Insect abundance over Chinese rice fields in relation to environmental parameters, studied with a polarization-sensitive CW near-IR lidar system

Zhu, Shi Yao; Malmqvist, Ebba; Li, Wansha; Jansson, Samuel; Li, Yiyun; Duan, Zheng; Svanberg, Katarina; Feng, Hongqiang; Song, Ziwei; Zhao, Guangyu; Brydegaard, Mikkel; Svanberg, Sune

doi:10.1007/s00340-017-6784-x

Cited by 55 publications

(59 citation statements)

References 20 publications

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“…This remote sensing methodology is widely used for studying atmospheric processes, such as aerosols concentration and formation [35–40], measurements of spatio-temporal distributions of trace gases such as, among others, CO 2 [41], CH 4 [42, 43], O 3 [44], H 2 O [45, 46], and also of volatile organic compounds [47]. Recently, studies have made use of lidar to study entomology [48–56] where large insects (moths, dragonflies, honey bees) are observed and differentiated using the wing beat frequency. While the actual genus and species remain unknown, these measurements provide valuable data on the population dynamics.…”

Section: Introductionmentioning

confidence: 99%

“…While the actual genus and species remain unknown, these measurements provide valuable data on the population dynamics. These methodologies also offer a much higher time resolution, where insect’s activity can be monitored in real-time, enabling behavioral studies during short-time events such as rain, dusk and dawn [56]. Fluorescent measurements [50] allows for a spatially and temporarily resolved measurements, although insects need first to be captured and covered with fluorescent dust prior to being released.…”

Section: Introductionmentioning

confidence: 99%

“…The optical system is based on a continuous-wave (CW) laser operating at 1320 nm wavelength with an average power of approximately 3.6 W and a co-axial parabolic mirror to collect the backscattered light. In comparison with the aforementioned lidar publication [48–56], the present work focuses on laboratory measurements to collect data on insects prior to field measurements. As such, we expect the identification accuracy to be improved without the need to capture insects during field measurement campaigns.…”

Section: Introductionmentioning

confidence: 99%

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Optical remote sensing for monitoring flying mosquitoes, gender identification and discussion on species identification

et al. 2018

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Mosquito-borne diseases are a major challenge for Human health as they affect nearly 700 million people every year and result in over 1 million deaths. Reliable information on the evolution of population and spatial distribution of key insects species is of major importance in the development of eco-epidemiologic models. This paper reports on the remote characterization of flying mosquitoes using a continuous-wave infrared optical remote sensing system. The system is setup in a controlled environment to mimic long-range lidars, mosquitoes are free flying at a distance of ~ 4 m from the collecting optics. The wing beat frequency is retrieved from the backscattered light from mosquitoes transiting through the laser beam. A total of 427 transit signals have been recorded from three mosquito species, males and females. Since the mosquito species and gender are known a priori, we investigate the use of wing beat frequency as the sole predictor variable for two Bayesian classifications: gender alone (two classes) and species/gender (six classes). The gender of each mosquito is retrieved with a 96.5% accuracy while the species/gender of mosquitoes is retrieved with a 62.3% accuracy. Known to be an efficient mean to identify insect family, we discuss the limitations of using wing beat frequency alone to identify insect species.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optical remote sensing for monitoring flying mosquitoes, gender identification and discussion on species identification

et al. 2018

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“…To investigate the capability of a compact lidar system in monitoring the insects of rice, a field study was conducted from 10 to 19 July 2016 in the paddy fields of an experimental research farm, belonging to the Guangdong Academy of Agricultural Sciences. Using this field study, which has produced data on various aspects of agricultural pests (Malmqvist et al, ; Zhu et al, ) as a basis, we here make an overview of what active optical remote sensing can contribute to the Chinese entomological scene.…”

Section: Introductionmentioning

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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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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“…Pesticides employed to combat this can have severe health effects for humans [4] and pollinators [5]. Insect activity and movement patterns occur on fast timescales [6], are complex and species specific [7], and can be highly localized [8]. As such, a high spatiotemporal resolution is required to monitor their movements, activity patterns, and interactions.…”

Section: Introductionmentioning

confidence: 99%

Passive kHz lidar for the quantification of insect activity and dispersal

Jansson

Brydegaard

2018

Anim Biotelemetry

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Background: In recent years, our group has developed electro-optical remote sensing methods for the monitoring and classification of aerofauna. These methods include active lidar methods and passive, so-called dark-field methods that measure scattered sunlight. In comparison with satellite-and airborne remote sensing, our methods offer a spatiotemporal resolution several orders of magnitude higher, and unlike radar, they can be employed close to ground. Whereas passive methods are desirable due to lower power consumption and ease of use, they have until now lacked ranging capabilities. Results:In this work, we demonstrate how passive ranging of sparse insects transiting the probe volume can be achieved with quadrant sensors. Insects are simulated in a raytracing model of the probe volume, and a ranging equation is devised based on the simulations. The ranging equation is implemented and validated with field data, and system parameters that vary with range are investigated. A model for estimating insect flight headings with modulation spectroscopy is implemented and tested with inconclusive results. Insect fluxes are retrieved through time-lag correlation of quadrant detector segments, showing that insects flew more with than against the wind during the study period. Conclusions:The presented method demonstrates how ranging can be achieved with quadrant sensors, and how it can be implemented with or without active illumination. A number of insect flight parameters can be extracted from the data produced by the sensor and correlated with complementary information about weather and topography. The approach has the potential to become a widespread and simple tool for monitoring abundances and fluxes of pests and disease vectors in the atmosphere.

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Insect abundance over Chinese rice fields in relation to environmental parameters, studied with a polarization-sensitive CW near-IR lidar system

Cited by 55 publications

References 20 publications

Optical remote sensing for monitoring flying mosquitoes, gender identification and discussion on species identification

Optical remote sensing for monitoring flying mosquitoes, gender identification and discussion on species identification

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

Passive kHz lidar for the quantification of insect activity and dispersal

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