Evaluating the feasibility of using Sentinel-2 imagery for water clarity assessment in a reservoir. (November 2019)

• Record Type: Journal Article
• Authors: Bonansea, Matias; Ledesma, Micaela; Bazán, Raquel; Ferral, Anabella; German, Alba; O'Mill, Patricia; Rodriguez, Claudia; Pinotti, Lucio
• Is Part Of: Journal of South American earth sciences. Volume 95(2019)
• Publication Date: 2019-11
• Subjects: Aquatic system -- Remote sensing -- Statistical algorithm -- Sentinel-2 mission -- Water quality; Geology -- Latin America -- Periodicals; Earth sciences -- Latin America -- Periodicals; Geology -- Antarctica -- Periodicals; Earth sciences -- Antarctica -- Periodicals; Geology -- Caribbean Area -- Periodicals; Earth sciences -- Caribbean Area -- Periodicals; Géologie -- Amérique latine -- Périodiques; Sciences de la terre -- Amérique latine -- Périodiques; Géologie -- Antarctique -- Périodiques; Sciences de la terre -- Antarctique -- Périodiques; Géologie -- Caraïbes (Région) -- Périodiques; Sciences de la terre -- Caraïbes (Région) -- Périodiques; Earth sciences; Geology; Antarctica; Caribbean Area; Latin America; Periodicals; 550.5
• DOI: 10.1016/j.jsames.2019.102265
• Languages: English
• ISSNs: 0895-9811

Abstract

Abstract: The new Sentinel-2 satellites present a significant scientific opportunity for the study of water quality. The objective of this study was to evaluate the suitability of Sentinel-2 imagery for estimating and mapping Secchi disk transparency (SDT) in Río Tercero reservoir (Córdoba-Argentina). Field observations and a dataset of atmospherically corrected Sentinel-2 images were used to generate and validate an algorithm to estimate water clarity in the studied reservoir. As a real application of the used methodology, the validated algorithm was used to obtain a spatial representation of water clarity in the reservoir during sampling campaigns. Results demonstrate capabilities of Sentinel-2 mission to make a substantial contribution to the current assessment and understanding of aquatic systems by estimating and mapping a water quality characteristic. Highlights: New generation of Earth observation satellites improves water quality monitoring. MSI sensor aboard Sentinel-2A/B satellites provides high-resolution observations. Sentinel-2 satellites were used to estimate water clarity in a reservoir surface. Maps created with Sentinel-2 imagery provide rich information of water quality.