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Proceedings Paper

MODIS land surface temperatures and their relationship with hydroclimatological parameters
Author(s): Sunyurp Park; Johannes J. Feddema; Stephen L. Egbert
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Paper Abstract

Daily land surface temperatures (LST) of Moderate Resolution Imaging Spectroradiometer (MODIS) data were analyzed to determine how the data were correlated with climatic water budget variables. Using a climatic water budget program, four daily water budget factors were calculated at six weather stations across the state; percent soil moisture, AE/PE, water deficit, and water deficit/PE. Land surface temperature deviations standardized with air temperature were expected to have a significant correlation with the water budget factors. To do correlation analyses on a weekly basis, daily MODIS data were integrated into three different types of weekly composites, including maximum temperature, driest-day, and combination composite data sets. Results showed that the maximum composite data set had the highest, and the driest-day composite had the lowest, correlation with the climatic water budget on average. Percent soil moisture, AE/PE, and Def/PE consistently had a high correlation with the LST deviation, whereas water deficit values showed inconsistent relationships from place to place. Time-integrated, or cumulative values of the LST-meanTair showed even stronger relationships with the water budget factors, increasing the correlation coefficients by 33.4% on average. The absolute values of their correlation coefficients ranged from 0.618 to 0.823.

Paper Details

Date Published: 15 March 2002
PDF: 8 pages
Proc. SPIE 4710, Thermosense XXIV, (15 March 2002); doi: 10.1117/12.459565
Show Author Affiliations
Sunyurp Park, Univ. of Kansas (United States)
Johannes J. Feddema, Univ. of Kansas (United States)
Stephen L. Egbert, Univ. of Kansas (United States)


Published in SPIE Proceedings Vol. 4710:
Thermosense XXIV
Xavier P. Maldague; Andres E. Rozlosnik, Editor(s)

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