Real-Time Vegetation Monitoring & Bloom Event Prediction
BloomWatch is a web-based vegetation monitoring platform that leverages NASA MODIS and GIBS satellite data to provide:
- Real-time NDVI (Normalized Difference Vegetation Index) analysis for any location on Earth
- AI-driven bloom event detection and vegetation health forecasting using LSTM neural networks
- Actionable agricultural and ecological insights to support farmers, researchers, and environmentalists
Our goal is to democratize access to satellite vegetation data, eliminating the need for expensive software or technical expertise. Users can simply input coordinates and date ranges to receive comprehensive vegetation health reports and historical trends.
- Real-time NDVI calculation and visualization
- Bloom event detection and trend analysis
- Forecasting of future NDVI and potential bloom events using LSTM
- Interactive map with location-based insights
- Synthetic NDVI fallback when real-time data is unavailable
| Resource | URL |
|---|---|
| NASA MODIS NDVI Data | https://modis.ornl.gov/data.html |
| NASA GIBS (Global Imagery Browse Services) | https://nasa-gibs.github.io/gibs-api-docs/ |
| NASA CMR (Common Metadata Repository) | https://cmr.earthdata.nasa.gov/search/site/docs/search/api.html |
| MODIS Products Overview | https://modis.gsfc.nasa.gov/data/dataprod/ |
| Resource | URL |
|---|---|
| OpenStreetMap Nominatim (Geocoding) | https://nominatim.openstreetmap.org/ |
| CartoDB Basemap (Map Tiles) | https://carto.com/ |
| GLOBE Observer Wildflower Bloom Data | https://observer.globe.gov/ |
git clone https://github.com/anmolthakur74/BloomWatch.git
cd BloomWatchpython -m venv bloom_env.\bloom_env\Scripts\Activate.ps1.\bloom_env\Scripts\activate.batsource bloom_env/bin/activatepip install -r requirements.txtpython start_nasa_api.py --reloadcd web
npm install
npm run dev