|Table of Contents|

Simplified Split-window Algorithm Model to Retrieve Land Surface Temperature in Aeolian Desertification Area with MODIS Image Data——Taking North Shaanxi Province as an Example(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2009年第03期
Page:
306-311
Research Field:
环境地学
Publishing date:

Info

Title:
Simplified Split-window Algorithm Model to Retrieve Land Surface Temperature in Aeolian Desertification Area with MODIS Image Data——Taking North Shaanxi Province as an Example
Author(s):
HUO Ai-di1; 2;  KANG Xiang-wu3;  LIU Zhi-li4;  CAO Xin-sheng5
(1.School of Environmental Sciences and Engineering, Chang'an University, Xi'an 710054, Shaanxi, China; 2.School of Resource and Environment, Northwest Agriculture and Forestry University, Yangling 712100,Shaanxi, China; 3.Institute of Scientific and Technical Information of China, Beijing 100038, China; 4.National Meteorological Center, China Meteorological Administration, Beijing 100081, China; 5.Shaanxi Provincial Productivity Promotion Center, Xi'an 710054, Shaanxi,China)
Keywords:
land surface temperature;  MODIS;  split-window algorithm;  atmospheric transmittance;  surface emissive
PACS:
TP79
DOI:
-
Abstract:
In this paper, two import parameters(surface emissive and atmospheric transmittance)are computed from the VIS, NIR and MIR of MODIS image data. The values of land surface temperature are calculated by means of a split-window method based on thermal infrared band(b31 and b32)of MODIS image data in North Shaanxi. Furthermore, the result from two different empirical formulas parameter is compared with the surface temperature from the corresponding position weather station observation at the time when the satellite transits. The results reveal that the simplified method can be used to acquire the reasonable values of land surface temperature and it is fit for North Shaanxi. Thus, this study provide a good manner for monitoring large-scale and real-time land surface temperature in aeolian desertification area using thermal bands of MODIS image data.

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Last Update: 2009-09-20