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环境灾害遥感小卫星在辽河三角洲湿地景观制图中的应用
引用本文:杨元征,常禹,胡远满,刘淼,李月辉.环境灾害遥感小卫星在辽河三角洲湿地景观制图中的应用[J].应用生态学报,2011,22(6):1552-1558.
作者姓名:杨元征  常禹  胡远满  刘淼  李月辉
作者单位:1. 中国科学院沈阳应用生态研究所,沈阳110016;中国科学院研究生院,北京100049
2. 中国科学院沈阳应用生态研究所,沈阳,110016
基金项目:环境与灾害监测预报小卫星星座环境应用系统建设项目(09H029W39); 辽河流域水环境风险评估与预警监控平台构建技术示范研究项目(2009ZX07528-006-04)资助
摘    要:及时、准确地获得湿地的空间分布,对湿地的动态监测、保护与可持续利用具有重要的意义.环境灾害遥感小卫星星座A、B星(HJ-1A/1B星)是我国自主发射的陆地资源监测卫星,可为湿地类型的提取提供新的遥感影像数据源.本文通过对比我国环境灾害遥感小卫星CCD相机影像(HJ CCD)数据与Landsat TM5影像数据获取的湿地景观类型图的分类精度和各景观类型面积,验证和探究了HJ CCD数据在湿地景观动态变化监测中的适用性和应用潜力.结果表明:HJ CCD数据在地物识别分类方面可完全替代Landsat TM5数据;在实时动态监测方面,HJ CCD数据获取周期仅为2 d,优于Landsat TM5数据(16 d).

关 键 词:湿地景观分类  HJ  CCD数据  Landsat  TM5数据  精度评估  适用性

Application of small remote sensing satellite constellations for environmental hazards in wetland landscape mapping: taking Liaohe Delta, Liaoning Province of Northeast China as a case
Yang Yuan-Zheng,Chang Yu,Hu Yuan-Man,Liu Miao,Li Yue-Hui.Application of small remote sensing satellite constellations for environmental hazards in wetland landscape mapping: taking Liaohe Delta, Liaoning Province of Northeast China as a case[J].Chinese Journal of Applied Ecology,2011,22(6):1552-1558.
Authors:Yang Yuan-Zheng  Chang Yu  Hu Yuan-Man  Liu Miao  Li Yue-Hui
Institution:YANG Yuan-zheng1,2,CHANG Yu1,HU Yuan-man1,LIU Miao1,LI Yue-hui1(1Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang 110016,China,2Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
Abstract:To timely and accurately acquire the spatial distribution pattern of wetlands is of significance for the dynamic monitoring,conservation,and sustainable utilization of wetlands.The small remote sensing satellite constellations A/B stars(HJ-1A/1B stars) for environmental hazards were launched by China for monitoring terrestrial resources,which could provide a new data source of remote sensing image acquisition for retrieving wetland types.Taking Liaohe Delta as a case,this paper compared the accuracy of wetl...
Keywords:wetland landscape classification  HJ CCD data  Landsat TM5 data  accuracy assessment  applicability  
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