An Improved Empirical Model for Retrieving Bottom Reflectance in Optically Shallow Water
Yang, Chaoyu; Yang, Dingtian; ycy@scsio.ac.cn; dtyang@scsio.ac.cn
2015
发表期刊IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
卷号8期号:3页码:1266-1273
摘要Satellite remote sensing has become an essential observing system to obtain comprehensive information on the status of coastal habitats. However, a significant challenge in remote sensing of optically shallow water is to correct the effects of the water column. This challenge becomes particularly difficult due to the spatial and temporal variability of water optical properties. In order to model the light distribution for optically shallow water and retrieve the bottom reflectance, a parameterized model was proposed by introducing an important adjusted factor g. The synthetic data sets generated by HYDROLIGHT were utilized to train a neural network (NN) and then to derive the adjustable parameter values. The parameter g was found to vary with water depth, water optical properties, and bottom reflectance. Specifically, it revealed two obvious patterns among the different benthic habitat types. In coral reef, seagrass, and macrophyte habitats, g exhibited a remarkable peak at about 550 nm. The peak has a value of about 2.47-2.49. In white sand or hardpan habitats, g spectra are relatively flat. The semi-empirical model was applied to calculate the bottom reflectance from the new weighting factor, the downward diffuse attenuation coefficient, and the irradiance reflectance just below the sea surface collected in Sanya Bay in 2008 and 2009. Good agreement between the predicted and measured values demonstrated that the weighting factor g is an effective tool to modify the model for interpreting and predicting bottom reflectance without the need for any localized input (R-2 > 0.79).
部门归属[Yang, Chaoyu] SOA, South China Sea Marine Predict Ctr, Guangzhou 510310, Guangdong, Peoples R China; [Yang, Dingtian] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Oceanog Trop, Guangzhou 510301, Guangdong, Peoples R China ; LTO
关键词Coral Reef Optically Shallow Water Seagrass Water Column Correction
学科领域Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
文献类型期刊论文
条目标识符http://ir.scsio.ac.cn/handle/344004/15000
专题热带海洋环境国家重点实验室(LTO)
通讯作者ycy@scsio.ac.cn; dtyang@scsio.ac.cn
推荐引用方式
GB/T 7714
Yang, Chaoyu,Yang, Dingtian,ycy@scsio.ac.cn,et al. An Improved Empirical Model for Retrieving Bottom Reflectance in Optically Shallow Water[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(3):1266-1273.
APA Yang, Chaoyu,Yang, Dingtian,ycy@scsio.ac.cn,&dtyang@scsio.ac.cn.(2015).An Improved Empirical Model for Retrieving Bottom Reflectance in Optically Shallow Water.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(3),1266-1273.
MLA Yang, Chaoyu,et al."An Improved Empirical Model for Retrieving Bottom Reflectance in Optically Shallow Water".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.3(2015):1266-1273.
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