UAV Photogrammetry and Remote Sensing

• Eará dahkkit: Carvajal-Ramírez, Fernando (Doaimmaheaddji), Agüera-Vega, Francisco (Doaimmaheaddji), Martínez-Carricondo, Patricio (Doaimmaheaddji)
• Materiálatiipa: Elektrovnnalaš Girjji oassi
• Giella: eaŋgalasgiella
• Almmustuhtton: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Fáttát: Technology: general issues; unmanned aerial vehicle; urban LULC; GEOBIA; multiscale classification; unmanned aircraft system (UAS); deep learning; super-resolution (SR); convolutional neural network (CNN); generative adversarial network (GAN); structure-from-motion; photogrammetry; remote sensing; UAV; 3D-model; surveying; vertical wall; snow; remotely piloted aircraft systems; structure from motion; lidar; forests; orthophotography; construction planning; sustainable construction; urbanism; BIM; building maintenance; unmanned aerial vehicle (UAV); structure-from-motion (SfM); ground control points (GCP); accuracy assessment; point clouds; corridor mapping; UAV photogrammetry; terrain modeling; vegetation removal; unmanned aerial vehicles; power lines; image-based reconstruction; 3D reconstruction; unmanned aerial systems; time series; accuracy; reproducibility; orthomosaic; validation; drone; GNSS RTK; precision; elevation; multispectral imaging; vegetation indices; nutritional analysis; correlation; optimal harvest time; UAV images; monoscopic mapping; stereoscopic plotting; image overlap; optimal image selection; n/a
• Liŋkkat: DOAB: download the publication; DOAB: description of the publication

The concept of remote sensing as a way of capturing information from an object without making contact with it has, until recently, been exclusively focused on the use of Earth observation satellites.The emergence of unmanned aerial vehicles (UAV) with Global Navigation Satellite System (GNSS) contro...