Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Armand LaRocque"'
Autor:
Caroline Fink-Mercier, Melanie L. Leblanc, Fanny Noisette, Mary O'Connor, Julián Idrobo, Simon Bélanger, Paul A. del Giorgio, Michaela de Melo, Jens K. Ehn, Jean-François Giroux, Michel Gosselin, Brigitte Leblon, Urs Neumeier, Manon Sorais, Murray M. Humphries, Christopher Peck, Kaleigh E. Davis, Alessia Guzzi, Virginie Galindo, Armand LaRocque, Marc Dunn, Réal Courcelles, Carine Durocher, Jean-Philippe Gilbert, Robbie Tapiatic, Ernie Rabbitskin, Zou Zou A. Kuzyk
Publikováno v:
Arctic Science (2024)
Indigenous-driven and community-partnered research projects seeking to develop salient, legitimate, and credible knowledge bases for environmental decision-making require a multiple knowledge systems approach. When involving partners in addition to c
Externí odkaz:
https://doaj.org/article/e2cb5dc72a774f9693b59a30c924f844
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2717 (2024)
The eastern coastline of James Bay is known to have been home to sizeable eelgrass beds (Zostera marina L.) which thrived in the bay’s shallow, subarctic waters. The region was subjected to substantial hydroelectric dams, large fires, and other hum
Externí odkaz:
https://doaj.org/article/5c444305c8ed4f42844048f75c063719
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1049 (2024)
Monitoring salt marshes with remote sensing is necessary to evaluate their state and restoration. Determining appropriate techniques for this can be overwhelming. Our study provides insight into whether a pixel- or object-based Random Forest classifi
Externí odkaz:
https://doaj.org/article/06c6d6cac2a640e8bc9dc1107fd57291
Autor:
Odysseas Vlachopoulos, Brigitte Leblon, Jinfei Wang, Ataollah Haddadi, Armand LaRocque, Greg Patterson
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 297-308 (2022)
This study presents the results of a field experiment conducted for assessing the crop health status of several barley and oat crop fields in Prince Edward Island, Canada. The crop fields were mapped with an unmanned aircraft system (UAS), and the cr
Externí odkaz:
https://doaj.org/article/1db096eab6ba49f1b91832224d112ec8
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3558 (2023)
Accurate and efficient orchard tree inventories are essential for acquiring up-to-date information, which is necessary for effective treatments and crop insurance purposes. Surveying orchard trees, including tasks such as counting, locating, and asse
Externí odkaz:
https://doaj.org/article/cf2bf7ed54574096800366a19f827432
Publikováno v:
Canadian Journal of Remote Sensing, Vol 47, Iss 1, Pp 65-82 (2021)
The recent world-wide loss of seagrasses, which are critical components of coastal ecosystems, has ignited an effort among scientists and resource managers to develop effective monitoring tools. Although Landsat time-series is considered one of the m
Externí odkaz:
https://doaj.org/article/0f79dcac80bd467083a7b1e68a21a398
Autor:
Meisam Amani, Brian Brisco, Sahel Mahdavi, Arsalan Ghorbanian, Armin Moghimi, Evan R. DeLancey, Michael Merchant, Raymond Jahncke, Lee Fedorchuk, Amy Mui, Thierry Fisette, Mohammad Kakooei, Seyed Ali Ahmadi, Brigitte Leblon, Armand LaRocque
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 32-52 (2021)
The first Canadian wetland inventory (CWI) map, which was based on Landsat data, was produced in 2019 using the Google Earth Engine (GEE) big data processing platform. The proposed GEE-based method to create the preliminary CWI map proved to be a cos
Externí odkaz:
https://doaj.org/article/42c8fff3e3e4427b9e06b26ff12dbf76
Publikováno v:
Canadian Journal of Remote Sensing, Vol 46, Iss 5, Pp 640-659 (2020)
Eelgrass (Zostera marina L.) is a marine angiosperm plant that grows throughout coastal areas in Atlantic Canada. Eelgrass meadows provide numerous ecosystem services while they have been acknowledged as important habitats, their location, extent, an
Externí odkaz:
https://doaj.org/article/ab41bf436f69485f86ac2a96a1ed7502
Autor:
Odysseas Vlachopoulos, Brigitte Leblon, Jinfei Wang, Ataollah Haddadi, Armand LaRocque, Greg Patterson
Publikováno v:
Canadian Journal of Remote Sensing, Vol 46, Iss 4, Pp 489-500 (2020)
The use of aerial remote sensing platforms such as Unmanned Aircraft Systems (UAS) has been proven as a cost and time effective way to perform tasks related to precision agriculture and decision making. Two machine learning (ML) algorithms have been
Externí odkaz:
https://doaj.org/article/69a7a8f92fb34307ad9cc9b3bbbd2ef8
Publikováno v:
Canadian Journal of Remote Sensing, Vol 44, Iss 5, Pp 491-512 (2018)
The Canadian Arctic is currently subject to increased mapping activities for providing better knowledge to assist in making informed decisions for sustainable development. Surficial material maps are one of the required maps. For an area located in N
Externí odkaz:
https://doaj.org/article/636ad27085b5412eb37ac092dc230bfe