Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data

In this study, we used a Bayesian mixture model (BMM) to monitor water surface areas and estimate water levels in Yeongcheon Dam through Sentinel-1 synthetic aperture radar (SAR) imagery. Reservoirs serve vital functions such as flood control, drought mitigation, and ecosystem support, highlighting...

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Principais autores:	DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim
Formato:	Artigo
Idioma:	Inglês
Publicado em:	GeoAI Data Society 2025-03-01
coleção:	Geo Data
Assuntos:	synthetic aperture radar sentinel-1 waterbody water level reservoir
Acesso em linha:	http://geodata.kr/upload/pdf/GD-2024-0052.pdf
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