Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ryan L. Perroy"'
Autor:
Ryan L. Perroy, Philip Meier, Eszter Collier, Marc A. Hughes, Eva Brill, Timo Sullivan, Thomas Baur, Nina Buchmann, Lisa M. Keith
Publikováno v:
Drones, Vol 6, Iss 10, p 275 (2022)
Diagnostic testing to detect forest pathogens requires the collection of physical samples from affected trees, which can be challenging in remote or rugged environments. As an alternative to traditional ground-based sampling at breast height by field
Externí odkaz:
https://doaj.org/article/ee42c411a8f84180a1a09891cc4603ce
Autor:
Roberto Rodriguez, Ryan L. Perroy, James Leary, Daniel Jenkins, Max Panoff, Travis Mandel, Patricia Perez
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3503 (2021)
Timely, accurate maps of invasive plant species are critical for making appropriate management decisions to eliminate emerging target populations or contain infestations. High-resolution aerial imagery is routinely used to map, monitor, and detect in
Externí odkaz:
https://doaj.org/article/63bca9598f204afabf96b48ae8c572da
Autor:
Ryan L. Perroy, Timo Sullivan, David Benitez, R. Flint Hughes, Lisa M. Keith, Eva Brill, Karma Kissinger, Daniel Duda
Publikováno v:
Forests, Vol 12, Iss 8, p 1035 (2021)
Effective forest management, particularly during forest disturbance events, requires timely and accurate monitoring information at appropriate spatial scales. In Hawai‘i, widespread ‘ōhi‘a (Metrosideros polymorpha Gaud.) mortality associated w
Externí odkaz:
https://doaj.org/article/901db2eeb0e14ce38f155d73a80494e5
Publikováno v:
Journal of Applied Volcanology, Vol 6, Iss 1, Pp 1-11 (2017)
Abstract Accurately predicting lava flow path behavior is critical for active crisis management operations. The advance and emplacement of pāhoehoe flows modifies and inverts pre-existing topography, prompting the need for rapid and accurate updates
Externí odkaz:
https://doaj.org/article/b04883a2ad67406586356bd7bcda6c0e
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1846 (2020)
The early detection of plant pathogens at the landscape scale holds great promise for better managing forest ecosystem threats. In Hawai‘i, two recently described fungal species are responsible for increasingly widespread mortality in ‘ōhi‘a M
Externí odkaz:
https://doaj.org/article/6f13285db7c446f4929f1b1d44563eff
Publikováno v:
International Journal of Remote Sensing. 43:484-509
Autor:
R. deGraffenried, Hannah R. Dietterich, Thomas Shea, Julia E. Hammer, Matthew R. Patrick, Ryan L. Perroy
Publikováno v:
Bulletin of Volcanology. 83
The 2018 lower East Rift Zone (LERZ) eruption of Kīlauea, Hawai’i, provides an excellent natural laboratory with which to test models of lava flow propagation. During early stages of eruption crises, the most useful lava flow propagation equations
Autor:
Karma R. Kissinger, David Benitez, Daniel Duda, Eva Brill, Lisa M. Keith, Ryan L. Perroy, R. Flint Hughes, Timo Sullivan
Publikováno v:
Forests
Volume 12
Issue 8
Forests, Vol 12, Iss 1035, p 1035 (2021)
Volume 12
Issue 8
Forests, Vol 12, Iss 1035, p 1035 (2021)
Effective forest management, particularly during forest disturbance events, requires timely and accurate monitoring information at appropriate spatial scales. In Hawai‘i, widespread ‘ōhi‘a (Metrosideros polymorpha Gaud.) mortality associated w
Autor:
Il Won Seo, Richard R. McDonald, Ryan L. Perroy, Paul J. Kinzel, Jonathan M. Nelson, Carl J. Legleiter, Donghae Baek
Publikováno v:
Journal of Ecohydraulics. 4:131-146
We evaluated the potential of remote sensing to enhance tracer experiments by providing spatially distributed information on visible dye concentration. During tests in an experimental facility and ...
Autor:
Kyungim Baek, Monique Chyba, Kamal Oudrihi, Timothy Sullivan, Richard Carney, Guylaine Poisson, Chris Gray, Norman Lay, Alan Tong, Charlie Tommy, William Koch, Julian Pereda, Elizabeth Swantek, Ryan L. Perroy
Publikováno v:
IGARSS
The ability to collect and assess different types of data from Unmanned Aerial Systems in real-time or near real-time is still a difficult challenge. Issues faced can include significant computation times, signal strength and wireless transmission de