Skip to main content
Log in

Implementation of remote sensing algorithms to estimate TOC, Chl-a, and TDS in a tropical water body; Sanalona reservoir, Sinaloa, Mexico

  • Research
  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

The present study implements a methodology to estimate water quality values using statistical tools and remote sensing techniques in a tropical water body Sanalona. Linear regression models developed by Box-Cox transformations and processed data from LANDSAT-8 imagery (bands) were used to estimate TOC, TDS, and Chl-a of the Sanalona reservoir from 2013 to 2020 at five sampling sites measured every 6 months. A band discriminant analysis was carried out to statistically fit and optimize the proposed algorithms. Coefficients of determination beyond 0.9 were obtained for these water quality parameters (r2TOC = 0.90, r2TDS = 0.95, and r2Chl-a = 0.96). A comparison between the estimated and observed water quality was carried out using different data for validation. The validation of the models showed favorable results with R2TOC = 0.8525, R2TDS = 0.8172, and R2Chl-a = 0.9256. The present study implemented, validated, and compared the results obtained by using an ordered and standardized methodology proposed for the estimation of TOC, TDS, and Chl-a values based on water quality parameters measured in the field and using satellite images.

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

Similar content being viewed by others

Data availability

Not applicable

References

Download references

Acknowledgements

The authors thank the Universidad Autonoma de Sinaloa for the resources provided to carry out this work through the Postdoctoral stay in collaboration with CONAHCYT.

Funding

This work was supported by the Autonomous University of Sinaloa (PROFAPI—PRO_A1_012) and by the Tecnologico Nacional de Mexico (Convocatoria Proyectos de Investigación Científica, Desarrollo Tecnológico e Innovación 2023—17107.23-P).

Author information

Authors and Affiliations

Authors

Contributions

AQC: investigation, writing—original, investigation, software, formal analysis, visualization, data curation, draft preparation, validation, writing—reviewing and editing. SAMA: conceptualization, methodology, writing—original draft preparation, software, formal analysis, visualization, resources, supervision, writing—reviewing and editing. WPR: formal analysis, visualization, data curation, draft preparation, validation, writing—reviewing, and editing. JGRP: conceptualization, methodology, writing—original draft preparation, supervision, writing—reviewing and editing, project administration. All authors commented on previous versions of the manuscript. All authors read and agreed to the final manuscript.

Corresponding author

Correspondence to Sergio Alberto Monjardín-Armenta.

Ethics declarations

All authors have read, understood, and have complied as applicable with the statement on “Ethical responsibilities of Authors” as found in the Instructions for Authors.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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

Quevedo-Castro, A., Monjardín-Armenta, S.A., Plata-Rocha, W. et al. Implementation of remote sensing algorithms to estimate TOC, Chl-a, and TDS in a tropical water body; Sanalona reservoir, Sinaloa, Mexico. Environ Monit Assess 196, 175 (2024). https://doi.org/10.1007/s10661-024-12305-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-024-12305-x

Keywords

Navigation