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United States Department of Agriculture

Agricultural Research Service

Title: Land Surface Temperature Retrieval from Modis and Goes 8

Authors
item Inamdar, Anand
item French, Andrew

Submitted to: American Geophysical Union
Publication Type: Abstract Only
Publication Acceptance Date: April 15, 2006
Publication Date: May 26, 2006
Citation: Inamdar, A.K., French, A.N. 2006. Land surface temperature retrieval from modis and goes 8. American Geophysical Union. Eos Trans. AGU 87(36), Jt. Assem. Suppl. H23F-05.

Technical Abstract: Land surface temperature (LST) and its diurnal variation are important observable characteristics when evaluating climate change, land-atmosphere energy exchange processes and the global hydrologic cycle. These characteristics are observable from satellite platforms using thermal infrared, but doing so at both high spatial and high temporal resolutions has been difficult to achieve. In the past, satellite retrieval of global LST at 1 km scales has relied upon NOAA polar orbiting satellites. Though augmented by MODIS data since 2000, these data provide, at best, only one or two instantantaneous observations per day. High temporal sampling of LST, on the other hand, is achievable with geostationary satellites, but with 4-5 km spatial resolution and lower accuracy. In our study, LST data from both types of observations are combined to yield hourly, 1 km values. To accomplish this task, and return LST accurate to better than 2 C, minimally requires good cloud clearing and atmospheric correction algorithms. Also required is an underlying LST model to propogate values between satellite observations. The schemes we use include a spatial/temporal cloud clearing approach, split-window modeling, and an empirical harmonic LST model. The implementation of these will be discussed, followed by a validation example of resulting LST values using data from western USA.

Last Modified: 7/30/2014
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