Bias Correction of Airborne Thermal Infrared Observations Over Forests Using Melting Snow

Pestana, Steven; Chickadel, C. Chris; Harpold, Adrian; Kostadinov, Tihomir S.; Pai, Henry; Tyler, Scott; Webster, Clare; Lundquist, Jessica D.

doi:10.1029/2019wr025699

i

Bias Correction of Airborne Thermal Infrared Observations Over Forests Using Melting Snow

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2019
By Pestana, Steven ; Chickadel, C. Chris ; Harpold, Adrian ; ...

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Journal Title:

Water Resources Research
Personal Author:

Pestana, Steven ; Chickadel, C. Chris ; Harpold, Adrian ; Kostadinov, Tihomir S. ; Pai, Henry ; Tyler, Scott ; Webster, Clare ; Lundquist, Jessica D.
NOAA Program & Office:

NWS (National Weather Service)
Description:

Uncooled thermal infrared (TIR) imagers, commonly used on aircraft and small unmanned aircraft systems (UAS, “drones ”), can provide high ‐resolution surface temperature maps, but their accuracy is dependent on reliable calibration sources. A novel method for correcting surface temperature observations made by uncooled TIR imagers uses observations over melting snow, which provides a constant 0 °C reference temperature. This bias correction method is applied to remotely sensed surface temperature observations of forests and snow over two mountain study sites: Laret, Davos, Switzerland (27 March 2017) in the Alps, and Sagehen Creek, California, USA (21 April 2017) in the Sierra Nevada.
Keywords:

Water Science and Technology
Source:

Water Resources Research, 55(12), 11331-11343
DOI:

https://doi.org/10.1029/2019wr025699
ISSN:

0043-1397 ; 1944-7973
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
Rights Information:

Other
Compliance:

Library
Main Document Checksum:

urn:sha256:1742ee466d14da2c7a34939f0ff7d75bbccf26ec0dd650f329b02919689ccaf5
Download URL:

https://repository.library.noaa.gov/view/noaa/54335/noaa_54335_DS1.pdf
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[PDF - 38.13 MB ]

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