This repository contains machine learning models for estimating cropland types (irrigated, non-irrigated, no crop) to assess climate change impact on agricultural land suitability across various carbon emission scenarios.
Digital Elevation Models
R code and data for structural equation models and boosted regression trees to estimate relationships between environmental degradation and socio-economic variables among African nations
Cropland CROS - Proof of concept . Full stack project with React-TS on front-end and back-end API using python
Streamlit web app for estimating actual evapotranspiration (ET) over croplands using Landsat imagery and ERA5-Land data, with ML and original PT-JPL models.
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