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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 online resource (498 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
ACOLITE
ADG/CDOM colored dissolved organic matter aerial drone along-track interferometric synthetic aperture radar (ATI-SAR) Arctic Ocean Ariake Sea atmospheric correction azimuth ambiguity backscattering band registration baseline-to-platform speed ratio estimation bathymetry inversion black pixel assumption Black Sea C2RCC Chattonella spp chlorophyll-a variability climate change impact coastal flooding coastal geomorphology coastal ocean coastal processes coastal upwelling coastal urban centers coastal waters Copernicus programme current line-of-sight (LOS) velocity diffuse attenuation coefficient empirical orthogonal function frontal zones GNSS GOCI harmful algal blooms HF marine radars high frequency radar hurricanes image augmentation in situ measurements Inner Sea of Chiloé internal waves land subsidence Landsat-8 OLI lidar management marine storms Mediterranean sea Mekong Delta Micasense Rededge-M model data MODIS MODIS-Aqua morphological registration multi-scale monitoring multi-temporal approach multi-temporal SAR interferometry multispectral camera MUR SST Mzymta River natural hazards natural protected areas neural networks northern Patagonia ocean color ocean color data ocean surface circulation ocean tidal backwater ocean tide model Pearl River estuary physics-based inversion method phytoplankton remote sensing Puerto Rico radon transform red tides relative sea level change remote sensing river discharge river plume S-EOF satellite satellite altimetry satellite altimetry data satellite remote sensing satellite-derived bathymetry sea waves sea-surface height sediment transport self-organizing map Sentinel 3 Sentinel-2 Sentinel-2 MSI Skeletonema spp small river plume southwestern Puerto Rico spatial-temporal distribution spring-neap tides SST fronts stage-discharge relation steric-effect storm surge suspended particulate matter suspended sediment synoptic characteristics time-series total suspended sediment turbid waters turbidity Typhoon Soudelor VIIRS water quality wave energy wave radar wind forcing |
| 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 | ||
| ||