Neural Network-Based Temporal Ensembling of Water Depth Estimates Derived from SuperDove Images

CubeSats provide a wealth of high-frequency observations at a meter-scale spatial resolution. However, most current methods of inferring water depth from satellite data consider only a single image. This approach is sensitive to the radiometric quality of the data acquired at that particular instant...

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Prif Awduron:	Milad Niroumand-Jadidi, Carl J. Legleiter, Francesca Bovolo
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2025-04-01
Cyfres:	Remote Sensing
Pynciau:	satellite-derived bathymetry CubeSat SuperDove image temporal ensembling machine learning neural networks
Mynediad Ar-lein:	https://www.mdpi.com/2072-4292/17/7/1309
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!