paperarXivTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2 via Misalignment-Robust Cross-Sensor Learning and Generative Despeckling

Reliable high-resolution flood extent mapping from satellite imagery remains constrained by limited data fidelity and sensor-specific artifacts. Multispectral optical imagery is degraded by clouds, shadows, and urban confounders, while synthetic aperture radar (SAR) imagery is affected by speckle noise and sensor co-registration uncertainty. This work presents an integrated flood mapping framework that jointly addresses these limitations through curated datasets and novel learning strategies. We introduce a new Sentinel-2 (S2) and Sentinel-1 (S1) dataset covering the contiguous United States,

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PossiblePossibly related (embedding) · 60%Climate-Vision/ClimateVision →
PossiblePossibly related (embedding) · 47%satellite-image-deep-learning/model-training-and-deployment →
PossiblePossibly related (embedding) · 49%satellite-image-deep-learning/software →
PossiblePossibly related (embedding) · 48%satellite-image-deep-learning/techniques →
FuzzySimilar title/name (fuzzy) · 84%GoogleCloudPlatform/generative-ai →
“Fuzzy title match (0.92): “High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2” ≈ “GoogleCloudPlatform/generative-ai””
FuzzySimilar title/name (fuzzy) · 59%aymericdamien/TopDeepLearning →
“Fuzzy title match (0.73): “High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2” ≈ “aymericdamien/TopDeepLearning””
FuzzySimilar title/name (fuzzy) · 59%steven2358/awesome-generative-ai →
“Fuzzy title match (0.73): “High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2” ≈ “steven2358/awesome-generative-ai””
PossiblePossibly related (embedding) · 49%Regional drought prediction from Sentinel-2 time series using Random Forest, DNN, and 1D-CNN: a case study in Marchfeld, Austria - EurekAlert! →

Implements (incoming)

repoClimate-Vision/ClimateVision reposatellite-image-deep-learning/model-training-and-deployment reposatellite-image-deep-learning/software reposatellite-image-deep-learning/techniques repoGoogleCloudPlatform/generative-ai repoaymericdamien/TopDeepLearning reposteven2358/awesome-generative-ai

Covers (incoming)

newsRegional drought prediction from Sentinel-2 time series using Random Forest, DNN, and 1D-CNN: a case study in Marchfeld, Austria - EurekAlert!

Related across the graph

reposatellite-image-deep-learning/model-training-and-deployment repoGoogleCloudPlatform/generative-ai reposatellite-image-deep-learning/software repoClimate-Vision/ClimateVision reposatellite-image-deep-learning/techniques repoaymericdamien/TopDeepLearning reposteven2358/awesome-generative-ai newsRegional drought prediction from Sentinel-2 time series using Random Forest, DNN, and 1D-CNN: a case study in Marchfeld, Austria - EurekAlert!

Topics

cs.CV