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plugin.json
55 KB · Nov 6, 2026 · 18:15 UTC
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "terralab",
"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",
"url": "https://terra-lab.ai"
},
"homepage": "https://terra-lab.ai/support",
"keywords": [
"geodata",
"geospatial",
"gis",
"maps",
"openstreetmap",
"overture maps",
"elevation",
"satellite imagery",
"geocoding",
"qgis",
"shapefile",
"geopackage",
"geotiff",
"coordinates",
"dem",
"contour lines",
"routing",
"isochrone",
"cadastre",
"lambert 93"
],
"extensions": {
"com.openai": {
"interface": {
"displayName": "TerraLab",
"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 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": [
"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",
"composerIcon": "./assets/logo.png",
"logo": "./assets/logo.png",
"composerIconDark": "./assets/logo-dark.png",
"logoDark": "./assets/logo-dark.png"
},
"review": {
"test_cases": {
"positive": [
{
"description": "Convert coordinates",
"prompt": "Convert 48.8584, 2.2945 to UTM and MGRS.",
"tools_triggered": "convert_coordinates",
"expected_behavior": "UTM 31U E448252 N5411955 (within 2 m) and MGRS 31U DQ 48252 11954, a point on the map, CSV and GeoJSON downloads. Recommends a local CRS (UTM 31N EPSG:32631, or Lambert 93 EPSG:2154 for France)."
},
{
"description": "Elevation profile",
"prompt": "Show the elevation profile from Chamonix to the Aiguille du Midi.",
"tools_triggered": "get_elevation",
"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 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."
},
{
"description": "Open data extract",
"prompt": "Download the buildings within 300 m of the Louvre in Paris as a Shapefile.",
"tools_triggered": "extract_open_data",
"expected_behavior": "A building count, sample attributes, building footprints on the map, a Shapefile zip with its licence file (ODbL, Overture Maps and OpenStreetMap credits)."
},
{
"description": "French parcel and zoning",
"prompt": "What is the cadastral parcel and PLU zone at 12 rue de la Paix, Annecy?",
"tools_triggered": "french_parcel",
"expected_behavior": "Parcel 74010000BV0028 (Annecy, section BV, number 28), about 192 m\u00b2, PLU zone Uac1 (type U), the parcel on the map, and the note that the cadastre has no legal boundary value."
},
{
"description": "Addresses on a map",
"prompt": "Put these addresses on a map and give me their coordinates as a CSV: 10 Downing Street, London; Eiffel Tower, Paris; 350 5th Ave, New York; Pariser Platz, Berlin.",
"tools_triggered": "find_places",
"expected_behavior": "Four matched points on an interactive map with their matched labels and coordinates, and a CSV download with latitude and longitude added that opens in QGIS."
}
],
"negative": [
{
"description": "Parcel outside France",
"prompt": "What is the French cadastral parcel at the Brandenburg Gate in Berlin?",
"tools_triggered": "",
"expected_behavior": "ChatGPT explains that the French cadastre covers France only, without inventing a parcel; if it calls french_parcel, the tool answers outside_france."
},
{
"description": "Weather, no tool",
"prompt": "What will the weather be like in Annecy this weekend?",
"tools_triggered": "",
"expected_behavior": "ChatGPT answers without calling any TerraLab tool: TerraLab has no weather data."
},
{
"description": "General knowledge, no tool",
"prompt": "Tell me the history of the Eiffel Tower.",
"tools_triggered": "",
"expected_behavior": "ChatGPT answers from its own knowledge without calling any TerraLab tool."
}
]
},
"demo_recording_url": "https://sttlmcpfiles.blob.core.windows.net/review/terralab-chatgpt-demo.mp4?se=2027-10-01T20%3A53Z&sp=r&spr=https&sv=2026-04-06&sr=b&sig=QQOa0i%2FRfIQkDBAEXd29ioeMqUdIc%2F05baIZPM9vcfQ%3D",
"commerce": false,
"commerce_description": "TerraLab does not sell products or process payments in ChatGPT."
},
"publication": {
"countries": [],
"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 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 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": "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": "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": "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": "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": "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": "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": "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 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\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 \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\u7684\u5730\u56fe\u6570\u636e",
"description": "\u4efb\u4f55\u5730\u65b9\u7684\u5730\u56fe\u6570\u636e\uff0c\u5c3d\u5728\u4f60\u7684 AI \u667a\u80fd\u4f53\u4e2d\u3002\u53ef\u67e5\u8be2\u5168\u7403\u4efb\u4f55\u5730\u70b9\u7684\u5efa\u7b51\u3001\u9053\u8def\u3001\u5730\u5740\u3001\u8fb9\u754c\u3001\u571f\u5730\u5229\u7528\u3001\u6c34\u7cfb\u3001\u516c\u5171\u4ea4\u901a\u6216\u5174\u8da3\u70b9\u3002\u5728\u4ea4\u4e92\u5f0f\u5730\u56fe\u4e0a\u67e5\u770b\u8fd9\u4e9b\u6570\u636e\u53ca\u5176\u6765\u6e90\u548c\u8bb8\u53ef\uff0c\u7136\u540e\u4e0b\u8f7d\u4e3a GIS \u6587\u4ef6\uff08GeoPackage\u3001Shapefile\u3001GeoJSON\u3001KML \u6216 CSV\uff09\uff0c\u53ef\u5728 QGIS \u6216\u4efb\u4f55\u5176\u4ed6 GIS \u5de5\u5177\u4e2d\u6253\u5f00\u3002\u5730\u56fe\u6570\u636e\u6765\u81ea Overture Maps \u548c OpenStreetMap\u3002\n\n\u5730\u5f62\u4e0e\u5f71\u50cf\uff1a\u4efb\u610f\u533a\u57df\u90fd\u53ef\u83b7\u53d6 GeoTIFF \u683c\u5f0f\u7684 DEM\u3001\u5c71\u4f53\u9634\u5f71\u548c\u5761\u5ea6\u56fe\uff0c\u8fd8\u6709\u9ad8\u7a0b\u3001\u5256\u9762\u548c\u7b49\u9ad8\u7ebf\uff0c\u6570\u636e\u6765\u81ea Copernicus DEM GLO-30\u3002\u53ef\u83b7\u53d6\u5168\u7403\u4efb\u4f55\u5730\u65b9\u7684 Sentinel-2 \u5f71\u50cf\uff08\u771f\u5f69\u8272\u3001\u5047\u5f69\u8272\u6216 NDVI\uff09\uff0c\u5728\u6cd5\u56fd\u8fd8\u53ef\u83b7\u53d6 IGN \u822a\u7a7a\u5f71\u50cf\u3002\n\n\u8def\u7ebf\u4e0e\u8ddd\u79bb\uff1a\u6700\u591a\u7ecf\u8fc7 25 \u4e2a\u5730\u70b9\u7684\u9a7e\u8f66\u3001\u6b65\u884c\u6216\u9a91\u884c\u8def\u7ebf\uff0c\u6307\u5b9a\u51fa\u884c\u65f6\u95f4\u5185\u53ef\u5230\u8fbe\u7684\u533a\u57df\uff0c\u4ee5\u53ca\u76f4\u7ebf\u8ddd\u79bb\u3001\u9762\u79ef\u548c\u7f13\u51b2\u533a\u3002\n\n\u6587\u4ef6\u4e0e\u5750\u6807\uff1a\u6253\u5f00 GeoJSON\u3001KML\u3001KMZ\u3001GPX\u3001\u538b\u7f29\u7684 Shapefile\u3001CSV \u6216 WKT \u6587\u4ef6\uff0c\u5728\u5730\u56fe\u4e0a\u68c0\u67e5\uff0c\u8f6c\u6362\u683c\u5f0f\uff0c\u6216\u8fdb\u884c\u7f13\u51b2\u3001\u5408\u5e76\u3001\u88c1\u526a\u3001\u7b80\u5316\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\uff0c\u5e76\u7ed9\u51fa\u63a8\u8350\u7684\u672c\u5730 CRS\u3002\u53ef\u5bf9\u5355\u4e2a\u5730\u5740\u6216\u6700\u591a 100 \u4e2a\u5730\u5740\u7684\u5217\u8868\u8fdb\u884c\u5730\u7406\u7f16\u7801\uff0c\u5e76\u5bfc\u51fa\u70b9\u4f4d\u3002\n\n\u6cd5\u56fd\uff1a\u53ef\u67e5\u8be2\u67d0\u4e2a\u5730\u5740\u7684\u5730\u7c4d\u5b97\u5730\u548c\u5730\u65b9\u57ce\u5e02\u89c4\u5212\uff08PLU\uff09\u5206\u533a\uff0c\u6570\u636e\u6765\u81ea\u5b98\u65b9\u5730\u7c4d\u548c G\u00e9oportail de l'Urbanisme\uff0c\u8fd8\u53ef\u4ece IGN BD TOPO \u83b7\u53d6\u6bcf\u680b\u5efa\u7b51\u7684\u9ad8\u5ea6\u3001\u697c\u5c42\u6570\u548c\u5efa\u9020\u5e74\u4efd\u3002\u4e0d\u4f1a\u8fd4\u56de\u4e1a\u4e3b\u59d3\u540d\u548c\u6210\u4ea4\u4ef7\u683c\u3002\n\n\u4f7f\u7528 TerraLab \u8d26\u53f7\u767b\u5f55\u4e00\u6b21\u5373\u53ef\u3002\u6bcf\u4e2a\u56de\u7b54\u90fd\u4f1a\u6ce8\u660e\u6570\u636e\u6765\u6e90\u548c\u8bb8\u53ef\uff0c\u6bcf\u6b21\u4e0b\u8f7d\u4e5f\u90fd\u9644\u5e26\u8bb8\u53ef\u3002\u9650\u5236\uff1a\u6bcf\u6b21\u63d0\u53d6\u6700\u591a 20,000 \u4e2a\u8981\u7d20\uff0c\u7b49\u9ad8\u7ebf\u8303\u56f4\u6700\u5927\u7ea6 10 x 10 \u516c\u91cc\uff0c\u6587\u4ef6\u6700\u5927 50 MB\uff0c\u5730\u5740\u5217\u8868\u6700\u591a 100 \u4e2a\u3002\u9ad8\u7a0b\u6765\u81ea\u5305\u542b\u5efa\u7b51\u7269\u548c\u6811\u6728\u7684\u8868\u9762\u6a21\u578b\u3002\u7ed3\u679c\u4e3a\u8fd1\u4f3c\u503c\uff0c\u4e0d\u9002\u7528\u4e8e\u5bfc\u822a\u3001\u6d4b\u91cf\u6216\u6cd5\u5b9a\u8fb9\u754c\u3002\n\n\u7531 TerraLab \u5236\u4f5c\uff0cTerraLab \u4e13\u6ce8\u4e8e\u5f00\u53d1\u9762\u5411 QGIS \u7684 AI \u5de5\u5177\u3002"
},
"zh-TW": {
"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 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 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."
}
}
},
"apps": "./.app.json"
}
}
}
SHA-256: 84546df83f56a2bd49e19b48a39afa41a5f09cf7c179c5b447900afa61ecc39e