{"name": "Open Geodata Browser", "package_name": "open_geodata_browser", "description": "Browse and download satellite imagery from STAC-compliant catalogs (Planetary Computer, AWS Earth Search, custom endpoints). Part of MAS Raster Processing tools.", "about": "Open Geodata Browser is a powerful QGIS plugin for accessing satellite imagery from leading STAC data providers. Seamlessly search, filter, and load Cloud-Optimized GeoTIFFs and other geospatial data directly into QGIS with advanced spatial-temporal filtering and batch download capabilities.\n\nGo to the \"Home Page\" for more details and the Guide.\n\nINSTALL DEPENDENCY:\n======================\nPlugins > Python Console\nCopy & Paste:\nfrom pip._internal.main import main as pip_main\npip_main(['install', '--user', '--upgrade', 'open-geodata-api'])\nRestart QGIS\n\nMethod: Terminal or Commandline tool (Other OS)\n==================================================\nOpen the terminal or Commandline\nGo to the QGIS Binary Path (ls to find Python or PIP executable)\nRun pip install open-geodata-api\n\nQUICK START:\n============\n1. Open: Raster > Open Geodata Browser\n2. Select STAC provider\n3. Search Items (Filters: Date, Cloud Cover)\n4. Interactive Results:\n- Sort columns by clicking headers\n- Double-click item to Zoom\n- Multi-select (Ctrl/Shift) to view multiple footprints\n- Right-click for \"Hide/Show Footprint\"\n5. Download or Load Assets directly\n\nFEATURES:\n=========\nMulti-provider STAC access | Advanced spatial-temporal search | Batch download | Cloud-Optimized GeoTIFFs | Auto-load to project | Interactive map | Custom STAC endpoints\n\nREQUIREMENTS:\n=============\nQGIS 3.28+ | Python 3.9+ | Internet | 20MB disk | 2GB RAM", "homepage": "https://github.com/Mirjan-Ali-Sha/open-geodata-browser/wiki", "repository": "https://github.com/Mirjan-Ali-Sha/open-geodata-browser", "tracker": "https://github.com/Mirjan-Ali-Sha/open-geodata-browser/issues", "author": "Mirjan Ali Sha", "tags": ["raster", "geospatial", "remote-sensing", "satellite", "imagery", "stac", "cog", "earthsearch", "planetary-computer", "data-discovery"], "downloads": 3951, "latest_version": "1.2.2", "versions": [{"version": "1.2.2", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "3.99.0", "downloads": 1654, "uploaded_by": "mirjanalisha", "upload_datetime": "2026-01-31T13:21:25.260171"}, {"version": "1.2.1", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "3.99.0", "downloads": 634, "uploaded_by": "mirjanalisha", "upload_datetime": "2025-12-27T02:30:42.190762"}, {"version": "1.2.0", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "3.99.0", "downloads": 439, "uploaded_by": "mirjanalisha", "upload_datetime": "2025-12-06T03:54:10.539980"}, {"version": "1.1.5", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "3.99.0", "downloads": 742, "uploaded_by": "mirjanalisha", "upload_datetime": "2025-11-02T16:11:31.329240"}, {"version": "1.1.4", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "3.99.0", "downloads": 230, "uploaded_by": "mirjanalisha", "upload_datetime": "2025-11-02T13:38:57.377042"}, {"version": "1.1.2", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "3.99.0", "downloads": 68, "uploaded_by": "mirjanalisha", "upload_datetime": "2025-11-02T11:57:21.094934"}, {"version": "1.0.0", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 225, "uploaded_by": "mirjanalisha", "upload_datetime": "2025-10-31T19:25:27.843880"}]}