Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, Brazil
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Keywords

SAR
Sentinel 1
Interferometric coherence
Urban environment
Urban objects

How to Cite

LIMA RAMOS BARBOSA, F.; FONTES GUIMARÃES, R.; ABÍLIO DE CARVALHO JÚNIOR, O.; ARNALDO TRANCOSO GOMES, R. Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, Brazil. Sociedade & Natureza, [S. l.], v. 33, 2021. DOI: 10.14393/SN-v33-2021-55954. Disponível em: https://seer.ufu.br/index.php/sociedadenatureza/article/view/55954. Acesso em: 21 jun. 2024.

Abstract

The social and environmental challenges are directly related to the
existing population concentration in urban environments, which
contribute to more than 75% of the world’s Gross Domestic Product
(GDP). Thus, it is essential to detect the dynamics of Land Use and
Land Cover (LULC) aiming to support public policies elaboration and
implementation. SAR systems, especially the interferometry
techniques, have been shown great results in face of this challenge,
since they do not have direct influence from the atmosphere. Limited
studies were conducted using interferometric coherence from the Sentinel-1 satellite in an urban environment. In this sense, the
objective of this study was to classify the LULC of part of the Federal
District, Brazil based on different dimensions considering the measures
of intensity and interferometric coherence for the year 2018. The results
measured from the Kappa and F1 metrics indicate that the insertion of
a time series of interferometric coherencies improves the performance of
the classification, from 0.50 to 0.75 (Kappa) and from 0.54to 0.79 (F1), a
fact that was evident in the improved performance of the thematic
classes related to vegetation cover. Furthermore, it is also found that
the identification of urban objects is best represented by the use of only
the intensities (VV and VH) in the classification process.

https://doi.org/10.14393/SN-v33-2021-55954
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PDF-en

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