A Python toolkit designed to construct deep learning-ready datasets from Google Earth Engine
Land Cover Classification for KAZA in Collaboration with WWF Space Science Germany
Flood-conditioned access to primary health care in Sindh, Pakistan: what incomplete health facility data cost when targeting flood-resilient road protection. Sentinel-1 flood exposure, OpenStreetMap routing, probabilistic facility layers, pre-registered regret and value-of-information analysis.
Comprehensive elephant movement workflow analyzing GPS data from EarthRanger. Generates home range, seasonal, recursion, day/night, and speed raster maps alongside subject tracks, protection status analysis, and a compiled Word report using landDX database and Google Earth Engine data.
A Geospatial AI and Remote Sensing toolkit for tracking the construction progress of the Samruddhi Expressway using Sentinel-2 imagery and Google Earth Engine.
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