предыдущий|следующий

Assessing the satisfaction evaluation of high-resolution imaging satellite to the nature resource investigation

  • role： First author第一作者
  • Affiliation：

    China Academy of Space Technology, Beijing 100094, China

    Major and Special Engineering Center, State Administration of Science, Technology and Industry for National Defense, Beijing 100101, China

  • Email：guoding@263.net
  • Introduction：郭丁，研究方向为卫星对地观测效能评估。E-mail： guoding@263.net
GUO Ding12,  
  • Affiliation：

    China Academy of Space Technology, Beijing 100094, China

LI Shanshan1,  
  • Affiliation：

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China

CHEN Zongxin3,  
  • role： Corresponding author通信作者
  • Affiliation：

    Major and Special Engineering Center, State Administration of Science, Technology and Industry for National Defense, Beijing 100101, China

  • Email：13520150388@163.com
  • Introduction：王力，研究方向为信息管理与信息系统。E-mail： 13520150388@163.com
WANG Li2*

реферат

All kinds of data resources and application methods of High-resolution Earth Observation applications lead to many problems. How to integrate and clustering the different demands, and how to evaluate the demand satisfaction is the key to the construction of the High-resolution Earth Observation system.The present paper study the requirements modeling and evaluation of nature resources investigation using analytic hierarchy process. The demand of nature resources investigation for VNIR are selected as the focus of this study. Firstly, the common demands of nature resources investigation are extracted and then demand model are established using demand for four-element model. Secondly, the condensation level algorithm is used to integrate the nature resources investigation demand for the High-resolution Earth Observation. Thirdly, the demand satisfaction of High-resolution Satellite to the nature resources investigation are evaluated using the fuzzy analytic hierarchy process.The results show that the demand satisfaction of demand cluster except biomass estimation, desertification monitoring and ecological capacity is greater than 8, and the good ratio of demand satisfaction is 88%.The High-resolution Earth Observation system can meet the need of most of the nature resource investigation, but the ability of ecological assessment for the High-resolution Earth Observation system should be enhanced.

ключеви́че слова́

high-resolution earth observation;nature resource investigation;requirement integrate;fuzzy analytic hierarchy process;requirement satisfaction ratio

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