Research on the Dynamic Change of the Grassland Degradation in Shenzha County with RS and GIS Technology
In this paper, on the basis of RS technique and GIS technique, remote sensing images acquired from Landsat of three periods (1990,2000 and 2009) as information source were used to estimate the vegetation coverage of study area in different periods by extracting NDVI and improved dimidiate pixel estimating model. And the results show that the area of grassland degradation is on the increase in the whole studied periods, and 928800 hm2 grassland lost in the past 20 years, taking up 33. 2i% of the total grassland area in Shenzha county. There is more serious grassland generation phenomenon from 1990 to 2000 and the increasing trends of grassland degradation were not very obvious during 2000 - 2009 on the angle of dynamic change. At the same time, this paper analysed the space-time structure, process and driving factors of northern Tibetan alpine grassland ecosystem degradation in the past 20 years, and put forward to the laws, policies and technical measures for degradation alpine meadow to prevent the grassland degradation in order to provide scientific basis for restoration, governance and the regional sustainable development of study area.
NETL
NSTL
万方数据
维普
