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摘要： 荒漠绿洲是维持当地人类生存和社会发展的主要依托,但其地表植被稀疏,生态系统极其脆弱,而植被覆盖度是反映荒漠生态环境信息的重要指标之一.以黑河下游额济纳荒漠绿洲为例,基于Landsat８影像和野外实测植被覆盖度数据,对比和分析现有的适宜于干旱荒漠区的３类植被覆盖度提取方法(经验模型法、像元二分法和三波段梯度差法)在该区域的应用效果,并尝试利用基于转换型土壤调整植被指数(TSAVI)的像元二分模型法和修正的三波段梯度差法(MTGDVI)进行植被覆盖度估算,以期找到计算额济纳荒漠绿洲植被覆盖度的最佳模型. 研究结果表明:用TSAVI像元二分模型法的反演精度高而且能够较好地估算额济纳荒漠区域和绿洲区域的植被覆盖度,适用于估算额济纳荒漠绿洲的植被覆盖度. 关键词： 额济纳荒漠绿洲;  植被覆盖度;  经验模型;  像元二分模型;  三波段梯     Abstract: The desert oasis in the condition of sparse vegetation and fragile ecosystem influences on the survival and development of the local human beings,and vegetation fraction coverage is an important parameter for reflecting the desert ecological information.In this study,the comparison and analysis of the different existing suitable methods in desert oasis will be essential way to find one feasible and suitable method of desert oasis vegetation fractional coverage information extraction based on landsat8 images.Taking Ejina desert oasis for example,three kinds of methods of remote sensing (Empirical model method,Dimidiate Pixel model,and 3\|bands Maximal Gradient Difference Model) were used to extract the vegetation fraction coverage,and the results were tested by observed data at field,in additional to attempt to use a new method based on Transferred Soli Adjusted Vegetation Index (TSAVI) and Modified Maximal Gradient Difference model.According to the experimentation,the estimating values by TSAVI method has a better relationship with the verification values,which can better estimate vegetation fractional coverage in desert and oasis areas.

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