Spatial heterogeneity monitoring of temporal variation of vegetation coverage in Shengli mining area

doi:10.13474/j.cnki.11-2246.2020.0344

Abstract

Abstract: By analyzing the geographical location and climatic conditions of the Shengli mining area, in order to get the spatial heterogeneity of the gain scheduling vegetation coverage, this paper uses ENVI, GIS, Matlab and other softwares, based on the Landsat TM/ETM+/OLI remote sensing data of the Shengli mining area from 1985 to 2017 to calculate NDVI, and the binary model is used to calculate the vegetation coverage to obtain the temporal changes of the average vegetation coverage in the study area. The transfer matrix method and Sen+Mann-Kendall method are used to analyze the transfer status and change trend of different levels of vegetation coverage in the study area. Conclusion: The average vegetation coverage in Shengli mining area fluctuates greatly and shows a slight downward trend. During the monitoring period, 68.36% of the areas with high vegetation coverage have degraded, and only about 3.2% of the areas with very low vegetation coverage have been improved. In addition, the vegetation coverage in the study area is affected by structural factors and randomness factors. The spatial heterogeneity is obvious. The vegetation in the irrigation area grows well due to human interference. The extremely low vegetation coverage area is maintained below 3%, and the areas that vegetation coverage decreases significantly is mainly concentrated in mining landscape areas such as open pits and dumps.

Key words: vegetation coverage, spatial heterogeneity, pixel binary model, Sen+Mann-Kendall method

CLC Number:

P237

WANG Kewen, LI Jing, WANG Ruiguo, FU Xiao. Spatial heterogeneity monitoring of temporal variation of vegetation coverage in Shengli mining area[J]. Bulletin of Surveying and Mapping, 2020, 0(11): 1-6.

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