Simultaneous atmospheric correction and quantification of suspended particulate matters from orbital and geostationary earth observation sensors

被引:23
作者
Salama, M. S. [1 ]
Shen, F. [2 ]
机构
[1] ITC, Int Inst Geoinformat Sci & Earth Observat, NL-7500 AA Enschede, Netherlands
[2] E China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai 200062, Peoples R China
关键词
remote sensing; suspended particulate matters; atmospheric correction; SEVIRI-MSG; MERIS; Yangtze Estuary; Makassar Strait; Poyang Lake; OCEAN COLOR IMAGERY; CASE; 2; WATERS; SPECTRAL OPTIMIZATION; CONSTITUENT RETRIEVAL; CORRECTION ALGORITHM; SEAWIFS IMAGERY; TURBID COASTAL; MODEL; ABSORPTION; PHYTOPLANKTON;
D O I
10.1016/j.ecss.2009.10.001
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
Earth observation (EO) data are excellent tools for studying the quality and dynamic of estuarine and coastal waters. In this paper we propose a simplified remote sensing method to estimate aerosol reflectance and suspended particulate matter (SPM). We validated this method with in-situ measurements from two different locations: the Poyang Lake in China and the Kenyan Coastal waters. In the validation phase, we used match-up data from orbital ocean color (MERIS) and geostationary (SEVIRI) sensors. Both locations as well as both sensors gave consistent results. The R-2 values between derived and measured SPM concentrations were >0.94 for MERIS and >0.7 for SEVIRI. The RMSE values of derived SPM concentrations were less than 3 and 5 g m(-3) for MERIS and SEVIRI respectively. Our method derived realistic patterns of SPM dynamics in turbid waters and spatially un-correlated aerosol reflectance maps. The proposed method can be applied to derive either SPM concentrations or its backscattering coefficient. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:499 / 511
页数:13
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