Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019

• Altri autori: Matese, Alessandro (Redattore)
• Natura: Elettronico Capitolo di libro
• Lingua: inglese
• Pubblicazione: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Soggetti: Research & information: general; Biology, life sciences; 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
• Accesso online: DOAB: download the publication; DOAB: description of the publication

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...