Preliminary Investigation on Phytoplankton Dynamics and Primary Production Models in an Oligotrophic Lake from Remote Sensing Measurements
- Resource Type
- Authors
- Mariano Bresciani; Ilaria Cesana; Dario Manca; Roberto Colombo; Sergio Cogliati; Claudia Giardino; Monica Pinardi; Andrea Lami; Remika Gupana; Martina Austoni; Stefano Santabarbara
- Source
- Sensors
Volume 21
Issue 15
Sensors (Basel) 21 (2021). doi:10.3390/s21155072
info:cnr-pdr/source/autori:Cesana, Ilaria (1); Bresciani, Mariano (2); Cogliati, Sergio (1); Giardino, Claudia (2); Gupana, Remika (3); Manca, Dario (4); Santabarbara, Stefano (5); Pinardi, Monica (2); Austoni, Martina (6); Lami, Andrea (4); Colombo, Roberto (1)/titolo:Preliminary investigation on phytoplankton dynamics and primary production models in an oligotrophic lake from remote sensing measurements/doi:10.3390%2Fs21155072/rivista:Sensors (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:21
Sensors, Vol 21, Iss 5072, p 5072 (2021)
Sensors (Basel, Switzerland)
- Subject
- Chlorophyll
inland waters
1303 Biochemistry
010504 meteorology & atmospheric sciences
0211 other engineering and technologies
Hyperspectral measurement
02 engineering and technology
Noon
3107 Atomic and Molecular Physics, and Optics
1710 Information Systems
01 natural sciences
Biochemistry
Analytical Chemistry
remote sensing
Phytoplankton primary production
Atomic and Molecular Physics
910 Geography & travel
Proxy (statistics)
Instrumentation
media_common
1602 Analytical Chemistry
GEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERA
Hyperspectral imaging
Atomic and Molecular Physics, and Optics
10122 Institute of Geography
Remote sensing (archaeology)
fluorescence
Environmental Monitoring
FIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTRE
media_common.quotation_subject
TP1-1185
Article
hyperspectral measurements
Phytoplankton
high-frequency measurements
Trophic state index
High-frequency measurement
Electrical and Electronic Engineering
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Inland water
Chlorophyll A
Chemical technology
3105 Instrumentation
2208 Electrical and Electronic Engineering
phytoplankton primary production
Lakes
Sky
Remote Sensing Technology
Environmental science
and Optics
- Language
- English
- ISSN
- 1424-8220
The aim of this study is to test a series of methods relying on hyperspectral measurements to characterize phytoplankton in clear lake waters. The phytoplankton temporal evolutions were analyzed exploiting remote sensed indices and metrics linked to the amount of light reaching the target (EPAR), the chlorophyll-a concentration ([Chl-a]OC4) and the fluorescence emission proxy. The latter one evaluated by an adapted version of the Fluorescence Line Height algorithm (FFLH). A peculiar trend was observed around the solar noon during the clear sky days. It is characterized by a drop of the FFLH metric and the [Chl-a]OC4 index. In addition to remote sensed parameters, water samples were also collected and analyzed to characterize the water body and to evaluate the in-situ fluorescence (FF) and absorbed light (FA). The relations between the remote sensed quantities and the in-situ values were employed to develop and test several phytoplankton primary production (PP) models. Promising results were achieved replacing the FA by the EPAR or FFLH in the equation evaluating a PP proxy (R2 >
0.65). This study represents a preliminary outcome supporting the PP monitoring in inland waters by means of remote sensing-based indices and fluorescence metrics.