Spatiotemporal Changes of Vegetation Coverage in Inner Mongolia Based on the Dimidiate Pixel Model and Intensity Analysis
In this paper, based on the GIMMS NDVI3g data, using dimidiate pixel model and intensity analysis methods to analyze the changes of vegetation coverage in Inner Mongolia from 1982 to 2010 at three levels as time interval, category and transition. The results show that the vegetation coverage estimated by dimidiate pixel model has a high correlation with the measured values, which up to 0.836. The vegetation coverage’s increased area (49.2%) is greater than the reduced area (43.3%) from 1980s to 1990s, while in 1990s to the 21st century the reduced area (57.1%) is greater than the increased area (35.6%), indicating that the vegetation growth in the 1990s is better than the two other decades. From the intensity analysis we can see that the average annual rate of change in the 1990s-early 21st century was relatively faster than that of the 1980s-1990s. In the 1980s-1990s, the gain of high vegetation coverage was active and the loss was dormant; the gain and loss of low vegetation coverage was both dormant. In the 1990s-early 21st century the gain of high and low vegetation coverage both are dormant, while the losses were active. In two study periods, the low coverage of vegetation transition to a higher level, however the high vegetation coverage is converting to the lower coverage.
国家科技期刊平台
NSTL
万方数据
维普
