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Country-level fire perimeter datasets (2001–2021)
Fire activity is changing across many areas of the globe. Understanding how social and ecological systems respond to fire is an important topic for the coming century. But many countries do not have accessible fire history data. There are several satellite-based products available as gridded data, b...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338977/ https://www.ncbi.nlm.nih.gov/pubmed/35908041 http://dx.doi.org/10.1038/s41597-022-01572-3 |
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author | Mahood, Adam L. Lindrooth, Estelle J. Cook, Maxwell C. Balch, Jennifer K. |
author_facet | Mahood, Adam L. Lindrooth, Estelle J. Cook, Maxwell C. Balch, Jennifer K. |
author_sort | Mahood, Adam L. |
collection | PubMed |
description | Fire activity is changing across many areas of the globe. Understanding how social and ecological systems respond to fire is an important topic for the coming century. But many countries do not have accessible fire history data. There are several satellite-based products available as gridded data, but these can be difficult to access and use, and require significant computational resources and time to convert into a usable product for a specific area of interest. We developed an open source software package called Fire Event Delineation for python (FIREDpy) which automatically downloads and processes all of the source files for an area of interest from the MODIS burned area product, and runs a spatiotemporal flooding algorithm that converts those hundreds of grids into a single fire perimeter shapefile. Here we present a collection of fire event perimeter datasets for every country on the globe that we created using the FIREDpy software. We will continue to improve the efficiency and flexibility of the underlying algorithm, and intend to update these datasets annually. |
format | Online Article Text |
id | pubmed-9338977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93389772022-08-01 Country-level fire perimeter datasets (2001–2021) Mahood, Adam L. Lindrooth, Estelle J. Cook, Maxwell C. Balch, Jennifer K. Sci Data Data Descriptor Fire activity is changing across many areas of the globe. Understanding how social and ecological systems respond to fire is an important topic for the coming century. But many countries do not have accessible fire history data. There are several satellite-based products available as gridded data, but these can be difficult to access and use, and require significant computational resources and time to convert into a usable product for a specific area of interest. We developed an open source software package called Fire Event Delineation for python (FIREDpy) which automatically downloads and processes all of the source files for an area of interest from the MODIS burned area product, and runs a spatiotemporal flooding algorithm that converts those hundreds of grids into a single fire perimeter shapefile. Here we present a collection of fire event perimeter datasets for every country on the globe that we created using the FIREDpy software. We will continue to improve the efficiency and flexibility of the underlying algorithm, and intend to update these datasets annually. Nature Publishing Group UK 2022-07-30 /pmc/articles/PMC9338977/ /pubmed/35908041 http://dx.doi.org/10.1038/s41597-022-01572-3 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Mahood, Adam L. Lindrooth, Estelle J. Cook, Maxwell C. Balch, Jennifer K. Country-level fire perimeter datasets (2001–2021) |
title | Country-level fire perimeter datasets (2001–2021) |
title_full | Country-level fire perimeter datasets (2001–2021) |
title_fullStr | Country-level fire perimeter datasets (2001–2021) |
title_full_unstemmed | Country-level fire perimeter datasets (2001–2021) |
title_short | Country-level fire perimeter datasets (2001–2021) |
title_sort | country-level fire perimeter datasets (2001–2021) |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338977/ https://www.ncbi.nlm.nih.gov/pubmed/35908041 http://dx.doi.org/10.1038/s41597-022-01572-3 |
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