NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Press Enter or click the Search button to begin your search.

Back to Results
Land Surface Temperature Measurements from EOS MODIS DataWe applied the multi-method strategy of land-surface temperature (LST) and emissivity measurements in two field campaigns this year for validating the MODIS LST algorithm. The first field campaign was conducted in Death Valley, CA, on March 3rd and the second one in Railroad Valley, NV, on June 23-27. ER2 MODIS Airborne Simulator (MAS) data were acquired in morning and evening for these two field campaigns. TIR spectrometer, radiometer, and thermistor data were also collected in the field campaigns. The LST values retrieved from MAS data with the day/night LST algorithm agree with those obtained from ground-based measurements within 1 C and show close correlations with topographic maps. The band emissivities retrieved from MAS data show close correlations with geological maps in the Death Valley field campaign. The comparison of measurement data in the latest Railroad Valley field campaign indicates that we are approaching the goals of the LST validation: LST uncertainty less than 0.5 C, and emissivity uncertainty less than 0.005 in the 10-13 spectral range. Measurement data show that the spatial variation in LST is the major uncertainty in the LST validation. In order to reduce this uncertainty, a new component of the multi-method strategy has been identified.
Document ID
19970027492
Acquisition Source
Goddard Space Flight Center
Document Type
Contractor Report (CR)
Authors
Wan, Zhengming
(California Univ. Santa Barbara, CA United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1997
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
NAS 1.26:205289
NASA-CR-205289
Report Number: NAS 1.26:205289
Report Number: NASA-CR-205289
Accession Number
97N26432
Funding Number(s)
CONTRACT_GRANT: NAS5-31370
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
No Preview Available