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

Abstract

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 the island of Santa Catarina. 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.

Opções para a gestão e o manejo de espécies exóticas invasoras

“…O monitoramento com uso de drones para fins de detecção precoce em ambientes abertos como campos e restingas é promissor especialmente para espécies arbóreas como acácias (Acacia mangium), pinheiros-americanos (Pinus spp.) e casuarina (Casuarina equisetifolia) (Lehmann et al 2017, Gonçalves et al 2022, Simberloff 2022. Adicionalmente, constelações de nanosatélites, assim como satélites gerando imagens de alta resolução, podem vir a substituir drones para uso na detecção precoce de espécies invasoras (Simberloff 2022).…”

Relatório temático sobre espécies exóticas invasoras, biodiversidade e serviços ecossistêmicos

“…O monitoramento com uso de drones para fins de detecção precoce em ambientes abertos como campos e restingas é promissor especialmente para espécies arbóreas como acácias (Acacia mangium), pinheiros-americanos (Pinus spp.) e casuarina (Casuarina equisetifolia) (Lehmann et al 2017, Gonçalves et al 2022, Simberloff 2022. Adicionalmente, constelações de nanosatélites, assim como satélites gerando imagens de alta resolução, podem vir a substituir drones para uso na detecção precoce de espécies invasoras (Simberloff 2022).…”

Active Actions in the Extraction of Urban Objects for Information Quality and Knowledge Recommendation with Machine Learning

“…From this perspective, limitations are noted in many existing datasets, metrics employed for evaluation, and the degree to which results express the domain of a problem. As [ 18 , 19 , 20 ] state, changes are needed in the way research is conducted to increase the impact of ML, and six impact challenges are highlighted to focus explicitly on problems. Aiming to inspire further discussions and focus on the implementation of ML is the main contribution of this paper, highlighting: (1) regulatory framework for use and implementation, (2) cost reduction with rules for informed decision making, (3) avoiding conflicts of interest between nations, (4) extending cyber security through defenses, (5) saving human lives with diagnostics or recommendations, and (6) improving the Human Development Index (HDI) with at least 10% fair taxation in the country.…”