Bibliometric Insights into Terrestrial Laser Scanning for Forest Biomass Estimation
Effective forest management and conservation are increasingly critical in addressing the challenges posed by climate change. Advances in remote sensing technologies, such as terrestrial laser scanning, offer promising tools for more accurate assessments in forestry research. This study explores the...
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MDPI AG
2024-09-01
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| Series: | Ecologies |
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| Online Access: | https://www.mdpi.com/2673-4133/5/3/29 |
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| author | Jorge Luis Compeán-Aguirre Pablito Marcelo López-Serrano |
| author_facet | Jorge Luis Compeán-Aguirre Pablito Marcelo López-Serrano |
| author_sort | Jorge Luis Compeán-Aguirre |
| collection | DOAJ |
| description | Effective forest management and conservation are increasingly critical in addressing the challenges posed by climate change. Advances in remote sensing technologies, such as terrestrial laser scanning, offer promising tools for more accurate assessments in forestry research. This study explores the application of TLS in biomass estimation by conducting a bibliometric analysis of scientific articles indexed in Scopus and the Web of Science. By examining the literature from 2010 to 2024, the study identifies key trends, knowledge gaps, and emerging research opportunities, as well as practical applications in forest management and conservation. The analysis reveals a significant rise in scientific output on TLS, with an average annual growth rate of 8.16%. The most cited works address biomass estimation at the individual tree level using laser scanning data. China and the United States lead in the publication volume with 11 articles. The collaboration network highlights research disparities among regions such as Latin America. Overall, TLS has proven effective for the non-destructive measurement of forest variables and biomass. |
| format | Article |
| id | doaj-art-5e3330b095d147b6b41711f2e2288424 |
| institution | OA Journals |
| issn | 2673-4133 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Ecologies |
| spelling | doaj-art-5e3330b095d147b6b41711f2e22884242025-08-20T01:55:30ZengMDPI AGEcologies2673-41332024-09-015347049010.3390/ecologies5030029Bibliometric Insights into Terrestrial Laser Scanning for Forest Biomass EstimationJorge Luis Compeán-Aguirre0Pablito Marcelo López-Serrano1Institutional Doctorate Program in Agricultural and Forestry Sciences, Juarez University of the State of Durango, Durango 34239, MexicoInstitute of Forestry and Wood Industry, Juarez University of the State of Durango, Durango 34239, MexicoEffective forest management and conservation are increasingly critical in addressing the challenges posed by climate change. Advances in remote sensing technologies, such as terrestrial laser scanning, offer promising tools for more accurate assessments in forestry research. This study explores the application of TLS in biomass estimation by conducting a bibliometric analysis of scientific articles indexed in Scopus and the Web of Science. By examining the literature from 2010 to 2024, the study identifies key trends, knowledge gaps, and emerging research opportunities, as well as practical applications in forest management and conservation. The analysis reveals a significant rise in scientific output on TLS, with an average annual growth rate of 8.16%. The most cited works address biomass estimation at the individual tree level using laser scanning data. China and the United States lead in the publication volume with 11 articles. The collaboration network highlights research disparities among regions such as Latin America. Overall, TLS has proven effective for the non-destructive measurement of forest variables and biomass.https://www.mdpi.com/2673-4133/5/3/29climate changedendrometrylaser scannerpoint cloudthree-dimensionalTLS |
| spellingShingle | Jorge Luis Compeán-Aguirre Pablito Marcelo López-Serrano Bibliometric Insights into Terrestrial Laser Scanning for Forest Biomass Estimation Ecologies climate change dendrometry laser scanner point cloud three-dimensional TLS |
| title | Bibliometric Insights into Terrestrial Laser Scanning for Forest Biomass Estimation |
| title_full | Bibliometric Insights into Terrestrial Laser Scanning for Forest Biomass Estimation |
| title_fullStr | Bibliometric Insights into Terrestrial Laser Scanning for Forest Biomass Estimation |
| title_full_unstemmed | Bibliometric Insights into Terrestrial Laser Scanning for Forest Biomass Estimation |
| title_short | Bibliometric Insights into Terrestrial Laser Scanning for Forest Biomass Estimation |
| title_sort | bibliometric insights into terrestrial laser scanning for forest biomass estimation |
| topic | climate change dendrometry laser scanner point cloud three-dimensional TLS |
| url | https://www.mdpi.com/2673-4133/5/3/29 |
| work_keys_str_mv | AT jorgeluiscompeanaguirre bibliometricinsightsintoterrestriallaserscanningforforestbiomassestimation AT pablitomarcelolopezserrano bibliometricinsightsintoterrestriallaserscanningforforestbiomassestimation |