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

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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Bibliographic Details
Main Authors: DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim
Format: Article
Language:English
Published: GeoAI Data Society 2025-03-01
Series:Geo Data
Subjects:
synthetic aperture radar
sentinel-1
waterbody
water level
reservoir
Online Access:http://geodata.kr/upload/pdf/GD-2024-0052.pdf
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http://geodata.kr/upload/pdf/GD-2024-0052.pdf

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