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Tracking and Classifying Amazon Fire Events in Near-Real Time
Exceptional fire activity in 2019 sparked concern about Amazon forest conservation. However, the inability to rapidly separate satellite fire detections by fire type hampered fire suppression and assessment of ecosystem and air quality impacts. Here, we describe the development of a near–real-time approach for tracking contributions from deforestation, forest, agricultural, and savanna fires to burned area and emissions and apply the approach to the 2019 fire season in South America. Across the southern Amazon, 19,700 deforestation fire events accounted for 39% of all satellite active fire detections and the majority of fire carbon emissions (63%; 69 Tg C). Multiday fires accounted for 81% of burned area and 92% of carbon emissions from the Amazon, with many forest fires burning uncontrolled for weeks. Most fire detections from deforestation fires were correctly identified within 2 days (67%), highlighting the potential to improve situational awareness and management outcomes during fire emergencies.
Document ID
20230003149
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Niels Andela ORCID
(Cardiff University Cardiff, United Kingdom)
Douglas C. Morton ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Wilfrid Schroeder ORCID
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Yang Chen ORCID
(University of California, Irvine Irvine, California, United States)
Paulo M. Brando ORCID
(University of California, Irvine Irvine, California, United States)
James T. Randerson ORCID
(University of California, Irvine Irvine, California, United States)
Date Acquired
March 8, 2023
Publication Date
July 29, 2022
Publication Information
Publication: Science Advances
Publisher: American Association for the Advancement of Science
Volume: 8
Issue: 30
Issue Publication Date: July 27, 2022
e-ISSN: 2375-2548
Subject Category
Earth Resources and Remote Sensing
Meteorology and Climatology
Funding Number(s)
WBS: 970315.02.01.01.65
CONTRACT_GRANT: 4000134840/21/I-NB
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
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