[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, 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, 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), 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).
    - **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=1.0.2
changelog=Version 1.0.2:
    - Added Copernicus DEM GLO-30 (30m) subcategory under Satellite Imagery with automated tile download, mosaic creation, and hypsometric elevation styling.
    - Added standardized Spanish AOI selector across all modules (Canvas, 24 Ecuador Provinces, South American countries).
    - Added dedicated QToolBar with category icons and direct 1-click dropdown access buttons.
    - Added 'FIRMS Histórico (Consulta por Período)' for multi-sensor historical fire analysis.
    - Unified all 4 NASA FIRMS active sensors (MODIS + VIIRS) into a single consolidated memory layer with 5-min auto-refresh.
    - Added 'Imágenes Satelitales' parent category integrating Base Maps, Sentinel-2 L2A, and Landsat Collection 2 Level-2.
    - Integrated Microsoft Planetary Computer STAC API for live searching and streaming Cloud-Optimized GeoTIFFs (COGs).
    - Added 'IA UTN (MCP)' socket server on port 9876 with 118 native MCP tools for Google Antigravity.
    - Resolved official QGIS Plugin Repository validation and security scanner checks (0 Bandit security issues, 0 Flake8 issues).
    - Standardized alphabetical ordering for all menu categories and subcategories.
    - Enhanced dark/light theme support and text contrast across all dialogs.
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
