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	RETRIEVAL OF CANOPY WATER CONTENT USING A NEW SPECTRAL AREA INDEX METHOD
	Zheng, Xiaopo ; Ren, Huazhong ; Qin, Qiming ; Wu, Ling ; Gao, Zhongling ; Sun, Yuejun ; Wang, Jianhua ; Ye, Xin
	2015
关键词	Hyperspectral Canopy water content Vegetation water index Spectral Area Index HYPERSPECTRAL INDEXES MODIS VEGETATION LEAF STRESS CORN
英文摘要	Canopy water content (CWC) is one of the most important biochemical properties of plants, which can be estimated from remote sensing data conveniently by using vegetation water indices. This paper started from the analysis of some existing indices and then proposed two novel indices to estimate CWC. First, the area under part of near infrared and shortwave infrared reflectance curve were calculated. Then two indices, Area-based Normalized Index (ABNI) and Area-Based Ratio Index (ABRI) were developed by using ratio method and normalization method, respectively. From the validation results, the new indices were found to exponentially correlate with CWC more significantly than some classical indices, and the determination coefficient (R-2) and root mean square error (RMSE) of the new method were 0.89 and 0.04, which indicated that the novel indices provided a promising way to monitor CWC.; EI; CPCI-S(ISTP); qmqinpku@163.com; 3333-3336; 2015-November
语种	英语
出处	2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
DOI标识	10.1109/IGARSS.2015.7326532
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436495]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Zheng, Xiaopo,Ren, Huazhong,Qin, Qiming,et al. RETRIEVAL OF CANOPY WATER CONTENT USING A NEW SPECTRAL AREA INDEX METHOD. 2015-01-01.

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