Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8 |
| Abstract | For effective lakes' management, high-frequent water quality data on a synoptic scale is essential. The aim of this study is to test the suitability of the latest generation of satellite sensors to provide information on lake water quality parameters for the five largest Italian subalpine lakes. In situ data of phytoplankton composition, chlorophyll-a (chl-a) concentration and water reflectance were used in synergy with satellite observations to map some algal blooms in 2016. Chl-a concentration maps were derived from satellite data by applying a bio-optical model to satellite data, previously corrected for atmospheric effects. Results were compared with in situ data, showing good agreement. The shape and magnitude of water reflectance from different satellite data were consistent. Output chl-a concentration maps, show the distribution within each lake during blooming events, suggesting a synoptic view is required for these events monitoring. Maps show the dynamic of bloom events with concentration increasing from 2 up to 7 mgm-3 and dropping again to initial value in less than 20 days. Latest generation sensors showed to be valuable tools for lakes monitoring, thanks to frequent, free of charge data availability over long time periods. |
| Source | Hydrobiologia (Dordr., Online) |
| Keywords | remote sensingCyanobacteriaChlorophyll-alakesSatellite imagesWater reflectance |
| Journal | Hydrobiologia (Dordr., Online) |
| Editor | Kluwer, Dordrecht, Paesi Bassi |
| Year | 2018 |
| Type | Articolo in rivista |
| DOI | 10.1007/s10750-017-3462-2 |
| Authors | Mariano Bresciani* Ilaria Cazzaniga*,** Martina Austoni*** Tommaso Sforzi*** Fabio Buzzi**** Giuseppe Morabito*** Claudia Giardino* |
| Text | 381292 2018 10.1007/s10750 017 3462 2 remote sensing Cyanobacteria Chlorophyll a lakes Satellite images Water reflectance Mapping phytoplankton blooms in deep subalpine lakes from Sentinel 2A and Landsat 8 Mariano Bresciani Ilaria Cazzaniga , Martina Austoni Tommaso Sforzi Fabio Buzzi Giuseppe Morabito Claudia Giardino National Research Council of Italy, Institute for Electromagnetic Sensing of the Environment CNR IREA Remote Sensing of Environmental Dynamics Laboratory, DISAT, Universita degli Studi Milano Bicocca Institute for the Study of Ecosystems, National Research Council of Italy CNR ISE ARPA Lombardia, Dipartimento di Lecco For effective lakes management, high frequent water quality data on a synoptic scale is essential. The aim of this study is to test the suitability of the latest generation of satellite sensors to provide information on lake water quality parameters for the five largest Italian subalpine lakes. In situ data of phytoplankton composition, chlorophyll a chl a concentration and water reflectance were used in synergy with satellite observations to map some algal blooms in 2016. Chl a concentration maps were derived from satellite data by applying a bio optical model to satellite data, previously corrected for atmospheric effects. Results were compared with in situ data, showing good agreement. The shape and magnitude of water reflectance from different satellite data were consistent. Output chl a concentration maps, show the distribution within each lake during blooming events, suggesting a synoptic view is required for these events monitoring. Maps show the dynamic of bloom events with concentration increasing from 2 up to 7 mgm 3 and dropping again to initial value in less than 20 days. Latest generation sensors showed to be valuable tools for lakes monitoring, thanks to frequent, free of charge data availability over long time periods. Published version Bresciani_et_al 2018 Hydrobiologia_final Bresciani_et_al 2018 Hydrobiologia_final.pdf Articolo in rivista Kluwer 1573 5117 Hydrobiologia Dordr., Online Hydrobiologia Dordr., Online Hydrobiologia Dordr., Online Hydrobiologia. Dordr., Online Hydrobiologia Dordrecht Dordr., Online Hydrobiologia Boston Dordr., Online Hydrobiologia London Dordr., Online martina.austoni AUSTONI MARTINA ilariacazzaniga CAZZANIGA ILARIA SFORZI TOMMASO claudia.giardino GIARDINO CLAUDIA giuseppe.morabito MORABITO GIUSEPPE mariano.bresciani BRESCIANI MARIANO TA.P06.018.001 Telerilevamento ottico per il monitoraggio del territorio e dell ambiente |