Flood mapping and damage assessment in GEE
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Mar 30, 2023 - JavaScript
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mndwi
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The Wetland Extent Tool (WET) was developed by the 2019 Spring JPL Great Lakes Water Resources team for wetland mapping in Minnesota using Sentinel-1 C-SAR, Landsat 8 OLI, and a LiDAR-derived Topographic Wetness Index (TWI) in Google Earth Engine.
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Dec 7, 2021
This script processes Sentinel-2 satellite imagery to calculate various indices (NDVI, MNDWI, SAVI, NDBI).
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May 26, 2025 - JavaScript
Deep learning-based semantic segmentation of Sentinel-2 multispectral imagery for agricultural land cover classification. The project uses a custom Attention U-Net with spectral indices (NDVI, NDWI, MNDWI, EVI, AWEI) and an end-to-end pipeline including auto-labeling, patch-based training, and GIS-ready inference.
computer-vision deep-learning agriculture geospatial gis pytorch remote-sensing image-segmentation semantic-segmentation earth-observation ndvi weakly-supervised-learning evi sentinel-2 awei ndwi multispectral land-cover-classification attention-unet mndwi
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Aug 21, 2026 - Jupyter Notebook
Multi-sensor Landsat pipeline in Google Earth Engine + Python: Otsu surface-water delineation, landscape-fragmentation metrics, and Mann-Kendall/Sen's-slope trend analysis
python time-series geospatial image-processing landsat remote-sensing google-earth-engine rasterio ndvi landscape-metrics trend-analysis fragmentation mann-kendall ndwi otsu-thresholding multi-sensor spectral-indices mndwi theil-sen water-mapping
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Sep 10, 2026 - Python
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