<?xml version="1.0" encoding="UTF-8"?>
<plugins>
    <pyqgis_plugin name="Earth Engine Data Catalogs" version="0.9.0">
        <description>Browse, search, and load Google Earth Engine data catalogs directly in QGIS.</description>
        <about>A comprehensive plugin for exploring and loading Google Earth Engine datasets in QGIS.

Features:
- Browse the complete GEE Data Catalog with categorized datasets
- Search datasets by keywords, tags, and providers
- Filter data by bounding box, date range, and cloud cover
- Preview dataset metadata and visualization parameters
- Load EE Image, ImageCollection, and FeatureCollection directly to QGIS
- Integration with qgis-geemap-plugin for advanced functionality
- Customizable visualization parameters
- Support for temporal filtering on ImageCollections
- Export capabilities for loaded datasets

Use this plugin to efficiently discover and visualize Earth Engine data in QGIS.</about>
        <version>0.9.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-gee-data-catalogs-plugin</homepage>
        <file_name>gee_data_catalogs.zip</file_name>
        <icon>icons/icon.svg</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/gee_data_catalogs.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-gee-data-catalogs-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-gee-data-catalogs-plugin</repository>
        <tags>earth engine, google, gee, remote sensing, satellite, imagery, geospatial, catalog, data</tags>
        <category>Raster</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="Geemap" version="0.3.0">
        <description>A QGIS plugin that integrates geemap for working with Google Earth Engine data.</description>
        <about>QGIS Geemap brings the power of geemap and Google Earth Engine to QGIS.

Features:
- Add Earth Engine Image and ImageCollection layers to QGIS
- Add Earth Engine FeatureCollection layers as vector data
- Use familiar geemap Map API within QGIS
- Interactive map controls for center, zoom, and bounds
- Full compatibility with existing geemap code

This plugin allows you to use code like:

import ee
import geemap

m = geemap.Map(center=(40, -100), zoom=4)
dem = ee.Image("USGS/SRTMGL1_003")
m.add_layer(dem, {"min": 0, "max": 4000, "palette": ["green", "white"]}, "DEM")</about>
        <version>0.3.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-geemap-plugin</homepage>
        <file_name>qgis_geemap.zip</file_name>
        <icon>icons/logo.png</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/qgis_geemap.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-geemap-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-geemap-plugin</repository>
        <tags>earth engine, google, geemap, remote sensing, satellite, gis, gee</tags>
        <category>Raster</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="GeoAI" version="1.0.4">
        <description>GeoAI plugin for QGIS providing AI-powered geospatial analysis including Moondream vision-language model, semantic segmentation, instance segmentation (Mask R-CNN), SamGeo (SAM1/SAM2/SAM3), DeepForest object detection, and water segmentation (OmniWaterMask).</description>
        <about>This plugin provides AI-powered geospatial analysis tools:

Moondream Vision-Language Model:
- Caption: Generate descriptions of geospatial imagery
- Query: Ask questions about images using natural language
- Detect: Detect and locate objects with bounding boxes
- Point: Locate specific objects with point markers

Semantic Segmentation:
- Train custom segmentation models (U-Net, DeepLabV3+, FPN, etc.)
- Run inference on raster imagery
- Export results as vector or raster data

Instance Segmentation (Mask R-CNN):
- Train Mask R-CNN models for instance-level object detection and segmentation
- Run inference on raster imagery with vectorized output

SamGeo Segmentation (SAM1, SAM2, SAM3):
- Segment objects using text prompts (e.g., "tree", "building", "road")
- Segment using point prompts (foreground/background) or box prompts drawn on the map
- Process multiple points interactively or from vector files/layers
- Save results as raster (GeoTIFF) or vector (GeoPackage, Shapefile) with optional regularization

DeepForest Object Detection:
- Detect tree crowns, birds, livestock, nests, and dead trees using pretrained models
- Run predictions on single images or large tiles with patch-based inference

Water Segmentation (OmniWaterMask):
- Automated water body detection from satellite and aerial imagery
- Output as raster or vector with optional OSM data integration

Built-in Dependency Installer:
- One-click installation of all AI dependencies
- Automatic GPU detection (NVIDIA CUDA, Apple MPS)

Requires the geoai-py Python package and PyTorch. CUDA or MPS support recommended for optimal performance.</about>
        <version>1.0.4</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://opengeoai.org</homepage>
        <file_name>geoai.zip</file_name>
        <icon>icons/icon.png</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/geoai.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/geoai/issues</tracker>
        <repository>https://github.com/opengeos/geoai</repository>
        <tags>ai, deep learning, segmentation, object detection, moondream, vision language model, machine learning, remote sensing, geospatial, instance segmentation, water segmentation, deepforest, samgeo, mask rcnn</tags>
        <category>Analysis</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="HyperCoast" version="0.5.0">
        <description>Visualize and analyze hyperspectral data including EMIT, PACE, DESIS, NEON, AVIRIS, PRISMA, EnMAP, Tanager, and Wyvern datasets</description>
        <about>HyperCoast QGIS Plugin provides powerful tools for hyperspectral data visualization and analysis. Features include:
- Load and display various hyperspectral formats (EMIT, PACE, DESIS, NEON, AVIRIS, PRISMA, EnMAP, Tanager, Wyvern)
- Interactive band combination visualization
- Spectral signature inspection with click-to-plot functionality
- Export spectral profiles to CSV
- PCA analysis and visualization
- RGB composite creation with customizable wavelength selection</about>
        <version>0.5.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://hypercoast.org</homepage>
        <file_name>hypercoast.zip</file_name>
        <icon>icons/hypercoast.png</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/hypercoast.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/HyperCoast/issues</tracker>
        <repository>https://github.com/opengeos/HyperCoast</repository>
        <tags>hyperspectral,remote sensing,EMIT,PACE,spectral,analysis,visualization</tags>
        <category>Raster</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="Leafmap" version="0.4.0">
        <description>A QGIS plugin for interactive layer comparison with transparency control and swipe tools.</description>
        <about>Leafmap is a QGIS plugin that provides powerful tools for layer visualization and comparison.

Features:
- Interactive layer transparency control with real-time preview
- Swipe tool for comparing two layers side-by-side (similar to ipyleaflet split control)
- Dockable panels that can be positioned anywhere in the QGIS interface
- Plugin update checker that fetches the latest version from GitHub
- Settings panel for configuring plugin options

This plugin is inspired by the Python leafmap package and brings similar
layer comparison capabilities to the QGIS desktop environment.</about>
        <version>0.4.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-leafmap-plugin</homepage>
        <file_name>qgis_leafmap.zip</file_name>
        <icon>icons/logo.png</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/qgis_leafmap.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-leafmap-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-leafmap-plugin</repository>
        <tags>leafmap, transparency, swipe, compare, layers, visualization, split, map</tags>
        <category>Raster</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="Maxar Open Data" version="0.2.0">
        <description>Browse and visualize Maxar Open Data satellite imagery for disaster events directly in QGIS.</description>
        <about>This plugin provides access to the Maxar Open Data Program, which offers pre- and post-event high-resolution satellite imagery for emergency planning, risk assessment, monitoring of staging areas and emergency response, damage assessment, and recovery.

Features:
- Browse available disaster events with satellite imagery
- View and filter imagery footprints on the map
- Load and visualize Cloud Optimized GeoTIFFs (COG) directly
- Filter imagery by date, cloud cover, platform, and more
- Support for visual (RGB), multispectral, and panchromatic imagery
- Download imagery for selected footprints
- Automatic updates from GitHub

Data Source: https://www.maxar.com/open-data
GitHub Catalog: https://github.com/opengeos/maxar-open-data</about>
        <version>0.2.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-maxar-plugin</homepage>
        <file_name>maxar_open_data.zip</file_name>
        <icon>icons/icon.svg</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/maxar_open_data.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-maxar-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-maxar-plugin</repository>
        <tags>maxar, satellite, imagery, disaster, emergency, open data, cog, cloud optimized geotiff, stac</tags>
        <category>Raster</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="NASA Earthdata" version="0.6.0">
        <description>Search, visualize, and download NASA Earthdata products in QGIS. Supports COG visualization and data footprint display.</description>
        <about>NASA Earthdata Plugin for QGIS enables searching, visualizing, and downloading data from NASA's Earthdata catalog.

Features:
- Search NASA Earthdata catalog with keywords, bounding box, and temporal filters
- Visualize Cloud Optimized GeoTIFFs (COG) directly in QGIS
- Display data footprints on the map
- Download non-COG data for local visualization
- Support for multiple NASA data products including GEDI, MODIS, Landsat, and more
- Earthdata Login integration for authenticated access
- Settings panel for configuring credentials and preferences

Requirements:
- NASA Earthdata account (register at https://urs.earthdata.nasa.gov/)
- Python packages: earthaccess, geopandas</about>
        <version>0.6.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-nasa-earthdata-plugin</homepage>
        <file_name>nasa_earthdata.zip</file_name>
        <icon>icons/icon.svg</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/nasa_earthdata.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-nasa-earthdata-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-nasa-earthdata-plugin</repository>
        <tags>nasa, earthdata, satellite, remote sensing, COG, cloud optimized geotiff, download, visualization, GEDI, MODIS, Landsat</tags>
        <category>Raster</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="NASA OPERA" version="0.6.0">
        <description>Search and visualize NASA OPERA (Observational Products for End-Users from Remote Sensing Analysis) satellite data products.</description>
        <about>NASA OPERA Plugin for QGIS provides an intuitive interface for searching and visualizing
NASA OPERA data products directly in QGIS.

OPERA (Observational Products for End-Users from Remote Sensing Analysis) is a NASA project
that provides analysis-ready data products derived from satellite observations.

Available Datasets:
- DSWX-HLS: Dynamic Surface Water Extent from Harmonized Landsat Sentinel-2
- DSWX-S1: Dynamic Surface Water Extent from Sentinel-1
- DIST-ALERT-HLS: Land Surface Disturbance Alert from HLS
- DIST-ANN-HLS: Land Surface Disturbance Annual from HLS
- RTC-S1: Radiometric Terrain Corrected SAR Backscatter from Sentinel-1
- CSLC-S1: Coregistered Single-Look Complex from Sentinel-1

Features:
- Search OPERA products by location, date range, and dataset type
- Display search result footprints as vector layers
- Visualize OPERA raster data directly in QGIS
- Automatic authentication with NASA Earthdata
- Plugin update checker

Requirements:
- Python packages: earthaccess, geopandas, shapely, pandas
- NASA Earthdata account (free registration at https://urs.earthdata.nasa.gov)</about>
        <version>0.6.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-nasa-opera-plugin</homepage>
        <file_name>nasa_opera.zip</file_name>
        <icon>icons/opera.svg</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/nasa_opera.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-nasa-opera-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-nasa-opera-plugin</repository>
        <tags>nasa, opera, satellite, remote sensing, water, surface water, dswx, disturbance, sar, sentinel, landsat, hls, earthdata</tags>
        <category>Raster</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="Notebook" version="0.6.0">
        <description>Render and run Jupyter notebooks within QGIS in a dockable panel.</description>
        <about>QGIS Notebook allows you to open, render, and execute Jupyter notebooks directly within QGIS.

Features:
- Open and render Jupyter notebook (.ipynb) files
- Execute notebook cells with Python kernel
- View markdown and code cell outputs
- Dockable panel that can be positioned anywhere in the QGIS interface
- Syntax highlighting for code cells
- Support for notebook outputs including text, images, and HTML
- Integration with QGIS Python environment
- Auto-save and export functionality

Use this plugin to work with Jupyter notebooks without leaving QGIS.</about>
        <version>0.6.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-notebook-plugin</homepage>
        <file_name>qgis_notebook.zip</file_name>
        <icon>icons/icon.svg</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/qgis_notebook.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-notebook-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-notebook-plugin</repository>
        <tags>jupyter, notebook, python, interactive, dockable, analysis</tags>
        <category>Plugins</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="Plugin Template" version="0.2.0">
        <description>A template for creating QGIS plugins with dockable panels, update checker, and about dialog.</description>
        <about>This is a template plugin that demonstrates the structure and best practices for QGIS plugin development.

Features:
- Dockable panels that can be positioned anywhere in the QGIS interface
- Plugin update checker that fetches the latest version from GitHub
- About dialog with version information
- Menu and toolbar integration
- One-click dependency installer using uv for fast cross-platform package management
- Isolated virtual environment for Python dependencies
- Clean, modular code structure following QGIS plugin guidelines

Requirements:
- Python packages: geopandas (installed automatically via Settings &gt; Dependencies)

Use this template as a starting point for your own QGIS plugins.</about>
        <version>0.2.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-plugin-template</homepage>
        <file_name>plugin_template.zip</file_name>
        <icon>icons/icon.svg</icon>
        <author_name>Your Name</author_name>
        <download_url>https://qgis.gishub.org/plugins/plugin_template.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-plugin-template/issues</tracker>
        <repository>https://github.com/opengeos/qgis-plugin-template</repository>
        <tags>template, plugin, development, dockable, panels, dependencies, uv</tags>
        <category>Plugins</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="SamGeo" version="1.3.0">
        <description>Segment remote sensing images using SAM (Segment Anything Model) with text, point, and box prompts.</description>
        <about>A QGIS plugin for remote sensing image segmentation powered by Meta's Segment Anything Model (SAM).
Features include:
- Text-based segmentation (describe what you want to segment)
- Interactive point prompts (click to segment objects)
- Box prompts (draw rectangles to segment regions)
- Save results as vector layers or GeoTIFF rasters
- Support for GeoTIFF and common image formats</about>
        <version>1.3.0</version>
        <qgis_minimum_version>3.22</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-samgeo-plugin</homepage>
        <file_name>samgeo.zip</file_name>
        <icon>icons/icon.png</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/samgeo.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>True</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-samgeo-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-samgeo-plugin</repository>
        <tags>segmentation, sam, deep learning, remote sensing, geospatial, ai, machine learning</tags>
        <category>Raster</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="STAC Explorer" version="0.1.0">
        <description>Search, visualize, and download data from multiple STAC catalogs</description>
        <about>STAC Explorer is a QGIS plugin for searching, visualizing, and downloading
data from multiple SpatioTemporal Asset Catalog (STAC) APIs. It supports
pre-loaded catalogs (Element84 Earth Search, Microsoft Planetary Computer)
and custom user-provided catalog URLs. Features include:
- Multi-catalog switching with custom catalog support
- Collection browsing and asset key inspection
- Spatial, temporal, and cloud cover search filters
- Direct COG streaming via /vsicurl/
- Time slider for temporal layer navigation with auto-play
- Time series plotting with matplotlib
- Asset download to local files</about>
        <version>0.1.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-stac-plugin</homepage>
        <file_name>stac_explorer.zip</file_name>
        <icon>icons/icon.svg</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/stac_explorer.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-stac-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-stac-plugin</repository>
        <tags>stac, remote sensing, satellite, raster, cog, sentinel, landsat, download</tags>
        <category>Raster</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="Terrascope" version="0.8.0">
        <description>Search and visualize Terrascope STAC API data with time slider and time series plotting.</description>
        <about>Terrascope QGIS Plugin provides tools for searching, loading, and analyzing Earth observation data from the Terrascope STAC API.

Features:
- Search Terrascope STAC collections with spatial, temporal, and cloud cover filters
- Load Cloud Optimized GeoTIFFs (COGs) directly into QGIS via /vsicurl/
- Time slider for stepping through multi-temporal raster layers
- Interactive time series plotting by clicking map locations
- OAuth2 authentication with automatic token refresh
- Export time series data to CSV and save plots as images</about>
        <version>0.8.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-terrascope-plugin</homepage>
        <file_name>terrascope.zip</file_name>
        <icon>icons/icon.png</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/terrascope.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>false</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-terrascope-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-terrascope-plugin</repository>
        <tags>terrascope, stac, remote sensing, time series, ndvi, sentinel, raster, cog</tags>
        <category>Raster</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="Timelapse" version="0.8.0">
        <description>Create timelapse animations from satellite and aerial imagery (NAIP, Landsat, Sentinel-2, Sentinel-1, GOES, and MODIS NDVI) using Google Earth Engine</description>
        <about>A QGIS plugin for creating timelapse animations from remote sensing imagery using Google Earth Engine.

Features:
- NAIP timelapse: High-resolution aerial imagery (US only, 2003-present)
- Landsat timelapse: Long-term satellite archive (1984-present)
- Sentinel-2 timelapse: Multispectral satellite imagery (2015-present)
- Sentinel-1 timelapse: SAR radar imagery (2014-present)
- MODIS NDVI: Vegetation phenology animations
- GOES: Weather satellite animations
- Define area of interest by drawing on map or using vector layers
- Customizable output settings (dimensions, FPS, text overlays)
- GIF and MP4 output formats
- Plugin update checker with automatic installation</about>
        <version>0.8.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-timelapse-plugin</homepage>
        <file_name>timelapse.zip</file_name>
        <icon>icons/icon.png</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/timelapse.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-timelapse-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-timelapse-plugin</repository>
        <tags>earth engine, timelapse, animation, satellite, sentinel, naip, landsat, modis, goes, remote sensing, gif</tags>
        <category>Raster</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="Vantor" version="0.1.0">
        <description>A QGIS plugin for searching, visualizing, and downloading data from the Vantor Open Data STAC catalog.</description>
        <about>Browse and visualize satellite imagery from the Vantor Open Data Program.

Features:
- Browse disaster event collections from the Vantor STAC catalog
- Search imagery by map extent or drawn bounding box
- Filter by event and pre/post-event phase
- Visualize Cloud-Optimized GeoTIFF (COG) imagery directly in QGIS
- Download selected imagery to disk
- Interactive footprint display with bidirectional table/map selection
- One-click dependency installer using uv for fast cross-platform package management

Requirements:
- Python packages: pystac (installed automatically via Settings &gt; Dependencies)</about>
        <version>0.1.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-vantor-plugin</homepage>
        <file_name>vantor.zip</file_name>
        <icon>icons/icon.svg</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/vantor.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-vantor-plugin/issues</tracker>
        <repository>https://github.com/opengeos/qgis-vantor-plugin</repository>
        <tags>stac, satellite, imagery, disaster, vantor, open data, COG, remote sensing</tags>
        <category>Web</category>
    </pyqgis_plugin>

    <pyqgis_plugin name="Whitebox AI Agent" version="0.1.0">
        <description>An AI-powered agent for running WhiteboxTools through natural language using Ollama/Claude/OpenAI/Gemini.</description>
        <about>This plugin enables natural language interaction with WhiteboxTools processing algorithms.

Features:
- Chat-style interface for natural language queries
- Automatic algorithm discovery from QGIS Processing registry
- Multiple LLM backends: Ollama, Claude, OpenAI, Gemini
- Smart parameter validation and layer detection
- Automatic output loading to QGIS project
- Safe, deterministic execution through QgsProcessing

Simply describe what geospatial analysis you want to perform, and the AI agent
will select the appropriate WhiteboxTools algorithm and execute it for you.</about>
        <version>0.1.0</version>
        <qgis_minimum_version>3.28</qgis_minimum_version>
        <homepage>https://github.com/opengeos/qgis-whitebox-agent</homepage>
        <file_name>whitebox_agent.zip</file_name>
        <icon>icons/icon.svg</icon>
        <author_name>Qiusheng Wu</author_name>
        <download_url>https://qgis.gishub.org/plugins/whitebox_agent.zip</download_url>
        <uploaded_by>giswqs</uploaded_by>
        <experimental>False</experimental>
        <deprecated>False</deprecated>
        <tracker>https://github.com/opengeos/qgis-whitebox-agent/issues</tracker>
        <repository>https://github.com/opengeos/qgis-whitebox-agent</repository>
        <tags>whitebox, whiteboxtools, ai, agent, llm, natural language, hydrology, terrain, geomorphometry</tags>
        <category>Analysis</category>
    </pyqgis_plugin>

</plugins>
