Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest
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Fields of papers citing Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest
This network shows the impact of Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest.
About Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest
This paper, published in 2017, received 313 indexed citations . Written by Midhun Mohan, Carlos Alberto Silva, Carine Klauberg, Prahlad Jat, Glenn P. Catts, Adrián Cardíl, Andrew T. Hudak and Mahendra Dia covering the research area of Geology, Insect Science and Environmental Engineering. It is primarily cited by scholars working on Environmental Engineering (269 citations), Ecology (157 citations) and Geology (88 citations). Published in Forests.
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This paper is also available at doi.org/10.3390/f8090340.