DocumentCode :
3333076
Title :
A modified vegetation index based algorithm for thermal imagery sharpening
Author :
Chen, Ling ; Yan, Guangjian ; Ren, Huazhong ; Li, Aihua
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
2444
Lastpage :
2447
Abstract :
Land surface temperature (LST) at both high spatial and high temporal resolution is required for routine monitoring of surface energy fluxes. Disaggregating LST to the NDVI-pixel resolution is possible because of significant inverse relationship between LST and vegetation indices. A modified algorithm (SWISF) has been proposed for thermal imagery sharpening, in which multiple least-squares regression relationships between LST and vegetation indices were acquired for bins of pixels with different soil wetness index values. Applying both SWISF and Distrad which is originally proposed by Kustas et al. to simulated thermal maps at 360 m resolution and sharpening down to 90 m shows that the new algorithm slightly outperform the old one. Moreover, DisTrad does not have the ability to consider the fact that two pairs of pixels with the same NDVI difference may have distinct LST difference under different soil moisture conditions, while SWISF algorithm could consider it to some extent.
Keywords :
geophysical image processing; geophysical techniques; land surface temperature; vegetation; DisTrad; NDVI pixel resolution; SWISF algorithm; land surface temperature; modified vegetation index; thermal imagery sharpening; Indexes; Land surface; Land surface temperature; Pixel; Remote sensing; Spatial resolution; Vegetation mapping; Image sharpening; Land surface temperature; soil wetness index; vegetation index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5651428
Filename :
5651428
Link To Document :
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