A MODIS-Based Retrieval Model of Suspended Particulate Matter Concentration for the Two Largest Freshwater Lakes in ChinaReport as inadecuate


A MODIS-Based Retrieval Model of Suspended Particulate Matter Concentration for the Two Largest Freshwater Lakes in China


A MODIS-Based Retrieval Model of Suspended Particulate Matter Concentration for the Two Largest Freshwater Lakes in China - Download this document for free, or read online. Document in PDF available to download.

1

School of Resource and Environmental Sciences & Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China

2

Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China

3

College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China

4

Fourth Surveying and Mapping Institute of Anhui Province, Hefei 230031, China

5

Surveying and Mapping Engineering Institute of Hubei Province, Wuhan 430074, China





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Author to whom correspondence should be addressed.



Academic Editor: Richard Henry Moore

Abstract Suspended particulate matter concentration CSPM is a key parameter describing case-II water quality. Empirical and semi-empirical models are frequently developed and applied for estimating CSPM values from remote sensing images; however, they are usually region- or season-dependent. This study aimed to develop a Moderate Resolution Imaging Spectroradiometer MODIS-based retrieval model of CSPM for Poyang and Dongting Lake together. The 89 CSPM measurements in Poyang and Dongting Lake as well as their corresponding MODIS Terra images were used to calibrate CSPM retrieval models, and the calibration results showed that the exponential models of MODIS red band and red minus shortwave infrared SWIR band at 1240 nm both explained about 76% of the variation of CSPM of Poyang and Dongting Lake together. When the two models were applied to the validation datasets, the results indicated that the exponential model of red band obtained more stable CSPM estimations with no bias at a significance level of 0.05 in both lakes. The MODIS red-band-based model achieved acceptable results for estimating CSPM in both Poyang and Dongting Lake, and it provided a foundation for obtaining comparable spatiotemporal information of CSPM, which will be helpful for comparing, understanding, managing, and protecting the two aquatic ecosystems. View Full-Text

Keywords: lake management; water quality; remote sensing; empirical model lake management; water quality; remote sensing; empirical model





Author: Fangyuan Chen 1, Guofeng Wu 1,2,3,* , Junjie Wang 2,3, Junjun He 1,4 and Yihan Wang 1,5

Source: http://mdpi.com/



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