Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Richard A., Fournier"'
Autor:
Antoinette Ludwig, François Rousseu, Serge Olivier Kotchi, Julie Allostry, Richard A. Fournier
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-18 (2023)
Abstract Background Climate change is increasing the dispersion of mosquitoes and the spread of viruses of which some mosquitoes are the main vectors. In Quebec, the surveillance and management of endemic mosquito-borne diseases, such as West Nile vi
Externí odkaz:
https://doaj.org/article/17262f57b12549dc9dd4f6d6475b9a42
Publikováno v:
Forests, Vol 14, Iss 2, p 287 (2023)
This study aimed to determine the optimal approach for estimating stem diameter distributions (SDD) from airborne laser scanning (ALS) data using point cloud metrics (Mals), a canopy height model (CHM) texture metrics (Mtex), and a combination thereo
Externí odkaz:
https://doaj.org/article/19efa2c2e1f444f2814420277d8d5e3d
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6217 (2022)
Identifying tree species with remote sensing techniques, such as lidar, can improve forest management decision-making, but differences in scan angle may influence classification accuracy. The multispectral Titan lidar (Teledyne Optech Inc., Vaughan,
Externí odkaz:
https://doaj.org/article/93535b53ed60475b906f413105589680
Autor:
Bastien Vandendaele, Olivier Martin-Ducup, Richard A. Fournier, Gaetan Pelletier, Philippe Lejeune
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4522 (2022)
The emergence of mobile laser scanning (MLS) systems that use simultaneous localization and mapping (SLAM) technology to map their environment opens up new opportunities for characterizing forest structure. The speed and accuracy of data acquisition
Externí odkaz:
https://doaj.org/article/f91c019b65f94c3e9cbbb8a54ac644e3
Autor:
Marc Bouvier, Sylvie Durrieu, Richard A. Fournier, Nathalie Saint-Geours, Dominique Guyon, Eloi Grau, Florian de Boissieu
Publikováno v:
Canadian Journal of Remote Sensing, Vol 45, Iss 5, Pp 650-672 (2019)
This study investigated the influence of sampling design parameters on biomass prediction accuracy obtained from airborne lidar data. A one-factor-at-a-time and a global sensitivity analyses were applied to identify the parameters most impacting mode
Externí odkaz:
https://doaj.org/article/296dc9e6eb474a6f9e1d1024663c30d4
Publikováno v:
Canadian Journal of Remote Sensing, Vol 44, Iss 2, Pp 113-130 (2018)
The main objective of this work was to detect changes in a semi-arid forest using Landsat satellite multi-temporal imagery and to circumvent the lack of data on landscape temporal changes. The differential-algebraic method (subtraction) was used on 1
Externí odkaz:
https://doaj.org/article/c5c43485a3034c9e8ebc18ed2e75c756
Autor:
Jean-François Prieur, Benoît St-Onge, Richard A. Fournier, Murray E. Woods, Parvez Rana, Daniel Kneeshaw
Publikováno v:
Sensors, Vol 22, Iss 1, p 35 (2021)
Species identification is a critical factor for obtaining accurate forest inventories. This paper compares the same method of tree species identification (at the individual crown level) across three different types of airborne laser scanning systems
Externí odkaz:
https://doaj.org/article/99cf78427fc945fd9df30841ff0bc03e
Publikováno v:
In Agricultural and Forest Meteorology 1 May 2017 237-238:184-195
Autor:
Bastien Vandendaele, Richard A. Fournier, Udayalakshmi Vepakomma, Gaetan Pelletier, Philippe Lejeune, Olivier Martin-Ducup
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2796 (2021)
UAV laser scanning (ULS) has the potential to support forest operations since it provides high-density data with flexible operational conditions. This study examined the use of ULS systems to estimate several tree attributes from an uneven-aged north
Externí odkaz:
https://doaj.org/article/a071ce5a6bb14cec9067532bd7b6cb58
Autor:
Jean-François Prieur, Benoît St-Onge, Richard A. Fournier, Murray E. Woods, Parvez Rana, Daniel Kneeshaw
Publikováno v:
Sensors, Vol 22, Iss 35, p 35 (2022)
Sensors; Volume 22; Issue 1; Pages: 35
Sensors (Basel, Switzerland)
Sensors; Volume 22; Issue 1; Pages: 35
Sensors (Basel, Switzerland)
Species identification is a critical factor for obtaining accurate forest inventories. This paper compares the same method of tree species identification (at the individual crown level) across three different types of airborne laser scanning systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f852a0360a8fac78f5119b6a0099582
https://www.mdpi.com/1424-8220/22/1/35
https://www.mdpi.com/1424-8220/22/1/35