Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Ethan P. White"'
Autor:
Ben G. Weinstein, Sergio Marconi, Sarah J. Graves, Alina Zare, Aditya Singh, Stephanie A. Bohlman, Lukas Magee, Daniel J. Johnson, Phillip A. Townsend, Ethan P. White
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 9, Iss 5, Pp 656-670 (2023)
Abstract Measuring forest biodiversity using terrestrial surveys is expensive and can only capture common species abundance in large heterogeneous landscapes. In contrast, combining airborne imagery with computer vision can generate individual tree d
Externí odkaz:
https://doaj.org/article/a043d76c84c046d4afe297ff4d93f56c
Autor:
Sarah J. Graves, Sergio Marconi, Dylan Stewart, Ira Harmon, Ben Weinstein, Yuzi Kanazawa, Victoria M. Scholl, Maxwell B. Joseph, Joseph McGlinchy, Luke Browne, Megan K. Sullivan, Sergio Estrada-Villegas, Daisy Zhe Wang, Aditya Singh, Stephanie Bohlman, Alina Zare, Ethan P. White
Publikováno v:
PeerJ, Vol 11, p e16578 (2023)
Data on individual tree crowns from remote sensing have the potential to advance forest ecology by providing information about forest composition and structure with a continuous spatial coverage over large spatial extents. Classifying individual tree
Externí odkaz:
https://doaj.org/article/69acbf6fc72741f2945caa453ffee2ff
Autor:
Dylan Stewart, Alina Zare, Sergio Marconi, Ben G. Weinstein, Ethan P. White, Sarah J. Graves, Stephanie A. Bohlman, Aditya Singh
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11229-11239 (2021)
Supervised methods for object delineation in remote sensing require labeled ground-truth data. Gathering sufficient high quality ground-truth data is difficult, especially when targets are of irregular shape or difficult to distinguish from backgroun
Externí odkaz:
https://doaj.org/article/b3004e22a27c4369a7331fd04e2a81c8
Autor:
Daniel M. Perkins, Andrea Perna, Rita Adrian, Pedro Cermeño, Ursula Gaedke, Maria Huete-Ortega, Ethan P. White, Gabriel Yvon-Durocher
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
Given the size differences between the autotrophs in aquatic and terrestrial systems, it is unclear whether the same metabolic scaling patterns apply in both groups. Here the authors unify previous datasets and show that plankton and trees follow sim
Externí odkaz:
https://doaj.org/article/d8dfbc316bc04e92906f544a29223131
Autor:
Sergio Marconi, Sarah J. Graves, Dihong Gong, Morteza Shahriari Nia, Marion Le Bras, Bonnie J. Dorr, Peter Fontana, Justin Gearhart, Craig Greenberg, Dave J. Harris, Sugumar Arvind Kumar, Agarwal Nishant, Joshi Prarabdh, Sundeep U. Rege, Stephanie Ann Bohlman, Ethan P. White, Daisy Zhe Wang
Publikováno v:
PeerJ, Vol 6, p e5843 (2019)
Ecology has reached the point where data science competitions, in which multiple groups solve the same problem using the same data by different methods, will be productive for advancing quantitative methods for tasks such as species identification fr
Externí odkaz:
https://doaj.org/article/d5db38cd8de94758a70ea670b9865530
Publikováno v:
PeerJ, Vol 6, p e6019 (2018)
Ecological communities are composed of a combination of core species that maintain local viable populations and transient species that occur infrequently due to dispersal from surrounding regions. Preliminary work indicates that while core and transi
Externí odkaz:
https://doaj.org/article/4b88a2ab6f454a01b825e6140614ce6a
Publikováno v:
PeerJ, Vol 6, p e4278 (2018)
Biodiversity forecasts are important for conservation, management, and evaluating how well current models characterize natural systems. While the number of forecasts for biodiversity is increasing, there is little information available on how well th
Externí odkaz:
https://doaj.org/article/037679ca9a8748a5aa9d8c5648e9edf3
Publikováno v:
PeerJ, Vol 4, p e2823 (2016)
A number of different models have been proposed as descriptions of the species-abundance distribution (SAD). Most evaluations of these models use only one or two models, focus on only a single ecosystem or taxonomic group, or fail to use appropriate
Externí odkaz:
https://doaj.org/article/c5f09745a7fe4c82975cc1c29a7c82de
Publikováno v:
PeerJ, Vol 1, p e212 (2013)
The Maximum Entropy Theory of Ecology (METE) predicts a universal species–area relationship (SAR) that can be fully characterized using only the total abundance (N) and species richness (S) at a single spatial scale. This theory has shown promise f
Externí odkaz:
https://doaj.org/article/9209748c7f6d477caf3d224e9d446f29
Autor:
Ben G. Weinstein, Sergio Marconi, Sarah J Graves, Alina Zare, Aditya Singh, Stephanie A Bohlman, Lukas Magee, Daniel J. Johnson, Phillip A. Townsend, Ethan P. White
Measuring forest biodiversity using terrestrial surveys is expensive and can only capture common species abundance in large heterogeneous landscapes. In contrast, combining airborne imagery with computer vision can generate individual tree data at th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c03c392f56bf367086fbcd12c0be376
https://doi.org/10.1101/2022.12.07.519493
https://doi.org/10.1101/2022.12.07.519493