期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：895-900
出版社：Copernicus Publications
摘要：Grassland degradation is a complicated process and result of multi-system interaction. Observation on grassland vegetation growth and change is of critical importance to grassland resource management and environment construction. However, most of estimations on grassland degradation neglect sensitivity of grassland vegetation to annual climate change, and few of them considers the directive meaning of grassland degradation progress to the recovery of grassland environment. Therefore the results of different estimation methods are usually inconsistent and incomparable, which further leads to inconvenience in the implementation and supervision of grassland environment recovery. This paper proposed a new method to estimate grassland degradation based on discriminating the impact of climatic and non-climatic factors on vegetation. A historical maximum growth model is constructed to evaluate the "ideal" status of vegetation growth under fixed climatic conditions. The impact of non-climatic factors on vegetation could be measured by the difference between realistic and "ideal" status of vegetation growth. And then the change degree and direction of grassland degradation are estimated also. We applied the method in case study area of Xilin Gole Steppe in Inner Mongolia, China, by using Pathfinder NOAA/AVHRR NDVI data from 1983 to 2000 and the meteorological data within the same period. Comparing with results of others, this method is more accurate with respect to estimating spatial distribution and changing trend of grassland degradation. Moreover, it produces more consistent result comparing to the actual case
