Your browser doesn't support javascript.
loading
Tracking and classifying Amazon fire events in near real time.
Andela, Niels; Morton, Douglas C; Schroeder, Wilfrid; Chen, Yang; Brando, Paulo M; Randerson, James T.
Afiliação
  • Andela N; School of Earth and Environmental Sciences, Cardiff University, Cardiff, UK.
  • Morton DC; BeZero Carbon, London, UK.
  • Schroeder W; Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA.
  • Chen Y; NOAA NESDIS, College Park, MD 20740, USA.
  • Brando PM; Department of Earth System Science, University of California, Irvine, CA 92697, USA.
  • Randerson JT; Department of Earth System Science, University of California, Irvine, CA 92697, USA.
Sci Adv ; 8(30): eabd2713, 2022 Jul 29.
Article em En | MEDLINE | ID: mdl-35905176
ABSTRACT
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido