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

Fangyuan Chen, Guofeng Wu, Junjie Wang, Junjun He and Yihan Wang
Additional contact information
Fangyuan Chen: School of Resource and Environmental Sciences & Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China
Guofeng Wu: School of Resource and Environmental Sciences & Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China
Junjie Wang: 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
Junjun He: School of Resource and Environmental Sciences & Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China
Yihan Wang: School of Resource and Environmental Sciences & Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China

Sustainability, 2016, vol. 8, issue 8, 1-14

Abstract: Suspended particulate matter concentration ( C SPM ) is a key parameter describing case-II water quality. Empirical and semi-empirical models are frequently developed and applied for estimating C SPM 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 C SPM for Poyang and Dongting Lake together. The 89 C SPM measurements in Poyang and Dongting Lake as well as their corresponding MODIS Terra images were used to calibrate C SPM 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 C SPM 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 C SPM 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 C SPM in both Poyang and Dongting Lake, and it provided a foundation for obtaining comparable spatiotemporal information of C SPM , which will be helpful for comparing, understanding, managing, and protecting the two aquatic ecosystems.

Keywords: lake management; water quality; remote sensing; empirical model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/8/8/832/pdf (application/pdf)
https://www.mdpi.com/2071-1050/8/8/832/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:8:y:2016:i:8:p:832-:d:76466

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().