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29 December 2008 Quantitative analysis of suspended sediment in the Yangtze River estuary from MODIS images
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Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 728553 (2008) https://doi.org/10.1117/12.815925
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
Spatial and temporal distributions of suspended sediment concentration (SSC) are greatly important for analyzing the deposition and erosion variety of estuaries and evaluating the fluxes from river to sea. A model based on data in situ measurements for estimating concentration of the suspended sediment with MODIS band 2 images are developed by taking Yangtze River estuary as an experimental site in this study. Numerous field spectral measurements are carried out in the Yangtze River estuary, and SSC are obtained concurrently. By analyzing the remote sensing reflectance (Rrs) and SSC, we observed that Rrs increases with SSC and their correlation coefficient is beyond 0.8 at near-infrared wavelengths (750-900nm). A linear relationship was established between SSC and Rrs at 858.5nm wavelength (the middle point of 841-876nm wavelength). Compared to MODIS band 15, 16, 17 (resolution of 1km) data, the MODIS band 2 (resolution of 250m) data is suitable to detect the horizontal distribution of suspended sediment in narrow estuaries because of relatively high spatial resolution. The linear function is applied to corrected MODIS Terra band 2 data. As a result, the horizontal distribution of SSC is retrieved in the Yangtze River estuary. This study demonstrates MODIS band 2 (250m) data provides data well suited for the study of suspended sediment in dynamic estuarine waters.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Runyuan Kuang, Yunxuan Zhou, Xing Li, and Fang Shen "Quantitative analysis of suspended sediment in the Yangtze River estuary from MODIS images", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728553 (29 December 2008); https://doi.org/10.1117/12.815925
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