ESTIMATION OF COLORED DISSOLVED ORGANIC MATTER FROM SATELLITE DATA

被引：0

作者：

Liew, Soo Chin ^{[1
]}

Wong, Joel ^{[1
]}

Wong, Elizabeth Wing-See ^{[1
]}

机构：

[1] Natl Univ Singapore, Ctr Remote Imaging Sensing & Processng, 10 Lower Kent Ridge Rd, Singapore 119076, Singapore

来源：

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年

关键词：

CDOM; Sentinel-2; water reflectance; band ratio;

D O I：

10.1109/IGARSS39084.2020.9324474

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we evaluate the performance of the power law model and the exponential model for retrieving CDOM absorption coefficient at 440 nm from 5 reflectance band ratios. Simulated water reflectance for the Sentinel-2 MSI sensor were computed using a semi-empirical water reflectance model. The models are evaluated in Four water types with various levels of CDOM, phytoplankton and suspended sediment. It was found that the power law applied to the band ratio of band 2 (443 nm) to band 4 (665 nm) has the best performance across all water types, except that the performance deteriorates for the water type with low CDOM but high chlorophyll content.

引用

页码：5901 / 5904

页数：4

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