Monitoring water quality in two dammed reservoirs from multispectral satellite data
Autor: | Claudia Giardino, Thomas Heege, Hendrik Bernet, Loretta Cabras, Giorgos Bazdanis, Maria Antonietta Dessena, Apostolos Tzimas, Daniela Stroppiana, Mariano Bresciani, Karin Schenk, Paola Buscarinu |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Atmospheric Science
Chlorophyll a 010504 meteorology & atmospheric sciences landsat Multispectral image 0211 other engineering and technologies 02 engineering and technology 01 natural sciences lcsh:Oceanography chemistry.chemical_compound water management Satellite data lcsh:GC1-1581 Computers in Earth Sciences Turbidity lake Image resolution 021101 geological & geomatics engineering 0105 earth and related environmental sciences General Environmental Science Remote sensing Multispectral data surface water temperature Applied Mathematics lcsh:QE1-996.5 turbidity lcsh:Geology chemistry chlorophyll-a Environmental science Water quality Sentinel-2 |
Zdroj: | European Journal of Remote Sensing (2019). doi:10.1080/22797254.2019.1686956 info:cnr-pdr/source/autori:Mariano Bresciani a, Claudia Giardino a, Daniela Stroppiana a, Maria Antonietta Dessena b, Paola Buscarinu b, Loretta Cabras b, Karin Schenk c, Thomas Heege c, Hendrik Bernet c, Giorgos Bazdanis d and Apostolos Tzimas e/titolo:Monitoring water quality in two dammed reservoirs from multispectral satellite data/doi:10.1080%2F22797254.2019.1686956/rivista:European Journal of Remote Sensing/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume European Journal of Remote Sensing, Vol 52, Iss 0, Pp 113-122 (2019) |
Popis: | 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 km2) 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. |
Databáze: | OpenAIRE |
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