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	High-resolution remote sensing mapping of global land water
	LIAO AnPing ; CHEN LiJun ; CHEN Jun ; HE ChaoYing ; CAO Xin ; CHEN Jin ; PENG Shu ; SUN FangDi ; GONG Peng ; LIAO AnPing ; CHEN LiJun ; CHEN Jun ; HE ChaoYing ; CAO Xin ; CHEN Jin ; PENG Shu ; SUN FangDi ; GONG Peng
	2016-03-30 ; 2016-03-30
关键词	global land cover land surface water 30 m resolution classification method remote sensing mapping P237 P331
其他题名	High-resolution remote sensing mapping of global land water
中文摘要	Land water, one of the important components of land cover, is the indispensable and important basic information for climate change studies, ecological environment assessment, macro-control analysis, etc. This article describes the overall study on land water in the program of global land cover remote sensing mapping. Through collection and processing of Landsat TM/ETM+, China's HJ-1 satellite image, etc., the program achieves an effective overlay of global multi-spectral image of 30 m resolution for two base years, namely, 2000 and 2010, with the image rectification accuracy meeting the requirements of 1:200000 mapping and the error in registration of images for the two periods being controlled within 1 pixel. The indexes were designed and selected reasonably based on spectral features and geometric shapes of water on the scale of 30 m resolution, the water information was extracted in an elaborate way by combining a simple and easy operation through pixel-based classification method with a comprehensive utilization of various rules and knowledge through the object-oriented classification method, and finally the classification results were further optimized and improved by the human-computer interaction, thus realizing high-resolution remote sensing mapping of global water. The completed global land water data results, including Global Land 30-water 2000 and Global Land 30-water 2010, are the classification results featuring the highest resolution on a global scale, and the overall accuracy of self-assessment is 96%. These data are the important basic data for developing relevant studies, such as analyzing spatial distribution pattern of global land water, revealing regional difference, studying space-time fluctuation law, and diagnosing health of ecological environment.; Land water, one of the important components of land cover, is the indispensable and important basic information for climate change studies, ecological environment assessment, macro-control analysis, etc. This article describes the overall study on land water in the program of global land cover remote sensing mapping. Through collection and processing of Landsat TM/ETM+, China's HJ-1 satellite image, etc., the program achieves an effective overlay of global multi-spectral image of 30 m resolution for two base years, namely, 2000 and 2010, with the image rectification accuracy meeting the requirements of 1:200000 mapping and the error in registration of images for the two periods being controlled within 1 pixel. The indexes were designed and selected reasonably based on spectral features and geometric shapes of water on the scale of 30 m resolution, the water information was extracted in an elaborate way by combining a simple and easy operation through pixel-based classification method with a comprehensive utilization of various rules and knowledge through the object-oriented classification method, and finally the classification results were further optimized and improved by the human-computer interaction, thus realizing high-resolution remote sensing mapping of global water. The completed global land water data results, including Global Land 30-water 2000 and Global Land 30-water 2010, are the classification results featuring the highest resolution on a global scale, and the overall accuracy of self-assessment is 96%. These data are the important basic data for developing relevant studies, such as analyzing spatial distribution pattern of global land water, revealing regional difference, studying space-time fluctuation law, and diagnosing health of ecological environment.
语种	英语 ; 英语
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/145850]
专题	清华大学
推荐引用方式 GB/T 7714	LIAO AnPing,CHEN LiJun,CHEN Jun,et al. High-resolution remote sensing mapping of global land water[J],2016, 2016.
APA	LIAO AnPing.,CHEN LiJun.,CHEN Jun.,HE ChaoYing.,CAO Xin.,...&GONG Peng.(2016).High-resolution remote sensing mapping of global land water..
MLA	LIAO AnPing,et al."High-resolution remote sensing mapping of global land water".(2016).

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