Artificial intelligence in urban forestry-A systematic review

Autor(es)

de Lima Araujo, Henrique Cesar ; Martins, Fellipe Silva ; Philippi Cortese, Tatiana Tucunduva ; Locosselli, Giuliano Maselli

• Tipo de documento: Artigo Científico
• Fonte: URBAN FORESTRY & URBAN GREENING; v. 66, p. 11-pg., 2021-12-01.

Resumo

Environmental quality and the citizens' well-being largely depend on the urban forests. But managing this natural capital is challenging for its biological complexity and interactions with other environmental, social, and economic aspects of the cities. In line with the current digital revolution with the rise of Smart Cities, the use of Artificial Intelligence (AI) is becoming more common, including in urban forestry. In this systematic review, we evaluated 67 studies on the interplay between AI and urban forestry surveyed on Science Direct and Scopus to provide an overview of the state of the art and identify new research avenues. The sample includes studies in 23 countries and 85 cities, including 5 megacities, comprising the remote assessment of canopy cover and species distribution; ecosystem services assessment; management practices; and socioeconomic aspects of urban forestry. Most studies focused on extant urban forests, with few examples evaluating temporal trends, and only one focused on future scenarios despite the predictive potential of AI. A total of 22 AI methods were employed in these studies. Only half of them point to clear advantages of the chosen methods, such as robustness against missing data, overfitting, collinearity, non-linearity, non-normality, the combination of discrete and continuous variables, and higher accuracy. The choice of these methods depends on the various combinations of aim, timescale, data type, and data source. The application of AI in urban forestry is in full growth and will support decision making to improve livability in the cities. (AU)

• Processo FAPESP: 19/08783-0 - Florestas funcionais: biodiversidade a favor das cidades
• Beneficiário: Giuliano Maselli Locosselli
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores
• Processo FAPESP: 20/09251-0 - Florestas funcionais: biodiversidade a favor das cidades
• Beneficiário: Giuliano Maselli Locosselli
• Modalidade de apoio: Bolsas no Brasil - Jovens Pesquisadores
• Processo FAPESP: 17/50341-0 - Desafios para conservação da biodiversidade frente às mudanças climáticas, poluição e uso e ocupação do solo (PDIp)
• Beneficiário: Luiz Mauro Barbosa
• Modalidade de apoio: Auxílio à Pesquisa - Programa Modernização de Institutos Estaduais de Pesquisa