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Towards Explainable AI4EO: an explainable DL approach for crop type mapping using SITS
AI4EO Hyperview Machine Learning Challenge
This repository contains resources and examples on Unsupervised Learning Methods. It aims to introduce and apply unsupervised learning techniques to Earth observation data.
A Deep Learning Approach to Image Resolution Enhancement: Super-Resolution of Multispectral MODIS Imagery Utilizing Sentinel-2 Products
Predicting Groundwater depletion in the Rhine River region using Satellite Gravity (GRACE) & Weather Data. Features: LSTM/GRU comparison, Explainable AI (Permutation Feature Importance (PFI)) for climate analysis, and Uncertainty Quantification for ethical AI.
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