The ecological system in mountain area plays a key role in the biodiversity conservation in global scale and regional sustainable development at the down-stream area of drainage basin for water, wood, and other resources supply. But as dealing with the problem, there is often no available meteorological and climatic data. With the operation of NOAA in 1990s and Terra and Aqua in the new million, it is possible to estimate some meteorological and climatic parameters by the use of satellite remote sensing. Furthermore, we can explore the spatial pattern of the parameters, for example, lapse rate of temperature, by means of a synthetic analysis with other geospatial data, such as digital elevation model, and get useful information about the ecological system in mountain area. In this paper, land surface temperature (LST) is estimated after Becker and Li's local split window algorithm by using Terra-MODIS data. Combined with Digital Elevation Model (DEM), the Land surface temperature and digital elevation data in same region are picked up on the ±1 degree of right direction of east, south, west and north. The correlation between the LST and altitude is analyzed, and 1-order linear expressions between them are got. The results show that on the time when the Terra-MODIS collects data, the LST lapse rate varies from 4.52~6.56°C/km, the minimum value happens at the direction of sunshine, which are approximate 4.52°C/km on the right south side of mountains; the maximal values happens at the opposite side of sunshine, which are 6.56°C/km at the north side of mountains.