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

Aruffo, Eleonora; Chiuri, Andrea; Angelini, F.; Artuso, Florinda; Cataldi, Dario; Colao, F.; Fiorani, Luca; Menicucci, Ivano; Nuvoli, Marcello; Pistilli, M.; Spizzichino, Valeria; Palucci, A.

doi:10.3390/s20020410

Cited by 7 publications

(4 citation statements)

References 22 publications

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“…A sensor was composed of aLC tunable filter and automaticbackground signal subtraction. The results show that the sensor can realize remote detection by software control [7].…”

Section: Introductionmentioning

confidence: 94%

Multi-Band Analogue Electromagnetically Induced Transparency in DoubleTuned Metamaterials

Huang

Ning

et al. 2021

Nanomaterials

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A multi-band analogue electromagnetically induced transparency (A-EIT) metamaterial is proposed. The structure is composed of liquid crystal (LC) layer and a graphene strips layer on both sides of silicon dioxide. The transmission spectrum and electric field distribution of only one graphene strip and two graphene strips have been studied. As a bright mode, the graphene strip is coupled with adjacent graphene strip to realize the A-EIT effect. When multiple graphene strips are coupled with each other, the multi-band A-EIT is obtained due to the electric dipole resonances of the four strips. The results show that the multiband A-EIT effect can be tuned by voltage on LC and graphene layer, respectively. Moreover, changing the incident angle of the electromagnetic wave has had little influence on the transmission window in the low frequency band, it is meaning that the A-EIT effect with insensitive to the incident angle can be obtained. Each transmission window has a high maximum transmittance and figure of merit (FOM). The multi-band A-EIT effect can widen the application on sensor and optical storage devices.

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“…A sensor was composed of aLC tunable filter and automaticbackground signal subtraction. The results show that the sensor can realize remote detection by software control [7].…”

Section: Introductionmentioning

confidence: 94%

Multi-Band Analogue Electromagnetically Induced Transparency in DoubleTuned Metamaterials

Huang

Ning

et al. 2021

Nanomaterials

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“…Others have adopted the use of an aerial drone for measuring water temperature with a thermal camera and lowered temperature probe [33,34]. The use of laser-induced fluorescence from a manned aircraft [35] or sUAS [36][37][38] for water sampling has also been conducted.…”

Section: Water Sampling From An Aerial Dronementioning

confidence: 99%

Mission Planning for Low Altitude Aerial Drones during Water Sampling

Hodgson

Vitzilaios

Myrick

et al. 2022

Drones

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Mission planning for small uncrewed aerial systems (sUAS) as a platform for remote sensors goes beyond the traditional issues of selecting a sensor, flying altitude/speed, spatial resolution, and the date/time of operation. Unlike purchasing or contracting imagery collections from traditional satellite or manned airborne systems, the sUAS operator must carefully select launching, landing, and flight paths that meet both the needs of the remote sensing collection and the regulatory requirements of federal, state, and local regulations. Mission planning for aerial drones must consider temporal and geographic changes in the environment, such as local weather conditions or changing tidal height. One key aspect of aerial drone missions is the visibility of the aircraft and communication with the aircraft. In this research, a visibility model for low-altitude aerial drone operations was designed using a GIS-based framework supported by high spatial resolution LiDAR data. In the example study, the geographic positions of the visibility of an aerial drone used for water sampling at low altitudes (e.g., 2 m above ground level) were modeled at different levels of tidal height. Using geospatial data for a test-case environment at the Winyah Bay estuarine environment in South Carolina, we demonstrate the utility, challenges, and solutions for determining the visibility of a very low-altitude aerial drone used in water sampling.

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“…To further functionalize and miniaturize the HSL system, there are many kinds of elaborate spectroscopic devices: an Acousto-Optic Tunable Filter (AOTF) [8], Liquid-Crystal Tunable Filter (LCTF) [9], and optical filter wheel [10] were used to create the spectral channels in a wider band range. These spectroscopic devices created five tunable optical channels, increasing the flexibility of the spectral channels in the HSL system, whereas these spectroscopic devices were operated through complex and bulky structures under the control of electronics, then restricted these HSL systems' further miniaturization.…”

Section: Introductionmentioning

confidence: 99%

Miniaturizing Hyperspectral Lidar System Employing Integrated Optical Filters

Sun,

Wang,

Sun

et al. 2024

Remote Sensing

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Hyperspectral LiDAR (HSL) has been utilized as an efficacious technique in object classification and recognition based on its unique capability to obtain ranges and spectra synchronously. Different kinds of HSL prototypes with varied structures have been promoted and measured its performance. However, almost all of these HSL prototypes employ complex and large spectroscopic devices, such as an Acousto-Optic Tunable Filter and Liquid-Crystal Tunable Filter, which makes this HSL system bulky and expensive, and then hinders its extensive application in many fields. In this paper, a smart and smaller spectroscopic component, an intergraded optical filter (IOF), is promoted to miniaturize these HSL systems. The system calibration, range precision, and spectral profile experiments were carried out to test the HSL prototype. Although the IOF employed here only covered a wavelength range of 699–758 nm with a six-channel passband and showed a transmittance of less than 50%, the HSL prototype showed excellent performance in ranging and spectral profile collecting. The spectral profiles collected are well in accordance with those acquired based on the AOTF. The spectral profiles of the fruits, vegetables, plants, and ore samples collected by the HSL based on an IOF can effectively reveal the status of the plants, the component materials, and ore species. Finally, we also showed the integrated design of the HSL based on a three-dimensional IOF and combined with a detector. The performance and designs of this HSL system based on an IOF show great potential for miniaturizing in some specific applications.

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

Cited by 7 publications

References 22 publications

Multi-Band Analogue Electromagnetically Induced Transparency in DoubleTuned Metamaterials

Multi-Band Analogue Electromagnetically Induced Transparency in DoubleTuned Metamaterials

Mission Planning for Low Altitude Aerial Drones during Water Sampling

Miniaturizing Hyperspectral Lidar System Employing Integrated Optical Filters

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