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Mind the modality gap: Towards a remote sensing vision-language model via cross-modal alignment
Deep Learning (DL) is undergoing a paradigm shift with the emergence of foundation models. In this work, we focus on Contrastive …
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On the Generalization of Representation Uncertainty in Earth Observation
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FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2
Over the last decade there has been an increasing frequency and intensity of wildfires across the globe, posing significant threats to …
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FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2
Kuro Siwo: 33 billion $ m^ 2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping
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Benchmarking and scaling of deep learning models for land cover image classification
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Wildfire Danger Prediction and Understanding With Deep Learning
Abstract Climate change exacerbates the occurence of extreme droughts and heatwaves, increasing the frequency and intensity of large …
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Wildfire Danger Prediction and Understanding With Deep Learning
A sentinel-2 multiyear, multicountry benchmark dataset for crop classification and segmentation with deep learning
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Assessing the added value of Sentinel-1 PolSAR data for crop classification
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Deep learning for downscaling remote sensing images: Fusion and super-resolution
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Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes
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