Zobrazeno 1 - 10
of 494
pro vyhledávání: '"Knudby, A"'
Autor:
James J. Logan, Anders Knudby, Patrick A. Leighton, Benoit Talbot, Roman McKay, Tim Ramsay, Justine I. Blanford, Nicholas H. Ogden, Manisha A. Kulkarni
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The environmental risk of Lyme disease, defined by the density of Ixodes scapularis ticks and their prevalence of Borrelia burgdorferi infection, is increasing across the Ottawa, Ontario region, making this a unique location to explore the f
Externí odkaz:
https://doaj.org/article/fedf2938a7f148fb9bc997aa7b360bc5
Autor:
James J. Logan, Michael Sawada, Anders Knudby, Tim Ramsay, Justine I. Blanford, Nicholas H. Ogden, Manisha A. Kulkarni
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background The number of Lyme disease risk areas in Canada is growing. In regions with emerging tick populations, it is important to emphasize peridomestic risk and the importance of protective behaviours in local public health communication
Externí odkaz:
https://doaj.org/article/ec274bdb07554b2eac1d6d2d4bf42207
Publikováno v:
In Remote Sensing of Environment 1 September 2024 311
Autor:
Logan, James J.1 (AUTHOR) jtomp061@uottawa.ca, Knudby, Anders2 (AUTHOR), Leighton, Patrick A.3 (AUTHOR), Talbot, Benoit1 (AUTHOR), McKay, Roman1 (AUTHOR), Ramsay, Tim1,4 (AUTHOR), Blanford, Justine I.5 (AUTHOR), Ogden, Nicholas H.6 (AUTHOR), Kulkarni, Manisha A.1 (AUTHOR)
Publikováno v:
Scientific Reports. 6/7/2024, Vol. 14 Issue 1, p1-13. 13p.
Publikováno v:
In Remote Sensing of Environment 15 December 2024 315
Autor:
Lin, Yiwen, Jensen Knudby, Anders
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation November 2023 124
Autor:
Knudby, Anders, Richardson, Galen
Publikováno v:
In Remote Sensing Applications: Society and Environment November 2023 32
Autor:
Yiwen Lin, Anders Jensen Knudby
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 124, Iss , Pp 103512- (2023)
We developed and tested a fully automated method to extract bathymetric photons globally from ICESat-2 ATLAS data by leveraging the PointNet++ model, which performs well for classification and segmentation of point clouds. Training data was collected
Externí odkaz:
https://doaj.org/article/884a3d5ddd2048658efce27fed3425b7
Publikováno v:
In Journal of Quantitative Spectroscopy and Radiative Transfer July 2023 303
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