干旱区生态环境知识资源中心(Arid): Study on LAI estimation of broadleaf forests in arid areas using digital hemispherical photography

Arid

DOI	10.1109/ESIAT.2009.308
	Study on LAI estimation of broadleaf forests in arid areas using digital hemispherical photography
	Ma Zhongguo; Chen Xi; Japper, Guli; Chang Cun
通讯作者	Ma Zhongguo
会议名称	International Conference on Environmental Science and Information Application Technology (ESIAT 2009)
会议日期	JUL 04-05, 2009
会议地点	Wuhan, PEOPLES R CHINA
英文摘要	The values of leaf area index (LAI) were optically measured with digital hemispherical photography in deciduous Populus euphratica Oliv forests in the Tarim River Basin, China, and then they are estimated and analyzed. Circular fisheye photography was compared with another alternative indirect method (cover photography) for estimating LAI,. The purpose of the study was to develop a practical estimation mode for measuring and estimating LAI in arid areas. The results derived by the rapid and automatic analysis of cover images using WinSCANOPY 2006 are similar to that derived by the manual image analysis using Adobe Photoshop. Estimated results of LAI from cover photography are more ideal than that from circular fisheye photography to correlate with LAI from destructive sampling.
英文关键词	leaf area index (LAI) hemispherical photography Populus euphratica WinSCANOPY
来源出版物	2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL II, PROCEEDINGS
出版年	2009
页码	375-378
ISBN	978-0-7695-3682-8
出版者	IEEE COMPUTER SOC
类型	Proceedings Paper
语种	英语
国家	Peoples R China
收录类别	CPCI-S
WOS记录号	WOS:000274010400092
WOS关键词	INDEX
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences
WOS研究方向	Computer Science ; Engineering ; Environmental Sciences & Ecology
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/297568
作者单位	Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
推荐引用方式 GB/T 7714	Ma Zhongguo,Chen Xi,Japper, Guli,et al. Study on LAI estimation of broadleaf forests in arid areas using digital hemispherical photography[C]:IEEE COMPUTER SOC,2009:375-378.