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

被引：0
作者：
Guo D. [1 ,2 ]
Li S. [1 ]
Chen Z. [3 ]
Wang L. [2 ]
机构：
[1] China Academy of Space Technology, Beijing
[2] Major and Special Engineering Center, State Administration of Science, Technology and Industry for National Defense, Beijing
[3] School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu
来源：
National Remote Sensing Bulletin | 2022年 / 26卷 / 03期
关键词：
Fuzzy analytic hierarchy process; High-resolution earth observation; Nature resource investigation; Requirement integrate; Requirement satisfaction ratio;
D O I：
10.11834/jrs.20210323
中图分类号：
学科分类号：
摘要：
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. © 2022, Science Press. All right reserved.
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页码：579 / 587
页数：8
相关论文
共 22 条
  • [1] Fang C, Hu F, Chen X, Zhu Z Y, Liu Y Q, Ye Q., Advances in application of remote sensing to natural resources, Resources Environment and Engineering, 33, 4, pp. 563-569, (2019)
  • [2] Gu X F, Zhou X, Zhang S M, Et al., Asia- Oceania GEOSS: A GEO initiative to implement GEOSS for sustainable development in Asia- Oceania, Journal of Remote Sensing, 22, 4, pp. 658-671, (2018)
  • [3] Guo R Z, Hu F, Tang X M., Research on internationalization development strategy of high resolution satellite remote sensing industry, China Soft Science, 11, pp. 1-9, (2018)
  • [4] Liang G L, Zhou X J, Wang Y Q., Efficiency evaluation research on ground system of remote sensing satellite based on ADC model, Command Control and Simulation, 40, 5, pp. 62-68, (2018)
  • [5] Liu F., Research on Evaluation Method for Mission Effectiveness of Remote Sensing Satellite System, (2017)
  • [6] Liu J Y, Sun Y T, Xing R Y, Wang H, Li X C., Effectiveness evaluation of early warning satellite system for multi-missions, Aerospace Shanghai, 36, 1, pp. 10-15, (2019)
  • [7] Liu L, Xu Y S, Ma Z X., A survey to data preprocessing in data mining, Journal of Gansu Sciences, 15, 1, pp. 117-119, (2003)
  • [8] Liu L Q, Ding Q L, Zhang T F, Chen J., Data pretreatment method of fuzzy C-means clustering effects, Electric Power Science and Engineering, 27, 8, pp. 24-27, (2011)
  • [9] Ma W Q, Zhang X Q, Cui Q F, Huo G Q., Study of Multi-User's Earth Observation Satellite Requirements Integrated Preprocessing Model, Bulletin of Surveying and Mapping, pp. 141-143, (2014)
  • [10] Mandal B, Mandal S., Analytical hierarchy process (AHP) based landslide susceptibility mapping of Lish river basin of eastern Darjeeling Himalaya, India, Advances in Space Research, 62, 11, pp. 3114-3132, (2018)
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