Monitoring water quality in two dammed reservoirs from multispectral satellite data. (18th December 2019)

• Record Type: Journal Article
• Authors: Bresciani, Mariano; Giardino, Claudia; Stroppiana, Daniela; Dessena, Maria Antonietta; Buscarinu, Paola; Cabras, Loretta; Schenk, Karin; Heege, Thomas; Bernet, Hendrik; Bazdanis, Giorgos; Tzimas, Apostolos
• Is Part Of: European journal of remote sensing. Volume 52(2019)Supplement 4
• Page Start: 113
• Page End: 122
• Publication Date: 2019-12-18
• Subjects: Sentinel-2 -- landsat -- chlorophyll-a -- turbidity -- surface water temperature -- water management; Remote sensing -- Periodicals; Remote sensing; Electronic journals; Periodicals; 621.3678
• DOI: 10.1080/22797254.2019.1686956
• Languages: English
• ISSNs: 2279-7254

Abstract

ABSTRACT: Providing relatively fine spatial resolution multispectral data, Landsat-8, Landsat-7 (L8 and L7, respectively) and Sentinel-2 (S2) from 2013 to 2018 have been used in this study for enabling high-frequency monitoring of water quality of two small (the smaller with an area of 1.6 km 2 ) freshwater dammed reservoirs. Located in Sardinia (Italy) and Crete (Greek), respectively, Mulargia and Aposelemis represent vital resources to supply drinking water in downstream valleys. A total of 400 cloud-free satellite images were turned into information on water quality by using an image processing chain implementing physically based methods for retrieving chlorophyll-a concentration (Chl-a), turbidity, Secchi disk depth (SDD) and surface water temperature. These estimates have been successfully validated (the lower Pearson correlation r was 0.88 for Chl-a) with 23 match-ups of in situ and satellite data. Results of the multi-temporal analyses showed a decrease of SDD due to the increase of Chl-a in Aposelemis or an increase of turbidity in Mulargia. For both freshwater reservoirs, the satellite-derived trophic state index assigned both lakes to mesotrophic conditions. The results finally suggested the effectiveness of S2 and Landsat in increasing, for the latest investigated years, the frequency of observations.