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plugin.json
50.3 KB · Nov 2, 2026 · 12:58 UTC
{
"$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.",
"author": {
"name": "TerraLab",
"email": "yvann.barbot@terra-lab.ai",
"url": "https://terra-lab.ai"
},
"homepage": "https://terra-lab.ai/support",
"keywords": [
"geospatial",
"gis",
"geodata",
"maps",
"dem",
"elevation",
"hillshade",
"contour lines",
"openstreetmap",
"overture maps",
"shapefile",
"geopackage",
"coordinates",
"cadastre",
"lambert 93",
"qgis"
],
"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.",
"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"
],
"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"
],
"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 for QGIS",
"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": "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.",
"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."
},
"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."
},
"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."
},
"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."
},
"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."
},
"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."
},
"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."
},
"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."
},
"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."
},
"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."
},
"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"
},
"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."
},
"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"
},
"zh-TW": {
"subtitle": "\u4efb\u4f55\u5730\u9ede\u7684 GIS \u8cc7\u6599",
"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"
},
"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."
},
"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."
}
}
},
"apps": "./.app.json"
}
}
}
SHA-256: e18bb41f46a5af5793fa607695f6146d244cf8a91b4d0eb6b5ff59ae00858183