Análise Bibliométrica sobre a Aplicação do LiDAR Aerotransportado no Manejo de Impacto Reduzido na Amazônia

Abstract

Reduced-Impact Logging (RIL) is a forest management approach that aims to balance timber extraction with environmental preservation. Airborne LiDAR is a technology that has been shown to be effective in collecting forest data in large areas, such as the Amazon. A bibliometric analysis was conducted to investigate research trends, scientific output, author geography, most cited articles, and keywords in the field of airborne LiDAR in RIL in the Amazon. The results highlighted a notable trend of increasing article production over the years, with 2020 being the year with the most publications. However, a literature gap was also observed in comparison to global LiDAR research. Citation analysis revealed notable works that addressed topics such as forest biomass, biodiversity monitoring, and emission mitigation in tropical forests. Brazil led in number of articles, followed by the United States. The most frequently used keywords highlighted themes such as selective logging, forest degradation, remote sensing, and sustainable forest management. The results highlight the need for greater investment in this field, to fill the literature gap and promote the development of innovative research.

Selective logging, Amazon rainforest, Remote sensing, 3D modeling.