• ISSN 1004-0323     CN 62-1099/TP
• 联合主办：中国科学院遥感联合中心
• 中国科学院兰州文献情报中心
• 中国科学院国家空间科学中心
 遥感技术与应用  2020, Vol. 35 Issue (5): 1187-1196    DOI: 10.11873/j.issn.1004-0323.2020.5.1187
 遥感应用

1.中国科学院遥感与数字地球研究所，北京 100094
2.中国科学院大学，北京 100049
Study on the Model of Ecological Vulnerable Human-land System based on Big Data Analysis Framework
Chen Gong1,2(),Xinwu Li1(),Wenjin Wu1
1.Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences，Beijing 100049，China
2.University of Chinese Academy of Sciences，Beijing 100049，China
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Abstract:

To solve the problems of complex data processing， subjective model recognition and complex internal mechanism in the study of ecological vulnerable human-land system， a model analysis framework based on cloud platform and big data methods was proposed. Remote sensing and socio-economic cloud platform are used to collect and process data. Self-organizing mapping neural network clustering （SOM） method is used to recognize model without prior knowledge. The trajectories was analyzed from the perspective of social-economic development and ecological friendliness by using perceptual map， and the laws between social economy and ecological environment was selected by using association rules.The experimental analysis was carried out in 65 Belt and Road countries. The experimental results effectively divided 65 countries into 10 models， and analyzed the trajectories and relationship rules of 10 models. The results show that the framework can perform the functions of data acquisition and processing， multi-model recognition of human-land system， trajectories visualization and rules detection. It effectively makes up for the deficiencies in the multi-model study of human-land system.

Key words: Ecological vulnerable human-land system    SOM    Perceptual map    Association rules

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