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国土资源遥感  2013, Vol. 25 Issue (1): 1-6    DOI: 10.6046/gtzyyg.2013.01.01
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社区遥感:一种地学应用新技术
李万伦
中国地质图书馆,北京 100083
Community remote sensing: A new approach to geoscience applications
LI Wanlun
National Geological Library of China, Beijing 100083, China
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摘要 

作为一种遥感应用新机制,社区遥感(community remote sensing,CRS)是一种以人为主体的新型遥感手段,其主要特点就是利用人的优势,有效地弥补传统遥感监测设备的不足。在广泛收集和研究国外相关文献资料基础上,介绍了国外近年来出现的CRS新技术的发展现状,并从主要研究内容、技术方法、应用领域及未来前景等方面探讨了CRS在地学领域的应用潜力。尽管CRS应用刚刚起步,尚存在许多问题,但已开展的研究项目和应用实践充分证明了其巨大的潜力。近年来,CRS在生态监测、灾害响应等方面的应用已取得了重要进展,而在地学方面的应用还很少,但未来发展空间很大。CRS作为地学应用的新领域,可能会影响未来10 a地学应用新技术的发展,应当受到充分的重视。

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关键词 集对分析K-均值聚类算法同异反联系度遥感图像    
Abstract

Community remote sensing (CRS),a new approach to the application of remote sensing,is a human-based remote sensing technique. With activities of volunteers, this technique can compensate effectively for the disadvantage of traditional monitoring equipment of remote sensing. Based on abundant literatures of related topics,the authors described the status of the development of CRS that emerged in recent years,and discussed its potential for geoscience applications in such aspects as primary research contents,adopted techniques,application field and future prospect. The research indicates that, although the application of CRS has just started and is met with many problems,the carried-out-projects and applying practices have fully proved its great potential. In recent years,CRS has achieved important progress especially in such fields as ecosystem monitoring and disaster response. Its geoscience application, however, is relatively limited,showing a great space of developing in the future. CRS,as an emerging field of geoscience applications,might affect the future decadal development of new approaches to geosciences applications and hence deserves much attention.

Key wordsset pair analysis(SPA)    K-means clustering algorithm    identical discrepancy contrary(IDC)connection degree    remote sensing image
收稿日期: 2012-06-11      出版日期: 2013-02-21
:  TP79  
基金资助:

中国地质调查局地质调查项目"地质勘查遥感系统集成与综合应用示范"(编号:1212011120226)资助。

作者简介: 李万伦(1972-),男,理学博士,高级工程师,主要从事地学情报研究工作。E-mail:lunwl@sina.com。
引用本文:   
李万伦. 社区遥感:一种地学应用新技术[J]. 国土资源遥感, 2013, 25(1): 1-6.
LI Wanlun. Community remote sensing: A new approach to geoscience applications. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(1): 1-6.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2013.01.01      或      https://www.gtzyyg.com/CN/Y2013/V25/I1/1
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