Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Robert H Fraser"'
Autor:
Steven V. Kokelj, Tristan Gingras-Hill, Seamus V. Daly, Peter D. Morse, Stephen A. Wolfe, Ashley C.A. Rudy, Jurjen van der Sluijs, Niels Weiss, H. Brendan O'Neill, Jennifer L. Baltzer, Trevor C. Lantz, Carolyn Gibson, Dieter Cazon, Robert H. Fraser, Duane G. Froese, Garfield Giff, Charles Klengenberg, Scott F. Lamoureux, William L. Quinton, Merritt R. Turetsky, Alexandre Chiasson, Celtie Ferguson, Mike Newton, Mike Pope, Jason A. Paul, M. Alice Wilson, Joseph M. Young
Publikováno v:
Arctic Science, Vol 9, Iss 4, Pp 886-918 (2023)
This paper documents the first comprehensive inventory of thermokarst and thaw-sensitive terrain indicators for a 2 million km2 region of northwestern Canada. This is accomplished through the Thermokarst Mapping Collective (TMC), a research collabora
Externí odkaz:
https://doaj.org/article/7e959053e1274990987f61640773f364
Publikováno v:
Arctic Science, Vol 9, Iss 4, Pp 838-855 (2023)
Northern ecosystems are vulnerable to surface disturbances caused by warming climate and human activities. The Ogilvie Mountains in central Yukon are an important region that should be monitored, as it is a major transportation corridor connecting no
Externí odkaz:
https://doaj.org/article/d06abc88b4d74a7caaef76ed01d6d768
Autor:
Jurjen van der Sluijs, Eyal Saiet, Carolyn N. Bakelaar, Andrew Wentworth, Robert H. Fraser, Steven V. Kokelj
Publikováno v:
Drone Systems and Applications, Vol 11, Iss , Pp 1-15 (2023)
Aerial drones typically operate over small geographic areas (
Externí odkaz:
https://doaj.org/article/cf9fdff6534844d9b9d6ec9eb03f136e
Autor:
Darren Pouliot, Mao Mao, Robert H. Fraser, Blair Kennedy, Sylvain G. Leblanc, Liming He, Wenjun Chen
Publikováno v:
Arctic Science, Vol 8, Iss 4, Pp 1276-1287 (2022)
Effective plot-based field sampling involves a trade-off between implementation efficiency and sample error. Optimal field sampling therefore requires quantifying the sample error under various sampling designs. For remote sensing applications, it is
Externí odkaz:
https://doaj.org/article/8c54ce860c2644c5919a24420dc2be04
Publikováno v:
Environmental Research Letters, Vol 19, Iss 4, p 044061 (2024)
Beavers strongly impact hydrology and ecosystems through their widespread dam building that creates ponds and wetlands. Monitoring the relative abundance of beavers and their waterbodies is needed to assess these effects and factors influencing popul
Externí odkaz:
https://doaj.org/article/2ccfe357dfd44eb1b905b205ffb30b3e
Publikováno v:
Canadian Journal of Remote Sensing, Vol 48, Iss 1, Pp 5-18 (2022)
Reindeer lichens (Cladonia spp.) are an important food source for woodland and barren ground caribou herds. In this study, we assessed Cladonia classification accuracy in a rocky, Canadian Shield landscape near Yellowknife, Northwest Territories usin
Externí odkaz:
https://doaj.org/article/0c6e31516e514774b60d3cde3b9214be
Publikováno v:
Drone Systems and Applications, Vol 10, Iss 1, Pp 406-426 (2022)
Measuring ground elevation changes plays a crucial role in several environmental applications. For instance, permafrost soils undergo seasonal active layer freezing and thawing that causes cyclic elevation changes. Permafrost thaw can result in unidi
Externí odkaz:
https://doaj.org/article/6a101294f95049418b26c60cbc73bdf7
Publikováno v:
Arctic Science, Vol 5, Iss 4, Pp 167-184 (2019)
Shifts in the extent of the boreal forest during past warm intervals and correlations between climate and the position of the forest–tundra ecotone suggest that recent temperature increases will facilitate forest expansion into tundra ecosystems. I
Externí odkaz:
https://doaj.org/article/b9569e567685432d97dcaac71709e94c
Autor:
Lingcao Huang, Trevor C. Lantz, Robert H. Fraser, Kristy F. Tiampo, Michael J. Willis, Kevin Schaefer
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2747 (2022)
Deep learning has been used for mapping retrogressive thaw slumps and other periglacial landforms but its application is still limited to local study areas. To understand the accuracy, efficiency, and transferability of a deep learning model (i.e., D
Externí odkaz:
https://doaj.org/article/a68c0037dafe47798a3d3caae0c53ee4
Publikováno v:
Arctic Science, Vol 4, Iss 4, Pp 827-845 (2018)
Thaw slumps are one of the most dynamic features in permafrost terrain. Improved temporal and spatial resolution monitoring of slump activity is required to better characterize their dynamics over the thaw season. We assess how a ground-based station
Externí odkaz:
https://doaj.org/article/9413ebf3b1c548ad916ab7dd0f8b8638