Ms. Vinicius Paiva Gonçalves

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6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

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2 January 2021 in Metodologias e Aprendizado

Journal Article

Obtenção de série histórica da evolução da classe Floresta Plantada a partir dos dados de uso e cobertura do solo da Coleção 5 do projeto MapBiomas

Vinicius Paiva Gonçalves

Eduardo Augusto Werneck Ribeiro

Esse trabalho utilizou dados da classificação de uso e cobertura do solo do projeto MapBiomas para avaliar a evolução da classe Floresta Plantada no período de 35 anos para a região da Ilha de Santa Catarina e Baixada do Maciambu, na região da Grande Florianópolis. Os resultados indicaram uma tendência de crescimento que incrementou o valor final em dez vezes quando comparado ao primeiro ano da classificação. Apesar do indicativo de incremento, uma análise da acurácia da classificação precisa ser realizada para subsidiar avaliações de tendência ou buscar correlações. Essa análise poderá ser realizada a partir da comparação com outros produtos cartográficos de maior resolução espacial, ou com base em dados coletados em campo. Essa avaliação poderá indicar possibilidades de melhoria no método de classificação do MapBiomas para a classe temática avaliada, nessa região.

11 June 2022 in Remote Sensing

Journal Article

Mapping Areas Invaded by Pinus sp. from Geographic Object-Based Image Analysis (GEOBIA) Applied on RPAS (Drone) Color Images

Vinicius Paiva Gonçalves

Eduardo Augusto Werneck Ribeiro

Nilton Imai

Invasive alien species reduce biodiversity. In southern Brazil, the genus Pinus is considered invasive, and its dispersal by humans has resulted in this species reaching ecosystems that are more sensitive and less suitable for cultivation, as is the case for the restingas on Santa Catarina Island. Invasion control requires persistent efforts to identify and treat each new invasion case as a priority. In this study, areas invaded by Pinus sp. in restingas were mapped using images taken by a remotely piloted aircraft system (RPAS, or drone) to identify the invasion areas in great detail, enabling management to be planned for the most recently invaded areas, where management is simpler, more effective, and less costly. Geographic object-based image analysis (GEOBIA) was applied on images taken from a conventional RGB camera embedded in an RPAS, which resulted in a global accuracy of 89.56%, a mean kappa index of 0.86, and an F-score of 0.90 for Pinus sp. Processing was conducted with open-source software to reduce operational costs.

About Me

Vinicius Paiva Gonçalves is a biologist who graduated from the Federal University of Santa Catarina (UFSC, Florianópolis/SC) in April 2007 and concluded the stricto sensu post-graduation with the title of Master in Climate and Environment by IFSC in 2021. He is accredited as a technician in surveying by the same institution, completed in February 2020, and he also specialized in environmental education at UNICID, São Paulo, in 2011. He has worked since 2005 in projects in the environmental area (consultancy in environmental licensing and R&D in biodiversity conservation and monitoring of environmental programs). He currently holds the position of analyst in environmental management at IPHAN/SC Superintendence. He previously worked on the construction of the Contorno of Florianópolis, by ALS/Arteris (2015 to 2017), was a developer at the Center for Green Economy (CEV) of CERTI Foundation, Florianópolis (2013 to 2015), and worked at Socioambiental Consultores Associados, also in Florianópolis, where he started as an intern in 2005, remaining until 2013.

Ms. Vinicius Paiva Gonçalves

Ms. Vinicius Paiva Gonçalves

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About Me