NDLI: Study on estimating pigment contents in canopy of chinese fir under disease stress based on hyperspectral data

Content Provider	IEEE Xplore Digital Library
Author	Li Hongjun Tan Yimin Zang Zhuo Liu Junang Liu Qianli Zhou Guoying
Copyright Year	2014
Description	Author affiliation: Key Lab. of Forestry Biotechnol. Hunan Province, Central South Univ. of Forestry & Technol., Changsha, China (Li Hongjun; Tan Yimin; Zang Zhuo; Liu Junang; Liu Qianli; Zhou Guoying)
Abstract	Using hyperspectral technology to test canopy of the fir which was damaged by the anthracnose, exploring and built the hyper-spectral estimation models of the pigment content in canopy of Chinese fir under the disease stress, the results will promote the application of the hyper-spectral remote sensing-technology in the forest pest and disease monitoring. From May to July in 2012, You Xian, Hunan Province, we investigated the anthracnose of Chinese fir, and measured the canopy pigment content and the spectral reflectance of the Chinese fir which was damaged by the anthracnose. The correlation between pigment contents of fir leaves with spectra reflectance, the first derivative of reflectance and spectral characteristic parameters were analyzed respectively. The result showed that the visible light and near-infrared region were the sensitive region which were reflected and absorbed by the pigment in disease of Chinese fir; pigment content had the highest correlation with the first order differential spectra in red edge (695-754 nm), and the correlation coefficient of single band first order differential spectrum in 741 nm was the largest. And it also showed that the accuracy of Chla+b, Chla and Chlb contents was the highest estimated by power function model which used the difference vegetation index DVI [FD587,FD741] as the variable, the relative errors were less than 15%, the RMS error was in the range of 0.093 to 0.241.
Starting Page	423
Ending Page	427
File Size	300574
Page Count	5
File Format	PDF
e-ISBN	9781479941841
DOI	10.1109/EORSA.2014.6927926
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reflectivity estimation Correlation Hyperspectral sensors disease stress Estimation Hyperspectral Pigments Chinese fir pigment content Diseases
Content Type	Text
Resource Type	Article

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