文献类型：期刊文献

英文题名：Statistical model development and estimation of suspended particulate matter concentrations with Landsat 8 OLI images of Dongting Lake, China

作者：Wu, Guofeng[1,2,3,4,5] Cui, Lijuan[6] Liu, Liangjie[7] Chen, Fangyuan[4,5] Fei, Teng[4,5] Liu, Yaolin[4,5]

第一作者：Wu, Guofeng

通信作者：Wu, GF[1]

机构：[1]Shenzhen Univ, Natl Adm Surveying Mapping & GeoInformat, Key Lab Geoenvironm Monitoring Coastal Zone, Shenzhen 518060, Peoples R China;[2]Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen 518060, Peoples R China;[3]Shenzhen Univ, Coll Life Sci, Shenzhen 518060, Peoples R China;[4]Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China;[5]Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China;[6]Chinese Acad Forestry, Inst Wetland Res, Beijing 100091, Peoples R China;[7]Tianjin Inst Surveying & Mapping, Tianjin 300381, Peoples R China

年份：2015

卷号：36

期号：1

起止页码：343-360

外文期刊名：INTERNATIONAL JOURNAL OF REMOTE SENSING

收录：;EI(收录号：20150300437963);Scopus(收录号：2-s2.0-84921000523);WOS:【SCI-EXPANDED(收录号:WOS:000348464300015)】；

基金：This study was supported by the Forestry Nonprofit Industry Scientific Research Special Project 'The research of ecosystem service and evaluation techniques of coastal wetlands, China' [Grant No. 201404305]; the National Natural Science Foundation of China [Grant No. 41171290].

语种：英文

外文关键词：Particles (particulate matter) - Radiometers - Spatial distribution - Water quality

摘要：Suspended particulate matter (SPM) is a dominant water constituent of case-II waters, and SPM concentration (C-SPM) is a key parameter describing water quality. This study, using Landsat 8 Operational Land Imager (OLI) images, aimed to develop the C-SPM retrieval models and further to estimate the C-SPM values of Dongting Lake. One Landsat 8 OLI image and 53 C-SPM measurements were employed to calibrate Landsat 8-based C-SPM retrieval models. The C-SPM values derived from coincident Landsat 8 OLI and Moderate Resolution Imaging Spectroradiometer (MODIS) images were compared to validate calibrated Landsat 8-based C-SPM models. After the best stable Landsat 8-based C-SPM retrieval model was further validated using an independent Landsat 8 OLI image and its coincident C-SPM measurements, it was applied to four Landsat 8 OLI images to retrieve the C-SPM values in the South and East Dongting Lake. Model calibration results showed that two exponential models of the red band explained 61% (estimated standard error (SE) = 7.96 mg l(-1)) and 67% (SE = 6.79 mg l(-1)) of the variation of C-SPM; two exponential models of the red: panchromatic band ratio obtained 81% (SE = 5.48 mg l(-1)) and 77% (SE = 4.96 mg l(-1)) fitting accuracy; and four exponential and quadratic models of the infrared band explained 72-83% of the variation of C-SPM (SE = 5.18-5.52 mg l(-1)). By comparing the MODIS-and Landsat 8-based C-SPM values, an exponential model of the Landsat 8 OLI red band (C-SPM = 1.1034 x exp(23.61 x R)) obtained the best consistent C-SPM estimations with the MODIS-based model (r = 0.98, p < 0.01), and its further validation result using an independent Landsat 8 OLI image showed a significantly strong correlation between the measured and estimated C-SPM values at a significance level of 0.05 (r = 0.91, p < 0.05). The C-SPM spatiotemporal distribution derived from four Landsat 8 images revealed a clear spatial distribution pattern of C-SPM in the South and East Dongting Lake, which was caused by natural and anthropogenic factors together. This study confirmed the potential of Landsat 8 OLI images in retrieving C-SPM and provided a foundation for retrieving the spatial distribution of C-SPM accurately from this new data source in Dongting Lake.