Cloud tolerance of remote-sensing technologies to measure land surface temperature

Holmes, Thomas R. H.; Hain, Christopher R.; Anderson, Martha C.; Crow, Wade T.

doi:10.5194/hess-20-3263-2016

i

Cloud tolerance of remote-sensing technologies to measure land surface temperature

2016
By Holmes, Thomas R. H. ; Hain, Christopher R. ; Anderson, Martha C. ; ...

Details

Journal Title:

Hydrol. Earth Syst. Sci.
Personal Author:

Holmes, Thomas R. H. ; Hain, Christopher R. ; Anderson, Martha C. ; Crow, Wade T.
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service)
Description:

We test the cloud tolerance of two technologies to estimate land surface temperature (LST) from space: microwave (MW) and thermal infrared (TIR). Although TIR has slightly lower errors than MW with ground data under clear-sky conditions, it suffers increasing negative bias as cloud cover increases. In contrast, we find no direct impact of clouds on the accuracy and bias of MW-LST. MW-LST can therefore be used to improve TIR cloud screening and increase sampling in clouded regions.
Keywords:

Clouds Earth Temperature Remote Sensing Satellite Meteorology Earth Temperature Remote Sensing Satellite Meteorology
Source:

Hydrol. Earth Syst. Sci., 20(8), 3263–3275
DOI:

https://doi.org/10.5194/hess-20-3263-2016
Document Type:

Journal Article
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

urn:sha256:360d7155bb291a241b547c17dbe66e228badd47c650c7065090256ff55ddf67a
Download URL:

https://repository.library.noaa.gov/view/noaa/41084/noaa_41084_DS1.pdf
File Type:

[PDF - 717.92 KB ]

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