Hyperspectral Fluorescence LIDAR Based on a Liquid Crystal Tunable Filter for Marine Environment Monitoring

An innovative hyperspectral LIDAR instrument has been developed for applications in marine environment monitoring research activities, remotely detecting the fluorescence spectra produced in the spectral interval between 400 nm and 720 nm. The detection system is composed by a custom made photomultiplier charge integrating and measuring (CIM) unit, which makes automatic background signal subtraction, and a liquid crystal tunable filter (LCTF). The new instrument therefore has hyperspectral resolution and allows automatic background subtraction; it is compact and automated by custom software that permit to adapt the instrument properties depending on the environmental conditions. Laboratory tests to characterize the instrument performance have been carried out, concluding that this sensor can be employed in remote sites for Chl-a detection.

[1]  Stewart J. Cohen,et al.  Climate Change 2014: Impacts,Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change , 2014 .

[2]  Sune Svanberg,et al.  Drone-based area scanning of vegetation fluorescence height profiles using a miniaturized hyperspectral lidar system , 2018, Applied Physics B.

[3]  C. W. Wright,et al.  Airborne laser-induced oceanic chlorophyll fluorescence: solar-induced quenching corrections by use of concurrent downwelling irradiance measurements. , 1998, Applied optics.

[4]  R. Reuter,et al.  Fluorescent matter in the eastern Atlantic Ocean. Part 1: method of measurement and near-surface distribution , 1994 .

[5]  Giovanna Cecchi,et al.  A fluorescence LIDAR sensor for hyper-spectral time-resolved remote sensing and mapping. , 2013, Optics express.

[6]  Sami D. Alaruri Multiwavelength laser induced fluorescence (LIF) LIDAR system for remote detection and identification of oil spills , 2019, Optik.

[7]  María-Teresa Sebastiá-Frasquet,et al.  Detection of Phytoplankton Temporal Anomalies Based on Satellite Inherent Optical Properties: A Tool for Monitoring Phytoplankton Blooms , 2019, Sensors.

[8]  Andrea Pisano,et al.  An oceanographic survey for oil spill monitoring and model forecasting validation using remote sensing and in situ data in the Mediterranean Sea , 2016 .

[9]  Sergey Babichenko,et al.  Compact HLIF LiDAR for marine applications , 2016 .

[10]  Mingquan Wu,et al.  Deriving backscatter reflective factors from 32-channel full-waveform LiDAR data for the estimation of leaf biochemical contents. , 2016, Optics express.

[11]  J. Suomalainen,et al.  Full waveform hyperspectral LiDAR for terrestrial laser scanning. , 2012, Optics express.

[12]  Francesco Colao,et al.  Lidar Monitoring of Chlorophyll a During the XXIX and XXXI Italian Antarctic Expeditions , 2019, International Journal of Environmental Research.

[13]  Francesco Colao,et al.  Optimization of laser wavelength, power and pulse duration for eye-safe Raman spectroscopy , 2019, Journal of the European Optical Society-Rapid Publications.

[14]  S. Babichenko Laser Remote Sensing of the European Marine Environment: LIF Technology and Applications , 2008 .

[15]  P. DiGiacomo,et al.  Remote sensing of chlorophyll-a in coastal waters based on the light absorption coefficient of phytoplankton , 2017 .

[16]  Rainer Reuter,et al.  STABLE DECONVOLUTION OF NOISY LIDAR SIGNALS , 2000 .

[17]  Mar Ecol Prog,et al.  Improved HPLC method for the analysis of chlorophylls and carotenoids from marine phytoplankton , 2022 .

[18]  Wei Li,et al.  A Liquid Crystal Tunable Filter-Based Hyperspectral LiDAR System and Its Application on Vegetation Red Edge Detection , 2019, IEEE Geoscience and Remote Sensing Letters.

[19]  Sune Svanberg,et al.  Inelastic hyperspectral lidar for profiling aquatic ecosystems , 2016 .

[20]  Antonio Palucci,et al.  Remote and local monitoring of dissolved and suspended fluorescent organic matter off the svalbard , 2010 .

[21]  Deborah K. Steinberg,et al.  Upper Ocean Carbon Export and the Biological Pump , 2001 .

[22]  Sune Svanberg,et al.  Aquatic environment monitoring using a drone-based fluorosensor , 2019, Applied Physics B.

[23]  B. Quinn,et al.  An LED pulser for measuring photomultiplier linearity , 2011, 1108.3096.