newsGoogle News — Machine LearningTrust 62 · AggregatorPublished 22d agoLive · 22d ago
Regional drought prediction from Sentinel-2 time series using Random Forest, DNN, and 1D-CNN: a case study in Marchfeld, Austria - EurekAlert!
Regional drought prediction from Sentinel-2 time series using Random Forest, DNN, and 1D-CNN: a case study in Marchfeld, Austria EurekAlert!
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- PossiblePossibly related (embedding) · 54%Climate-Vision/ClimateVision →
- PossiblePossibly related (embedding) · 49%High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2 via Misalignment-Robust Cross-Sensor Learning and Generative Despeckling →
- PossiblePossibly related (embedding) · 47%Weakly Supervised Spatio-Temporal Candidate Discovery of Dairy Farm Sites from Seasonal Satellite Imagery →
- PossiblePossibly related (embedding) · 45%DELUGE: Towards Continental-Scale Daily Pluvial Flood Damage Prediction via Interpretable Conditioning on Foundation Model Embeddings →
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repoClimate-Vision/ClimateVisionpaperHigh-Resolution Flood Mapping With Sentinel-1 and Sentinel-2 via Misalignment-Robust Cross-Sensor Learning and Generative DespecklingpaperWeakly Supervised Spatio-Temporal Candidate Discovery of Dairy Farm Sites from Seasonal Satellite ImagerypaperDELUGE: Towards Continental-Scale Daily Pluvial Flood Damage Prediction via Interpretable Conditioning on Foundation Model Embeddings
Related across the graph
paperHigh-Resolution Flood Mapping With Sentinel-1 and Sentinel-2 via Misalignment-Robust Cross-Sensor Learning and Generative DespecklingpaperWeakly Supervised Spatio-Temporal Candidate Discovery of Dairy Farm Sites from Seasonal Satellite ImageryrepoClimate-Vision/ClimateVisionpaperDELUGE: Towards Continental-Scale Daily Pluvial Flood Damage Prediction via Interpretable Conditioning on Foundation Model Embeddings