Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Grant, Hamilton"'
Autor:
Pirunthan Keerthinathan, Narmilan Amarasingam, Jane E. Kelly, Nicolas Mandel, Remy L. Dehaan, Lihong Zheng, Grant Hamilton, Felipe Gonzalez
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2363 (2024)
The prevalence of the invasive species African Lovegrass (Eragrostis curvula, ALG thereafter) in Australian landscapes presents significant challenges for land managers, including agricultural losses, reduced native species diversity, and heightened
Externí odkaz:
https://doaj.org/article/a78c4530248d434e8e5ec5857f36d5e5
Publikováno v:
Ecology and Evolution, Vol 11, Iss 11, Pp 6649-6656 (2021)
Abstract Drones and machine learning‐based automated detection methods are being used by ecologists to conduct wildlife surveys with increasing frequency. When traditional survey methods have been evaluated, a range of factors have been found to in
Externí odkaz:
https://doaj.org/article/004da3439e464a9c880f7ca90436208f
Autor:
Grant Hamilton
In this important new study, Hamilton establishes and develops innovative links between the sites of postcolonial literary theory, the fiction of the South African/Australian academic and Nobel Prize-winning writer J.M. Coetzee, and the work of the F
Publikováno v:
Ecology and Evolution, Vol 10, Iss 15, Pp 8176-8185 (2020)
Abstract Reliable estimates of abundance are critical in effectively managing threatened species, but the feasibility of integrating data from wildlife surveys completed using advanced technologies such as remotely piloted aircraft systems (RPAS) and
Externí odkaz:
https://doaj.org/article/36edb9fc554a445097ee5486a1cf3547
Autor:
Megan Winsen, Grant Hamilton
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1694 (2023)
Light detection and ranging (LiDAR) has been a tool of choice for 3D dense point cloud reconstructions of forest canopy over the past two decades, but advances in computer vision techniques, such as structure from motion (SfM) photogrammetry, have tr
Externí odkaz:
https://doaj.org/article/f035a9a7971c4758afdc95460fb941ec
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2432 (2022)
Effective management of threatened and invasive species requires regular and reliable population estimates. Drones are increasingly utilised by ecologists for this purpose as they are relatively inexpensive. They enable larger areas to be surveyed th
Externí odkaz:
https://doaj.org/article/a12f7ae6203e4d8ab0c3f54e7a1aa8ef
Autor:
Peter W. J. Baxter, Grant Hamilton
Publikováno v:
Ecosphere, Vol 9, Iss 4, Pp n/a-n/a (2018)
Abstract Despite the increasing importance of new survey tools such as unmanned aerial vehicles (UAVs), the implications of how their spatial deployment may interact with species detection errors have not yet been assessed. Acknowledging and incorpor
Externí odkaz:
https://doaj.org/article/75eb38968b56415a9d21abf025969e03
Autor:
Grant Hamilton Morris
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ab39b813d032521ac647f34f81c968e
https://doi.org/10.2139/ssrn.4297524
https://doi.org/10.2139/ssrn.4297524
Autor:
Ashlee Sudholz, Matthew Amos, Anthony R. Pople, Grant Hamilton, Michael Brennan, Simon Denman
Publikováno v:
Wildlife Research. 49:46-53
Context Monitoring is an essential part of managing invasive species; however, accurate, cost-effective detection techniques are necessary for it to be routinely undertaken. Current detection techniques for invasive deer are time consuming, expensive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b39043374614587870bdfe48f8a20a19
https://doi.org/10.1071/wr20169
https://doi.org/10.1071/wr20169
Publikováno v:
Methods in Ecology and Evolution. 12:1103-1114
Accurate detection of individual animals is integral to the management of vulnerable wildlife species, but often difficult and costly to achieve for species that occur over wide or inaccessible areas or engage in cryptic behaviours. There is a growin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::339bc2e16a421082198eebb5e9d81deb
https://doi.org/10.1111/2041-210x.13581
https://doi.org/10.1111/2041-210x.13581