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Mikkel Brydegaard

Researcher at Lund University

Publications -  91
Citations -  1713

Mikkel Brydegaard is an academic researcher from Lund University. The author has contributed to research in topics: Lidar & Scheimpflug principle. The author has an hindex of 22, co-authored 81 publications receiving 1310 citations. Previous affiliations of Mikkel Brydegaard include Stellenbosch University.

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Super Resolution Laser Radar with Blinking Atmospheric Particles - Application to Interacting Flying Insects

TL;DR: In this paper, a laser-radar system for field entomology based on the so-called Scheimpflug principle and a continuous-wave laser was developed, where the sample-rate of this method is unconstrained by the roundtrip time of the light, and the method allows assessment of the fast oscillatory insect wing-beats and harmonics over kilometers range, e.g., for species identification and relating abundances to the topography.
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Atmospheric aerosol monitoring by an elastic Scheimpflug lidar system.

Liang Mei, +1 more
- 30 Nov 2015 - 
TL;DR: A compact and robust Scheimpflug lidar system is developed and employed for continuous atmospheric aerosol monitoring at daytime and the extinction coefficient is retrieved according to the slope method for a homogeneous atmosphere.
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Continuous-wave differential absorption lidar

TL;DR: In this paper, a novel concept of differential absorption lidar based on the Scheimpflug principle is demonstrated by measuring the range-resolved atmospheric oxygen concentration with a tunable continuous-wave narrow-band laser diode emitting around 761 nm over a path of one kilometer during night time.
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Insect monitoring with fluorescence lidar techniques: field experiments

TL;DR: Results from field experiments using a fluorescence lidar system to monitor movements of insects are reported, finding captured species, dusted with characteristic fluorescent dye powders, could be followed spatially and temporally after release.
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Towards Quantitative Optical Cross Sections in Entomological Laser Radar - Potential of Temporal and Spherical Parameterizations for Identifying Atmospheric Fauna.

TL;DR: A concept whereby laser radar observations of atmospheric fauna can be parameterized and table values for absolute cross sections can be catalogued to allow for the study of focal species such as disease vectors and pests is presented.