The Retrieval of Moisture and Temperature Index Based on ASTER Data

Abstract

Soil moisture and land surface temperature are the important factors in the physical process of the regional and global surface. Accordingly, multiple thermal infrared sensors have been sent into the outer space to monitor the hydrothermal factor of the global or regional area dynamically. This research used ASTER L1B data transited on the morning of May 23rd, 2001. L 1B data is based on L 1A data, produced by using its own parameters to finish radiometric correction as well as geometric correction. In the case of default, UTM projection is utilized. This research was performed in a region of Fuzhou. Because of the high spatial and spectral resolution of ASTER data, at the same time, with the help of MODIS data and split-window algorithm, the authors retrieved the moisture and temperature index in the region of complex topography.