Comparative analysis of long-term trends on fraction of vegetation coverage in grassland mining area

doi:10.13474/j.cnki.11-2246.2019.0267

Abstract

Abstract: The Hulunbeier area is a famous grassland area in the world. The fragile ecology there has attracted much attention for the influence of human activities and climate factors. This paper takes the Baorixile coal mine area in the heart of Hulunbeier as the study area to analyze the long-term trends on fraction of vegetation coverage(FVC) by maximum value composite method based on NDVI data from 1985 to 2015. The two methods, linear regression and Sen+Mann-Kendall trend, are used to monitor the long-term tendency on FVC spatial and temporal variation. The results show that FVC change trends obtained by the two methods are basically the same. The Sen+Mann-Kendall method is comparatively more sensitive to the improvement and degradation of vegetation coverage than the one-dimensional linear regression method. The study and its results will do help on scientifically evaluating the impact of long-term coal mining and other human activities on land ecology and provide a reference for method choosing on long-term vegetation change monitoring.

Key words: fraction of vegetation coverage, pixel decomposition model, linear regression, Sen+Mann-Kendall, grassland mining area

CLC Number:

P208

LI Jing, CUI Lüyuan, YAN Xiaoxiao, YANG Zhen, DONG Jinwei, DENG Xiaojuan. Comparative analysis of long-term trends on fraction of vegetation coverage in grassland mining area[J]. 测绘通报, 2019, 0(8): 130-134,157.

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