Development and Analysis of a 12-year Daily 1-km Forest Fire Dataset Across North America from NOAA/AVHRR Data

Fires in boreal and temperate forests play a significant role in the global carbon cycle. While forest fires in North America (NA) have been surveyed extensively by U.S. and Canadian forest services, most fire records are limited to seasonal statistics without information on temporal evolution and s...

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Published in:Remote Sensing of Environment
Main Authors: Pu, Ruiliang, Li, Zhanqing, Gong, Peng, Csiszar, Ivan, Fraser, Robert, Hao, Wei-Min, Kondragunta, Shobha, Weng, Fuzhong
Format: Article in Journal/Newspaper
Language:unknown
Published: Digital Commons @ University of South Florida 2007
Subjects:
Online Access:https://digitalcommons.usf.edu/geo_facpub/380
https://doi.org/10.1016/j.rse.2006.02.027
id ftusouthflorida:oai:digitalcommons.usf.edu:geo_facpub-1379
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spelling ftusouthflorida:oai:digitalcommons.usf.edu:geo_facpub-1379 2023-07-30T04:02:08+02:00 Development and Analysis of a 12-year Daily 1-km Forest Fire Dataset Across North America from NOAA/AVHRR Data Pu, Ruiliang Li, Zhanqing Gong, Peng Csiszar, Ivan Fraser, Robert Hao, Wei-Min Kondragunta, Shobha Weng, Fuzhong 2007-05-30T07:00:00Z https://digitalcommons.usf.edu/geo_facpub/380 https://doi.org/10.1016/j.rse.2006.02.027 unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/geo_facpub/380 doi:10.1016/j.rse.2006.02.027 https://doi.org/10.1016/j.rse.2006.02.027 School of Geosciences Faculty and Staff Publications forest fires burned area mapping NOAA/AVHRR data North America Earth Sciences article 2007 ftusouthflorida https://doi.org/10.1016/j.rse.2006.02.027 2023-07-13T20:27:23Z Fires in boreal and temperate forests play a significant role in the global carbon cycle. While forest fires in North America (NA) have been surveyed extensively by U.S. and Canadian forest services, most fire records are limited to seasonal statistics without information on temporal evolution and spatial expansion. Such dynamic information is crucial for modeling fire emissions. Using the daily Advanced Very High Resolution Radiometer (AVHRR) data archived from 1989 to 2000, an extensive and consistent fire product was developed across the entire NA forest regions on a daily basis at 1-km resolution. The product was generated following data calibration, geo-referencing, and the application of an active fire detection algorithm and a burned area mapping algorithm. The spatial–temporal variation of forest fire in NA is analyzed in terms of (1) annual and monthly patterns of fire occurrences in different eco-domains, (2) the influence of topographic factors (elevation zones, aspect classes, and slope classes), and (3) major forest types and eco-regions in NA. It was found that 1) among the 12 years analyzed, 1989 and 1995 were the most severe fire years in NA; 2) the majority of burning occurred during June–July and in low elevation zones (< 500 m) with gentle slopes (< 10°), except in the dry eco-domain where more fires occurred in higher elevation zones (> 2000 m); 3) most fires occurred in the polar eco-domain, sub-arctic eco-division, and in the taiga ( boreal forests), forest-tundras and open woodlands eco-provinces in the boreal forests of Canada. The tendency for multiple burns to occur increases with elevation and slope until about 2500 m elevation and 24° slope, and decreases therefore. In comparison with ground observations, the omission and commission errors are on the order of 20%. Article in Journal/Newspaper Arctic taiga University of South Florida St. Petersburg: Digital USFSP Arctic Canada Remote Sensing of Environment 108 2 198 208
institution Open Polar
collection University of South Florida St. Petersburg: Digital USFSP
op_collection_id ftusouthflorida
language unknown
topic forest fires
burned area mapping
NOAA/AVHRR data
North America
Earth Sciences
spellingShingle forest fires
burned area mapping
NOAA/AVHRR data
North America
Earth Sciences
Pu, Ruiliang
Li, Zhanqing
Gong, Peng
Csiszar, Ivan
Fraser, Robert
Hao, Wei-Min
Kondragunta, Shobha
Weng, Fuzhong
Development and Analysis of a 12-year Daily 1-km Forest Fire Dataset Across North America from NOAA/AVHRR Data
topic_facet forest fires
burned area mapping
NOAA/AVHRR data
North America
Earth Sciences
description Fires in boreal and temperate forests play a significant role in the global carbon cycle. While forest fires in North America (NA) have been surveyed extensively by U.S. and Canadian forest services, most fire records are limited to seasonal statistics without information on temporal evolution and spatial expansion. Such dynamic information is crucial for modeling fire emissions. Using the daily Advanced Very High Resolution Radiometer (AVHRR) data archived from 1989 to 2000, an extensive and consistent fire product was developed across the entire NA forest regions on a daily basis at 1-km resolution. The product was generated following data calibration, geo-referencing, and the application of an active fire detection algorithm and a burned area mapping algorithm. The spatial–temporal variation of forest fire in NA is analyzed in terms of (1) annual and monthly patterns of fire occurrences in different eco-domains, (2) the influence of topographic factors (elevation zones, aspect classes, and slope classes), and (3) major forest types and eco-regions in NA. It was found that 1) among the 12 years analyzed, 1989 and 1995 were the most severe fire years in NA; 2) the majority of burning occurred during June–July and in low elevation zones (< 500 m) with gentle slopes (< 10°), except in the dry eco-domain where more fires occurred in higher elevation zones (> 2000 m); 3) most fires occurred in the polar eco-domain, sub-arctic eco-division, and in the taiga ( boreal forests), forest-tundras and open woodlands eco-provinces in the boreal forests of Canada. The tendency for multiple burns to occur increases with elevation and slope until about 2500 m elevation and 24° slope, and decreases therefore. In comparison with ground observations, the omission and commission errors are on the order of 20%.
format Article in Journal/Newspaper
author Pu, Ruiliang
Li, Zhanqing
Gong, Peng
Csiszar, Ivan
Fraser, Robert
Hao, Wei-Min
Kondragunta, Shobha
Weng, Fuzhong
author_facet Pu, Ruiliang
Li, Zhanqing
Gong, Peng
Csiszar, Ivan
Fraser, Robert
Hao, Wei-Min
Kondragunta, Shobha
Weng, Fuzhong
author_sort Pu, Ruiliang
title Development and Analysis of a 12-year Daily 1-km Forest Fire Dataset Across North America from NOAA/AVHRR Data
title_short Development and Analysis of a 12-year Daily 1-km Forest Fire Dataset Across North America from NOAA/AVHRR Data
title_full Development and Analysis of a 12-year Daily 1-km Forest Fire Dataset Across North America from NOAA/AVHRR Data
title_fullStr Development and Analysis of a 12-year Daily 1-km Forest Fire Dataset Across North America from NOAA/AVHRR Data
title_full_unstemmed Development and Analysis of a 12-year Daily 1-km Forest Fire Dataset Across North America from NOAA/AVHRR Data
title_sort development and analysis of a 12-year daily 1-km forest fire dataset across north america from noaa/avhrr data
publisher Digital Commons @ University of South Florida
publishDate 2007
url https://digitalcommons.usf.edu/geo_facpub/380
https://doi.org/10.1016/j.rse.2006.02.027
geographic Arctic
Canada
geographic_facet Arctic
Canada
genre Arctic
taiga
genre_facet Arctic
taiga
op_source School of Geosciences Faculty and Staff Publications
op_relation https://digitalcommons.usf.edu/geo_facpub/380
doi:10.1016/j.rse.2006.02.027
https://doi.org/10.1016/j.rse.2006.02.027
op_doi https://doi.org/10.1016/j.rse.2006.02.027
container_title Remote Sensing of Environment
container_volume 108
container_issue 2
container_start_page 198
op_container_end_page 208
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