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ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications
| ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications |
| Autore | Tadono Takeo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
Sentinel-1
ALOS/PALSAR-2 land subsidence accuracy assessment Alexandria City Egypt local climate zone random forest feature importance land surface temperature grid cells Sentinel-2 PALSAR-2 ASTER soil moisture ALOS-2 GA-BP water cloud model L-band SAR backscattering soil moisture content LAI HH and HV polarization flood NoBADI Florida Hurricane Irma synthetic aperture radar polarimetric radar co-polarized phase difference radar scattering vegetation radar applications agriculture leaf area index leave-one-out cross-validation oil palm radar vegetation index vegetation descriptors ecosystem carbon cycle L-band SAR vegetation index random forest regression plantation permafrost InSAR Qinghai-Tibet Plateau ALOS thermal melting collapse Sentinel-1A SBAS-InSAR heavy forest area potential landslide identification SAR-based landslide detection Growing Split-Based Approach (GSBA) Hokkaido landslide Putanpunas landslide SAR polarimetry model-free 3-component decomposition for full polarimetric data (MF3CF) radar polarimetry calibration Faraday rotation |
| ISBN | 3-0365-6105-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639994803321 |
Tadono Takeo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
| Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia |
| Autore | Meng Xianyong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (384 p.) |
| Soggetto non controllato |
sensitivity analysis
non-point source pollution models reservoirs operation rule East Asia climate variability Qinghai-Tibet Plateau (TP) potential evapotranspiration precipitation capacity distribution GLUE soil temperature land use change JBR CFSR Jinsha River Basin impact runoff CMADS hydrological modeling aggregated reservoir reanalysis products Lijiang River spatio-temporal uncertainty total nitrogen Han River streamflow simulation meteorological CMADS-ST Erhai Lake Basin uncertainty analysis Biliuhe reservoir hydrological bayesian model averaging blue and green water flows SUFI-2 TMPA-3B42V7 statistical analysis satellite-derived rainfall streamflow satellite-based products Xiang River basin SWAT hydrological simulation PERSIANN-CDR hydrological processes SUFI2 CMADS dataset ParaSol hydrological modelling accumulation meteorological input uncertainty soil moisture content Yellow River SWAT Noah LSM-HMS sediment yield Yalong River TRMM Penman-Monteith IMERG PERSIANN hydrological elements freeze–thaw period land-use change parameter sensitivity China reservoir parameters soil moisture sloping black soil farmland hydrological model SWAT model hydrologic model |
| ISBN | 3-03921-236-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model |
| Record Nr. | UNINA-9910346839103321 |
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Meng Xianyong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovations in Photogrammetry and Remote Sensing : Modern Sensors, New Processing Strategies and Frontiers in Applications
| Innovations in Photogrammetry and Remote Sensing : Modern Sensors, New Processing Strategies and Frontiers in Applications |
| Autore | Pirotti Francesco |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (216 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
VHR tri-stereo satellite imagery
digital elevation model isolated objects dense image matching change detection natural disasters deep learning threshold selection optical flow estimation Structure from Motion (SfM) 3D reconstruction noise estimation point clouds roughness surface reconstruction mesh model visibility constraints volumetric methods dense point cloud multiple view stereo (MVS) dense image matching (DIM) photogrammetry computer vision Copernicus Sentinel-1 Sentinel-2 InSAR damage proxy map Beirut Lebanon explosion radiometric calibration modeling geometric error high-precision calibration preprocessing enhancement point cloud image processing image histogram UAV camera calibration GNSS-assisted block orientation dome effect Monte Carlo simulation soil moisture content artificial neural network sample optimization synthetic aperture radar optical remote sensing image |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Innovations in Photogrammetry and Remote Sensing |
| Record Nr. | UNINA-9910576883503321 |
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Pirotti Francesco
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Microwave Indices from Active and Passive Sensors for Remote Sensing Applications
| Microwave Indices from Active and Passive Sensors for Remote Sensing Applications |
| Autore | Santi Emanuele |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (224 p.) |
| Soggetto non controllato |
time series analysis
passive microwave soil moisture Sentinel-1 and Sentinel-2 Snow Depth and Snow Water Equivalent snow cover characteristics vegetation biomass roughness sea ice SMOS microwave radiometry soil moisture downscaling Vegetation Biomass vegetation index Terra MODIS Sentinel-1 Microwave Indices soil moisture content dual-frequency ratios SMAP passive microwave water-cloud model snow Sentinel-1 backscatter AMSR2 data fusion microwaves mountain region SAR start of season crops NDVI scatterometer Radarsat-2 polarization vegetation water content co-pol ratio active microwaves microwave indices harvest Microwave Radiometry soil moisture Soil Moisture Content snow correlation length radiometer radar soil scattering vegetation descriptor scale gap snow water equivalent |
| ISBN | 3-03897-821-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367751603321 |
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Santi Emanuele
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensors Application in Agriculture
| Sensors Application in Agriculture |
| Autore | Paraforos Dimitrios S |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (228 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
| Soggetto non controllato |
precision farming
sensor fusion remote sensing fluorescence reflectance spectrometry nitrogen fertilisation wheat yield Drainage Pipe Mapping Ground Penetrating Radar (GPR) Real-Time Kinematic Global Navigation Satellite System (RTK/GNSS) dynamic vapor sorption high-precision dryer modeling water vapor pressure deficit autonomous robot agriculture viticulture electric weeder sonar intra-row under-vine row following date palms precision agriculture plantation management thermal hyperspectral Data-driven agriculture ISOBUS Rear hitch position Wheel-based machine speed IR imaging canopy temperature maximum temperature difference fungal infection wheat genotypes calibration function capacitive soil moisture sensor internet-based data acquisition soil moisture content infrared thermography IRT tree inspection inspection techniques tree monitoring food security food system digitalization human security Internet of things sustainable Barents region trees inspection trees monitoring VTA sustainability drift risk assessment tool sedimenting spray drift airborne spray drift weather conditions spray drift reduction rotary harrow secondary tillage soil erosion RFID CRNS neutron cosmic-ray soil moisture water agricultural sensors agricultural engineering digital farming embedded sensors ISO 11783 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557108803321 |
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Paraforos Dimitrios S
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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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