Avaliação Temporal da Dinâmica de Regeneração da Vegetação em Áreas Queimadas no Pantanal
The Pantanal, one of the most conserved biomes in Brazil, has been suffering from alterations in the hydrological cycle, fires, and the expansion of agribusiness. The constant and continuous fires in this biome cause immeasurable environmental damage due to its characteristic long dry periods with l...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | Brasil |
| Institución: | Universidade Federal de Uberlândia (UFU) |
| Repositorio: | Revista brasileira de cartografia - RBC (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.www.seer.ufu.br:article/66772 |
| Acceso en línea: | https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/66772 |
| Access Level: | acceso abierto |
| Palabra clave: | Incêndios Florestais Índices de vegetação Pluviosidade Forest Fire Vegetation Index Rainfall |
| Sumario: | The Pantanal, one of the most conserved biomes in Brazil, has been suffering from alterations in the hydrological cycle, fires, and the expansion of agribusiness. The constant and continuous fires in this biome cause immeasurable environmental damage due to its characteristic long dry periods with low humidity and high temperature. In this sense, the present study analyzed the dynamics of post-burn vegetation regeneration and biomass production in the Pantanal biome by means of derivatives of temporal (seasonal) profiles of the NDVI (Normalized Vegetation Index) vegetation index and the NBR (Normalized Burn Ratio Index) burn index. For mapping and identification of burned areas, an algorithm implemented in Google Earth Engine was used, and MOD14A2 active fire products derived from MODIS sensor images. Seven burned areas were selected in September/2016 and the Landsat8 Surface Reflectance Tier1 data collection from April 2013 to September 2020 was used to calculate the indices. According to the analyses, two areas were not able to recover after the fire event. However, in all areas the indices returned to values similar to those found in the year before the fire. In addition, the rainfall of the location was a determining factor in defining the effect of the burn and biomass production, with areas in locations with higher rainfall being the least affected by the effect of the burns. Based on the results of this study, the indices used proved to be efficient in identifying burned areas and in classifying the regeneration potential of these areas. |
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