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Atmospheric Measurements with Unmanned Aerial Systems (UAS)
| Atmospheric Measurements with Unmanned Aerial Systems (UAS) |
| Autore | Guzman Marcelo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
unmanned aerial vehicles (UAV)
drones geostatistics atmospheric physics meteorology spatial sampling unmanned aerial vehicles unmanned aerial systems, turbulence atmospheric boundary layer TK-1G sounding rocket near space data analysis remote sensing unmanned aerial systems atmospheric composition sensors UAS RPAS ALADINA airborne turbulence radiation measurements aerosol measurements field experiments validation methods unmanned aircraft meteorological observation stable atmospheric boundary layer turbulence remotely piloted aircraft systems (RPAS) ground-based in-situ observations boundary layer remote sensing Arctic polar sea ice source estimation methane emissions natural gas leak surveys inverse emissions MONITOR UAV LDAR air pollution unmanned aerial vehicle (UAV) PM2.5 meteorological condition long-distance transport satellite data RMLD-UAV methane mass flux leak rate quantification wind speed and direction estimation algorithms flow probes airspeed measurement small unmanned aircraft systems (sUAS) |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Atmospheric Measurements with Unmanned Aerial Systems |
| Record Nr. | UNINA-9910557665003321 |
Guzman Marcelo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019
| Forestry Applications of Unmanned Aerial Vehicles (UAVs) 2019 |
| Autore | Matese Alessandro |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (184 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Forestry & related industries |
| Soggetto non controllato |
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 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Forestry Applications of Unmanned Aerial Vehicles |
| Record Nr. | UNINA-9910557112103321 |
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Matese Alessandro
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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