DocumentCode
1914567
Title
Spectra Character Analysis of Picea Schrenkiana var.tianshanica in Western Tianshan Mountain
Author
Chen, Donghua ; Ma, Jianglin ; Zou, Chen ; Hu, Jianbin ; Li, Hu ; Wang, Suying ; Zhang, Xinshi
Author_Institution
Coll. of Resources Sci. & Technol., Beijing Normal Univ., Beijing, China
Volume
4
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
645
Lastpage
650
Abstract
The paper took Nileke forest farm in western Tianshan Mountain as the test site, the reflecting spectral curve of the typical plant was measured using the portable outdoor spectrum radiometer. The reflectance spectral characteristics of vegetation were analyzed. Using spectral differential technology, different age classes of Picea Schrenkiana var. tianshanica were studied. The spectral characteristic parameters of their original spectral curve and the first-order derivative spectra were extracted from visible light and near-infrared range. Accuracy factors of spectral feature extraction were analyzed. The analysis proved that it had common features with healthy green vegetation. It was more efficient to to identify the characteristics of different age-classes of Picea schrenkiana var. tianshanica and extract Picea schrenkiana var. tianshanica forest at near-infrared range by using the first-order derivative spectra.
Keywords
feature extraction; radiometry; vegetation; China; Nileke forest farm; Picea Schrenkiana var. tianshanica age classes; Schrenk spruce; first-order derivative spectra; portable outdoor spectrum radiometer; reflectance spectral characteristics; spectral curve; spectral differential technology; spectral feature extraction; visible light-near-infrared range; western Tianshan Mountain; Asia; Educational institutions; Feature extraction; Geography; Meteorology; Paper technology; Reactive power; Remote monitoring; Spectral analysis; Vegetation mapping; Picea Schrenkiana var.tianshanica; Reflecting spectral curve; Spectral character analysis; Spectral differential;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.870
Filename
5288381
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