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应用生态学报 ›› 2011, Vol. 22 ›› Issue (06): 1552-1558.

• 研究报告 • 上一篇    下一篇

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

杨元征1,2,常禹1**,胡远满1,刘淼1,李月辉1   

  1. 1中国科学院沈阳应用生态研究所, 沈阳 110016;2中国科学院研究生院, 北京 100049
  • 出版日期:2011-06-18 发布日期:2011-06-18

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-zheng1,2, CHANG Yu1, HU Yuan-man1, LIU Miao1, LI Yue-hui1   

  1. 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 2Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2011-06-18 Published:2011-06-18

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

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 wetland classification map and the area of each wetland type retrieved from CCD data (HJ CCD data) and TM5 data, and validated and explored the applicability and the applied potential of HJ CCD data in wetland resources dynamic monitoring. The results showed that HJ CCD data could completely replace Landsat TM5 data in feature extraction and remote sensing classification. In real-time monitoring, due to its 2 days of data acquisition cycle, HJ CCD data had the priority to Landsat TM5 data (16 days of data acquisition cycle).

Key words: wetland landscape classification, HJ CCD data, Landsat TM5 data, accuracy assessment, applicability