Open Access
Issue
EPJ Web of Conferences
Volume 119, 2016
The 27th International Laser Radar Conference (ILRC 27)
Article Number 22004
Number of page(s) 4
Section Marine and Terrestrial Lidar
DOI https://doi.org/10.1051/epjconf/201611922004
Published online 07 June 2016
  1. Grüebler, M. U., Morand, M. & Naef-Daenzer, B. 2008, A predictive model of the density of airborne insects in agricultural environments. Agriculture, ecosystems & environment 123, 75-80. [CrossRef]
  2. Wickramasinghe, L. P., Harris, S., Jones, G. & Vaughan Jennings, N. 2004, Abundance and species richness of nocturnal insects on organic and conventional farms: effects of agricultural intensification on bat foraging. Conservation Biology 18, 1283-1292. [CrossRef]
  3. Fischer, J., Stott, J. & Law, B. S. 2010, The disproportionate value of scattered trees. Biological Conservation 143, 1564-1567. [CrossRef]
  4. LawI, R., Plank, M. J., James, A. & Blanchard, J. L. 2009, Size-spectra dynamics from stochastic predation and growth of individuals. Ecol. 90, 802–811. [CrossRef]
  5. Nilsson, M., Rippe, L., Kröll, S., Klieber, R. & Suter, D. 2004, Hole-burning techniques for isolation and study of individual hyperfine transitions in inhomogeneously broadened solids demonstrated in Pr3+:Y2SiO5. Phys. Rev. B 70, 214116. [CrossRef]
  6. Veres, A., Petit, S., Conord, C. & Lavigne, C. 2013, Does landscape composition affect pest abundance and their control by natural enemies? A review. Agriculture, Ecosystems & Environment 166, 110-117. [CrossRef]
  7. Potts, S. G. et al. 2010, Global pollinator declines: trends, impacts and drivers. Trends Ecol. Evol. 25, 345-353. [CrossRef] [PubMed]
  8. Brydegaard, M., Gebru, A. & Svanberg, S. 2014, Super resolution laser radar with blinking atmospheric particles – application to interacting flying insects Progress In Electromagnetics Research 147, 141-151. [CrossRef]
  9. Mei, L. & Brydegaard, M. 2014, Continous-wave differential absorption lidar. Submitted.
  10. Guan, Z. et al. 2010, Insect monitoring with fluorescence lidar techniques: Field experiments. Appl. Opt. 49, 1-11. [CrossRef] [PubMed]
  11. Runemark, A., Wellenreuther, M., Jayaweera, H., Svanberg, S. & Brydegaard, M. 2012, Rare events in remote dark field spectroscopy: an ecological case study of insects. IEEE JSTQE 18, 1573 - 1582.
  12. Hoffman, D. S., Nehrir, A. R., Repasky, K. S., Shaw, J. A. & Carlsten, J. L. 2007, Range-resolved optical detection of honeybees by use of wing-beat modulation of scattered light for locating land mines. Appl. Opt. 46, 3009-3012. [CrossRef] [PubMed]
  13. Brydegaard, M. 2014. Towards quantitative entomological laser radar. in ICO23. Santiago de Compostela, Spain.
  14. Moore, A. & Miller, R. H. 2002, Automated identification of optically sensed aphid (Homoptera: Aphidae) wingbeat waveforms. Ann. Entomol. Soc. Am. 95, 1-8. [CrossRef]
  15. Brydegaard, M. 2014. Advantages of shortwave infrared LIDAR entomology. in Imaging and Applied Optics 2014. Seattle, Washington. LW2D.6 (Optical Society of America).

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.