Wildfire Progression Time Series Mapping With Interferometric Synthetic Aperture Radar (InSAR)

Michaelides, Roger J.; Siegfried, Matthew R.; Lovekin, Jonathan; Berry, Karen; Dugan, Brandon; Roth, Danica L.

doi:10.1109/LGRS.2024.3365994

i

Wildfire Progression Time Series Mapping With Interferometric Synthetic Aperture Radar (InSAR)

2024
By Michaelides, Roger J. ; Siegfried, Matthew R. ; Lovekin, Jonathan ; ...

Details

Journal Title:

IEEE Geoscience and Remote Sensing Letters
Personal Author:

Michaelides, Roger J. ; Siegfried, Matthew R. ; Lovekin, Jonathan ; Berry, Karen ; Dugan, Brandon ; Roth, Danica L.
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; WPO (Weather Program Office)
Description:

We describe a novel algorithm to accurately characterize burned area and generate a time series of active burned areal extent during an actively burning wildfire based upon changes in the second-order statistics of interferometric synthetic aperture radar (InSAR) phase measurements. We present this algorithm and demonstrate its use with Sentinel-1 InSAR data collected during the 2020 Cameron Peak Fire, which burned along the Front Range in Colorado, USA. We show that this algorithm can successfully discriminate recently burned and actively burning areas within a fire zone from unburned areas at high spatial resolution (~10 s of m). We further introduce a method for estimating a time series of burned areal extent from interferometric observations of burned area-change via a singular value decomposition (SVD) inversion. We compare the results of our algorithm with fire progression maps from the National Interagency Fire Center (NIFC) and find good agreement on the total burned area (IoU = 0.65) and excellent agreement on burned area extent (mIoU = 0.91).
Source:

IEEE Geoscience and Remote Sensing Letters, 21, 1-5
DOI:

https://doi.org/10.1109/LGRS.2024.3365994
ISSN:

1545-598X ; 1558-0571
Format:

PDF
Publisher:

Institute of Electrical and Electronics Engineers (IEEE)
Document Type:

Journal Article
Funding:

Grant no. NA23OAR4590411
License:

https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:

CC BY-NC-ND
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:cd174a74f28b80c82646884daeef4d20cac9e2ffe258a8ddd1b88b2bd2371db75ee20d23461f1d858d02d0276e320a6dab0d44885a693ab5918030f8e0eb6322
Download URL:

https://repository.library.noaa.gov/view/noaa/71104/noaa_71104_DS1.pdf
File Type:

[PDF - 2.44 MB ]

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