Research Papers

Deriving vegetation fraction information for the alpine grassland on the Tibetan plateau using in situ spectral data

[+] Author Affiliations
Bo Liu

Ministry of Environmental Protection, Nanjing Institute of Environmental Sciences, Nanjing 210042, China

Weishou Shen

Ministry of Environmental Protection, Nanjing Institute of Environmental Sciences, Nanjing 210042, China

Naifeng Lin

Ministry of Environmental Protection, Nanjing Institute of Environmental Sciences, Nanjing 210042, China

Ru Li

Chinese Academy of Sciences, The Institute of Remote Sensing and Digital Earth, Beijing 100101, China

Yuemin Yue

Chinese Academy of Sciences, Institute of Subtropical Agriculture, Changsha 410125, China

J. Appl. Remote Sens. 8(1), 083630 (May 13, 2014). doi:10.1117/1.JRS.8.083630
History: Received July 14, 2013; Revised March 3, 2014; Accepted March 5, 2014
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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 in situ 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.

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Citation

Bo Liu ; Weishou Shen ; Naifeng Lin ; Ru Li and Yuemin Yue
"Deriving vegetation fraction information for the alpine grassland on the Tibetan plateau using in situ spectral data", J. Appl. Remote Sens. 8(1), 083630 (May 13, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.083630


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