Remote sensing applied to biophysical parameters and land cover to identify urban heat islands in Recife (PE), Brazil
Urban growth results in several changes, mainly related to demographic, social, economic, and environmental aspects, leading to a new connotation in the use and occupation of land. This new scenario impacts the local energy balance, creating what is called an “urban heat island”. This study aims to investigate the occurrence of urban heat islands in Recife city, the capital of Pernambuco, Brazil, based on the processing of biophysical parameters, the classification of land use and occupation, and surface temperature. The orbital images of the study region were obtained and processed using the Google Earth Engine cloud processing platform from 2013 to 2021. The results showed an increase in areas with greater urban density and a reduction in areas with vegetation. It was realized that in regions with greater urban density, the surface temperature observed was up to 5.20°C higher than in the area with vegetation.
Authors
- Sylvana Melo dos Santos (ORCID: https://orcid.org/0000-0003-3106-5301)
- Leidjane Maria Maciel de Oliveira (ORCID: https://orcid.org/0000-0003-1251-6998)
- Anderson Luiz Ribeiro de Paiva (ORCID: https://orcid.org/0000-0003-3475-1454)
- Haylla Rebeka de Albuquerque Lins Leonardo (ORCID: https://orcid.org/0000-0001-6404-3366)
- Débora Natália Oliveira de Almeida (ORCID: https://orcid.org/0000-0001-6000-6138)
- Alessandro Rodrigues de Amorim (ORCID: https://orcid.org/0009-0001-2839-8036)
Institutions
- Universidade Federal de Pernambuco (BR)
Publication Details
- Journal
- Revista Brasileira de Ciências Ambientais
- Published
- 2024-11-28
- DOI
- https://doi.org/10.5327/z2176-94782107
- Primary Topic
- Urban Heat Island Mitigation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco
- U.S. Geological Survey