Title :
Research on Retrieving Aeolian Desertification Land Surface Temperature of North Shaanxi Province with MODIS Data
Author :
Huo Aidi ; Wang Guoliang ; Jun, Zhang
Author_Institution :
Sch. of Environ. Sci. & Eng., Chang´´an Univ., Xi´´an, China
Abstract :
In this paper, two important parameters (surface emissive and atmospheric transmittance) are computed from the VIS, NIR and MIR of MODIS image data. The values of LST are calculated by means of a split-window method based on thermal infrared band (band31 and band32) of MODIS image data in North Shaanxi province, Furthermore, the result from two different empirical formulas parameters is compared with the surface temperature from the corresponding position weather station observation at the time when the satellite transits. The results indicated that the simplified method can be used to acquire the reasonable values of land surface temperature and it is fit for North Shaanxi province. Thus this paper shows a good manner for monitoring large-scale and real-time land surface temperature in Aeolian desertification area using thermal bands of MODIS image data.
Keywords :
geophysical image processing; land surface temperature; remote sensing; Eeolian desertification land surface temperature retrieval; LST; MIR; MODIS image data; NIR; North Shaanxi Province; VIS; atmospheric transmittance; band31; band32; split-window method; surface emissive; thermal infrared band; Forestry; Information retrieval; Land surface; Land surface temperature; MODIS; Production; Remote monitoring; Surface fitting; Temperature measurement; Temperature sensors; Atmospheric transmittance; Land surface temperature; MODIS data; Split-window algorithm; Surface emissive;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.88