MODIS land surface temperatures and their relationship with hydroclimatological parameters

Sunyurp Park; Johannes J. Feddema; Stephen L. Egbert

doi:10.1117/12.459565

15 March 2002 MODIS land surface temperatures and their relationship with hydroclimatological parameters

Sunyurp Park, Johannes J. Feddema, Stephen L. Egbert

Proceedings Volume 4710, Thermosense XXIV; (2002) https://doi.org/10.1117/12.459565
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

Citation Download Citation

Sunyurp Park, Johannes J. Feddema, and Stephen L. Egbert "MODIS land surface temperatures and their relationship with hydroclimatological parameters", Proc. SPIE 4710, Thermosense XXIV, (15 March 2002); https://doi.org/10.1117/12.459565

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Composites

MODIS

Climatology

Soil science

Vegetation

Environmental sensing

Remote sensing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years