Surface temperature estimation methods and their relationship with urban land use

a systematic review

Authors

  • Yasmin de Almeida Moura Graduanda em Arquitetura e Urbanismo, Bolsista PIBIC, UFMT, Brasil.
  • Luciane Cleonice Durante Professora Doutora, UFMT, Brasil.
  • Ivan Julio Apolônio Callejas Professor Doutor, UFMT, Brasil.

DOI:

https://doi.org/10.18312/verncula.v3i10.3214

Keywords:

Heat islands, Urbanization, Remote sensing

Abstract

The urbanization process generates significant impacts on the urban climate, such as the intensification of heat islands. This study aims to review the methods for estimating surface temperature and their relationship with land use/land cover in urban areas, seeking to identify technological advances in the development of such studies. The methodology consists of a systematic literature review in national and international databases, focusing on publications from the last five years and applying selection criteria based on methodological quality and relevance to the topic. The results highlight the frequent use of Landsat 5 and 8 satellite imagery, processed with Geographic Information System (GIS) software, such as ArcGIS and QuantumGIS (QGIS). For land use classification, analyses have been conducted using the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Built-up Index (NDBI), while surface temperature estimation is performed using Planck's Equation. Recent advances include the application of machine learning techniques, the development of new biophysical indices, and improvements in analytical accuracy.

Published

2025-09-01 — Updated on 2025-10-30

Versions

How to Cite

Moura, Y. de A., Durante, L. C., & Callejas, I. J. A. (2025). Surface temperature estimation methods and their relationship with urban land use: a systematic review. VERNÁCULA - Territórios Contemporâneos, 3(10). https://doi.org/10.18312/verncula.v3i10.3214 (Original work published September 1, 2025)

Most read articles by the same author(s)