Explore
Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019
0 Ungluers have
Faved this Work
Login to Fave
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-based technologies are RGB, multispectral, and thermal infrared. LiDAR sensors are becoming commonly used to improve the estimation of relevant plant traits. In comparison with other permanent ecosystems, forests are particularly affected by climatic changes due to the longevity of the trees, and the primary objective is the conservation and protection of forests. Nevertheless, forestry and agriculture involve the cultivation of renewable raw materials, with the difference that forestry is less tied to economic aspects and this is reflected by the delay in using new monitoring technologies. The main forestry applications are aimed toward inventory of resources, map diseases, species classification, fire monitoring, and spatial gap estimation. This Special Issue focuses on new technologies (UAV and sensors) and innovative data elaboration methodologies (object recognition and machine vision) for applications in forestry.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 156 times via unglue.it ebook links.
- 52 - pdf (CC BY) at Unglue.it.
- 104 - pdf (CC BY) at res.mdpi.com.
Keywords
- accuracy assessment
- ancient trees measurement
- Biology, Life Sciences
- biomass evaluation
- burn severity
- Castanea sativa
- central Oregon
- Classification
- convolutional neural network
- convolutional neural network (CNN)
- ecohydrology
- Economics, finance, business & management
- end-to-end learning
- establishment survey
- forest fire
- forest inventory
- forest modeling
- Forest regeneration
- Forest Sampling
- Forestry & related industries
- forestry applications
- hyperspectral imagery
- Image processing
- Industry & industrial studies
- juniper woodlands
- leaf-off
- leaf-on
- Machine learning
- Mathematics & science
- Mauritia flexuosa
- multispectral classification
- multispectral image
- object-based image analysis (OBIA)
- photogrammetric point clouds
- Photogrammetry
- precision agriculture
- precision forestry
- Primary industries
- rangelands
- Reference Data
- Reference, information & interdisciplinary subjects
- Reforestation
- Remote sensing
- Reproduction
- Research & information: general
- RGB imagery
- Robinia pseudoacacia L.
- seedling detection
- seedling stand inventorying
- semantic segmentation
- short rotation coppice
- spreading
- structure from motion (SfM)
- Thematic Mapping
- tree age prediction
- UAV
- UAV photogrammetry
- unmanned aerial system (UAS)
- unmanned aerial systems
- Unmanned Aerial Systems (UAS)
- unmanned aerial vehicles
- unmanned aerial vehicles (UAV)
Links
DOI: 10.3390/books978-3-03936-755-9Editions