Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Earth observation for monitoring and mapping of cyanobacteria blooms. Case studies on five Italian lakes |
| Abstract | Cyanobacterial blooms occur in many parts of the world as a result of entirely natural causes or human activity. Due to their negative effects on water resources, efforts are made to monitor cyanobacteria dynamics. This study discusses the contribution of remote sensing methods for mapping cyanobacterial blooms in lakes in northern Italy. Semi-empirical approaches were used to flag scum and cyanobacteria and spectral inversion of bio-optical models was adopted to retrieve chlorophyll-a (Chl-a) concentrations. Landsat-8 OLI data provided us both the spatial distribution of Chl-a concentrations in a small eutrophic lake and the patchy distribution of scum in Lake Como. ENVISAT MERIS time series collected from 2003 to 2011 enabled the identification of dates when cyanobacterial blooms affected water quality in three small meso-eutrophic lakes in the same region. On average, algal blooms occurred in the three lakes for about 5 days a year, typically in late summer and early autumn. A suite of hyperspectral sensors on air-and space-borne platforms was used to map Chl-a concentrations in the productive waters of the Mantua lakes, finding values in the range of 20 to 100 mgm(-3). The present findings were obtained by applying state of the art of methods applied to remote sensing data. Further research will focus on improving the accuracy of cyanobacteria mapping and adapting the algorithms to the new-generation of satellite sensors. |
| Source | Journal of limnology (Testo stamp.) 76, pp. 127–139 |
| Keywords | Remote Sensingmonitoringchlorophyll-alakeshyperspectral |
| Journal | Journal of limnology (Testo stamp.) |
| Editor | Istituto per lo Studio degli Ecosistemi., Verbania Pallanza, Italia |
| Year | 2017 |
| Type | Articolo in rivista |
| DOI | 10.4081/jlimnol.2016.1565 |
| Authors | Bresciani, Mariano; Giardino, Claudia; Lauceri, Rosaria; Matta, Erica; Cazzaniga, Ilaria; Pinardi, Monica; Lami, Andrea; Austoni, Martina; Viaggiu, Emanuela; Congestri, Roberta; Morabito, Giuseppe |
| Text | 407836 2017 10.4081/jlimnol.2016.1565 ISI Web of Science WOS 000429105600013 Scopus 2 s2.0 85066067262 Remote Sensing monitoring chlorophyll a lakes hyperspectral Earth observation for monitoring and mapping of cyanobacteria blooms. Case studies on five Italian lakes Bresciani, Mariano; Giardino, Claudia; Lauceri, Rosaria; Matta, Erica; Cazzaniga, Ilaria; Pinardi, Monica; Lami, Andrea; Austoni, Martina; Viaggiu, Emanuela; Congestri, Roberta; Morabito, Giuseppe Natl Res Council Italy; Natl Res Council Italy; Univ Milano Bicocca; Univ Roma Tor Vergata Cyanobacterial blooms occur in many parts of the world as a result of entirely natural causes or human activity. Due to their negative effects on water resources, efforts are made to monitor cyanobacteria dynamics. This study discusses the contribution of remote sensing methods for mapping cyanobacterial blooms in lakes in northern Italy. Semi empirical approaches were used to flag scum and cyanobacteria and spectral inversion of bio optical models was adopted to retrieve chlorophyll a Chl a concentrations. Landsat 8 OLI data provided us both the spatial distribution of Chl a concentrations in a small eutrophic lake and the patchy distribution of scum in Lake Como. ENVISAT MERIS time series collected from 2003 to 2011 enabled the identification of dates when cyanobacterial blooms affected water quality in three small meso eutrophic lakes in the same region. On average, algal blooms occurred in the three lakes for about 5 days a year, typically in late summer and early autumn. A suite of hyperspectral sensors on air and space borne platforms was used to map Chl a concentrations in the productive waters of the Mantua lakes, finding values in the range of 20 to 100 mgm 3 . The present findings were obtained by applying state of the art of methods applied to remote sensing data. Further research will focus on improving the accuracy of cyanobacteria mapping and adapting the algorithms to the new generation of satellite sensors. 76 Published version Earth observation for monitoring and mapping of cyanobacteria blooms. Case studies on five Italian lakes versione pdf dell articolo 1565 Article Text 9345 2 10 20171106.pdf Articolo in rivista Istituto per lo Studio degli Ecosistemi. 1129 5767 Journal of limnology Testo stamp. Journal of limnology Testo stamp. J. limnol. Testo stamp. Journal of limnology. Testo stamp. martina.austoni AUSTONI MARTINA erica.matta MATTA ERICA claudia.giardino GIARDINO CLAUDIA giuseppe.morabito MORABITO GIUSEPPE rosaria.lauceri LAUCERI ROSARIA andrea.lami LAMI ANDREA mariano.bresciani BRESCIANI MARIANO monica.pinardi PINARDI MONICA |