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作 者:Zhongping Lee Mingjia Shangguan Rodrigo AGarcia Wendian Lai Xiaomei Lu Junwei Wang Xiaolei Yan
机构地区:[1]School for the Environment,University of Massachusetts Boston,Boston,MA 02125,USA [2]State Key Laboratory of Marine Environmental Science,College of Ocean and Earth Sciences,Xiamen University,Xiamen 361102,China [3]School of Earth Sciences,University of Western Australia,Crawley,WA 6009,Australia [4]Science Systems and Applications,Inc.,Hampton,VA 23666,USA
出 处:《Journal of Remote Sensing》2021年第1期273-288,共16页国际遥感学报(英文)
基 金:support by the Chinese Ministry of Science and Technology through the National Key Research and Development Program of China(#2016YFC1400904 and#2016YFC1400905);the National Natural Science Foundation of China(#41941008,#41890803,and#41830102);the Joint Polar Satellite System(JPSS)funding for the NOAA ocean color calibration and validation(Cal/Val)project。
摘 要:With the advancement of Lidar technology,bottom depth(H)of optically shallow waters(OSW)can be measured accurately with an airborne or space-borne Lidar system(H_(Lidar) hereafter),but this data product consists of a line format,rather than the desired charts or maps,particularly when the Lidar system is on a satellite.Meanwhile,radiometric measurements from multiband imagers can also be used to infer H(H_(imager) hereafter)of OSW with variable accuracy,though a map of bottom depth can be obtained.It is logical and advantageous to use the two data sources from collocated measurements to generate a more accurate bathymetry map of OSW,where usually image-specific empirical algorithms are developed and applied.Here,after an overview of both the empirical and semianalytical algorithms for the estimation of H from multiband imagers,we emphasize that the uncertainty of H_(imager) varies spatially,although it is straightforward to draw regressions between H_(Lidar) and radiometric data for the generation of H_(imager).Further,we present a prototype system to map the confidence of H_(imager) pixel-wise,which has been lacking until today in the practices of passive remote sensing of bathymetry.We advocate the generation of a confidence measure in parallel with H_(imager),which is important and urgent for broad user communities.
分 类 号:TN9[电子电信—信息与通信工程]
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