Remotely sensed land surface temperature (LST) is influenced by the viewing angles and ground structure. By selecting a sparsely vegetated surface as the study area, the effects of structural parameters of land surface on remotely sensed LST are analyzed in this paper. Results demonstrate that both the density of canopy and size of canopy have significant influences on the remote sensing observations of LST. The difference between the LSTs obtained at nadir and off-nadir views also varies according to the acquisition season. This work is expected to be beneficial for quality control of remotely sensed LST.
['Zhixing Peng', 'Ji Zhou', 'Shaomin Liu', 'Mingsong Li', 'Linqing Zhu']
Influences of ground structure on remotely sensed land surface temperature