Ice Surface Temperature Retrieval from a Single Satellite Imager Band

Liu, Yinghui; Dworak, Richard; Key, Jeffrey

doi:10.3390/rs10121909

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Ice Surface Temperature Retrieval from a Single Satellite Imager Band

2018
By Liu, Yinghui ; Dworak, Richard ; Key, Jeffrey
Source: Remote Sensing, 10(12), 12.

Details Related Documents You May Also Like

Details:

Journal Title:

Remote Sensing
Personal Author:

Liu, Yinghui ; Dworak, Richard ; Key, Jeffrey

Liu, Yinghui ; Dworak, Richard ; Key, Jeffrey Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CIMSS (Cooperative Institute for Meteorological Satellite Studies)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CIMSS (Cooperative Institute for Meteorological Satellite Studies) Less -
Description:

Current methods for estimating the surface temperature of sea and lake ice-the ice surface temperature (IST)-utilize two satellite imager thermal bands (11 and 12 mu m) at moderate spatial resolution. These "split-window" or dual-band methods have been shown to have low biases and uncertainties. A single-band algorithm would be useful for satellite imagers that have only the 11 mu m band at high resolution, such as the Visible Infrared Imaging Radiometer Suite (VIIRS), or that do not have a fully functional 12 mu m band, such as the Thermal Infrared Sensor onboard the Landsat 8. This study presents a method for single-band IST retrievals, and validation of the retrievals using IST measurements from an airborne infrared radiation pyrometer during the NASA IceBridge campaign in the Arctic. Results show that IST with a single thermal band from the VIIRS has comparable performance to IST with the VIIRS dual-band (split-window) method, with a bias of 0.22 K and root-mean-square error of 1.03 K.
Source:

Remote Sensing, 10(12), 12.
DOI:

https://doi.org/10.3390/rs10121909
Document Type:

Journal Article
Funding:

Grant no. NA15NES4320001
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:86507fd1b2d7a8c982b051e2547b48eba9cc00dec60f8232e04e85ddcda57d90
Download URL:

https://repository.library.noaa.gov/view/noaa/22245/noaa_22245_DS1.pdf
File Type:

[PDF-2.73 MB]