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The Scheimpflug lidar method

Brydegaard, Mikkel LU ; Malmqvist, Elin LU ; Jansson, Samuel LU ; Larsson, Jim LU ; Török, Sandra LU and Zhao, Guangyu (2017) Lidar Remote Sensing for Environmental Monitoring 2017 In Lidar Remote Sensing for Environmental Monitoring 2017 10406.
Abstract

The recent several years we developed the Scheimpflug lidar method. We combined an invention from the 19th century with modern optoelectronics such as diode lasers and CMOS array from the 21st century. The approach exceeds expectations of background suppression, sensitivity and resolution beyond known from time-of-flight lidars. We accomplished multiband elastic atmospheric lidars for resolving single particles and aerosol plumes from 405 nm to 1550 nm. We pursued hyperspectral differential absorption lidar for molecular species. We demonstrated a simple method of inelastic hyperspectral lidar for profiling aquatic environments and vegetation structure. Not least, we have developed polarimetric Scheimpflug lidar... (More)

The recent several years we developed the Scheimpflug lidar method. We combined an invention from the 19th century with modern optoelectronics such as diode lasers and CMOS array from the 21st century. The approach exceeds expectations of background suppression, sensitivity and resolution beyond known from time-of-flight lidars. We accomplished multiband elastic atmospheric lidars for resolving single particles and aerosol plumes from 405 nm to 1550 nm. We pursued hyperspectral differential absorption lidar for molecular species. We demonstrated a simple method of inelastic hyperspectral lidar for profiling aquatic environments and vegetation structure. Not least, we have developed polarimetric Scheimpflug lidar with multi-kHz sampling rates for remote modulation spectroscopy and classification of aerofauna. All these advances are thanks to the Scheimpflug principle. Here we give a review of how far we have come and shed light on the limitations and opportunities for future directions. In particular, we show how the biosphere can be resolved with unsurpassed resolution in space and time, and share our expectation on how this can revolutionize ecological analysis and management in relation to agricultural pests, disease vectors and pollinator problematics.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Aurofauna, Environmental monitoring, Fluorescence., Lidar, Modulation spectroscopy, Polarimetrics, Raytracing, Scheimpflug
in
Lidar Remote Sensing for Environmental Monitoring 2017
volume
10406
publisher
SPIE
conference name
Lidar Remote Sensing for Environmental Monitoring 2017
external identifiers
  • scopus:85039060885
  • wos:000417337000012
ISBN
9781510612693
DOI
10.1117/12.2272939
language
English
LU publication?
yes
id
1378c0e6-f97f-49d6-b66c-886a3f491775
date added to LUP
2018-01-08 13:43:03
date last changed
2018-04-22 04:34:46
@inproceedings{1378c0e6-f97f-49d6-b66c-886a3f491775,
  abstract     = {<p>The recent several years we developed the Scheimpflug lidar method. We combined an invention from the 19<sup>th</sup> century with modern optoelectronics such as diode lasers and CMOS array from the 21<sup>st</sup> century. The approach exceeds expectations of background suppression, sensitivity and resolution beyond known from time-of-flight lidars. We accomplished multiband elastic atmospheric lidars for resolving single particles and aerosol plumes from 405 nm to 1550 nm. We pursued hyperspectral differential absorption lidar for molecular species. We demonstrated a simple method of inelastic hyperspectral lidar for profiling aquatic environments and vegetation structure. Not least, we have developed polarimetric Scheimpflug lidar with multi-kHz sampling rates for remote modulation spectroscopy and classification of aerofauna. All these advances are thanks to the Scheimpflug principle. Here we give a review of how far we have come and shed light on the limitations and opportunities for future directions. In particular, we show how the biosphere can be resolved with unsurpassed resolution in space and time, and share our expectation on how this can revolutionize ecological analysis and management in relation to agricultural pests, disease vectors and pollinator problematics.</p>},
  author       = {Brydegaard, Mikkel and Malmqvist, Elin and Jansson, Samuel and Larsson, Jim and Török, Sandra and Zhao, Guangyu},
  booktitle    = {Lidar Remote Sensing for Environmental Monitoring 2017},
  isbn         = {9781510612693},
  keyword      = {Aurofauna,Environmental monitoring,Fluorescence.,Lidar,Modulation spectroscopy,Polarimetrics,Raytracing,Scheimpflug},
  language     = {eng},
  publisher    = {SPIE},
  title        = {The Scheimpflug lidar method},
  url          = {http://dx.doi.org/10.1117/12.2272939},
  volume       = {10406},
  year         = {2017},
}