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Monitoring forest ecosystems using unmanned aerial vehicles and very high-resolution imagery

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Resumo:The progressive abandonment of traditional forest management, combined with environmental changes, has let to an increase in biotic stressors such as pests and diseases and the proliferation of invasive alien plants (Peñuelas & Sardans, 2021). Gathering field indicators for decision-making is particularly challenging due to the absence of an aerial perspective of the problem. In this context, remote sensing through unmanned aerial vehicles (UAV) and very high-resolution satellite imagery provides comprehensive understand of the disturbances taking place (Hao et al., 2024). To support forest stakeholders, we propose establishing standardized protocols for data collection using UAVs in a local scale. Additionally, we intend to apply artificial intelligence algorithms to the images in order to automatically detect the stressors and their effects. A series of three studies are presented in this work. First, we preformed a systematic literature review about recent advances in pest and diseases monitoring using UAV based data (FIPD). Secondly, We conducted a practical study to detect pest damages, and finally, the last study focuses on detecting Acacia longifolia flowering in RGB imagery.
Autores principais:Duarte, André
Outros Autores:Cabral, Pedro; Borralho, Nuno; Caetano, Mário
Assunto:SDG 15 - Life on Land
Ano:2024
País:Portugal
Tipo de documento:póster em conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL

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