Verage correlation coefficient was 0.49. In addition to investigation in to the correlation amongst vegetation RP101988 Agonist greenness In addition to ourour investigation into the correlation betweenvegetation greenness and ML-SA1 TRP Channel climatic components in the nine meteorological stations, we analyzed the correlation amongst and climatic aspects at the nine meteorological stations, we analyzed the correlation begrowing season vegetation greenness and land surface temperature, precipitation, also tween expanding season vegetation greenness and land surface temperature, precipitation, also as atmospheric vapor pressure deficit for the whole study region (Figure eight). In general, the results according to the measurements from the meteorological stations agree with those based on the gridded climate information. Nemani et al. [14] showed that in the semi-arid regions of Northwest China, water isRemote Sens. 2021, 13, 4246 Remote Sens. 2021, 13,12 of 20 11 ofglobal study in [14] missed the facts linked with elevation, due to the coarse as atmospheric vapor pressure deficit for research making use of high spatial resolution data are spatial resolution information employed, and hence the whole study region (Figure eight). Normally, the results depending on our measurements in the meteorological stations agree with these needed to improve the understanding on the drivers of vegetation dynamics at regional according to the gridded climate data. scales.Figure 8. Correlation coefficients among the developing season vegetation greenness plus the 3 Figure eight. Correlation coefficients involving the increasing season vegetation greenness and the three climatic aspects: (a) land surface temperature, (b) precipitation, (c) atmospheric vapor stress deficit. climatic things: (a) land surface temperature, (b) precipitation, (c) atmospheric vapor pressure defThe correlation coefficients are in the interannual scale scale for the years from 2000 to 2019. icit. The correlation coefficients are at the interannual for the years from 2000 to 2019.Nemani et al. of vegetationthat inside the semi-arid regions of Northwest shown in FigThe greening [14] showed does have an effect around the regional climate, as China, water is the primary limiting factor for vegetation study location had a decreasing trend in the within the ure 9. The land surface temperature within the development. This agrees with our findings rate of semi-arid regions reduce thanfromkilometers above sea level. Nonetheless,greenness vegetation 0.0827 /year inside the years two 2000 to 2019, even though the vegetation as for the had an inat high elevations, neither water variation of temperature behighly correlated with that of creasing trend. The interannual nor temperature appear to would be the major limiting aspect. The worldwide study ingreenness. The cooling impact of increasing vegetation was also reported inside the vegetation [14] missed the information connected with elevation, as a result of the coarse spatial resolution information utilised, and therefore studies working with higher spatial resolution data are needed [53]. to enhance our understanding of the sudden of vegetation dynamics at regional scales. As we can see in Figure ten, the drivers drops in NDVI value in 2004006 and 2015 The greening of vegetation does have an impact on the nearby climate, as shown in are connected for the drop in precipitation in these years. The interannual variation of vegeFigure 9. The land surface temperature within the study location had a decreasing trend in the rate tation greenness is very correlated with that of precipitation. Hence, precipitation mig.