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Journal of Applied Remote Sensing

Deriving vegetation fraction information for the alpine grassland on the Tibetan plateau using <italic<in situ</italic< spectral data
Author(s): Bo Liu; Weishou Shen; Naifeng Lin; Ru Li; Yuemin Yue
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Paper Abstract

Vegetation fraction (VF) is the indispensable factor involved in the assessment of land degradation in the inclement climate condition and harsh natural environment. Based on the analysis of an <italic<in situ</italic< spectral dataset of alpine grasslands on the Tibetan plateau, we assessed the performance of 28 widely used vegetation indices (VIs) and a spectral mixture analysis (SMA) model applied on the analytical spectral device and simulated enhanced thematic mapper (ETM)+ and Huan Jing (HJ)-1 data to select a method for retrieving VF there. The results show that simple VIs are competent for extracting VF information, and VIs with an extra blue band involved will produce a better performance. However, involvement of too many more bands does not yield much higher accuracy, indicated by the fact that hyperspectral VIs are not superior to multispectral ones in our case. The SMA model provides an acceptable accuracy as well but lower than that of VI regression. In addition, the normalized difference vegetation index (NDVI) values of vegetation and soil, generally, as the key parameter in the widely used NDVI-SMA model is obtained, and this would benefit the application of this model to derive VF of alpine grasslands on the Tibetan plateau with minimal or no need for field work support.

Paper Details

Date Published: 13 May 2014
PDF: 18 pages
J. Appl. Remote Sens. 8(1) 083630 doi: 10.1117/1.JRS.8.083630
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Bo Liu, Nanjing Institute of Environmental Sciences (China)
Weishou Shen, Nanjing Institute of Environmental Sciences (China)
Naifeng Lin, Nanjing Institute of Environmental Sciences (China)
Ru Li, Institute of Remote Sensing and Digital Earth (China)
Yuemin Yue, Institute of Subtropical Agriculture (China)


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