The responses of vegetation water content (EWT) along a coastal region using remote sensing

doi:10.1117/12.2058302

YIC-IR > 中国科学院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与战略规划研究中心

	The responses of vegetation water content (EWT) along a coastal region using remote sensing
	Gao, Zhiqiang(1,3); Wang, Tingting(2); Ning, Jicai(1); Gao, Wei(3); Gao, Zhiqiang
会议主办者	The Society of Photo-Optical Instrumentation Engineers (SPIE)
	2014
会议名称	Remote Sensing and Modeling of Ecosystems for Sustainability XI
卷号	9221
会议日期	August 18, 2014 - August 20, 2014
会议地点	San Diego, CA, United states
ISSN号	0277-786X
ISBN号	9781628412482
产权排序	(1) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China ; (2) Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences, China ; (3) USDA UV-B Monitoring and Research Program Center Remote Sensing Modeling Agricultural Sustainability, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins ; CO, United States
关键词	Remote Sensing Drought Monitoring Equivalent Water Thickness Land Surface Parameters Remote Sensing Data Responses Surface Covering Vegetation Water Content Water Stress Indices
摘要	This paper retrieved the vegetation water content EWT (equivalent water thickness) information and the relevant parameters for the land surface from full-band TM remote sensing data. The effects of surface water heat flux and surface covering on the EWT were analyzed via studies of the regional land cover status and the combined EWT with land surface parameters. This paper also analyzed the roles and limitations of EWT in drought monitoring combined with classification of the regional drought and regional water stress index (RWSI).
作者部门	海岸带信息集成与综合管理实验室
DOI	10.1117/12.2058302
收录类别	EI
语种	英语
引用统计
文献类型	会议论文
条目标识符	http://ir.yic.ac.cn/handle/133337/8820
专题	中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心中国科学院海岸带环境过程与生态修复重点实验室
通讯作者	Gao, Zhiqiang
推荐引用方式 GB/T 7714	Gao, Zhiqiang,Wang, Tingting,Ning, Jicai,et al. The responses of vegetation water content (EWT) along a coastal region using remote sensing[C]:SPIE,2014.

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