Literature DB >> 21243424

Remote sensing as a tool for monitoring water quality parameters for Mediterranean Lakes of European Union water framework directive (WFD) and as a system of surveillance of cyanobacterial harmful algae blooms (SCyanoHABs).

José Antonio Domínguez Gómez1, Covadonga Alonso Alonso, Ana Alonso García.   

Abstract

Remote sensing has been used from the 1980s to study inland water quality. However, it was not until the beginning of the twenty-first century that CHRIS (an experimental multi-angle sensor with good spectral and spatial resolutions) and MERIS (with good temporal and spectral resolutions) started to acquire imagery with very good resolutions, which allowed to develop a reliable imagery acquisition system so as to consider remote sensing as an inland water management tool. This paper presents the methodology developed, from the field data acquisition with which to build a freshwater spectral library and the study of different atmospheric correction systems for CHRIS mode 2 and MERIS images, to the development of algorithms to determine chlorophyll-a and phycocyanin concentrations and bloom sites. All these algorithms allow determining water eutrophic and ecological states, apart from generating surveillance maps of toxic cyanobacteria with the main objective of Assessment of the Water Quality as it was used for Monitoring Ecological Water Quality in smallest Mediterranean Reservoirs integrated in the Intercalibration Exercise of European Union Water Framework Directive (WFD). We keep on using it to monitor the Ecological Quality Ratio (EQR) in Spain inland water.

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Year:  2011        PMID: 21243424     DOI: 10.1007/s10661-010-1831-7

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  Estimation of the remote-sensing reflectance from above-surface measurements.

Authors:  C D Mobley
Journal:  Appl Opt       Date:  1999-12-20       Impact factor: 1.980

2.  Estimation of the depth of sunlight penetration in the sea for remote sensing.

Authors:  H R Gordon; W R McCluney
Journal:  Appl Opt       Date:  1975-02-01       Impact factor: 1.980

3.  Water quality monitoring using remote sensing in support of the EU water framework directive (WFD): a case study in the Gulf of Finland.

Authors:  Qiaoling Chen; Yuanzhi Zhang; Martti Hallikainen
Journal:  Environ Monit Assess       Date:  2006-08-05       Impact factor: 2.513

4.  Complementary chromatic adaptation in a filamentous blue-green alga.

Authors:  A Bennett; L Bogorad
Journal:  J Cell Biol       Date:  1973-08       Impact factor: 10.539

  4 in total
  6 in total

1.  Using Landsat image time series to study a small water body in Northern Spain.

Authors:  Y Chao Rodríguez; A el Anjoumi; J A Domínguez Gómez; D Rodríguez Pérez; E Rico
Journal:  Environ Monit Assess       Date:  2014-01-23       Impact factor: 2.513

Review 2.  A survey of smart water quality monitoring system.

Authors:  Jianhua Dong; Guoyin Wang; Huyong Yan; Ji Xu; Xuerui Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2015-01-06       Impact factor: 4.223

3.  Seasonal variability of chlorophyll-a and oceanographic conditions in Sabah waters in relation to Asian monsoon--a remote sensing study.

Authors:  Alaa Abdul-Hadi; Shattri Mansor; Biswajeet Pradhan; C K Tan
Journal:  Environ Monit Assess       Date:  2012-08-29       Impact factor: 2.513

Review 4.  A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques.

Authors:  Mohammad Haji Gholizadeh; Assefa M Melesse; Lakshmi Reddi
Journal:  Sensors (Basel)       Date:  2016-08-16       Impact factor: 3.576

5.  A method for examining temporal changes in cyanobacterial harmful algal bloom spatial extent using satellite remote sensing.

Authors:  Erin A Urquhart; Blake A Schaeffer; Richard P Stumpf; Keith A Loftin; P Jeremy Werdell
Journal:  Harmful Algae       Date:  2017-07-14       Impact factor: 4.273

6.  Assessing the Trend of the Trophic State of Lake Ladoga Based on Multi-Year (1997-2019) CMEMS GlobColour-Merged CHL-OC5 Satellite Observations.

Authors:  Augustine-Moses Gaavwase Gbagir; Alfred Colpaert
Journal:  Sensors (Basel)       Date:  2020-12-01       Impact factor: 3.576

  6 in total

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