Using Drones for Dendrometric Estimations in Forests: A Bibliometric Analysis

Traditional field inventories have been the standard method for collecting detailed forest attribute data. However, these methods are often time-consuming, labor-intensive, and costly, especially for large areas. In contrast, remote sensing technologies, such as unmanned aerial vehicles (UAVs), have...

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Bibliographic Details
Published in:Forests 2024-11, Vol.15 (11), p.1993
Main Authors: Silva, Bruna Rafaella Ferreira da, Ucella-Filho, João Gilberto Meza, Bispo, Polyanna da Conceição, Elera-Gonzales, Duberli Geomar, Silva, Emanuel Araújo, Ferreira, Rinaldo Luiz Caraciolo
Format: Article
Language:English
Subjects:
Brazil
China
Collaboration
Drone aircraft
Forest ecosystems
Forests
Forests and forestry
Image contrast
Image resolution
Remote sensing
Sensors
Technology assessment
Terrestrial ecosystems
Trees
United States
Unmanned aerial vehicles
Citations: Items that this one cites
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Summary:Traditional field inventories have been the standard method for collecting detailed forest attribute data. However, these methods are often time-consuming, labor-intensive, and costly, especially for large areas. In contrast, remote sensing technologies, such as unmanned aerial vehicles (UAVs), have become viable alternatives for collecting forest structure data, providing high-resolution images, precision, and the ability to use various sensors. To explore this trend, a bibliometric review was conducted using the Scopus database to examine the evolution of scientific publications and assess the current state of research on using UAVs to estimate dendrometric variables in forest ecosystems. A total of 454 studies were identified, with 199 meeting the established inclusion criteria for further analysis. The findings indicated that China and the United States are the leading contributors to this research domain, with a notable increase in journal publications over the past five years. The predominant focus has been on planted forests, particularly utilizing RGB sensors attached to UAVs for variable estimation. The primary variables assessed using UAV technology include total tree height, DBH, above-ground biomass, and canopy area. Consequently, this review has highlighted the most influential studies in the field, establishing a foundation for future research directions.
ISSN:1999-4907
1999-4907
DOI:10.3390/f15111993