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面向GF-5卫星高光谱传感器的浑浊水体叶绿素a浓度反演算法研究——以鄱阳湖为例

邓实权 田礼乔 李建 陈晓玲 孙兆华 张琍 韦安娜

华中师范大学学报(自然科学版)2018,Vol.52Issue(3):409-415,7.
华中师范大学学报(自然科学版)2018,Vol.52Issue(3):409-415,7.DOI:10.19603/j.cnki.1000-1190.2018.03.018

面向GF-5卫星高光谱传感器的浑浊水体叶绿素a浓度反演算法研究——以鄱阳湖为例

A novel chlorophyll-a inversion model in turbid water for GF-5 satellite hyperspectral sensor——a case in Poyang Lake

邓实权 1田礼乔 1李建 2陈晓玲 1孙兆华 3张琍 4韦安娜1

作者信息

  • 1. 武汉大学测绘遥感信息工程国家重点实验室,武汉430079
  • 2. 武汉大学遥感信息工程学院,武汉430079
  • 3. 中国科学院边缘海与大洋地质重点实验室(中国科学院南海海洋研究所),广州510301
  • 4. 江西师范大学鄱阳湖湿地与流域研究教育部重点实验室,南昌330022
  • 折叠

摘要

Abstract

In order to analyze the potential of GaoFen-5(GF-5) hyperspectral satellite data for water color Remote Sensing application in inland waters,134 in situ spectral data sets by SVC HR1024 spectrometer,corresponding chlorophyll-a (Chl-a) concentration,and total suspended sediments (TSS) concentration were obtained from Poyang Lake in 2009,2011,and 2016.Considering spectral response differences of Chl-a variation in high turbid water area,we uti lized Normalized Difference Chlorophyll a Index (NDCI) for optical partition.Then,the spec tral simulation and difference processing were carried out for hyperspectral cross-derivative inversion of Chl a concentration.Our results are that the optical partitioning is helpful to improve the inversion accuracy.The coefficient of determination (R2),Root Mean Square Error (RMSE) and Mean Relative Error (MRE) of inversion model is 0.82,1.12,and 0.32 in lowturbid water (NDCI≥0.06),separately.However,the R2 of inversion model is only 0.37 in the whole lake area.Compared with the previous optimal multi-band inversion model (R2 =0.76) in Poyang Lake,our method is more effective which used original spectrum and difference spectrum (first difference,second difference) in the central wavelengths at 495,591,675,679,684,688,692,and 696 nm to establish a cross derivative multi-band combination inversion model.However,further study is still needed for the hyperspectral inversion potential in Chl-a concentration in high turbid water (NDCI <0.06) with TSS concentration higher than 50 mg/ L.

关键词

GF-5/鄱阳湖/叶绿素a/高光谱反演

Key words

GF-5/Poyang Lake/chlorophyll-a/hyperspectral inversion

分类

天文与地球科学

引用本文复制引用

邓实权,田礼乔,李建,陈晓玲,孙兆华,张琍,韦安娜..面向GF-5卫星高光谱传感器的浑浊水体叶绿素a浓度反演算法研究——以鄱阳湖为例[J].华中师范大学学报(自然科学版),2018,52(3):409-415,7.

基金项目

国家重点研发计划项目(2018yFB05044904) (2018yFB05044904)

高分辨率对地观测系统重大专项项目(41-Y20A31-9003-15/17) (41-Y20A31-9003-15/17)

国家自然科学基金项目(41571344 ()

41331174 ()

41701379 ()

41071261 ()

40906092 ()

40971193 ()

41101415 ()

41401388 ()

41206169 ()

41406205) ()

国家重点研发计划项目(2016YFC0200900) (2016YFC0200900)

江西省自然科学基金项目(20161BAB213074). (20161BAB213074)

华中师范大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1000-1190

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