{"name": "Sen Climate", "package_name": "sen_climate", "description": "Automatic calculation of spectral and climate indices (NDVI, NDWI, NDBI, LST, brightness temperature, VHI, land cover, etc.) by commune/region, by year and optionally by month in Senegal, with an exportable interpretation report.", "about": "This plugin automatically downloads the required Landsat bands (Esri Landsat/MS service, no file needed) for a chosen commune or region of Senegal, a chosen year (2013-present) and optionally a specific month, computes 19 spectral indices (NDVI, EVI, GNDVI, SAVI, DVI, NDWI, MNDWI, LSWI, NDBI, UI, CVI, TVI, RVI, DPSI, VARI, ARVI, BSI, NDSI) as well as brightness temperature, land surface temperature (LST), the vegetation health index (VHI, optional) and a simplified rule-based land cover classification (water/built-up/bare soil/vegetation), with automatic color symbology and an exportable text interpretation report. The thermal algorithms are adapted from the QGIS plugin RS&GIS (NITK_RS-GIS_17) by Prathamesh Barane and G S Dwarakish, GPL v2-or-later license.", "homepage": "https://github.com/Ghostline1313/sen_climate", "repository": "https://github.com/Ghostline1313/sen_climate", "tracker": "https://github.com/Ghostline1313/sen_climate/issues", "author": "ADIOUMA FALL Geo", "tags": ["landsat", "remote sensing", "ndvi", "land surface temperature", "lst", "ndwi", "climate", "senegal", "vhi"], "downloads": 208, "latest_version": "1.4.1", "versions": [{"version": "1.4.1", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "3.99.0", "downloads": 136, "uploaded_by": "ADIOUMAFALLGEO2026", "upload_datetime": "2026-07-29T14:26:09.398319"}, {"version": "1.3.0", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "3.99.0", "downloads": 72, "uploaded_by": "ADIOUMAFALLGEO2026", "upload_datetime": "2026-07-28T11:30:13.233645"}]}