文献类型: 会议论文
第一作者: Yongan Xue
作者: Yongan Xue 1 ; Jinling Zhao 2 ; Mingmei Zhang 3 ;
作者机构: 1.College of Mining Engineering, Taiyuan University of Technology,Taiyuan,Shanxi,China
2.Beijing Academy of Agriculture and Forestry Sciences institute of Remote Sensing Applications, Chinese Academy of Sciences National Engineering Research Center for Information Technology in Agriculture, Beijing, China
3.College of Mining Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, China
关键词: CBERS;Vietnam;land cover;LCCS;remote sensing
会议名称: International conference on cooperation and promotion of information resources in science and technology
主办单位:
页码: 49-53
摘要: Remote sensing provides an effective measure for monitoring global and regional land cover information. However, the existing land cover systems were just put forward for certain purposes. It is very necessary to construct a reliable and universal land cover classification system based on remote sensing data-sets. In this paper, the comprehensive analysis of universal land cover classification system (LCCS) developed by FAO/UNEP (Food and Agriculture Organization/United Nations Environmental Programme) was first made. Then, fifteen land cover types of Vietnam were defined by LCCS software package from FAO combined with the resolution of CBERS data. Last but not the least, definition of each type was also specified. This research can prove the flexibility and effectiveness of LCCS and offers a case study for CBERS data applied in world reassures research.
分类号: G203`G203
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[2]Characterizing spatiotemporal dynamics of land cover with multi-temporal remotely sensed imagery in Beijing during 1978-2010. Zhao, Jinling,Huang, Linsheng,Zhang, Dongyan,Guo, Wei,Huang, Wenjiang,Yang, Hao,Yuan, Lin. 2014
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[8]Quick image processing method of HJ satellites applied in agriculture monitoring. Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong,Yu Haiyang,Liu Yanmei,Yang Guijun,Yang Xiaodong. 2016
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[11]Spatial decision supporting for winter wheat irrigation and fertilizer optimizing in North China Plain. Yang Xiaodong,Yang Hao,Dong Yansheng,Yu Haiyang. 2014
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