{"slug": "esri-lulc", "name": "Esri 10 m Annual Land Use Land Cover", "tagline": "Annual 10 m land use and land cover from Sentinel-2", "source": "Impact Observatory / Esri", "category": {"slug": "land-use", "name": "Land Use", "icon": "leaf", "tone": "green"}, "meta": ["10 m", "2017–present", "Global"], "thumb": "/static/catalog/thumbs/esri-lulc.32f6e7071b99.jpg", "bbox": [-180.0, -60.0, 180.0, 84.0], "global": true, "access": "download", "url": "/datasets/esri-lulc/", "subtitle": "Impact Observatory, Esri and Microsoft", "summary": "A nine-class annual map produced with a deep-learning model on Sentinel-2 imagery. Available as UTM-zone downloads from the Living Atlas and on Microsoft's Planetary Computer.", "categories": [{"slug": "land-use", "name": "Land Use", "icon": "leaf", "tone": "green"}], "sources": [{"slug": "impact-observatory", "name": "Impact Observatory and Esri", "label": "Impact Observatory / Esri", "url": "https://www.impactobservatory.com/", "page": "/sources/impact-observatory/"}], "facts": [["Source", "Impact Observatory / Esri"], ["Resolution", "10 m"], ["Time span", "2017–present"], ["Temporal", "Annual"], ["Access type", "Direct download (external)"], ["Formats", "GeoTIFF"], ["Coverage", "Global land"]], "access_note": "", "coverage": "Global land", "license": {"name": "CC BY 4.0", "url": "https://creativecommons.org/licenses/by/4.0/"}, "citation": "Karra, K., et al. (2021). Global land use/land cover with Sentinel-2 and deep learning. IGARSS 2021. https://doi.org/10.1109/IGARSS47720.2021.9553499", "doi": "", "landing_url": "https://livingatlas.arcgis.com/landcoverexplorer/", "provider_url": "https://livingatlas.arcgis.com/landcoverexplorer/", "methods": [{"type": "link", "label": "Download by UTM zone and year (Esri Living Atlas)"}], "preview": null, "thumb_credit": "MODIS IGBP land cover (NASA GIBS)", "selection": [-75.0, -20.0, -50.0, 5.0], "selection_text": "-75,-20,-50,5", "snippets": {"curl": "curl \"https://hydrological.org/api/v1/datasets/esri-lulc/links?bbox=-75,-20,-50,5\" \\\n  -H \"Accept: application/json\"", "python": "import requests\n\nr = requests.get(\"https://hydrological.org/api/v1/datasets/esri-lulc/links\",\n                 params={\"bbox\": \"-75,-20,-50,5\"})\nfor group in r.json()[\"groups\"]:\n    for link in group[\"links\"]:\n        print(link[\"url\"])", "javascript": "const res = await fetch(\"https://hydrological.org/api/v1/datasets/esri-lulc/links?bbox=-75,-20,-50,5\");\nconst { groups } = await res.json();\nfor (const g of groups) g.links.forEach(l => console.log(l.url));"}, "api": {"links": "/api/v1/datasets/esri-lulc/links?bbox=-75,-20,-50,5", "manifest": "/api/v1/datasets/esri-lulc/manifest?bbox=-75,-20,-50,5"}}