Atmospheric aerosol monitoring by an elastic Scheimpflug lidar system

Mei, Liang; Brydegaard, Mikkel

doi:10.1364/oe.23.0a1613

Cited by 98 publications

(62 citation statements)

References 25 publications

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“…The data that support the findings of this study are openly available in [The Royal Society Publishing] at https://doi.org/%5B10.1098/rsos.172303], (Malmqvist et al, ). The data that support the findings of this study are openly available in [OSA Publishing] at https://doi.org/%5B10.1364/OE.23.0A1613], (Mei & Brydegaard, ). The data that support the findings of this study are openly available in [SpringerLink] at https://doi.org/%5B10.1007/s00340-011-4785-8], (Mei et al, ).…”

Section: Data Availability Statementsupporting

confidence: 71%

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Application of lidar remote sensing of insects in agricultural entomology on the Chinese scene

Song

Zhang

Feng

et al. 2019

J Applied Entomology

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Insect pest management is a very important aspect for plant protection in crops production. Remote sensing provides a large number of techniques that are beneficial in entomological research. Although entomological radars have been used for studying migrations of insects for many years, most of entomological radar studies have been vertically tracing high‐altitude migration behaviour of insects. Light detection and ranging (lidar) is a counterpart to radar, now operating in the optical part of the electromagnetic spectrum, which has been recently applied for monitoring of insects at low altitude. Such techniques, in particular low‐cost continuous‐wave (CW) bi‐static systems based on the Scheimpflug arrangement, have been rapidly developing during the last decade. As a result, optical methods present new and fascinating possibilities. Based on experience from a 2‐week field campaign in rice paddy fields, we here present an overview of lidar remote sensing applied to the Chinese scene. The capability of a CW Scheimpflug lidar system in monitoring the insects was studied. We present results on insect abundance in relation to time of the day and weather conditions. We also identified insect species by analysing wing‐beat frequencies and studied their attraction to ultraviolet (UV) lamp located close to the horizontal laser sampling path during night time. Results showed that the insect species were abundant, that insects detected by the lidar system were attracted to light and that light rain increased the insect activity. The lidar detection system had a high read‐out frequency, enabling the estimation of insect wing‐beat frequencies.

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Section: Data Availability Statementsupporting

confidence: 71%

“…The continuous‐wave (CW) lidar system used has been briefly described in Malmqvist et al () and is somewhat similar to the systems described by Mei and Brydegaard () and Zhao et al (). Thus, we here only give a brief description with reference to Figure .…”

Section: Methodsmentioning

confidence: 99%

Application of lidar remote sensing of insects in agricultural entomology on the Chinese scene

Song

Zhang

Feng

et al. 2019

J Applied Entomology

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“…The raw lidar signal and the background signal can be obtained by binning the pixel intensities of 200 lines from the on-and off-images, respectively. Background subtraction is performed through signal interpolation to eliminate the contributions from the sunlight background and the dark current [30]. The final lidar signal is then obtained by taking the statistic median value of a number of signals to suppress the temporal noise such as the sunlight shot noise, readout noise and the dark current shot noise, etc.…”

Section: Signal Acquisition and Processingmentioning

confidence: 99%

“…(1) In the beginning of each scanning period, the lidar system will first cruise to the preset calibration position and then measure the backscattering signal from a reference building, the distance of which has be measured by a range finder (1308 m for the present measurements). The distance of the reference building and the corresponding pixel position of the backscattering echo can then be used for the calibration of the pixel-distance relationship for the current scanning period [30].…”

Section: Atmospheric Horizontal Scanning Measurements For Pollution Smentioning

confidence: 99%

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Preliminary Studies on Atmospheric Monitoring by Employing a Portable Unmanned Mie-Scattering Scheimpflug Lidar System

Zhi

et al. 2019

Remote Sensing

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A portable unmanned Mie-scattering Scheimpflug lidar system has been designed and implemented for atmospheric remote sensing. The Scheimpflug lidar system employs a continuous-wave high-power 808 nm laser diode as the light source and the emitted laser beam is collimated by an F6 lens with a 100 mm aperture. Atmospheric backscattering light is collected by a F5 lens with a 150 mm aperture and then detected by a 45° tilted image sensor. The separation between the transmitting and the receiving optics is about 756 mm to satisfy the Scheimpflug principle. Unmanned outdoor atmospheric measurements were performed in an urban area to investigate system performance. Localized emissions can be identified by performing horizontal scanning measurements over the urban atmosphere for 107° approximately every 17 min. The temporal variation of the vertical aerosol structure in the boundary layer has also been studied through zenith scanning measurements. The promising result shows great potential of the present portable lidar system for unmanned atmospheric pollution monitoring in urban areas.

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Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar

Müller

Manefjord

et al. 2023

Advanced Science

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Monitoring insects of different species to understand the factors affecting their diversity and decline is a major challenge. Laser remote sensing and spectroscopy offer promising novel solutions to this. Coherent scattering from thin wing membranes also known as wing interference patterns (WIPs) have recently been demonstrated to be species specific. The colors of WIPs arise due to unique fringy spectra, which can be retrieved over long distances. To demonstrate this, a new concept of infrared (950-1650 nm) hyperspectral lidar with 64 spectral bands based on a supercontinuum light source using ray-tracing and 3D printing is developed. A lidar with an unprecedented number of spectral channels, high signal-to-noise ratio, and spatio-temporal resolution enabling detection of free-flying insects and their wingbeats. As proof of principle, coherent scatter from a damselfly wing at 87 m distance without averaging (4 ms recording) is retrieved. The fringed signal properties are used to determine an effective wing membrane thickness of 1412 nm with ±4 nm precision matching laboratory recordings of the same wing. Similar signals from free flying insects (2 ms recording) are later recorded. The accuracy and the method's potential are discussed to discriminate species by capturing coherent features from free-flying insects.

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Atmospheric aerosol monitoring by an elastic Scheimpflug lidar system

Cited by 98 publications

References 25 publications

Application of lidar remote sensing of insects in agricultural entomology on the Chinese scene

Application of lidar remote sensing of insects in agricultural entomology on the Chinese scene

Preliminary Studies on Atmospheric Monitoring by Employing a Portable Unmanned Mie-Scattering Scheimpflug Lidar System

Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar

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