基于Landsat-8数据南海近岸悬浮泥沙与叶绿素a浓度定量反演
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Quantitative inversion of nearshore suspended sediment and chlorophyll-a concentration based on Landsat-8 data in South China Sea
  • 作者:孟凡晓 ; 陈圣波 ; 张国亮 ; 范宪创
  • 英文作者:MENG Fan-xiao;CHEN Sheng-bo;ZHANG Guo-liang;FAN Xian-chuang;College of Geo-exploration Science and Technology,Jilin University;
  • 关键词:Landsat-8 ; 悬浮泥沙 ; 叶绿素a ; 估算模型 ; 空间分布
  • 英文关键词:Landsat-8;;suspended sediment;;chlorophyll-a;;estimation model;;spatial distribution
  • 中文刊名:SJDZ
  • 英文刊名:Global Geology
  • 机构:吉林大学地球探测科学与技术学院;
  • 出版日期:2017-06-25
  • 出版单位:世界地质
  • 年:2017
  • 期:v.36
  • 基金:乐东工区遥感地质解译和国家地质矿产调查评价项目(1212011087112)
  • 语种:中文;
  • 页:SJDZ201702029
  • 页数:9
  • CN:02
  • ISSN:22-1111/P
  • 分类号:292-299+318
摘要
为了对南海近岸海域海水悬浮泥沙与叶绿素a进行浓度估算,基于Landsat-8数据确定悬浮泥沙与叶绿素a的敏感波段并构建估算模型。结果表明,Landsat-8数据第一、二、四波段对悬浮泥沙浓度较为敏感,第一、二、三波段对叶绿素a浓度较为敏感,而以上单波段仍不能单独用于准确提取该区悬浮泥沙与叶绿素a,故建立多种形式的统计模型。由第一、二、四波段线性组合形成的悬浮泥沙浓度反演模型的相关系数达到0.904,平均相对误差为10.24%,反演精度为89.76%。由第一、二、三波段线性组合形成的叶绿素a浓度反演模型的相关系数达到0.886,平均相对误差为11.27%,反演精度为88.73%。
        In order to estimate the nearshore suspended sediment concentration and the concentration of chlorophyll--a in South China Sea,the authors determined their sensitive wave bands and built the experience models based on Landsat--8 data.The results showed that Band 1,Band 2 and Band 4 in Landsat-8 data were sensitive to suspended sediment,and Band 1,Band 2 and Band 3 were sensitive to chlorophyll-a.However,the single-band model was not accurate enough to retrieve the concentration of suspended sediment or chlorophyll-a,therefore,a combination estimation model was established.The correlation coefficient,average relative error and inversion accuracy of suspended sediment concentration inversion model using Band 1,Band 2 and Band 4 were 0.904,10.24% and 89.76%,respectively.The correlation coefficient,average relative error and inversion accuracy of chlorophyll--a concentration inversion model using Band 1,Band 2 and Band 3 were 0.886,11.27% and88.73%,respectively.
引文
[1]王旭楠,陈圣波,吕航,等.遥感监测水质参数的方法概述[J].吉林大学学报:地球科学版,2007,37(增刊):189-193.WANG Xu-nan,CHEN Sheng-bo,LHang,et al.The means of water quality monitoring in remote sensing[J].Journal of Jilin University:Earth Science Edition,2007,37(Suppl.):189-193.
    [2]张穗,陈慧娟,陈鹏霄.长江口水体表层泥沙含量遥感监测研究[J].长江科学院院报,2005,22(5):23-25.ZHANG Sui,CHEN Hui-juan,CHEN Peng-xiao.Analysis on suspended sediment of Changjiang estuary by remote sensing[J].Journal of Yangtze River Scientific Research Institute,2005,22(5):23-25.
    [3]许君,方红亮,傅肃性,等.运用SPOT数据进行河流水体悬浮固体浓度的研究:以台湾淡水河为例[J].遥感技术与应用,1999,14(4):17-22.XU Jun,FANG Hong-liang,FU Su-xing,et al.Estimating suspended sediment concentrations from SPOT image:a case study in Danshuihe,Taiwan[J].Remote Sensing Technology and Application,1999,14(4):17-22.
    [4]王旭楠,陈圣波,宁亚灵,等.基于ASTER数据的石头口门水库水质参数定量遥感反演[J].世界地质,2008,27(1):105-109.WANG Xu-nan,CHEN Sheng-bo,NING Ya-ling,et al.Quantitative remote sensing inversion method of water quality in Shitoukoumen reservoir parameter based on ASTER data[J].Global Geology,2008,27(1):105-109.
    [5]胡雯,吴文玉,孔庆欣,等.FY-1C/CAVHRR数据估算巢湖蓝藻叶绿素的含量[J].南京气象学院学报,2002,25(1):124-128.HU Wen,WU Wen-yu,KONG Qing-xin,et al.Research on estimating the concentrations of Chlorophyll-a in Chaohu Lake using FY-IC/CAVHRR data[J].Journal of Nanjing Institute Meteorology,2002,25(1):124-128.
    [6]张鸽,黄方,龚绍琦,等.基于FY-3A/MERSI数据和支持向量机的太湖水体悬浮物浓度遥感模型[J].东北师大学报:自然科学版,2016,48(1):148-153.ZHANG Ge,HUANG Fang,GONG Shao-qi,et al.Estimation of suspended solids concentration at the Taihu Lake using FY-3A/MERSI data[J].Journal of Northeast Normal University:Natural Science Edition,2016,48(1):148-153.
    [7]朱利,李云梅,赵少华,等.基于GF-1号卫星WFV数据的太湖水质遥感监测[J].国土资源遥感,2015,27(1):113-120.ZHU Li,LI Yun-mei,ZHAO Shao-hua,et al.Remote sensing monitoring of Taihu Lake water quality by using GF-1 satellite WFV data[J].Remote Sensing for Land and Resources,2015,27(1):113-120.
    [8]程乾,刘波,李婷,等.基于高分1号杭州湾河口悬浮泥沙浓度遥感反演模型构建及应用[J].海洋环境科学,2014,34(3):558-563.CHENG Qian,LIU Bo,LI Ting,et al.Research on remote sensing retrieval of suspended sediment concentration in Hangzhou Bay by GF-1 satellite[J].Marine Environmental Science,2014,34(3):558-563.
    [9]王林,杨建洪,李冠男,等.江苏近岸海域HJ CCD影像悬浮泥沙遥感反演[J].海洋科学,2014,40(2):77-83.WANG Lin,YANG Jian-hong,LI Guan-nan,et al.Retrieval of suspended sediment concentration from HJ-CCD imagery in Jiangsu coastal sea[J]Marine Sciences,2014,40(2):77-83.
    [10]丛丕福.水色遥感机理与悬浮泥物的卫星遥感信息识别研究:硕士学位论文[D].大连:大连海事大学,2002.CONG Pi-fu.Water-color remote sensing principle and retrieval of suspended sediment concentration with satellite remote sensing method:master's degree thesis[D].Dalian:Dalian Maritime University,2002.
    [11]Klemas V,Bartlett D,Philpot W,et al.Coastal and estuarine studies with ERTS-1 and Skylab[J].Remote Sensing of Environment,1974,3(3):153-177.
    [12]Carpenter D J,Carpenter S M.Modeling inland water quality using Landsat data[J].Remote Sensing of Environment,1983,13(4):345-352.
    [13]Verdin J P.Monitoring water quality conditions in a large western reservoir with Landsat imagery[J].Photogrammetric Engineering and Remote Sensing,1985,51(3):343-353.
    [14]Lathrop R G.Landsat thematic mapper monitoring of turbid inland water quality[J].Photogrammetric Engineering and Remote Sensing,1992,53(4):465-470.
    [15]Tassan S.A numerical model for the detection of sediment concentration in stratified river plumes using thematic mapper data[J].International Journal o f Remote Sensing,1997,18(12):2699-2705.
    [16]邓孺孺,何执兼,陈晓翔,等.珠江口水域水污染遥感定量分析[J].中山大学学报:自然科学版,2002,41(3):99-103.DENG Ru-ru,HE Zhi-jian,CHEN Xiao-xiang,et al.Quantitative analysis on water pollution in the Pearl River estuary by remote sensing method[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2002,41(3):99-103.
    [17]李云梅,黄家柱,陆皖宁,等.基于分析模型的太湖悬浮物浓度遥感监测[J].海洋与湖沼,2006,37(2):171-177.LI Yun-mei,HUANG Jia-zhu,LU Wan-ning,et al.Model-based remote sensing on the concentration of suspended sediments in Taihu Lake[J].Oceanologia et Limnologia Sinica,2006,37(2):171-177.
    [18]张毅博,张运林,査勇,等.基于Landsat-8影像估算新安江水库总悬浮物浓度[J].环境科学,2015,36(1):57-63.ZHANG Yi-bo,ZHANG Yun-lin,ZHA Yong,el at.Remote sensing estimation of total suspended matter concentration in Xin'anjiang Reservoir using Landsat-8 Data[J].Environmental Science,2015,36(1):57-63.
    [19]The Geographical Location of the South China Sea[EB/OL].2012/04/27http://www.takungpao.com/military/content/2012-04/27/content_59186.htm.
    [20]Vermote E F,TanréD,Deuze J L,et al.Second simulation of the satellite signal in the solar spectrum,6S:an overview[J].IEEE Transactions on Geosciences and Remote Sensing,1997,35(3):675-686.
    [21]Zhao W J,Tamura M,Takahashi H.Atmospheric and spectral corrections for estimating surface albedo from satellite data using 6S code[J].Remote Sensing of Environment,2001,76(2):202-212.
    [22]Burns P,Nolin A.Using atmospherically-corrected Landsat imagery to measure glacier area change in the Cordillera Blanca,Peru from 1987 to 2010[J].Remote Sensing of Environment,2014,140(1):165-178.
    [23]刘大召,付东洋,沈春燕,等.河口及近岸二类水体悬浮泥沙遥感研究进展[J].海洋环境科学,2010,29(4):611-616.LIU Da-zhao,FU Dong-yang,SHEN Chun-yan,et al.Study advances on remote sensing of suspended sediment in estuaries and coastal caseⅡwater[J].Marine Environmental Science,2010,29(4):611-616.
    [24]熊竹,丁世敏,肖红艳,等.水体中叶绿素a浓度遥感反演的算法研究进展[J].中国西部科技,2015,14(10):16-20.XIONG Zhu,DING Shi-min,XIAO Hong-yan,et al.Progress of algorithms research on remote sensing retrieval of Chlorophyll-a concentration in water body[J].Science and Technology of West China,2015,14(10):16-20.
    [25]王颖.海南岛海岸环境特征[J].海洋地质动态,2002,18(3):1-9.WANG Ying.Features of Hainan island coastal environment[J].Marine Geology Frontiers,2002,18(3):1-9.
    [26]王雨,林茂,陈兴群,等.海南西部近岸浮游植物的周年变化及主要关联因素[J].水生生物学报,2012,36(4):724-734.WANG Yu,LIN Mao,CHEN Xing-qun,et al.Annual variation on phytoplankton in coastal waters of western Hainan Island and related affecting factors[J].Acta Hydrobiologica Sinica,2012,36(4):724-734.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700