DOI: 10.1016/j.jag.2014.03.025
Scopus记录号: 2-s2.0-84904515460
论文题名: Developing MODIS-based retrieval models of suspended particulate matter concentration in Donating Lake, China
作者: Wu G ; , Liu L ; , Chen F ; , Fei T
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 32, 期: 1 起始页码: 46
结束页码: 53
语种: 英语
英文关键词: Empirical model
; Lake management
; Remote sensing
; Suspended particulate matter
Scopus关键词: concentration (composition)
; ecosystem management
; empirical analysis
; environmental management
; hydrochemistry
; lake water
; MODIS
; numerical model
; radiometer
; remote sensing
; spatiotemporal analysis
; suspended particulate matter
; water quality
; China
英文摘要: To case-II waters, suspended particulate matter (SPM) is one of the dominant water constituents, SPM concentration (CSPM) is a key parameter describing water quality, and developing remote sensing-based CSPM retrieval models is foundation for obtaining its spatiotemporal distributions. This study aimed to develop moderate resolution imaging spectroradiometer (MODIS)-based CSPM empirical retrieval models in Dongting Lake, China. The 95 CSPM measurements on 31 August 2012 and 14 June 2013 and their corresponding MODIS Terra images were used to calibrate models, and the model calibration results showed that the 250 m MODIS red band obtained better fitting accuracies than the near infrared band; the quadratic and exponential models of single red band explained 75% (estimated standard errors (SE) = 6.19mg/l) and 71% (SE = 6.54mg/l) of the variation of CSPM; and the quadratic and exponential models of red minus shortwave infrared (SWIR) band at 1240 and 1640nm explained 72-73% (SE = 6.43-6.48mg/1) and 68-69% (SE = 6.83-6.96mg/1) of the variations of CSPM, respectively. The quadratic and exponential models of red band and red minus SWIR band were applied to the MODIS Terra image on 16 September 2013 to estimate CSPM values. By comparing the estimated CSPM values on 16 September 2013 and the measured ones on 17 September 2013 at 40 sampling points for model validations, the results indicated that there exited significantly strong correlations between the measured and estimated CSPM values at a significance level of 0.05 for all models, and the exponential model of red minus SWIR band at 1240 nm achieved the best estimation result within all models. Such result provided foundation for obtaining the spatiotemporal distribution information of CSPM from MODIS images in Dongting Lake, which will be helpful for understanding, managing and protecting this ecosystem. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79636
Appears in Collections: 气候变化事实与影响
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作者单位: Key Lab. for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geolnformation and Shenzhen Key Laboratory of Spatial Smart Sensing and Services, College of Life Sciences, Shenzhen University, 518060 Shenzhen, China; School of Resource and Environmental Science, Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, 430079 Wuhan, China
Recommended Citation:
Wu G,, Liu L,, Chen F,et al. Developing MODIS-based retrieval models of suspended particulate matter concentration in Donating Lake, China[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,32(1)