Pinned Repositories
AgML-CY-Bench
CY-Bench (Crop Yield Benchmark) is a comprehensive dataset and benchmark to forecast crop yields at subnational level. CY-Bench standardizes selection, processing and spatio-temporal harmonization of public subnational yield statistics with relevant predictors. Contributors include agronomers, climate scientists and machine learning researchers.
CropTypeMapping
GEE-to-NPY
Extract parcel-level Sentinel-1/Sentinel-2 time series from Google Earth Engine
GeoITU_CropMapping
light-weight crop mapping
ml_cocoa_mining
using ML to segment cocoa and mining landuse
pytorch-psetae
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
8th-place-GEO-AI-Challenge-for-Cropland-Mapping
8th place solution to the ITU GEO-AI crop mapping challenge
Crop_Challenge_SA_Zindi
ellaampy's Repositories
ellaampy/CropTypeMapping
ellaampy/GEE-to-NPY
Extract parcel-level Sentinel-1/Sentinel-2 time series from Google Earth Engine
ellaampy/GeoITU_CropMapping
light-weight crop mapping
ellaampy/ml_cocoa_mining
using ML to segment cocoa and mining landuse
ellaampy/pytorch-psetae
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
ellaampy/SpatioTemporalYield
on exploring spatio-temporal encoding strategies for county-level yield prediction.