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Effective parameterization of laser radar observations of atmospheric fauna
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- Malmqvist, Elin (author)
- Lund University,Lunds universitet,Förbränningsfysik,Fysiska institutionen,Institutioner vid LTH,Lunds Tekniska Högskola,Combustion Physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH
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- Jansson, Samuel (author)
- Lund University,Lunds universitet,Förbränningsfysik,Fysiska institutionen,Institutioner vid LTH,Lunds Tekniska Högskola,Combustion Physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH
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- Török, Sandra (author)
- Lund University,Lunds universitet,Förbränningsfysik,Fysiska institutionen,Institutioner vid LTH,Lunds Tekniska Högskola,Combustion Physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH
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- (creator_code:org_t)
- 2016
- 2016
- English.
- In: IEEE Journal of Selected Topics in Quantum Electronics. - 1077-260X. ; 22:3
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- 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.
Subject headings
- NATURVETENSKAP -- Biologi -- Annan biologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Other Biological Topics (hsv//eng)
- NATURVETENSKAP -- Biologi -- Ekologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Ecology (hsv//eng)
Keyword
- Biophotonics
- Ecology
- Entomology
- Environmental monitoring
- Laser radar
- Laser remote sensing
- Modulation spectroscopy
Publication and Content Type
- art (subject category)
- ref (subject category)
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