PROJECT /
2024
DATA / EARTH SYSTEMS
NASA, Earth Systems Explorers Mission
✦
Developed machine-learning models using satellite imagery to study how solar and crop production can be optimized on the same land.
THE QUESTION
What can measurements from above reveal about energy systems on the ground?
BUILT / TESTED
Processed Landsat satellite imagery to evaluate vegetation changes surrounding solar installations.
Extracted vegetation indices and geospatial features using NASA AppEEARS.
Developed machine-learning models to predict vegetation greenness following solar installation.
Achieved an R² of 0.76 and presented findings at the American Geophysical Union conference.
TOOLS
Python · Scikit-learn · NASA AppEEARS · Landsat · NDVI · Geospatial Data Analysis