Fernandes, R.; Nascimento, V.; Freitas, M.; Ometto, J. Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review. Remote Sens.2023, 15, 884.
Fernandes, R.; Nascimento, V.; Freitas, M.; Ometto, J. Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review. Remote Sens. 2023, 15, 884.
Fernandes, R.; Nascimento, V.; Freitas, M.; Ometto, J. Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review. Remote Sens.2023, 15, 884.
Fernandes, R.; Nascimento, V.; Freitas, M.; Ometto, J. Local Climate Zones to Identify Surface Urban Heat Islands: A Systematic Review. Remote Sens. 2023, 15, 884.
Abstract
The Land Surface Temperature (LST) is an essential indicator for analyzing the Surface Urban Heat Island (SUHI). A factor contributing to its occurrence is the reflections of the different materials in urban and rural areas, which significantly affect the energy balance near the surface. Therefore, recent studies have increasingly used the Local Climate Zones (LCZ) classification system to discriminate those urban areas. Therefore, our study aims to do a systematic review using the PRISMA method of LCZ classification applied to understand the LST and the SUHI phenomenon. At first, it was found in the scientific literature 10,403 articles which, after passing through filtering stages, resulted in 51 that were further analyzed. Our results showed that these articles were very recent, beginning in 2016. However, presenting an increasing trend. China was the country with more studies. Landsat and TERRA/AQUA sensors appeared in 82% of the studies. The method that appears the most to LCZ definitions is from the World Urban Database. Finally, considering the current climatic changes, this systematic review can help new studies on SUHI identification through LCZ in different world areas using remote sensing data to estimate the LST.
Keywords
SUHI; LST; LCZ; PRISMA; VosViewer
Subject
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
