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REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (s1) : 144-150     DOI: 10.6046/gtzyyg.2017.s1.24
Orginal Article |
Remote sensing ecological environment survey of county area based on ZY1-02C: A case study of Puge County
GAO Hui, ZHANG Jinghua, ZHANG Jianlong
Chengdu Institute of Geology and Mineral Resources, Chengdu 610081, China
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Abstract  With ZY1-02C as the main data source, the authors carried out the county area’s ecological environment remote sensing survey in Puge Country, Sichuan Province, selected five evaluation indicators to analyze the biological, vegetation, water, land and environmental pollution in the area,which included biological abundance index, vegetation index, water density index, land degradation index, and environment quality evaluation index, and set up land use signs with the first class remote sensing interpretation sign for ZY1-02C. The results of remote sensing survey are mainly used in the establishment of bioabundance index and vegetation cover index. The evaluation results show that ecological environment index (EI) of Puge is 82.08, the evaluation level is excellent, and the overall ecological environment is good. The county ecological environmental quality assessment method can accurately, truthfully and effectively reflect the situation of county ecological environment. Due to using of domestic satellite, the data acquisition and cost reduction become very easy. Survey results show that ZY1-02C can be very good in satisfying the requirements of county ecological environment remote sensing investigation.
Keywords Yancheng coastal zone      land use changes      ecological environment      remote sensing     
Issue Date: 24 November 2017
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ZHAN Yating
ZHU Yefei
SU Yiming
CUI Yanmei
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ZHAN Yating,ZHU Yefei,SU Yiming, et al. Remote sensing ecological environment survey of county area based on ZY1-02C: A case study of Puge County[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 144-150.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.s1.24     OR     https://www.gtzyyg.com/EN/Y2017/V29/Is1/144
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