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China's Wetland Databases Based on Remote Sensing Technology
F. Q. Yan, X. T. Liu, J. Chen, L. X. Yu, C. B. Yang, L. P. Chang, J. C. Yang and S. W. Zhang; Zhang SW(张树文)
2017
发表期刊Chinese Geographical Science
卷号27期号:3页码:374-388
摘要Wetland databases can provide the basic data that necessary for the protection and management of wetlands. A large number of wetland databases have been established in the world as well as in China. In this paper, we review China's wetland databases based on remote sensing (RS) technology after introducing the background theory to the application of RS technology in wetland surveys. A key conclusion is that China's wetland databases are far from sufficient in fulfilling protection and management needs. Our recommendations focus on the use of the hyper-spectral imagery, microwave data, multi-temporal images, and automatic classifications in order to improve the accuracy and efficiency of wetland inventory. Further, attention should also be paid to detect major biophysical features of wetlands and build wetland databases in years after the 1980s in China. Considering that great gap exists between RS experts and wetland experts, further cooperation between wetland scientists and RS scientists are needed to promote the application of RS in the foundation of wetland databases.
DOI10.1007/s11769-017-0872-z
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.iga.ac.cn/handle/131322/7638
专题湿地与全球变化学科组
通讯作者Zhang SW(张树文)
推荐引用方式
GB/T 7714
F. Q. Yan, X. T. Liu, J. Chen, L. X. Yu, C. B. Yang, L. P. Chang, J. C. Yang and S. W. Zhang,Zhang SW. China's Wetland Databases Based on Remote Sensing Technology[J]. Chinese Geographical Science,2017,27(3):374-388.
APA F. Q. Yan, X. T. Liu, J. Chen, L. X. Yu, C. B. Yang, L. P. Chang, J. C. Yang and S. W. Zhang,&张树文.(2017).China's Wetland Databases Based on Remote Sensing Technology.Chinese Geographical Science,27(3),374-388.
MLA F. Q. Yan, X. T. Liu, J. Chen, L. X. Yu, C. B. Yang, L. P. Chang, J. C. Yang and S. W. Zhang,et al."China's Wetland Databases Based on Remote Sensing Technology".Chinese Geographical Science 27.3(2017):374-388.
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