Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019

• Autore: Matese Alessandro
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (184 p.)
• Soggetto topico: Biology, life sciences; Forestry & related industries; Research & information: general
• Soggetto non controllato: Accuracy Assessment; ancient trees measurement; biomass evaluation; burn severity; Castanea sativa; central Oregon; classification; convolutional neural network; convolutional neural network (CNN); ecohydrology; end-to-end learning; establishment survey; forest fire; forest inventory; forest modeling; forest regeneration; Forest Sampling; forestry applications; hyperspectral imagery; image processing; juniper woodlands; leaf-off; leaf-on; machine learning; Mauritia flexuosa; multispectral classification; multispectral image; object-based image analysis (OBIA); photogrammetric point clouds; Photogrammetry; precision agriculture; precision forestry; rangelands; Reference Data; reforestation; remote sensing; Remote Sensing; reproduction; 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); Unmanned Aerial Vehicles (UAV)
• Persona (resp. second.): MateseAlessandro
• Sommario/riassunto: 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.
• Altri titoli varianti: Forestry Applications of Unmanned Aerial Vehicles
• Titolo autorizzato: Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557112103321
• Lo trovi qui: Univ. Federico II