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Coastal Waters Monitoring Using Remote Sensing Technology
| Coastal Waters Monitoring Using Remote Sensing Technology |
| Autore | Vignudelli Stefano |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (498 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
ACOLITE
coastal waters atmospheric correction time-series management Sentinel-2 radon transform remote sensing bathymetry inversion multi-scale monitoring image augmentation phytoplankton remote sensing coastal ocean red tides black pixel assumption satellite sediment transport coastal geomorphology ocean color GOCI VIIRS turbid waters satellite-derived bathymetry Copernicus programme multi-temporal approach lidar turbidity coastal upwelling wind forcing river plume MODIS Arctic Ocean hurricanes water quality Puerto Rico harmful algal blooms Chattonella spp Skeletonema spp backscattering Ariake Sea chlorophyll-a variability spring–neap tides MODIS-Aqua total suspended sediment river discharge band registration morphological registration multispectral camera Micasense Rededge-M Pearl River estuary diffuse attenuation coefficient S-EOF land subsidence multi-temporal SAR interferometry sea-surface height relative sea level change satellite altimetry data GNSS coastal urban centers natural protected areas climate change impact physics-based inversion method ocean surface circulation high frequency radar self-organizing map empirical orthogonal function neural networks synoptic characteristics wave radar sea waves model data Mediterranean sea small river plume aerial drone coastal processes frontal zones internal waves along-track interferometric synthetic aperture radar (ATI-SAR) current line-of-sight (LOS) velocity azimuth ambiguity baseline-to-platform speed ratio estimation storm surge coastal flooding marine storms natural hazards steric-effect satellite altimetry ADG/CDOM colored dissolved organic matter Sentinel 3 southwestern Puerto Rico ocean tidal backwater stage–discharge relation ocean tide model Mekong Delta suspended particulate matter ocean color data satellite remote sensing in situ measurements C2RCC Landsat-8 OLI Sentinel-2 MSI Mzymta River Black Sea MUR SST SST fronts Inner Sea of Chiloé northern Patagonia suspended sediment Typhoon Soudelor spatial–temporal distribution HF marine radars wave energy |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566467303321 |
Vignudelli Stefano
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing for Precision Nitrogen Management
| Remote Sensing for Precision Nitrogen Management |
| Autore | Miao Yuxin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (602 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
UAS
multiple sensors vegetation index leaf nitrogen accumulation plant nitrogen accumulation pasture quality airborne hyperspectral imaging random forest regression sun-induced chlorophyll fluorescence (SIF) SIF yield indices upward downward leaf nitrogen concentration (LNC) wheat (Triticum aestivum L.) laser-induced fluorescence leaf nitrogen concentration back-propagation neural network principal component analysis fluorescence characteristics canopy nitrogen density radiative transfer model hyperspectral winter wheat flooded rice pig slurry aerial remote sensing vegetation indices N recommendation approach Mediterranean conditions nitrogen vertical distribution plant geometry remote sensing maize UAV multispectral imagery LNC non-parametric regression red-edge NDRE dynamic change model sigmoid curve grain yield prediction leaf chlorophyll content red-edge reflectance spectral index precision N fertilization chlorophyll meter NDVI NNI canopy reflectance sensing N mineralization farmyard manures Triticum aestivum discrete wavelet transform partial least squares hyper-spectra rice nitrogen management reflectance index multiple variable linear regression Lasso model Multiplex®3 sensor nitrogen balance index nitrogen nutrition index nitrogen status diagnosis precision nitrogen management terrestrial laser scanning spectrometer plant height biomass nitrogen concentration precision agriculture unmanned aerial vehicle (UAV) digital camera leaf chlorophyll concentration portable chlorophyll meter crop PROSPECT-D sensitivity analysis UAV multispectral imagery spectral vegetation indices machine learning plant nutrition canopy spectrum non-destructive nitrogen status diagnosis drone multispectral camera SPAD smartphone photography fixed-wing UAV remote sensing random forest canopy reflectance crop N status Capsicum annuum proximal optical sensors Dualex sensor leaf position proximal sensing cross-validation feature selection hyperparameter tuning image processing image segmentation nitrogen fertilizer recommendation supervised regression RapidSCAN sensor nitrogen recommendation algorithm in-season nitrogen management nitrogen use efficiency yield potential yield responsiveness standard normal variate (SNV) continuous wavelet transform (CWT) wavelet features optimization competitive adaptive reweighted sampling (CARS) partial least square (PLS) grapevine hyperparameter optimization multispectral imaging precision viticulture RGB multispectral coverage adjusted spectral index vegetation coverage random frog algorithm active canopy sensing integrated sensing system discrete NIR spectral band data soil total nitrogen concentration moisture absorption correction index particle size correction index coupled elimination |
| ISBN | 3-0365-5710-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637794503321 |
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Miao Yuxin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||