trends.earth - measure land change
An R-package to calculate Land Productivity Dynamics using variables derived from Earth Observation imagery.
A project on gully erosion/feature mapping using machine-learning
Obese Land Viability Checker 🌱 is a Python tool that analyzes soil data and images using machine learning to assess land fertility and suitability for farming in Ghana. 🚜🔍
RUSLE + explainable ML for soil erosion in the Amanos (Nur) Mountains, Türkiye
Early Warning Signals (EWS) for land degradation using modelled hillslope evolution data
Reproducible Python workflow for benchmark-relative State, multi-window Trend, fixed-baseline Performance and joint land-productivity diagnostics across Africa.
Frontend dashboard for LUP4LDN for LUP4LDN — Land Use Planning for Land Degradation Neutrality. Winner, GEO-LDN International Technology Innovation Competition (2021).
Research project: Assessing SDG 15.3.1 for Maharashtra using QGIS and geospatial analysis
LUP4LDN — Land Use Planning for Land Degradation Neutrality. Winner, GEO-LDN International Technology Innovation Competition (2021). Maintained by SCiO.
Backend API for LUP4LDN — Land Use Planning for Land Degradation Neutrality. Winner, GEO-LDN International Technology Innovation Competition (2021).
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