DocumentCode :
52873
Title :
Thermophysical Characterization of the Southwestern U.S. From 5 Years of MODIS Land Surface Temperature Observations
Author :
Nowicki, Scott A.
Author_Institution :
Univ. of Nevada Las Vegas, Las Vegas, NV, USA
Volume :
7
Issue :
8
fYear :
2014
fDate :
Aug. 2014
Firstpage :
3416
Lastpage :
3420
Abstract :
Five years (2005-2009) of daytime and nighttime 1-km 8-day Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared (TIR) observations have been compiled for the southwestern United States to develop a multitemporal dataset used to map the areal extent of surface thermophysical units, identify anomalous surfaces and weather events, and establish temporal and spatial criteria to map and characterize surfaces in arid regions. Results suggest that weather patterns across the Mojave, Sonoran, and Great Basin desert regions produce spring and fall observations that are consistently cloud-free. Sparsely vegetated and bare soil surfaces display temperature patterns that are highly consistent during much of the year and from year to year. The conditions necessary for reliable quantitative temperatures for thermophysical mapping are both spatially and temporally controlled, and commonly occur for observations in the arid Southwest.
Keywords :
land surface temperature; remote sensing; soil; vegetation; AD 2005 to 2009; Great Basin desert region; MODIS land surface temperature observations; Mojave desert region; Sonoran desert region; bare soil surface; daytime MODIS TIR observation; multitemporal dataset; nighttime MODIS TIR observation; southwestern US thermophysical characterization; southwestern United States; sparsely vegetated surface; surface thermophysical units; thermal infrared; thermophysical mapping; weather events; weather patterns; Clouds; Land surface; Land surface temperature; MODIS; Ocean temperature; Remote sensing; Sea surface; Land surface temperature (LST); thermal inertia; thermal infrared (TIR) mapping;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2014.2349001
Filename :
6891143
Link To Document :
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