STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery

Flooding is a major global natural disaster exacerbated by climate change and urbanization. Timely assessment and mapping of inundations are crucial for preventive and emergency measures, driving the demand for curated global geospatial data to implement novel algorithms. This study introduces the S...

詳細記述

書誌詳細

出版年:	Big Earth Data
主要な著者:	Nicla Notarangelo, Charlotte Wirion, Frankwin van Winsen
フォーマット:	論文
言語:	英語
出版事項:	Taylor & Francis Group 2025-07-01
主題:	Flood extent mapping remote sensing Sentinel-1 Sentinel-2 Copernicus EMS deep learning
オンライン･アクセス:	https://www.tandfonline.com/doi/10.1080/20964471.2025.2458714