COMPARISON BETWEEN DIFFERENT VERSIONS OF INPE'S FIRE RISK MODEL FOR THE BRAZILIAN BIOMES

Fires are intrinsic disturbances in ecosystems functioning and structure in fire-prone biomes. In recent decades there has been an increase in the number of fire events in Brazilian biomes, especially due to misuse of fire in the land use and deforestation. The spatial and temporal pattern fire risk...

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Main Authors: G. Martins, J. Nogueira, A. Setzer, F. Morelli
Format: Article
Language:English
Published: Copernicus Publications 2020-11-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/119/2020/isprs-archives-XLII-3-W12-2020-119-2020.pdf
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spelling doaj-e10b83ee2cce457b8629e99d5bd415332020-11-25T04:09:05ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-11-01XLII-3-W12-202011912410.5194/isprs-archives-XLII-3-W12-2020-119-2020COMPARISON BETWEEN DIFFERENT VERSIONS OF INPE'S FIRE RISK MODEL FOR THE BRAZILIAN BIOMESG. Martins0J. Nogueira1A. Setzer2F. Morelli3Satellite Division and Environmental Systems, Center for Weather Forecast and Climate Studies (CPTEC), National Institute for Space Research (INPE), Sao Jose dos Campos, BrazilSatellite Division and Environmental Systems, Center for Weather Forecast and Climate Studies (CPTEC), National Institute for Space Research (INPE), Sao Jose dos Campos, BrazilSatellite Division and Environmental Systems, Center for Weather Forecast and Climate Studies (CPTEC), National Institute for Space Research (INPE), Sao Jose dos Campos, BrazilSatellite Division and Environmental Systems, Center for Weather Forecast and Climate Studies (CPTEC), National Institute for Space Research (INPE), Sao Jose dos Campos, BrazilFires are intrinsic disturbances in ecosystems functioning and structure in fire-prone biomes. In recent decades there has been an increase in the number of fire events in Brazilian biomes, especially due to misuse of fire in the land use and deforestation. The spatial and temporal pattern fire risk is a important way to understanding the seasonality and intensity of fire in different climate and fuel conditions. However, consistent long-term assessment at biome level is only possible with the support of remote sensing and modeling information. Thus, the objective of this work was to evaluate the fire risk patterns for the Brazilian biomes in the last years (2015–2018), using the new version of INPE’s fire risk (FR, v2). Regarding the temporal and spatial FR patterns by this new version from FR model, we evaluated that elevation and latitude correction factors, as well as the meteorological and land cover datasets with finer spatial scales can be contributed to adjust better the fire season vulnerability, notably in the less prone-biomes, such as Mata Atlantica, Pampa and Pantanal. However, there is still a need for adjustment to match the spatial active fire distribution, considering a biomass (fuel) map and the vegetation water status indicators. These improvements help to inform with more accuracy the most fire prone areas to define the strategies and decisions for fire combat and management.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/119/2020/isprs-archives-XLII-3-W12-2020-119-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author G. Martins
J. Nogueira
A. Setzer
F. Morelli
spellingShingle G. Martins
J. Nogueira
A. Setzer
F. Morelli
COMPARISON BETWEEN DIFFERENT VERSIONS OF INPE'S FIRE RISK MODEL FOR THE BRAZILIAN BIOMES
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet G. Martins
J. Nogueira
A. Setzer
F. Morelli
author_sort G. Martins
title COMPARISON BETWEEN DIFFERENT VERSIONS OF INPE'S FIRE RISK MODEL FOR THE BRAZILIAN BIOMES
title_short COMPARISON BETWEEN DIFFERENT VERSIONS OF INPE'S FIRE RISK MODEL FOR THE BRAZILIAN BIOMES
title_full COMPARISON BETWEEN DIFFERENT VERSIONS OF INPE'S FIRE RISK MODEL FOR THE BRAZILIAN BIOMES
title_fullStr COMPARISON BETWEEN DIFFERENT VERSIONS OF INPE'S FIRE RISK MODEL FOR THE BRAZILIAN BIOMES
title_full_unstemmed COMPARISON BETWEEN DIFFERENT VERSIONS OF INPE'S FIRE RISK MODEL FOR THE BRAZILIAN BIOMES
title_sort comparison between different versions of inpe's fire risk model for the brazilian biomes
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2020-11-01
description Fires are intrinsic disturbances in ecosystems functioning and structure in fire-prone biomes. In recent decades there has been an increase in the number of fire events in Brazilian biomes, especially due to misuse of fire in the land use and deforestation. The spatial and temporal pattern fire risk is a important way to understanding the seasonality and intensity of fire in different climate and fuel conditions. However, consistent long-term assessment at biome level is only possible with the support of remote sensing and modeling information. Thus, the objective of this work was to evaluate the fire risk patterns for the Brazilian biomes in the last years (2015–2018), using the new version of INPE’s fire risk (FR, v2). Regarding the temporal and spatial FR patterns by this new version from FR model, we evaluated that elevation and latitude correction factors, as well as the meteorological and land cover datasets with finer spatial scales can be contributed to adjust better the fire season vulnerability, notably in the less prone-biomes, such as Mata Atlantica, Pampa and Pantanal. However, there is still a need for adjustment to match the spatial active fire distribution, considering a biomass (fuel) map and the vegetation water status indicators. These improvements help to inform with more accuracy the most fire prone areas to define the strategies and decisions for fire combat and management.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/119/2020/isprs-archives-XLII-3-W12-2020-119-2020.pdf
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