Performance Evaluation of Inherent Optical Property Algorithms and Identification of Potential Water Quality Indicators Using GCOM-C Data in Eutrophic Lake Kasumigaura, Japan

Lake Kasumigaura, one of Japan’s largest lakes, presents significant challenges for remote sensing due to its eutrophic conditions and complex optical properties. Although the Global Change Observation Mission-Climate (GCOM-C)/Second-generation Global Imager (SGLI)-derived inherent optical propertie...

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Hlavní autoři:	Misganaw Choto, Hiroto Higa, Salem Ibrahim Salem, Eko Siswanto, Takayuki Suzuki, Martin Mäll
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-05-01
Edice:	Remote Sensing
Témata:	inherent optical properties (IOPs) algorithm SeaDAS GCOM-C/SGLI remote sensing reflectance water quality
On-line přístup:	https://www.mdpi.com/2072-4292/17/9/1621
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