Research on Vegetation Ecologic Quality Index of Rocky Desertification in Karst Area of Guangxi Province Based on NPP and Fractional Vegetation Cover Since 2000 - Computer and Computing Technologies in Agriculture XI Access content directly
Conference Papers Year : 2019

Research on Vegetation Ecologic Quality Index of Rocky Desertification in Karst Area of Guangxi Province Based on NPP and Fractional Vegetation Cover Since 2000

Abstract

Karst rocky desertification is a kind of special and complicated surface form. Study established the Net primary productivity (NPP) estimation model based on the use of solar energy utilization of remote sensing data model in rocky desertification region of Guangxi province and the fractional vegetation cover (VFC) is obtained by the method of sub-pixel decomposition model. The comprehensive analysis method was used to establish vegetation ecologic quality index by using NPP and fractional vegetation cover to monitor the Rocky Desertification in the study area from 2000 to 2016, and mapping vegetation ecologic quality index grade classification. Results show that: (1) In 2016, vegetation ecologic quality index in rocky desertification region of Guangxi province is 87.6, the highest since 2000. Hechi city is the best in Guangxi Province. (2) From 2000 to 2016, vegetation ecologic quality index annual growth has a 1.04, the highest is 87.6 (in 2016) and the lowest is 63 (in 2004). The ecological restorations and environmental control projects have achieved remarkable results. (3) Great grade, Good grade and normal grade areas can account for 94.5%. And vegetation ecologic quality index decreased obviously in some relative development regions, such as Guilin city and Hezhou city.
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hal-02111525 , version 1 (26-04-2019)

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Xin Yang, Haihong Huang, Shuan Qian, Hao Yan. Research on Vegetation Ecologic Quality Index of Rocky Desertification in Karst Area of Guangxi Province Based on NPP and Fractional Vegetation Cover Since 2000. 11th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Aug 2017, Jilin, China. pp.225-230, ⟨10.1007/978-3-030-06179-1_23⟩. ⟨hal-02111525⟩
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