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Title: Wildfires Temperature Estimation by Complementary Use of Hyperspectral PRISMA and Thermal (ECOSTRESS & L8)

Abstract

This paper deals with detection and temperature analysis and of wildfires using PRISMA imagery. Precursore IperSpettrale della Missione Applicativa (Hyperspectral Precursor of the Application Mission, PRISMA) is a new hyperspectral mission by ASI (Agenzia Spaziale Italiana, Italian Space Agency) launched in 2019. This mission provides hyperspectral images with a spectral range of 400–2,500 nm and an average spectral resolution less than 12 nm and a spatial resolution of 30 m/pixel. This study focuses on the wildfire temperature estimation over the Bootleg Fire, US 2021. The analysis starts by considering the Hyperspectral Fire Detection Index (HFDI) which is used to analyze the informative content of the images, along with the analysis of some specific visible, near-infrared and shortwave-infrared bands. This first analysis is used as input to perform a temperature estimation of the areas with active wildfire. Surface temperature is retrieved using PRISMA radiance and a linear mixing model based on two background components (vegetation and burn scar) and two active fire components. PRISMA temperatures are compared with LST (Land Surface Temperature) products from NASA's ECOSTRESS and Landsat 8 which imaged the Bootleg Fire before and after PRISMA. A critical discussion of the results obtained with PRISMA is presented, followed bymore » the advantages and limitation of the proposed approach.« less

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3];  [4]
+ Show Author Affiliations
  1. National Institute of Geophysics and Volcanology (INGV) (Italy)
  2. Sapienza University (Italy)
  3. Italian Space Agency (ASI) (Rome)
  4. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1987314
Report Number(s):
PNNL-SA-175599
Journal ID: ISSN 2169-8953
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Geophysical Research. Biogeosciences
Additional Journal Information:
Journal Volume: 127; Journal Issue: 12; Journal ID: ISSN 2169-8953
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; remote sensing; hyperspectral; PRISMA; wildfire detection; ECOSTRESS; hot temperatures estimation; Bootleg wildfire 2021

Citation Formats

Amici, Stefania, Spiller, Dario, Ansalone, Luigi, and Miller, Lee M. Wildfires Temperature Estimation by Complementary Use of Hyperspectral PRISMA and Thermal (ECOSTRESS & L8). United States: N. p., 2022. Web. doi:10.1029/2022jg007055.
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Amici, Stefania, Spiller, Dario, Ansalone, Luigi, & Miller, Lee M. Wildfires Temperature Estimation by Complementary Use of Hyperspectral PRISMA and Thermal (ECOSTRESS & L8). United States. https://doi.org/10.1029/2022jg007055
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Amici, Stefania, Spiller, Dario, Ansalone, Luigi, and Miller, Lee M. Fri . "Wildfires Temperature Estimation by Complementary Use of Hyperspectral PRISMA and Thermal (ECOSTRESS & L8)". United States. https://doi.org/10.1029/2022jg007055. https://www.osti.gov/servlets/purl/1987314.
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@article{osti_1987314,
title = {Wildfires Temperature Estimation by Complementary Use of Hyperspectral PRISMA and Thermal (ECOSTRESS & L8)},
author = {Amici, Stefania and Spiller, Dario and Ansalone, Luigi and Miller, Lee M.},
abstractNote = {This paper deals with detection and temperature analysis and of wildfires using PRISMA imagery. Precursore IperSpettrale della Missione Applicativa (Hyperspectral Precursor of the Application Mission, PRISMA) is a new hyperspectral mission by ASI (Agenzia Spaziale Italiana, Italian Space Agency) launched in 2019. This mission provides hyperspectral images with a spectral range of 400–2,500 nm and an average spectral resolution less than 12 nm and a spatial resolution of 30 m/pixel. This study focuses on the wildfire temperature estimation over the Bootleg Fire, US 2021. The analysis starts by considering the Hyperspectral Fire Detection Index (HFDI) which is used to analyze the informative content of the images, along with the analysis of some specific visible, near-infrared and shortwave-infrared bands. This first analysis is used as input to perform a temperature estimation of the areas with active wildfire. Surface temperature is retrieved using PRISMA radiance and a linear mixing model based on two background components (vegetation and burn scar) and two active fire components. PRISMA temperatures are compared with LST (Land Surface Temperature) products from NASA's ECOSTRESS and Landsat 8 which imaged the Bootleg Fire before and after PRISMA. A critical discussion of the results obtained with PRISMA is presented, followed by the advantages and limitation of the proposed approach.},
doi = {10.1029/2022jg007055},
journal = {Journal of Geophysical Research. Biogeosciences},
number = 12,
volume = 127,
place = {United States},
year = {Fri Dec 02 00:00:00 EST 2022},
month = {Fri Dec 02 00:00:00 EST 2022}
}
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https://doi.org/10.1029/2022jg007055
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