Bibliometric Analysis of Land Degradation Studies in Drylands Using Remote Sensing Data: A 40-Year Review
Drylands are vast and face threats from climate change and human activities. Traditional reviews cannot capture interdisciplinary knowledge, but bibliometric analysis provides valuable insights. Our study conducted bibliometric research of scientific production on climate change and land degradation...
Main Authors: | , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
|
Series: | Land |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-445X/12/9/1721 |
_version_ | 1797579205585666048 |
---|---|
author | Diêgo P. Costa Stefanie M. Herrmann Rodrigo N. Vasconcelos Soltan Galano Duverger Washinton J. S. Franca Rocha Elaine C. B. Cambuí Jocimara S. B. Lobão Ellen M. R. Santos Jefferson Ferreira-Ferreira Mariana Oliveira Leonardo da Silva Barbosa André T. Cunha Lima Carlos A. D. Lentini |
author_facet | Diêgo P. Costa Stefanie M. Herrmann Rodrigo N. Vasconcelos Soltan Galano Duverger Washinton J. S. Franca Rocha Elaine C. B. Cambuí Jocimara S. B. Lobão Ellen M. R. Santos Jefferson Ferreira-Ferreira Mariana Oliveira Leonardo da Silva Barbosa André T. Cunha Lima Carlos A. D. Lentini |
author_sort | Diêgo P. Costa |
collection | DOAJ |
description | Drylands are vast and face threats from climate change and human activities. Traditional reviews cannot capture interdisciplinary knowledge, but bibliometric analysis provides valuable insights. Our study conducted bibliometric research of scientific production on climate change and land degradation in drylands using remote sensing. We examined 1527 Scopus-indexed publications to identify geographic and thematic hotspots, extracting leading authors, journals, and institutions. China leads in publications, followed by the US, Germany, and Australia. The US has the highest citation count. Collaboration networks involve the US, China, and European countries. There has been an exponential increase in remote sensing of land degradation in drylands (RSLDD) publications since 2011. Key journals include “International Journal of Remote Sensing” and “Remote Sensing of Environment”. The analysis highlights the growing interest in the field, driven by Australia, the US, and China. Key areas of study are vegetation dynamics and land use change. Future perspectives for this scientific field involve promoting collaboration and exploring emerging technologies for comprehensive land degradation and desertification research. |
first_indexed | 2024-03-10T22:32:36Z |
format | Article |
id | doaj.art-0aa3334ccef8497cb744b17857ad8d02 |
institution | Directory Open Access Journal |
issn | 2073-445X |
language | English |
last_indexed | 2024-03-10T22:32:36Z |
publishDate | 2023-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Land |
spelling | doaj.art-0aa3334ccef8497cb744b17857ad8d022023-11-19T11:33:59ZengMDPI AGLand2073-445X2023-09-01129172110.3390/land12091721Bibliometric Analysis of Land Degradation Studies in Drylands Using Remote Sensing Data: A 40-Year ReviewDiêgo P. Costa0Stefanie M. Herrmann1Rodrigo N. Vasconcelos2Soltan Galano Duverger3Washinton J. S. Franca Rocha4Elaine C. B. Cambuí5Jocimara S. B. Lobão6Ellen M. R. Santos7Jefferson Ferreira-Ferreira8Mariana Oliveira9Leonardo da Silva Barbosa10André T. Cunha Lima11Carlos A. D. Lentini12Interdisciplinary Center for Energy and Environment (CIEnAm), Federal University of Bahia UFBA, Salvador 40170-115, Bahia, BrazilSchool of Natural Resources and the Environment (SNRE), The University of Arizona, 1064 E. Lowell St, Tucson, AZ 85721, USAGEODATIN—Data Intelligence and Geoinformation, Bahia Technological Park Rua Mundo, 121—Trobogy, Salvador 41301-110, Bahia, BrazilGEODATIN—Data Intelligence and Geoinformation, Bahia Technological Park Rua Mundo, 121—Trobogy, Salvador 41301-110, Bahia, BrazilPostgraduate Program in Earth Modeling and Environmental Sciences—PPGM, State University of Feira de Santana-UEFS, Feira de Santana 44036-900, Bahia, BrazilPostgraduate Program in Applied Ecology (Professional Master’s), Institute of Biology, Federal University of Bahia—UFBA, Salvador 40170-115, Bahia, BrazilPostgraduate Program in Earth Modeling and Environmental Sciences—PPGM, State University of Feira de Santana-UEFS, Feira de Santana 44036-900, Bahia, BrazilPostgraduate Program in Earth Modeling and Environmental Sciences—PPGM, State University of Feira de Santana-UEFS, Feira de Santana 44036-900, Bahia, BrazilWorld Resources Institute Brasil, Rua Cláudio Soares, 72 Cj. 1510, São Paulo 05422-030, São Paulo, BrazilWorld Resources Institute Brasil, Rua Cláudio Soares, 72 Cj. 1510, São Paulo 05422-030, São Paulo, BrazilWorld Resources Institute Brasil, Rua Cláudio Soares, 72 Cj. 1510, São Paulo 05422-030, São Paulo, BrazilInterdisciplinary Center for Energy and Environment (CIEnAm), Federal University of Bahia UFBA, Salvador 40170-115, Bahia, BrazilInterdisciplinary Center for Energy and Environment (CIEnAm), Federal University of Bahia UFBA, Salvador 40170-115, Bahia, BrazilDrylands are vast and face threats from climate change and human activities. Traditional reviews cannot capture interdisciplinary knowledge, but bibliometric analysis provides valuable insights. Our study conducted bibliometric research of scientific production on climate change and land degradation in drylands using remote sensing. We examined 1527 Scopus-indexed publications to identify geographic and thematic hotspots, extracting leading authors, journals, and institutions. China leads in publications, followed by the US, Germany, and Australia. The US has the highest citation count. Collaboration networks involve the US, China, and European countries. There has been an exponential increase in remote sensing of land degradation in drylands (RSLDD) publications since 2011. Key journals include “International Journal of Remote Sensing” and “Remote Sensing of Environment”. The analysis highlights the growing interest in the field, driven by Australia, the US, and China. Key areas of study are vegetation dynamics and land use change. Future perspectives for this scientific field involve promoting collaboration and exploring emerging technologies for comprehensive land degradation and desertification research.https://www.mdpi.com/2073-445X/12/9/1721desertificationdryland degradationarid land transformationdeterioration of land qualitydryland monitoringsatellite imagery analysis |
spellingShingle | Diêgo P. Costa Stefanie M. Herrmann Rodrigo N. Vasconcelos Soltan Galano Duverger Washinton J. S. Franca Rocha Elaine C. B. Cambuí Jocimara S. B. Lobão Ellen M. R. Santos Jefferson Ferreira-Ferreira Mariana Oliveira Leonardo da Silva Barbosa André T. Cunha Lima Carlos A. D. Lentini Bibliometric Analysis of Land Degradation Studies in Drylands Using Remote Sensing Data: A 40-Year Review Land desertification dryland degradation arid land transformation deterioration of land quality dryland monitoring satellite imagery analysis |
title | Bibliometric Analysis of Land Degradation Studies in Drylands Using Remote Sensing Data: A 40-Year Review |
title_full | Bibliometric Analysis of Land Degradation Studies in Drylands Using Remote Sensing Data: A 40-Year Review |
title_fullStr | Bibliometric Analysis of Land Degradation Studies in Drylands Using Remote Sensing Data: A 40-Year Review |
title_full_unstemmed | Bibliometric Analysis of Land Degradation Studies in Drylands Using Remote Sensing Data: A 40-Year Review |
title_short | Bibliometric Analysis of Land Degradation Studies in Drylands Using Remote Sensing Data: A 40-Year Review |
title_sort | bibliometric analysis of land degradation studies in drylands using remote sensing data a 40 year review |
topic | desertification dryland degradation arid land transformation deterioration of land quality dryland monitoring satellite imagery analysis |
url | https://www.mdpi.com/2073-445X/12/9/1721 |
work_keys_str_mv | AT diegopcosta bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT stefaniemherrmann bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT rodrigonvasconcelos bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT soltangalanoduverger bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT washintonjsfrancarocha bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT elainecbcambui bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT jocimarasblobao bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT ellenmrsantos bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT jeffersonferreiraferreira bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT marianaoliveira bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT leonardodasilvabarbosa bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT andretcunhalima bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview AT carlosadlentini bibliometricanalysisoflanddegradationstudiesindrylandsusingremotesensingdataa40yearreview |