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Towards a whole-system framework for wildfire monitoring using Earth observations.
Crowley, Morgan A; Stockdale, Christopher A; Johnston, Joshua M; Wulder, Michael A; Liu, Tianjia; McCarty, Jessica L; Rieb, Jesse T; Cardille, Jeffrey A; White, Joanne C.
  • Crowley MA; Canadian Forest Service (Great Lakes Forestry Centre), Natural Resources Canada, Sault Sainte Marie, Ontario, Canada.
  • Stockdale CA; Canadian Forest Service (Northern Forestry Centre), Natural Resources Canada, Edmonton, Alberta, Canada.
  • Johnston JM; Canadian Forest Service (Great Lakes Forestry Centre), Natural Resources Canada, Sault Sainte Marie, Ontario, Canada.
  • Wulder MA; Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, British Columbia, Canada.
  • Liu T; Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts, USA.
  • McCarty JL; Department of Geography and Geospatial Analysis Center, Miami University, Oxford, Ohio, USA.
  • Rieb JT; Department of Geography, McGill University, Montréal, Québec, Canada.
  • Cardille JA; Department of Natural Resource Sciences, McGill University, Sainte-Anne-de-Bellevue, Québec, Canada.
  • White JC; Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, British Columbia, Canada.
Glob Chang Biol ; 29(6): 1423-1436, 2023 03.
Article en En | MEDLINE | ID: mdl-36537002
Fire seasons have become increasingly variable and extreme due to changing climatological, ecological, and social conditions. Earth observation data are critical for monitoring fires and their impacts. Herein, we present a whole-system framework for identifying and synthesizing fire monitoring objectives and data needs throughout the life cycle of a fire event. The four stages of fire monitoring using Earth observation data include the following: (1) pre-fire vegetation inventories, (2) active-fire monitoring, (3) post-fire assessment, and (4) multi-scale synthesis. We identify the challenges and opportunities associated with current approaches to fire monitoring, highlighting four case studies from North American boreal, montane, and grassland ecosystems. While the case studies are localized to these ecosystems and regional contexts, they provide insights for others experiencing similar monitoring challenges worldwide. The field of remote sensing is experiencing a rapid proliferation of new data sources, providing observations that can inform all aspects of our fire monitoring framework; however, significant challenges for meeting fire monitoring objectives remain. We identify future opportunities for data sharing and rapid co-development of information products using cloud computing that benefits from open-access Earth observation and other geospatial data layers.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Incendios Forestales / Incendios Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Incendios Forestales / Incendios Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article