Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications |
Autore | Ruston Benjamin |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (262 pages) |
Soggetto non controllato |
direct and inverse methods
absorption coefficient emissivity land-surface model variational retrieval temporal autocorrelation Bayesian bias correction hyperspectral infrared BRDF satellite rainfall MCD43C1 penetration depth RTTOV earth-observations earth system modelling representative depth land Changjiang (Yangtze) estuary CDOM soil moisture surface Maqu network surface soil moisture MODIS soil effective temperature GOCI microwave remote sensing rain gauge QAA inversion broadband emissivity radiation surface parameters satellite data East Africa |
ISBN | 3-03921-065-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367566003321 |
Ruston Benjamin | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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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 | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Remote Sensing in Hydrology and Water Resources Management |
Autore | Duan Weili |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (487 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
precipitation datasets
evaluation spatial scale temporal scale climate Yellow River Basin data assimilation WRF WRFDA 3DVar water levels surface areas volume variations hypsometry bathymetry lakes reservoirs remote sensing DAHITI modified strahler approach airborne LiDAR DEM flood inundation flood map flood model LiDAR terrestrial LiDAR evapotranspiration variability uncertainty unmanned aerial system sUAS multispectral viticulture water resources management California lake Tibetan Plateau hydrological changes water balance Chindwin basin hydrological modelling multi-variable calibration satellite-based rainfall product TRMM temporal resolution rainfall erosivity combined approach multi-objective optimization modeling uncertainty model constraint SWAT semiarid area hydrological variations normalized difference vegetation index total water storage change groundwater change extreme precipitation estimation TMPA 3B42-V7 regional frequency analysis China satellite datasets accuracy evaluation hydrological applicability Bosten Lake Basin actual evapotranspiration available water resources climate change vegetation greening VIP-RS model Lancang-Mekong river basin MSWEP AgMERRA APHRODITE CHIRPS PERSIANN error correction agricultural water management crop water consumption remote sensing model evapotranspiration allocation inland water IWCT Tianjin Landsat data Tarim River Basin desert-oasis ecotone land-use change CA-Markov model remote sensing in hydrology precipitation performance evaluation GPM Poyang Lake Yangtze River assimilation nonparametric modeling multi-source landscape pattern spatiotemporal changes influencing factors watershed China SE satellite data LUE-GPP SPEI copula function conditional probability soil moisture neural network downscaling microwave data MODIS data |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557632803321 |
Duan Weili | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Land Surface Phenology |
Autore | Ma Xuanlong |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (276 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
Soggetto non controllato |
climate change
digital camera MODIS Mongolian oak phenology sap flow urbanization plant phenology spatiotemporal patterns structural equation model Google Earth Engine Three-River Headwaters region GPP carbon cycle arctic photosynthesis remote sensing crop sowing date development stage yield gap yield potential process-based model land surface temperature urban heat island effect contribution Hangzhou land surface phenology NDVI spatiotemporal dynamics different drivers random forest model data suitability satellite data spatial scaling effects the Loess Plateau autumn phenology turning point climate changes human activities Qinghai-Tibetan Plateau snow phenology driving factors spatiotemporal variations Northeast China vegetation indexes seasonally dry tropical forest vegetation phenology climatic limitation solar-induced chlorophyll fluorescence enhanced vegetation index gross primary production evapotranspiration water use efficiency NDPI Qilian Mountains snow cover high elevation soil moisture vegetation dynamics carbon exchange |
ISBN | 3-0365-5326-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910619465703321 |
Ma Xuanlong | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Statistical Analysis and Stochastic Modelling of Hydrological Extremes |
Autore | Tabari Hossein |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (294 p.) |
Soggetto non controllato |
artificial neural network
downscaling innovative methods reservoir inflow forecasting simulation extreme events climate variability sparse monitoring network weighted mean analogue sampling errors precipitation drought indices discrete wavelet SWSI hyetograph trends climate change SIAP Kabul river basin Hurst exponent extreme rainfall evolutionary strategy the Cauca River hydrological drought global warming least square support vector regression polynomial normal transform TRMM satellite data Fiji heavy storm flood regime compound events random forest uncertainty seasonal climate forecast INDC pledge Pakistan wavelet artificial neural network HBV model temperature APCC Multi-Model Ensemble meteorological drought flow regime high resolution rainfall clausius-clapeyron scaling statistical downscaling ENSO forecasting variation analogue machine learning extreme rainfall analysis hydrological extremes multivariate modeling monsoon non-stationary support vector machine ANN model stretched Gaussian distribution drought prediction non-normality statistical analysis extreme precipitation exposure drought analysis extreme value theory streamflow flood management |
ISBN | 3-03921-665-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367749703321 |
Tabari Hossein | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Towards Excellence in Engineering Education |
Autore | Ouahada Khmaies |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (174 p.) |
Soggetto non controllato |
high school
education active methodology spatial visualization improving classroom teaching faculty evaluation feedback curriculum development active learning outcomes learning activity critical pedagogy module engineering sustainability teaching/learning strategies PDF-3D self-reflection GIS crystal system chemical education systems engineering survey satellite data engineering education research viscometer anti-deficit approach ternary phase diagrams engineering education service-learning design CDIO professionalization re-thinking the teaching didactic virtual resources open source software didactic virtual tools reverse engineering underrepresented minorities critical theoretical frameworks pass rate hidden curriculum role-play simulations STEM Green Engineering inductive methods moderation mixed-methods project-based learning learning tool spatial abilities engineering curriculum Bravais lattices |
ISBN | 3-03921-252-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367737503321 |
Ouahada Khmaies | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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