SAND FRACTION ESTIMATION IN THE TOPSOIL OF THE PANTANAL BIOME: A PRELIMINARY APPROACH USING EMISSIVITY DATA

Autores

DOI:

https://doi.org/10.5380/raega.v63i2.99826

Resumo

The Pantanal Biome is characterized by its high biodiversity of fauna and flora, largely associated with its floodplain. With the increasing occurrence of extreme events such as droughts, floods, and fires, the risks of environmental degradation and the intensification of processes like the increase of sand in the floodplain (sandization) also rise. This study aims to estimate the sand fraction in the surface horizons of the soils in the Pantanal Biome using thermal infrared data. These estimates were obtained from the emissivity data of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED). In addition to emissivity data, elevation and hydrography data were also considered. To estimate the sand fraction, an empirical regression model was employed. Spectral analysis of sandy terrains revealed features associated with the presence of silica (Reststrahlen features), enabling its distinction from green/dry vegetation and water. Normalization of thermal band data allowed the application of a logistic model to estimate the distribution of areas with higher concentrations of sand fraction in the Pantanal soils. The eastern, central, and central southern sections have higher concentrations of the sand fraction. The results suggest a partial a relationship between the sand percentage, small altimetry variations in the biome, and the absence of permanent drainage systems. Further studies should be conducted to validate the model, and caution is recommended when interpreting and using the results presented.

Biografia do Autor

Fábio Marcelo Breunig, UFPR

Holds a degree in Geography from the Federal University of Santa Maria (2006) and both a Master’s and Ph.D. in Remote Sensing from the National Institute for Space Research (2008). Has experience in the field of Geosciences, with an emphasis on Remote Sensing, working mainly on the following topics: vegetation remote sensing with a focus on agriculture and forests, thermal remote sensing, hyperspectral remote sensing, as well as multi-angular and multi-temporal remote sensing.

Edenilson Roberto Nascimento, Departamento de Geografia, Universidade Federal do Paraná – UFPR

https://orcid.org/0000-0002-5204-9709

Tony Vinicius Moreira Sampaio, Departamento de Geografia, Universidade Federal do Paraná – UFPR

https://orcid.org/0000-0002-3339-9025

Elias Fernando Berra, Departamento de Geografia, Universidade Federal do Paraná – UFPR

https://orcid.org/0000-0002-0220-5048

Elaine de Cacia de Lima Frick, Departamento de Geografia, Universidade Federal do Paraná – UFPR

https://orcid.org/0000-0003-0039-0857

Marcos Adami, Divisão de Observação da Terra e Geoinformática (DIOTG), Instituto Nacional de Pesquisas Espaciais – INPE

https://orcid.org/0000-0003-4247-4477

Lênio Soares Galvão, Divisão de Observação da Terra e Geoinformática (DIOTG), Instituto Nacional de Pesquisas Espaciais – INPE

https://orcid.org/0000-0002-8313-0497

Romário Trentin, Departamento de Geociências - UFSM

https://orcid.org/0000-0002-0615-2801

William Gaida, Departamento de Geociências - UFSM

https://orcid.org/0000-0001-9946-0493

Leonardo José Cordeiro Santos, Departamento de Geografia, Universidade Federal do Paraná – UFPR

https://orcid.org/0000-0002-0405-9603

José Guilherme Oliveira, Departamento de Geografia, Universidade Federal do Paraná – UFPR

https://orcid.org/0000-0002-7504-2913

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Publicado

2025-08-20

Como Citar

Breunig, F. M., Nascimento, E. R., Sampaio, T. V. M., Berra, E. F., Frick, E. de C. de L., Adami, M., … Oliveira, J. G. (2025). SAND FRACTION ESTIMATION IN THE TOPSOIL OF THE PANTANAL BIOME: A PRELIMINARY APPROACH USING EMISSIVITY DATA. Ra’e Ga: O Espaço Geográfico Em Análise, 63(2), 57–75. https://doi.org/10.5380/raega.v63i2.99826