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Study on Vegetation Coverage Based on Binary Pixel Model

Ting Xu, Huaidong Ma, Wenrui Yao, Qingwang Wang

Abstract


Vegetation coverage (FVC) is an important indicator of ecosystem change and provides an indicator for the study of land cover
change. In this paper, taking Zhengzhou City as an example, the 2015 Landsat 8 OLI remote sensing images were used as data sources, normalized vegetation index (NDVI) was used as a parameter to extract information from the study area, and the pixel binary model was used to
calculate vegetation coverage. The results showed that the vegetation cover was higher in the west and lower in the east, and some forest land
was changed into cultivated land from west to east.

Keywords


Landsat 8 OLI remote sensing image; Land cover type; Pixel binary model

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References


[1] Cao Qianqian, Huang Yuansheng. Study on vegetation coverage extraction based on Landsat image [J]. Yinshan Journal (Natural Science Edition), 2017.

[2] ZHAO Guochen, Li Zhao, Han Zixiang. Dynamic change of vegetation coverage in Beipiao City based on pixel binary model [J]. Mapping and Spatial Geographic Information, 2019.

[3] Su Niyi, Wang Junfang, Gao Hongyong et al. Dynamic change monitoring of vegetation coverage in Huhetala grassland based on Remote sensing and GIS [J]. Grassland and Grassland Industry, 2018.

[4] Tian Kai. Application prospect of unmanned aerial vehicle in hydrological monitoring [J]. Modern Agricultural Technology, 2013.

[5] Shi Liangliang. Study on spatial-temporal change of vegetation coverage in Lushan County, China [D]. Sichuan Normal University, 2014.


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