{"name": "Observatorio Forestal UTN", "package_name": "Observatorio_Forestal_UTN", "description": "Institutional QGIS plugin of the UTN Forest Observatory (Universidad T\u00e9cnica del Norte - Ecuador) for active wildfire monitoring, historical fire queries, satellite imagery (Sentinel-2, Landsat), global digital elevation models (Copernicus DEM GLO-30), Google Earth-style interactive Elevation Profile, high-resolution base maps, WorldClim 2.1 global climatology, ESA WorldCover 10m V2, SoilGrids250m 2.0 (ISRIC), Meteograma (Open-Meteo multi-panel weather & fire risk forecasting and ERA5 reanalysis), Coordenadas EC tools, and AI geospatial assistant (MCP).", "about": "Specialized geospatial tools from the UTN Forest Observatory (Universidad T\u00e9cnica del Norte - Ecuador) for active wildfire monitoring, historical fire analysis, satellite imagery, global digital elevation models, Google Earth-style Elevation Profile, WorldClim 2.1 global climatology, ESA WorldCover 10m V2, SoilGrids250m 2.0 (ISRIC), Meteograma (Open-Meteo NWP & ERA5 reanalysis), cartographic base mapping, Coordenadas EC tools, and AI-assisted GIS workflows.\n\n**Problem Solved:** Provides forestry researchers, emergency responders, and GIS specialists with immediate access to near-real-time wildfire alerts, historical multi-sensor fire archives, global 30m digital elevation models (Copernicus DEM GLO-30), interactive Google Earth-style topographic elevation profiling with real-time map marker synchronization, multi-panel meteorological forecasting and fire danger index charts (HDWI, HCFM, PBL, wind vectors via Open-Meteo ECMWF/GFS/ERA5), WorldClim 2.1 bioclimatic variables (BIO01-BIO19) and monthly climatology, ESA WorldCover 10m V2 land cover, SoilGrids250m 2.0 digital soil mapping (carbon, pH, nitrogen, textures, density), Cloud-Optimized GeoTIFF (COG) satellite data, Coordenadas EC tools for official Ecuador coordinate reference systems (EPSG:4326 and EPSG:32717), and AI assistance directly inside QGIS without manual downloading or complex API setup.\n\n**Data Sources and Services:**\n- **Active and Historical Wildfires:** NASA FIRMS (MODIS and VIIRS) near-real-time thermal anomaly hotspots and custom multi-temporal historical queries via NASA FIRMS API with 8-step temporal symbology, fire radiative power (FRP) classification, automatic project reprojection to EPSG:4326, Ecuador extent auto-framing, and 5-minute background auto-refresh.\n- **Meteograma y Pron\u00f3stico (Open-Meteo):** Multi-panel interactive weather & fire risk forecasting dialog (HDWI, HCFM dead fuel moisture, dry hours, PBL boundary layer height, wind barbs, rain & probability) supporting ECMWF IFS 0.25\u00b0, NOAA GFS, DWD ICON, and ERA5 historical reanalysis with map picking, FIRMS hotspot capture, high-res PNG (300 DPI) and CSV export.\n- **Perfil de Elevaci\u00f3n (Google Earth Style):** Dynamic, interactive 2D topographic elevation profile docked at bottom with real-time map synchronization. Samples Copernicus DEM GLO-30 or any DEM raster; supports interactive canvas drawing or existing line layers; displays full metrics (Min/Avg/Max elevation, total distance, +/- elevation gain/loss, +/- slopes); exports PNG and CSV.\n- **Coordenadas EC (Official Ecuador CRS):** Conversion of Excel and CSV tables to point layers with dual coordinates, point attribute table coordinate updates (Long/Lat EPSG:4326 with 6 decimals and East/North EPSG:32717 with 2 decimals), and polygon/line vertex extraction with distances, area, and perimeter calculations.\n- **Satellite Imagery and DEM:** Direct search and streaming of Sentinel-2 L2A (10m), Landsat Collection 2 Level-2 (30m), and Copernicus DEM GLO-30 (30m) via Microsoft Planetary Computer STAC API with automated AOI selection (Canvas, 24 Ecuador Provinces), multi-band RGB compositions, and spectral indices (NDVI, NBR, NBR2, NDWI, NDMI, EVI).\n- **SoilGrids250m 2.0 (ISRIC World Soil Information):** Subcategor\u00eda Suelo para descarga, recorte y visualizaci\u00f3n cient\u00edfica de 10 propiedades edafol\u00f3gicas (SOC, OCS stock 0-30cm, pH en agua, nitr\u00f3geno total, arcilla, limo, arena, densidad aparente, CEC, fragmentos gruesos) a 6 profundidades est\u00e1ndar (0-5cm a 100-200cm) con SRC predeterminado EPSG:4326.\n- **WorldClim 2.1 Global Climatology:** Direct download and automated AOI clipping for 19 Bioclimatic variables (BIO01 to BIO19) and monthly climatological series (tmin, tmax, tavg, prec, srad, wind, vapr, elev) at 30 arc-seconds (~1 km) resolution.\n- **Base Maps:** High-resolution XYZ satellite and topographic tiles (Google Hybrid, Google Road, Bing Satellite, OpenStreetMap Standard, and OpenTopoMap) automatically placed at the bottom of the layer stack.\n- **AI Assistant (MCP):** Built-in Model Context Protocol socket server (port 9876, auto-start) connecting QGIS with Google Antigravity for autonomous GIS analysis and geoprocessing.\n\n**Requirements:** Active internet connection for streaming remote STAC, WFS, and XYZ tile services. Zero external Python dependencies required (100% native PyQGIS and standard Python library).\n\n**License:** GNU General Public License v3.0 (GPLv3).\n\nOfficial web platform: https://observatorioforestal.utn.edu.ec/", "homepage": "https://observatorioforestal.utn.edu.ec/", "repository": "https://github.com/observatorioforestalutn-beep/Observatorio-Forestal-UTN", "tracker": "https://github.com/observatorioforestalutn-beep/Observatorio-Forestal-UTN/issues", "author": "PhD. Oscar Hernando Eraso Ter\u00e1n (Research Professor \u2014 Universidad T\u00e9cnica del Norte, Ecuador)", "tags": ["remote sensing", "fire", "satellite", "wildfires", "forest management", "imbabura", "firms", "forest observatory utn", "ecuador", "sentinel-2", "landsat", "stac", "planetary computer", "ndvi", "nbr", "ai", "mcp", "antigravity", "coordenadas ec", "epsg:4326", "epsg:32717", "utm 17s"], "downloads": 279, "latest_version": "1.0.3", "versions": [{"version": "1.0.3", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "4.99.0", "downloads": 95, "uploaded_by": "observatorioforestalutn", "upload_datetime": "2026-09-02T12:23:37.263734"}, {"version": "1.0.2", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "4.99.0", "downloads": 80, "uploaded_by": "observatorioforestalutn", "upload_datetime": "2026-08-28T12:38:34.287996"}, {"version": "1.0.1", "experimental": false, "qgis_min": "3.10.0", "qgis_max": "4.99.0", "downloads": 104, "uploaded_by": "observatorioforestalutn", "upload_datetime": "2026-08-19T16:46:57.017688"}]}