Effective parameterization of laser radar observations of atmospheric fauna

Elin Malmqvist; Samuel Jansson; Sandra Török; Mikkel Brydegaard Sorensen

doi:10.1109/JSTQE.2015.2506616

Effective parameterization of laser radar observations of atmospheric fauna

Elin Malmqvist, Samuel Jansson, Sandra Török, Mikkel Brydegaard Sorensen

Combustion Physics

Research output: Contribution to journal › Article › peer-review

Abstract

The pace at which the world's ecosystems and biodiversity of, e.g., pollinators decline is currently at a rate where it is challenging to document. In recent years, our group has made an effort to bridge the disciplines of laser remote sensing and biophotonics, and we have developed lidar methods for inventorying the biosphere. Here, we present an effective method for extracting fauna observations from atmospheric lidar data and reducing the observations to a set of descriptive parameters. Kilohertz-lidar data are used, the essential steps are walked through and a glimpse of the obtainable data product is presented.

Original language	English
Article number	690408
Journal	IEEE Journal of Selected Topics in Quantum Electronics
Volume	22
Issue number	3
DOIs	https://doi.org/10.1109/JSTQE.2015.2506616
Publication status	Published - 2016 May 1

Subject classification (UKÄ)

Other Biological Topics
Ecology

Free keywords

Biophotonics
Ecology
Entomology
Environmental monitoring
Laser radar
Laser remote sensing
Modulation spectroscopy

Access to Document

10.1109/JSTQE.2015.2506616

2 Doctoral Thesis (compilation)

Entomological Lidar: Target Characterization and Field Applications
Jansson, S., 2020 Jan 21, Lund: Department of Physics, Lund University. 297 p.
Research output: Thesis › Doctoral Thesis (compilation)

Open Access
File
From Fauna to Flames: Remote Sensing with Scheimpflug Lidar
Malmqvist, E., 2019, Department of Physics, Lund University.
Research output: Thesis › Doctoral Thesis (compilation)

Open Access
File

Cite this

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title = "Effective parameterization of laser radar observations of atmospheric fauna",

abstract = "The pace at which the world's ecosystems and biodiversity of, e.g., pollinators decline is currently at a rate where it is challenging to document. In recent years, our group has made an effort to bridge the disciplines of laser remote sensing and biophotonics, and we have developed lidar methods for inventorying the biosphere. Here, we present an effective method for extracting fauna observations from atmospheric lidar data and reducing the observations to a set of descriptive parameters. Kilohertz-lidar data are used, the essential steps are walked through and a glimpse of the obtainable data product is presented.",

keywords = "Biophotonics, Ecology, Entomology, Environmental monitoring, Laser radar, Laser remote sensing, Modulation spectroscopy",

author = "Elin Malmqvist and Samuel Jansson and Sandra T{\"o}r{\"o}k and {Brydegaard Sorensen}, Mikkel",

year = "2016",

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language = "English",

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journal = "IEEE Journal of Selected Topics in Quantum Electronics",

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AU - Malmqvist, Elin

AU - Jansson, Samuel

AU - Török, Sandra

AU - Brydegaard Sorensen, Mikkel

PY - 2016/5/1

Y1 - 2016/5/1

N2 - The pace at which the world's ecosystems and biodiversity of, e.g., pollinators decline is currently at a rate where it is challenging to document. In recent years, our group has made an effort to bridge the disciplines of laser remote sensing and biophotonics, and we have developed lidar methods for inventorying the biosphere. Here, we present an effective method for extracting fauna observations from atmospheric lidar data and reducing the observations to a set of descriptive parameters. Kilohertz-lidar data are used, the essential steps are walked through and a glimpse of the obtainable data product is presented.

AB - The pace at which the world's ecosystems and biodiversity of, e.g., pollinators decline is currently at a rate where it is challenging to document. In recent years, our group has made an effort to bridge the disciplines of laser remote sensing and biophotonics, and we have developed lidar methods for inventorying the biosphere. Here, we present an effective method for extracting fauna observations from atmospheric lidar data and reducing the observations to a set of descriptive parameters. Kilohertz-lidar data are used, the essential steps are walked through and a glimpse of the obtainable data product is presented.

KW - Biophotonics

KW - Ecology

KW - Entomology

KW - Environmental monitoring

KW - Laser radar

KW - Laser remote sensing

KW - Modulation spectroscopy

U2 - 10.1109/JSTQE.2015.2506616

DO - 10.1109/JSTQE.2015.2506616

M3 - Article

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SN - 1077-260X

VL - 22

JO - IEEE Journal of Selected Topics in Quantum Electronics

JF - IEEE Journal of Selected Topics in Quantum Electronics

IS - 3

M1 - 690408

ER -

Effective parameterization of laser radar observations of atmospheric fauna

Abstract

Subject classification (UKÄ)

Free keywords

Access to Document

Fingerprint

Research output

Entomological Lidar: Target Characterization and Field Applications

From Fauna to Flames: Remote Sensing with Scheimpflug Lidar

Cite this