Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019

Unmanned aerial vehicles (UAVs) are new platforms that have been increasingly used in the last few years for forestry applications that benefit from the added value of flexibility, low cost, reliability, autonomy, and capability of timely provision of high-resolution data. The main adopted image-bas...

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Detalhes bibliográficos
Autor Corporativo: Matese, Alessandro
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2020
Assuntos:
bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNA Primary industries::KNAL Forestry & related industries
unmanned aerial vehicles
seedling detection
forest regeneration
reforestation
establishment survey
machine learning
multispectral classification
UAV photogrammetry
forest modeling
ancient trees measurement
tree age prediction
Mauritia flexuosa
semantic segmentation
end-to-end learning
convolutional neural network
forest inventory
Unmanned Aerial Systems (UAS)
structure from motion (SfM)
Unmanned Aerial Vehicles (UAV)
Photogrammetry
Thematic Mapping
Accuracy Assessment
Reference Data
Forest Sampling
Remote Sensing
Robinia pseudoacacia L.
reproduction
spreading
short rotation coppice
unmanned aerial system (UAS)
object-based image analysis (OBIA)
convolutional neural network (CNN)
juniper woodlands
ecohydrology
remote sensing
unmanned aerial systems
central Oregon
rangelands
seedling stand inventorying
photogrammetric point clouds
hyperspectral imagery
leaf-off
leaf-on
UAV
multispectral image
forest fire
burn severity
classification
precision agriculture
biomass evaluation
image processing
Castanea sativa
unmanned aerial vehicles (UAV)
precision forestry
forestry applications
RGB imagery
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/69331
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