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Title: Camp Fire processed Landsat 8 images, pre-fire, during-fire, post-fire

Abstract

The Camp Fire rapidly spread across a landscape in Butte County, California, toward the city of Paradise in the early morning hours of 8 November 2018. GEE acquires L8 data products from USGS that include Real-Time Tier 1 DN values, representing scaled, calibrated at-sensor radiance, and Level-1 Precision Terrain (L1TP) processing. We carried out additional processing on the pre- and post-fire images, including an illumination correction to account for effects of steep topography, and radiometric normalization to ensure homogeneity between images. We also identified and processed high-quality images for both the pre-fire condition(25 Oct 2013), and the post-fire burn scar (26 Dec 2018). Using the tools we provided in the paper, we estimate that, over the first hour, the Camp Fire was consuming ~200 ha/minute of vegetation with a linear spread rate of 14 km over the fire’s first 25 minutes, or ~33km/hr. We briefly discuss broader use of remote sensing and geospatial analysis for fire research and risk management. A visualization app (sliderApp) that includes pre-fire, active fire, and post-fire images: https://caralyngorman.users.earthengine.app/view/camp-fire-sliding-map-3-9-19

Authors:
; ; ;
  1. University of California Berkeley
Publication Date:
Product Type:
Dataset
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Next-Generation Ecosystem Experiments (NGEE) Tropics
Sponsoring Org.:
This work was supported by the University of California, Berkeley, Department of Geography The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Subject:
54 ENVIRONMENTAL SCIENCES
Keywords:
fire; Camp fire; fire warning; remote sensing
OSTI Identifier:
1512511
DOI:
10.15485/1512511

Citation Formats

Gorman, Caralyn, Feng, Yanlei, Chambers, Jeffrey, and Stapp, Jared. Camp Fire processed Landsat 8 images, pre-fire, during-fire, post-fire. United States: N. p., 2019. Web. doi:10.15485/1512511.
Gorman, Caralyn, Feng, Yanlei, Chambers, Jeffrey, & Stapp, Jared. Camp Fire processed Landsat 8 images, pre-fire, during-fire, post-fire. United States. doi:10.15485/1512511.
Gorman, Caralyn, Feng, Yanlei, Chambers, Jeffrey, and Stapp, Jared. 2019. "Camp Fire processed Landsat 8 images, pre-fire, during-fire, post-fire". United States. doi:10.15485/1512511. https://www.osti.gov/servlets/purl/1512511. Pub date:Tue Jan 01 00:00:00 EST 2019
@article{osti_1512511,
title = {Camp Fire processed Landsat 8 images, pre-fire, during-fire, post-fire},
author = {Gorman, Caralyn and Feng, Yanlei and Chambers, Jeffrey and Stapp, Jared},
abstractNote = {The Camp Fire rapidly spread across a landscape in Butte County, California, toward the city of Paradise in the early morning hours of 8 November 2018. GEE acquires L8 data products from USGS that include Real-Time Tier 1 DN values, representing scaled, calibrated at-sensor radiance, and Level-1 Precision Terrain (L1TP) processing. We carried out additional processing on the pre- and post-fire images, including an illumination correction to account for effects of steep topography, and radiometric normalization to ensure homogeneity between images. We also identified and processed high-quality images for both the pre-fire condition(25 Oct 2013), and the post-fire burn scar (26 Dec 2018). Using the tools we provided in the paper, we estimate that, over the first hour, the Camp Fire was consuming ~200 ha/minute of vegetation with a linear spread rate of 14 km over the fire’s first 25 minutes, or ~33km/hr. We briefly discuss broader use of remote sensing and geospatial analysis for fire research and risk management. A visualization app (sliderApp) that includes pre-fire, active fire, and post-fire images: https://caralyngorman.users.earthengine.app/view/camp-fire-sliding-map-3-9-19},
doi = {10.15485/1512511},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}

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