae\u9032\u884c\u5730\u7406\u7de8\u78bc\uff0c\u4e26\u532f\u51fa\u9ede\u4f4d\u3002\n\n\u6cd5\u570b\uff1a\u67e5\u8a62\u67d0\u500b\u5730\u5740\u7684\u5730\u7c4d\u5730\u865f\u8207\u7576\u5730\u90fd\u5e02\u8a08\u756b\uff08PLU\uff09\u5206\u5340\uff0c\u8cc7\u6599\u4f86\u81ea\u5b98\u65b9\u5730\u7c4d\u8207 G\u00e9oportail de l'Urbanisme\uff0c\u4e26\u53ef\u5f9e IGN BD TOPO \u53d6\u5f97\u6bcf\u68df\u5efa\u7269\u7684\u9ad8\u5ea6\u3001\u6a13\u5c64\u6578\u8207\u5efa\u9020\u5e74\u4efd\u3002\u4e0d\u6703\u63d0\u4f9b\u6240\u6709\u6b0a\u4eba\u59d3\u540d\u8207\u6210\u4ea4\u50f9\u683c\u3002\n\n\u4f7f\u7528 TerraLab \u5e33\u865f\u767b\u5165\u4e00\u6b21\u5373\u53ef\u3002\u6bcf\u500b\u56de\u7b54\u90fd\u6703\u6a19\u660e\u8cc7\u6599\u4f86\u6e90\u8207\u6388\u6b0a\u689d\u6b3e\uff0c\u6bcf\u4efd\u4e0b\u8f09\u6a94\u6848\u4e5f\u90fd\u9644\u6709\u6388\u6b0a\u689d\u6b3e\u3002\u9650\u5236\uff1a\u6bcf\u6b21\u64f7\u53d6\u6700\u591a 20,000 \u500b\u8981\u7d20\uff0c\u7b49\u9ad8\u7dda\u7bc4\u570d\u6700\u5927\u7d04 10 x 10 \u516c\u91cc\uff0c\u6a94\u6848\u5927\u5c0f\u4e0a\u9650 50 MB\uff0c\u5730\u5740\u6e05\u55ae\u4e0a\u9650 100 \u7b46\u3002\u9ad8\u7a0b\u8cc7\u6599\u4f86\u81ea\u5305\u542b\u5efa\u7269\u8207\u6a39\u6728\u7684\u5730\u8868\u6a21\u578b\u3002\u7d50\u679c\u50c5\u70ba\u6982\u7565\u503c\uff0c\u4e0d\u9069\u7528\u65bc\u5c0e\u822a\u3001\u6e2c\u91cf\u6216\u6cd5\u5b9a\u754c\u7dda\u3002\n\n\u7531 TerraLab \u88fd\u4f5c\uff0c\u6211\u5011\u5c08\u6ce8\u958b\u767c QGIS \u7684 AI \u5de5\u5177\u3002"
           },
           "id-ID": {
-            "subtitle": "Data SIG untuk tempat mana pun",
-            "description": "Minta bangunan, jalan, batas wilayah, tata guna lahan, perairan, titik minat atau elevasi untuk lokasi mana pun. Lihat semuanya di peta interaktif beserta sumber dan lisensinya, lalu unduh sebagai GeoPackage, Shapefile, GeoJSON, KML atau CSV untuk QGIS, ArcGIS atau GIS apa pun. Data terbuka berasal dari Overture Maps dan OpenStreetMap.\n\nRelief: untuk area di mana pun di dunia, dapatkan DEM (model elevasi digital) yang dipotong sesuai area sebagai GeoTIFF, bayangan relief dan peta kemiringan lereng, serta elevasi, profil elevasi dan garis kontur, dari Copernicus DEM GLO-30. Di Prancis, temukan persil kadaster dan zona rencana tata ruang lokal (PLU) pada suatu alamat, dari data terbuka kadaster resmi dan G\u00e9oportail de l'Urbanisme; nama pemilik dan harga jual tidak pernah ditampilkan.\n\nFile dan koordinat: buka file GeoJSON, KML, KMZ, GPX, Shapefile berformat zip, CSV atau WKT, periksa di peta, lalu konversikan. Konversikan koordinat antara derajat desimal, DMS, UTM, MGRS, Lambert 93 dan kode EPSG, dengan CRS lokal yang direkomendasikan untuk proyek Anda. Tampilkan satu tempat atau daftar hingga 100 alamat di peta dan ekspor titik-titiknya.\n\nTidak perlu akun atau login. Setiap jawaban mencantumkan sumber dan lisensinya (OpenStreetMap, Overture Maps, Copernicus DEM, citra ESA WorldCover Sentinel-2, data terbuka IGN dan DGFiP), dan setiap unduhan menyertakan lisensinya. Batasan: ekstrak hingga 20,000 fitur dan 200 km\u00b2 untuk bangunan (lebih besar untuk layer lain), garis kontur hingga sekitar 10 x 10 km, raster relief pada grid maksimal sekitar 4 juta sel (sel 30 m untuk area kecil, lebih kasar untuk area besar), file hingga 50 MB dan daftar hingga 100 alamat. Elevasi berasal dari model permukaan yang mencakup bangunan dan pohon. Hasilnya perkiraan dan tidak untuk navigasi, survei atau batas hukum."
+            "subtitle": "Data spasial di mana pun",
+            "description": "Data spasial untuk tempat mana pun, langsung di dalam agen AI Anda. Minta bangunan, jalan, alamat, batas wilayah, tata guna lahan, perairan, transportasi umum atau titik minat di mana saja di dunia. Lihat hasilnya di peta interaktif beserta sumber dan lisensinya, lalu unduh sebagai file SIG (GeoPackage, Shapefile, GeoJSON, KML atau CSV) yang bisa dibuka di QGIS atau alat SIG lainnya. Data peta berasal dari Overture Maps dan OpenStreetMap.\n\nMedan dan citra: untuk area mana pun, dapatkan DEM, hillshade, dan peta kemiringan lereng dalam format GeoTIFF, plus elevasi, profil, dan garis kontur dari Copernicus DEM GLO-30. Dapatkan citra Sentinel-2 di mana saja (warna asli, warna semu, atau NDVI), atau foto udara IGN di Prancis.\n\nRute dan jarak: rute berkendara, jalan kaki, atau bersepeda melalui hingga 25 tempat, area yang dapat dijangkau dalam waktu tempuh tertentu, jarak garis lurus, luas, dan buffer.\n\nFile dan koordinat: buka file GeoJSON, KML, KMZ, GPX, Shapefile zip, CSV, atau WKT, periksa di peta, konversi, atau buffer, gabungkan, potong, dan sederhanakan. Konversi koordinat antara derajat desimal, DMS, UTM, MGRS, Lambert 93, dan kode EPSG, dengan CRS lokal yang direkomendasikan. Geocode satu alamat atau daftar hingga 100 alamat, lalu ekspor titiknya.\n\nPrancis: persil kadaster dan zona rencana tata ruang lokal (PLU) pada suatu alamat, dari kadaster resmi dan G\u00e9oportail de l'Urbanisme, serta tinggi, jumlah lantai, dan tahun pembangunan setiap bangunan dari IGN BD TOPO. Nama pemilik dan harga penjualan tidak pernah ditampilkan.\n\nMasuk sekali saja dengan akun TerraLab. Setiap jawaban menyebutkan sumber dan lisensinya, dan setiap unduhan menyertakan lisensinya. Batas: hingga 20.000 fitur per ekstraksi, garis kontur hingga sekitar 10 x 10 km, file hingga 50 MB, daftar hingga 100 alamat. Elevasi berasal dari model permukaan yang mencakup bangunan dan pohon. Hasilnya bersifat perkiraan dan tidak untuk navigasi, survei, atau batas hukum.\n\nDibuat oleh TerraLab, yang membangun alat AI untuk QGIS."
           },
           "tr-TR": {
-            "subtitle": "Her yer i\u00e7in CBS verisi",
-            "description": "Herhangi bir yer i\u00e7in binalar\u0131, yollar\u0131, s\u0131n\u0131rlar\u0131, arazi kullan\u0131m\u0131n\u0131, suyu, ilgi \u00e7ekici noktalar\u0131 veya y\u00fcksekli\u011fi isteyin. Bunlar\u0131 kaynaklar\u0131 ve lisanslar\u0131yla birlikte etkile\u015fimli bir haritada g\u00f6r\u00fcn, sonra QGIS, ArcGIS veya herhangi bir GIS i\u00e7in GeoPackage, Shapefile, GeoJSON, KML veya CSV olarak indirin. A\u00e7\u0131k veriler Overture Maps ve OpenStreetMap'ten gelir.\n\nY\u00fckseklik: D\u00fcnyan\u0131n herhangi bir yerindeki bir alan i\u00e7in, Copernicus DEM GLO-30'dan alana g\u00f6re k\u0131rp\u0131lm\u0131\u015f bir DEM'i (say\u0131sal y\u00fckseklik modeli) GeoTIFF olarak, bir g\u00f6lgelendirme ve bir e\u011fim haritas\u0131n\u0131, ayr\u0131ca y\u00fckseklik de\u011ferlerini, y\u00fckseklik profillerini ve e\u015f y\u00fckselti e\u011frilerini al\u0131n. Fransa'da, bir adresteki kadastro parselini ve yerel imar plan\u0131 (PLU) b\u00f6lgesini resmi kadastro ve G\u00e9oportail de l'Urbanisme a\u00e7\u0131k verilerinden bulun; mal sahibi adlar\u0131 ve sat\u0131\u015f fiyatlar\u0131 asla d\u00f6nd\u00fcr\u00fclmez.\n\nDosyalar ve koordinatlar: GeoJSON, KML, KMZ, GPX, ZIP i\u00e7indeki Shapefile, CSV veya WKT dosyas\u0131 a\u00e7\u0131n, haritada kontrol edin ve d\u00f6n\u00fc\u015ft\u00fcr\u00fcn. Koordinatlar\u0131 ondal\u0131k derece, DMS, UTM, MGRS, Lambert 93 ve EPSG kodlar\u0131 aras\u0131nda d\u00f6n\u00fc\u015ft\u00fcr\u00fcn; projeniz i\u00e7in \u00f6nerilen yerel CRS de verilir. Tek bir yeri veya en fazla 100 adreslik bir listeyi haritaya yerle\u015ftirin ve noktalar\u0131 d\u0131\u015fa aktar\u0131n.\n\nHesap veya oturum a\u00e7ma gerekmez. Her yan\u0131t kaynaklar\u0131n\u0131 ve lisanslar\u0131n\u0131 belirtir (OpenStreetMap, Overture Maps, Copernicus DEM, ESA WorldCover, Sentinel-2 g\u00f6r\u00fcnt\u00fcleri, IGN ve DGFiP a\u00e7\u0131k verileri) ve her indirme kendi lisans\u0131n\u0131 i\u00e7erir. S\u0131n\u0131rlar: binalar i\u00e7in en fazla 20,000 nesne ve 200 km\u00b2 b\u00fcy\u00fckl\u00fc\u011f\u00fcnde \u00e7\u0131kar\u0131mlar (di\u011fer katmanlar i\u00e7in daha b\u00fcy\u00fck), yakla\u015f\u0131k 10 x 10 km'ye kadar e\u015f y\u00fckselti e\u011frileri, en fazla yakla\u015f\u0131k 4 milyon h\u00fccrelik bir \u0131zgarada y\u00fckseklik rasterlar\u0131 (k\u00fc\u00e7\u00fck alanlar i\u00e7in 30 m h\u00fccreler, b\u00fcy\u00fck alanlar i\u00e7in daha iri), 50 MB'a kadar dosyalar ve 100 adrese kadar listeler. Y\u00fckseklik, binalar\u0131 ve a\u011fa\u00e7lar\u0131 i\u00e7eren bir y\u00fczey modelinden gelir. Sonu\u00e7lar yakla\u015f\u0131kt\u0131r; seyr\u00fcsefer, harita \u00f6l\u00e7\u00fcm\u00fc veya yasal s\u0131n\u0131rlar i\u00e7in kullan\u0131lamaz."
+            "subtitle": "Her yer i\u00e7in co\u011frafi veri",
+            "description": "Her yer i\u00e7in co\u011frafi veri, yapay zek\u00e2 ajan\u0131n\u0131z\u0131n i\u00e7inde. D\u00fcnyan\u0131n herhangi bir yerindeki binalar\u0131, yollar\u0131, adresleri, s\u0131n\u0131rlar\u0131, arazi kullan\u0131m\u0131n\u0131, suyu, toplu ta\u015f\u0131may\u0131 veya ilgi \u00e7ekici noktalar\u0131 isteyin. Kaynaklar\u0131 ve lisanslar\u0131yla birlikte etkile\u015fimli bir haritada g\u00f6r\u00fcn, ard\u0131ndan CBS dosyalar\u0131 (GeoPackage, Shapefile, GeoJSON, KML ya da CSV) olarak indirin; bunlar QGIS'te veya herhangi bir ba\u015fka CBS arac\u0131nda a\u00e7\u0131l\u0131r. Harita verileri Overture Maps ve OpenStreetMap'ten gelir.\n\nArazi ve g\u00f6r\u00fcnt\u00fcler: herhangi bir alan i\u00e7in Copernicus DEM GLO-30 verisinden GeoTIFF olarak DEM, g\u00f6lgelendirilmi\u015f kabartma ve e\u011fim haritas\u0131 al\u0131n; ayr\u0131ca y\u00fckseklikler, profiller ve e\u015f y\u00fckselti e\u011frileri elde edin. Her yerden bir Sentinel-2 g\u00f6r\u00fcnt\u00fcs\u00fc (ger\u00e7ek renk, yanl\u0131\u015f renk veya NDVI) ya da Fransa i\u00e7in bir IGN hava foto\u011fraf\u0131 al\u0131n.\n\nRotalar ve mesafeler: 25 yere kadar araba, y\u00fcr\u00fcy\u00fc\u015f veya bisiklet rotalar\u0131, belirli bir yolculuk s\u00fcresi i\u00e7inde ula\u015f\u0131labilen alanlar, ku\u015f u\u00e7u\u015fu mesafeler, alanlar ve tampon b\u00f6lgeler.\n\nDosyalar ve koordinatlar: bir GeoJSON, KML, KMZ, GPX, zip i\u00e7indeki Shapefile, CSV veya WKT dosyas\u0131n\u0131 a\u00e7\u0131n, haritada kontrol edin, d\u00f6n\u00fc\u015ft\u00fcr\u00fcn ya da tampon olu\u015fturun, birle\u015ftirin, k\u0131rp\u0131n veya sadele\u015ftirin. Koordinatlar\u0131 ondal\u0131k derece, DMS, UTM, MGRS, Lambert 93 ve EPSG kodlar\u0131 aras\u0131nda d\u00f6n\u00fc\u015ft\u00fcr\u00fcn; \u00f6nerilen yerel CRS de g\u00f6sterilir. Bir adresi ya da 100 adrese kadar bir listeyi co\u011frafi kodlay\u0131n ve noktalar\u0131 d\u0131\u015fa aktar\u0131n.\n\nFransa: bir adresteki kadastro parseli ve yerel imar plan\u0131 (PLU) b\u00f6lgesi, resmi kadastro ve G\u00e9oportail de l'Urbanisme kaynaklar\u0131ndan; her binan\u0131n y\u00fcksekli\u011fi, kat say\u0131s\u0131 ve yap\u0131m y\u0131l\u0131 IGN BD TOPO verisinden. Mal sahibi adlar\u0131 ve sat\u0131\u015f fiyatlar\u0131 asla d\u00f6nd\u00fcr\u00fclmez.\n\nTerraLab hesab\u0131yla bir kez giri\u015f yap\u0131n. Her yan\u0131t kaynaklar\u0131n\u0131 ve lisanslar\u0131n\u0131 belirtir, her indirme lisans\u0131n\u0131 da i\u00e7erir. S\u0131n\u0131rlar: her d\u0131\u015fa aktarmada en fazla 20.000 nesne, e\u015f y\u00fckselti e\u011frileri i\u00e7in yakla\u015f\u0131k 10 x 10 km, dosyalar i\u00e7in 50 MB, listeler i\u00e7in 100 adres. Y\u00fckseklik verisi, binalar\u0131 ve a\u011fa\u00e7lar\u0131 da i\u00e7eren bir y\u00fczey modelinden gelir. Sonu\u00e7lar yakla\u015f\u0131kt\u0131r; navigasyon, \u00f6l\u00e7me veya yasal s\u0131n\u0131rlar i\u00e7in kullan\u0131lmamal\u0131d\u0131r.\n\nQGIS i\u00e7in yapay zek\u00e2 ara\u00e7lar\u0131 geli\u015ftiren TerraLab taraf\u0131ndan yap\u0131ld\u0131."
           }
         }
       },