Paper Info
Title
Retrieval Of Canopy Water Content Using A New Spectral Area Index Method
Abstract
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.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Hyperspectral, Canopy water content, Vegetation water index, Spectral Area Index
Field
DocType
ISSN
Vegetation,Normalization (statistics),Computer science,Near-infrared spectroscopy,Remote sensing,Shortwave,Mean squared error,Hyperspectral imaging,Water content,Canopy
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
1
Authors
8
Name
Order
Citations
PageRank
Xiao Po Zheng102.03
Huazhong Ren27323.56
Qiming Qin301.01
Ling Wu401.69
Zhongling Gao500.68
Yuejun Sun600.68
Jianhua Wang732.77
Xin Ye8258.36