A three-band semi-analytical model for deriving total suspended sediment concentration from HJ-1A/CCD data in turbid coastal waters |
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| Institution: | 1. School of Ocean Sciences, China University of Geosciences, Beijing 100083, China;2. Key Laboratory of Marine Hydrocarbon Resources and Environmental Geology, Qingdao Institute of Marine Geology, Qingdao 266071, China;3. First Institute of Oceanography, State Oceanic Administration, Qingdao 266071, China;4. Hydrospheric Atmospheric Research Center, Nagoya University, Nagoya 4648601, Japan;1. National Earth and Marine Observation Group, Geoscience Australia, Canberra 2609, Australia;2. CSIRO Oceans and Atmosphere Flagship, Acton, Canberra, 2601, Australia;3. Center for Geospatial Analytics, Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA;4. CSIRO Land and Water Flagship, Acton, Canberra, 2601, Australia;5. CSIRO Oceans and Atmosphere Flagship, Dutton Park, Brisbane, 4102, Australia;1. School of Ocean Sciences, China University of Geosciences, Beijing 100083, China;2. Key Laboratory of Marine Hydrocarbon Resources and Environmental Geology, Qingdao Institute of Marine Geology, Qingdao 266071, China;3. Shaanxi Agricultural Remote Sensing Information Center, Xian 71000, China;4. First Institute of Oceanography, State Oceanic Administration, Qingdao 266071, China;5. National Satellite Ocean Application Service, Beijing 100081, China |
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| Abstract: | The accurate assessment of total suspended sediment (TSM) concentration in coastal waters by means of remote sensing is quite challenging, due to the optical complexity and significant variability of these waters. In this study, three-band semi-analytical TSM retrieval (TSTM) model with HJ-1A/CCD spectral bands was developed for the retrieval of TSM concentration from turbid coastal waters. This model was calibrated and validated by means of one calibration dataset and three independent validation datasets obtained from three different turbid waters. It was found that the TSTM model may be used to retrieve accurate TSM concentration data from highly turbid waters without the spectral slope of the model requiring further optimization. Finally, the TSM concentration data were quantified from the HJ-1A/CCD images after atmospheric correction using the dark-object subtraction technique. Upon comparing the model-derived and field-measured TSM concentration data, it was observed that the TSTM model produced <29% uncertainty in deriving TSM concentration from the HJ-1A/CCD data. These findings imply that the TSTM model may be used for the quantitative monitoring of TSM concentration in coastal waters, provided that the atmospheric correction scheme for the HJ-1A/CCD imagery is available. |
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| Keywords: | Remote sensing Atmospheric correction HJ-1A/CCD imagery Total suspended sediment Coastal waters |
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