Remote Sensing in Agriculture: State-of-the-Art |
Autore | Borgogno-Mondino Enrico |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (220 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
Soggetto non controllato |
feature selection
spectral angle mapper support vector machine support vector regression hyperspectral imaging UAV cross-scale yellow rust spatial resolution winter wheat MODIS northern Mongolia remote sensing indices spring wheat yield estimation UAV-based LiDAR biomass crop height field phenotyping oasis crop type mapping Sentinel-1 and 2 integration statistically homogeneous pixels (SHPs) red-edge spectral bands and indices recursive feature increment (RFI) random forest (RF) unmanned aerial vehicles (UAVs) remote sensing (RS) thermal UAV RS thermal infrared (TIR) precision agriculture (PA) crop water stress monitoring plant disease detection vegetation status monitoring Landsat data blending crop yield prediction gap-filling volumetric soil moisture synthetic aperture radar (SAR) Sentinel-1 soil moisture semi-empirical model soil moisture Karnataka India reflectance digital number (DN) vegetation index (VI) Parrot Sequoia (Sequoia) DJI Phantom 4 Multispectral (P4M) Synthetic Aperture Radar SAR lodging Hidden Markov Random Field HMRF CDL corn soybean crop Monitoring crop management apple orchard damage polarimetric decomposition entropy anisotropy alpha angle storm damage mapping economic loss insurance support |
ISBN | 3-0365-5484-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Remote Sensing in Agriculture |
Record Nr. | UNINA-9910637779903321 |
Borgogno-Mondino Enrico
![]() |
||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Remote Sensing of Flow Velocity, Channel Bathymetry, and River Discharge |
Autore | Legleiter Carl |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (286 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
estuary
morphology rapid assessment bathymetry flow velocity salinity tool remotely-sensed imagery small unmanned aerial system (sUAS) river flow thermal infrared imagery particle image velocimetry lidar bathymetry fluvial geomorphology change detection remotely piloted aircraft system refraction correction structure-from-motion photogrammetry water surface elevation topographic error machine learning UAV LiDAR airborne laser bathymetry full waveform processing performance assessment high resolution hydro-mapping remote sensing rivers discharge hydrology modelling ungauged basins Alaska river PIV large-scale particle image velocimetry LSPIV surface velocity river discharge Doppler radar pulsed radar probability concept water temperature salmonids Pend Oreille River thermal infrared (TIR) acoustic Doppler current profiler (ADCP) channel bathymetry cold-water refuge dam flooding high-water marks (HWMs) small unmanned aircraft systems (sUAS) drone photogrammetry hydraulic modeling aerial photography surveying inundation Landsat streamflow flow frequency satellite revisit time flow regime |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557114203321 |
Legleiter Carl
![]() |
||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|