Passive kHz lidar for the quantification of insect activity and dispersal

Abstract 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-...

Full description

Bibliographic Details
Main Authors: Samuel Jansson, Mikkel Brydegaard
Format: Article
Language:English
Published: BMC 2018-05-01
Series:Animal Biotelemetry
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40317-018-0151-5
id doaj-d4871650061a45c287157b3cf5d2b2ef
record_format Article
spelling doaj-d4871650061a45c287157b3cf5d2b2ef2020-11-25T00:12:29ZengBMCAnimal Biotelemetry2050-33852018-05-016111010.1186/s40317-018-0151-5Passive kHz lidar for the quantification of insect activity and dispersalSamuel Jansson0Mikkel Brydegaard1Lund Laser Centre, Department of Physics, Lund UniversityLund Laser Centre, Department of Physics, Lund UniversityAbstract 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.http://link.springer.com/article/10.1186/s40317-018-0151-5Near-field opticsLidarRemote sensingAerofaunaDark fieldModulation spectroscopy
collection DOAJ
language English
format Article
sources DOAJ
author Samuel Jansson
Mikkel Brydegaard
spellingShingle Samuel Jansson
Mikkel Brydegaard
Passive kHz lidar for the quantification of insect activity and dispersal
Animal Biotelemetry
Near-field optics
Lidar
Remote sensing
Aerofauna
Dark field
Modulation spectroscopy
author_facet Samuel Jansson
Mikkel Brydegaard
author_sort Samuel Jansson
title Passive kHz lidar for the quantification of insect activity and dispersal
title_short Passive kHz lidar for the quantification of insect activity and dispersal
title_full Passive kHz lidar for the quantification of insect activity and dispersal
title_fullStr Passive kHz lidar for the quantification of insect activity and dispersal
title_full_unstemmed Passive kHz lidar for the quantification of insect activity and dispersal
title_sort passive khz lidar for the quantification of insect activity and dispersal
publisher BMC
series Animal Biotelemetry
issn 2050-3385
publishDate 2018-05-01
description Abstract 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.
topic Near-field optics
Lidar
Remote sensing
Aerofauna
Dark field
Modulation spectroscopy
url http://link.springer.com/article/10.1186/s40317-018-0151-5
work_keys_str_mv AT samueljansson passivekhzlidarforthequantificationofinsectactivityanddispersal
AT mikkelbrydegaard passivekhzlidarforthequantificationofinsectactivityanddispersal
_version_ 1725399355916025856