Assessment of spectral indexes for estimating soil water content in the Brazilian Pantanal

Authors

DOI:

https://doi.org/10.5902/2179460X42724

Keywords:

Pasture, Remote sensing, Landsat 5

Abstract

The Pantanal is the largest floodplain of the globe occupying 138,183 km2 in Brazil. The fundamental ecological factor of interaction between the Pantanal ecosystems is the flooding regime. Connected to properties of the soil-plant-atmosphere system, knowledge on the soil water content becomes increasingly necessary. The high temporal and spatial variability of water content in the soil caused by the vast heterogeneity of soil texture, vegetation, topography and climate makes it a difficult physical variable to be measured. However, its spatial and temporal variability can be determined by recent modern techniques of remote sensing based on data obtained by microwave or infrared sensors. Thus, the aim of this study was to evaluate the accuracy of vegetation and soil water indexes through satellite images from Landsat 5 in the northern Brazilian Pantanal. The study was conducted in a pasture, experimental site in the Northern Pantanal in Mato Grosso state. Soil moisture was measured using a TDR probe installed at 10 cm depth in the period from 2009 to 2011. For comparison, spectral indexes and the surface temperature provided by Geological Survey (USGS) were used, these indexes are derived from bands ratios of satellite reflectance products Landsat 5 TM. The data evaluation was performed using some indicators: accuracy - Willmott index, Root Mean Square Error and the Mean Absolute Error. This study demonstrated that the application of remote sensing in the management of water resources is very promising. The indexes correlated with soil moisture measurement. Among the soil water indexes the NBR-2 showed related to soil moisture measurement. For both types of soils EVI had the highest determination coefficient, lowest errors and highest Willmott’s index of agreement.

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Author Biographies

Victor Hugo de Morais Danelichen, Universidade de Cuiabá, Cuiabá, MT

Graduado em Física pela Universidade Federal de Mato Grosso, Mestre em Física Ambiental pela Universidade Federal de Mato Grosso e Doutor em Física Ambiental pela Universidade Federal de Mato Grosso. Tem experiência na área Ciências Ambientais, com ênfase em Micrometeorologia e o uso de Sensores Orbitais nos estudos envolvendo balanço de energia.

Osvaldo Alves Pereira, Universidade de Cuiabá, Cuiabá, MT

Graduado em Licenciatura Plena em Física pela Universidade Federal de Mato Grosso, Mestre em Física Ambiental pela Universidade Federal de Mato Grosso e Doutor em Física Ambiental pela Universidade Federal de Mato Grosso, Graduando em Engenharia da Computação (UNIC). Atualmente é professor da Faculdade de Tecnologia SENAI Mato Grosso e professor da Universidade de Cuiabá.

Marcelo Sacardi Biudes, Universidade Federal de Mato Grosso, Cuiabá, MT

Graduado em Licenciatura Plena em Física e Engenharia Elétrica, Mestre em Física e Meio Ambiente e Doutor em Agricultura Tropical pela Universidade Federal de Mato Grosso (UFMT) e Pós-doutor em Ciências Ambientais na Utah State University (USU) e na California State University, San Marcos (CSUSM). É Professor Associado do Instituto de Física da UFMT e credenciado ao Programa de Pós-Graduação em Física Ambiental da UFMT, onde orienta em níveis de Mestrado e Doutorado e é responsável pela disciplina de Teoria em Física Ambiental I e Balanço de Energia por Sensoriamento Remoto.

José de Souza Nogueira, Universidade Federal de Mato Grosso, Cuiabá, MT

Graduado em Física pela Universidade Federal de Mato Grosso, Mestre em Física Aplicada pela Universidade de São Paulo e Doutor em Ciências pela Universidade de São Paulo. Professor Titular da Universidade Federal de Mato Grosso, Bolsista Produtividade CNPq - nível 1A. Credenciado no Programa de Pós-graduação em Física Ambiental/UFMT. Revisor ad-hoc de diversas revistas científicas nacionais e internacionais e tem cooperação internacional com a California State University, San Marcos.

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Published

2021-03-08 — Updated on 2022-01-04

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How to Cite

Danelichen, V. H. de M., Pereira, O. A., Biudes, M. S., & Nogueira, J. de S. (2022). Assessment of spectral indexes for estimating soil water content in the Brazilian Pantanal. Ciência E Natura, 43, e48. https://doi.org/10.5902/2179460X42724 (Original work published March 8, 2021)

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Vol. 43 (2021): Continuous Publication

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Geo-Sciences

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