In the context of global climate change,vegetation phenology analysis based on remote sensing has become an critical method for studying the characteristics of physical and physiological changes of vegetation. This paper uses the MODIS NDVI time-series data of 96meteorological stations over the Tibetan Plateau during 2000-2014to explore the development trend of vegetation phenological and geographical environment factors of each meteorological station,typical vegetation coverage and the whole plateau region. Firstly,using three cubic spline function method(Spline),double logistic function method(D-L)and singular spectrum analysis(SSA),NDVI time-series data is reconstructed,then using the derivative method (Der)and threshold method(Trs),the key parameters of phenological information is extracted,after that differences and application conditions between the six methods are analyzed and compared.Secondly,using M-K test trend analysis method,the phenological development trend of each site and area were calculated, the relationship between phenological development trend and altitude,precipitation,temperature is studied. Finally,by the Growing season length(GSL)obtained by temperature threshold method,LOS is compared andverified.ingrassland and forest land cover types,SSA,Spline,D-L combined with threshold method to get the Start of Season(SOS),end of season(EOS),Length of season(SOS)respectively is a good combination strategy.(2)The spatial differences of various phenological parameters extracted by different methods are large,and the trend is relatively consistent at small scales.Southeast humid and semi-humid shrub steppe region and northwestern desert steppe in the Tibetan Plateau,SOS and EOS delayed,but LOS prolonged; southwestern humid region,SOS and EOS delayed,LOS shortened;widely distributed grassland, the phenological parameters did not show significant tendency.(3)Temperature is related to the development trend of phenological parameters.With temperature increasing,the phenomena of SOS advance,EOS lag are presented.Because of the complexity of the plateau landform and climate,there was no significant relationship between phenological development trend for most of the site with the altitude and precipitation, only a few sites have strong correlation,the correlation between GSL and LOS also showed similar characteristics.For remote sensing based phonological analyses,our study identify there is no method existing here that is a adaptiveacrossalltheTibetanPlateau.inaddition,at point scale the phenological parameters do not represent a significant earlier or later trend.