[general]
name=Observatorio Forestal UTN
qgisMinimumVersion=3.0
qgisMaximumVersion=4.99
description=Institutional QGIS plugin of the UTN Forest Observatory (Universidad Técnica del Norte - Ecuador) for active wildfire monitoring, historical fire queries, satellite imagery (Sentinel-2, Landsat), global digital elevation models (Copernicus DEM GLO-30), high-resolution base maps, WorldClim 2.1 global climatology and bioclimatic variables, and AI geospatial assistant (MCP).
about=Specialized geospatial tools from the UTN Forest Observatory (Universidad Técnica del Norte - Ecuador) for active wildfire monitoring, historical fire analysis, satellite imagery, global digital elevation models, WorldClim 2.1 global climatology, cartographic base mapping, and AI-assisted GIS workflows.
    
    **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), WorldClim 2.1 bioclimatic variables (BIO01-BIO19) and monthly climatology, Cloud-Optimized GeoTIFF (COG) satellite data, and AI assistance directly inside QGIS without manual downloading or complex API setup.
    
    **Data Sources and Services:**
    - **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.
    - **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, South American countries), multi-band RGB compositions, and spectral indices (NDVI, NBR, NBR2, NDWI, NDMI, EVI).
    - **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.
    - **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.
    - **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.
    
    **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).
    
    **License:** GNU General Public License v3.0 (GPLv3).
    
    Official web platform: https://observatorioforestal.utn.edu.ec/
version=1.0.3
changelog=Version 1.0.3:
    - Added interactive background worker (QThread) with instant 'Cancelar' button and excessive AOI protection in NASA FIRMS Historical dialog.
    - Added WorldClim 2.1 (Bioclima y Climatología Global) with automated tile download and AOI clipping for 19 Bioclimatic variables and monthly series.
    - Standardized continuous Spectral color ramp [-1.0 to 1.0] for all spectral indices (NDVI, NBR, NBR2, NDWI, NDMI, EVI) with vertical continuous gradient legend.
    - Implemented strict layer hierarchy reordering: Points > Lines > Polygons > Thematic Rasters > Cartographic Base Maps.
    - Standardized academic naming for RGB compositions with 'PseudoColor' prefix and replaced 'Penetración Atmosférica' with 'PseudoColor Infrarrojo SWIR'.
    - Preserved active canvas extent and zoom level during Sentinel-2 and Landsat raster loading.
    - Full official validation passed with 0 Bandit security issues and 0 Flake8 style/undefined errors.
    - Compatible with QGIS 3.0 to 4.99 on both Qt5 and Qt6 architectures.
author=PhD. Oscar Hernando Eraso Terán (Research Professor — Universidad Técnica del Norte, Ecuador)
email=observatorioforestalutn@gmail.com, oheraso@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
category=Raster, Vector, Web, Database
tags=forest observatory utn, sentinel-2, landsat, stac, planetary computer, ndvi, nbr, remote sensing, ai, mcp, antigravity, wildfires, fire, firms, satellite, ecuador, imbabura, forest management
icon=icons/icon.png
experimental=False
deprecated=False
