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

共 50 条

[41] Relationships between colored dissolved organic matter and dissolved organic carbon in different coastal gradients of the Baltic Sea
Harvey, E. Therese
Kratzer, Susanne
Andersson, Agneta
AMBIO, 2015, 44 : S392 - S401
[42] Assessment of the colored dissolved organic matter in coastal waters from ocean color remote sensing
Loisel, Hubert
Vantrepotte, Vincent
Dessailly, David
Meriaux, Xavier
OPTICS EXPRESS, 2014, 22 (11): : 13109 - 13124
[43] Photochemical production of the hydroxyl radical and the hydrated electron from colored dissolved organic matter.
Vaughan, PP
Thomas-Smith, TE
Blough, NV
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1998, 216 : U775 - U776
[44] Estimation of Colored Dissolved Organic Matter From Landsat-8 Imagery for Complex Inland Water: Case Study of Lake Huron
Chen, Jiang
Zhu, Wei-Ning
Tian, Yong Q.
Yu, Qian
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (04): : 2201 - 2212
[45] Utilizing colored dissolved organic matter to derive dissolved black carbon export by arctic rivers
Stubbins, Aron
Spencer, Robert G. M.
Mann, Paul J.
Holmes, R. Max
McClelland, James W.
Niggemann, Jutta
Dittmar, Thorsten
FRONTIERS IN EARTH SCIENCE, 2015, 3
[46] Remote sensing retrievals of colored dissolved organic matter and dissolved organic carbon dynamics in North American estuaries and their margins
Cao, Fang
Tzortziou, Maria
Hu, Chuanmin
Mannino, Antonio
Fichot, Cedric G.
Del Vecchio, Rossana
Najjar, Raymond G.
Novak, Michael
REMOTE SENSING OF ENVIRONMENT, 2018, 205 : 151 - 165
[47] Relationship between the colored dissolved organic matter and dissolved organic carbon and the application on remote sensing in East China Sea
Qiong, Liu
Pan, Delu
Huang, Haiqing
Lu, Jianxin
Zhu, Qiankun
REMOTE SENSING OF THE OCEAN, SEA ICE, COASTAL WATERS, AND LARGE WATER REGIONS 2011, 2011, 8175
[48] Seasonal Variation of Colored Dissolved Organic Matter in Barataria Bay, Louisiana, Using Combined Landsat and Field Data
Joshi, Ishan
D'Sa, Eurico J.
REMOTE SENSING, 2015, 7 (09): : 12478 - 12502
[49] Monitoring seasonal variations of colored dissolved organic matter for the Saginaw River based on Landsat-8 data
Chen, Jiang
Zhu, Weining
Zheng, Yuhan
Tian, Yong Q.
Yu, Qian
WATER SUPPLY, 2019, 19 (01) : 274 - 281
[50] Unique Dispersal of the Changjiang-Diluted Water Plume in the East China Sea Revealed from Satellite Monitoring of Colored Dissolved Organic Matter (CDOM)
Sasaki, Hiroaki
Gomi, Yasushi
Asai, Takamasa
Shibata, Masashi
Kiyomoto, Yoko
Okamura, Kazumaro
Nishiuchi, Kou
Hasegawa, Tom
Yamada, Haruya
TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES, 2014, 25 (02): : 279 - 287

← 1 2 3 4 5 →