Optical remote sensing of lakes: an overview on Lake Maggiore

  • Claudia Giardino | giardino.c@irea.cnr.it National Research Council of Italy (CNR) Institute for Electromagnetic Sensing of the Environment (IREA), Italy.
  • Mariano Bresciani
  • Daniela Stroppiana
  • Alessandro Oggioni
  • Giuseppe Morabito

Abstract

Optical satellite remote sensing represents an opportunity to integrate traditional methods for assessing water quality of lakes: strengths of remote sensing methods are the good spatial and temporal coverage, the possibility to monitor many lakes simultaneously and the reduced costs. In this work we present an overview of optical remote sensing techniques applied to lake water monitoring. Then, examples of applications focused on lake Maggiore, the second largest lake in Italy are discussed by presenting the temporal trend of chlorophyll-a (chl-a), suspended particulate matter (SPM), coloured dissolved organic matter (CDOM) and the z90 signal depth (the latter indicating the water depth from which 90% of the reflected light comes from) as estimated from the images acquired by the Medium Resolution Imaging Spectrometer (MERIS) in the pelagic area of the lake from 2003 to 2011. Concerning the chl-a trend, the results are in agreement with the concentration values measured during field surveys, confirming the good status of lake Maggiore, although occasional events of water deterioration were observed (e.g., an average increase of chl-a concentration, with a decrease of transparency, as a consequence of an anomalous phytoplankton occurred in summer 2011). A series of MERIS-derived maps (summer period 2011) of the z90 signal are also analysed in order to show the spatial variability of lake waters, which on average were clearer in the central pelagic zones. We expect that the recently launched (e.g., Landsat-8) and the future satellite missions (e.g., Sentinel-3) carrying sensors with improved spectral and spatial resolution are going to lead to a larger use of remote sensing for the assessment and monitoring of water quality parameters, by also allowing further applications (e.g., classification of phytoplankton functional types) to be developed.

Downloads

Download data is not yet available.
Published
2013-08-26
Supporting Agencies
Italian Space Agency, MIUR, EC-7FP, European Space Agency
Keywords:
Earth observation, MERIS, lakes, water quality, surface temperature.
Statistics
Abstract views: 3443

PDF: 1529
Share it

PlumX Metrics

PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

How to Cite
1.
Giardino C, Bresciani M, Stroppiana D, Oggioni A, Morabito G. Optical remote sensing of lakes: an overview on Lake Maggiore. jlimnol [Internet]. 26Aug.2013 [cited 30Mar.2020];73(1s). Available from: https://jlimnol.it/index.php/jlimnol/article/view/jlimnol.2014.817

Most read articles by the same author(s)