Wu, Guofeng; Cui, Lijuan; Liu, Liangjie; Chen, Fangyuan; Fei, Teng; Liu, Yaolin (2015). Statistical model development and estimation of suspended particulate matter concentrations with Landsat 8 OLI images of Dongting Lake, China. INTERNATIONAL JOURNAL OF REMOTE SENSING, 36(1), 343-360.
Abstract
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.
DOI:
10.1080/01431161.2014.995273
ISSN:
0143-1161