Skip to main content
Log in

Bibliometric analysis of surface water detection and mapping using remote sensing in South America

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

The detection and mapping of surface water resources for South America (DMSWSA) in Remote sensing context is a highly relevant issue from a scientific point of view due to the impact on the understanding of changes in the hydrological cycle, water availability, and climate in global terms since 45% of all water resources available on the globe are present on this continent. This study presents a new approach to evaluating the scientific literature of the last 21 years focused on DMSWSA in a Remote sensing scientific literature. Our study aims to carry out a bibliometric analysis on the application of the DMSWSA in a Remote sensing dominium to assess researchers, countries, and trends. We used the Scopus database for the literature search. Then we used bibliometric tools to access information and reveal quantification patterns of literature. Our results show that the most relevant contributions involved Brazil and Argentina. DMSWSA has only shown an expansion in recent years regarding the number of articles published and citations. It was possible to show that the DMSWSA in a Remote sensing scientific area needs further collaboration expansion between countries within South America and beyond this continental border. We reveal aspects of great importance and interest in the literature using bibliometric approaches to give a clear view of research trends for DMSWSA.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

Download references

Acknowledgements

We appreciate comments and suggestions from the anonymous reviewers that helped improve the quality and presentation of the manuscript.

Funding

This work was partly funded by Brazilian Ministry of Defense, Management and Operational Center of the Amazon Protection System (CENSIPAM). Term Of Decentralized Execution (TED) Nº 001/2022, and partly by National Council for Scientific and Technological Development CNPq/MCTI 06/2020, and INCT-GP and MCTI/CNPQ/CAPES/FAPS Nº 16/2014 process 465517/2014–5, PROGRAMA INCT and an additive project entitled "Modeling, remote sensing, and preventive detection of oil/fuel accidents by MCTI/CNPQ/CAPES/FAPS 2019, and partly by the Brazilian Navy, the National Council for Scientific and Technological Development (CNPQ), and the Ministry of Science, Technology, and Innovation (MCTI) called CNPQ/MCTI 06/2020—Research and Development for Coping with Oil Spills on the Brazilian Coast—Ciências do Mar Program, grant #440852/2020–0. During this work, RNV was supported by research fellowships: RNV (CNPQ, process 81330/2021–4). RNV thanks the Brazilian National Council for Scientific and Technological Development (CNPq, grant number 465767/2014–1), the Coordination for Improvement of Higher Educational Personnel (CAPES, grant number 23038.000776/2017–54), and the Research Support Foundation of the State of Bahia (FAPESB, grant number INC0006/2019) for their support to The National Institute of Science and Technology in Interdisciplinary and Transdisciplinary Studies in Ecology and Evolution (INCT IN-TREE). The authors would also like to thank the institutional support provided by MAPBIOMAS-BR as well as the support of partners directly associated with MAPBIOMAS ÁGUA such as WWF—Brazil and Instituto Clima e Sociedade—ICS, project nº G-21–01109.

Author information

Authors and Affiliations

Authors

Contributions

RNV, CADL, ATCL, DPC, SGD, JSBL and ECBC, MJP: conceptualization; RNV, CADL, ATCL, DTMS, ECBC and DPC: methodology; RNV, DPC, SGD, ECBC, DTMS and JSBL: software execution; RNV, CADL, ATCL, LFFM, DTMS and MBG: writing—original draft preparation; RNV, CADL, ATCL, JS, SGD and ECBC: writing—review and editing; RNV, CADL, MJP and ATCL: supervision; CADL, ATCL and MJP: funding acquisition. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Rodrigo N. Vasconcelos.

Supplementary Information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vasconcelos, R.N., Costa, D.P., Duverger, S.G. et al. Bibliometric analysis of surface water detection and mapping using remote sensing in South America. Scientometrics 128, 1667–1688 (2023). https://doi.org/10.1007/s11192-022-04570-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-022-04570-9

Keywords

Navigation