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Urban Ecosystem Services Quantification through Remote Sensing Approach: A Systematic Review

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Postgraduate Program in Environmental Sciences, State University of Pará (UEPA), 66095-100 Belém, Brazil
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Operations and Management Center of the Amazon Protection System (CENSIPAM), 66617-420 Belém, Brazil
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Earth Sciences Institute (ICT) and Faculty of Sciences (FCUP), University of Porto, 4169-007 Porto, Portugal
*
Author to whom correspondence should be addressed.
Environments 2019, 6(5), 51; https://doi.org/10.3390/environments6050051
Received: 23 April 2019 / Revised: 6 May 2019 / Accepted: 7 May 2019 / Published: 9 May 2019
Urban ecosystem services (UES) is an essential approach to the development of sustainable cities and must be incorporated into urban planning to be able to improve humans’ life quality. This paper aimed to identify remote sensing (RS) data/techniques used in the literature in five years (2013–2017) for UES investigation and to analyze the similarity between them. For this purpose, we used the Scopus database of scientific journals, and a set of appropriate filters were applied. A total of 44 studies were selected, being 93.18% of them located in the Northern Hemisphere, mostly in Europe. The most common dataset used was the secondary data, followed by the Landsat family products. Land use and land cover (LULC) was the most common approach utilized, succeeded by radiometric indexes and band related. All four main classes (provision, regulation, supporting, and cultural) of ecosystem services (ES) were identified in the reviewed papers, wherein regulating services were the most popular modality mentioned. Seven different groups were established as having 100% of similarity between methods and ES results. Therefore, RS is identified in the literature as an important technique to reach this goal. However, we highlight the lack of studies in the southern hemisphere. View Full-Text
Keywords: urban planning; urban land cover; spatial analysis; urban forest; satellite data; human well-being; urbanization urban planning; urban land cover; spatial analysis; urban forest; satellite data; human well-being; urbanization
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Tavares, P.A.; Beltrão, N.; Guimarães, U.S.; Teodoro, A.; Gonçalves, P. Urban Ecosystem Services Quantification through Remote Sensing Approach: A Systematic Review. Environments 2019, 6, 51.

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