Title :
Land surface temperature retrieved using MODIS data in Shandong Province
Author :
Mengquan Wu ; Anding Zhang ; Zhongqiang Kan ; Xibing Sun ; Xia Lin
Author_Institution :
Coll. of Geogr. & Planning, Ludong Univ., Yantai, China
Abstract :
The land surface temperature is a key factor in the surface physical process on regional and global scales, and also is an important parameter for the material interchange and energy exchange between the surface and the atmosphere. The essay retrieved the atmospheric transmittance and the surface emissivity which are required when LST is calculated using MODIS image by split-window algorithm. The surface emissivity is calculated by means of obtaining the water pure pix individually through MNDWI in that the water area in Shandong Province can not be ignored, and then the values of LST in Shandong Province are derived in this method, then also analyzed the space-time distribution characteristics of LST, MNDWI I, NDVI, NDBI. The result shows that the method can obtain the reasonable LST, practically according with the surface status; there are obvious negative correlations between LST and MNDWI, and positive correlation between LST and NDBI, only with higher NDVI exists a negative correlation. The differences in spatial distribution of surface temperature depends on the characteristics of surface and number of urban surface; combining with the weather observation date can be used to monitor the changes in surface temperature.
Keywords :
geophysical image processing; infrared imaging; land surface temperature; remote sensing; MODIS data; MODIS image; Shandong Province; atmospheric transmittance retrieval; energy exchange; land surface temperature retrieval; material interchange; negative correlations; space-time distribution characteristics; split-window algorithm; surface emissivity retrieval; surface physical process; surface status; thermal infrared remote sensing technology; weather observation date; Clouds; Land surface; Land surface temperature; MODIS; Ocean temperature; Temperature distribution; Temperature sensors; Landsurfacetemperature; MODIS; splits window algorithm;
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
DOI :
10.1109/Geoinformatics.2013.6626038