Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Murray E. Woods"'
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
Autor:
Lisa A Venier, Tom Swystun, Marc J Mazerolle, David P Kreutzweiser, Kerrie L Wainio-Keizer, Ken A McIlwrick, Murray E Woods, Xianli Wang
Publikováno v:
PLoS ONE, Vol 14, Iss 11, p e0220096 (2019)
Forest understory vegetation is an important characteristic of the forest. Predicting and mapping understory is a critical need for forest management and conservation planning, but it has proved difficult with available methods to date. LiDAR has the
Externí odkaz:
https://doaj.org/article/b517cf26bbd24bcf9e242550cb7053d5
Autor:
Tristan R H Goodbody, Nicholas C Coops, Martin Queinnec, Joanne C White, Piotr Tompalski, Andrew T Hudak, David Auty, Ruben Valbuena, Antoine LeBoeuf, Ian Sinclair, Grant McCartney, Jean-Francois Prieur, Murray E Woods
Publikováno v:
Forestry: An International Journal of Forest Research.
Establishing field inventories can be labor intensive, logistically challenging and expensive. Optimizing a sample to derive accurate forest attribute predictions is a key management-level inventory objective. Traditional sampling designs involving p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::940dab6e427f30da4954d60f820c3fc8
https://doi.org/10.1093/forestry/cpac055
https://doi.org/10.1093/forestry/cpac055
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
Publikováno v:
Remote Sensing, Vol 11, Iss 17, p 2022 (2019)
Spatial models that provide estimates of wood quality enable value chain optimization approaches that consider the market potential of trees prior to harvest. Ecological land classification units (e.g., ecosite) and structural metrics derived from Ai
Externí odkaz:
https://doaj.org/article/f3147efdd3284376ba6bca7e55800af5