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Adaptive Catchment Management and Reservoir Operation / Guangtao Fu, Guangheng Ni, Chi Zhang
| Adaptive Catchment Management and Reservoir Operation / Guangtao Fu, Guangheng Ni, Chi Zhang |
| Autore | Fu Guangtao |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
| Descrizione fisica | 1 electronic resource (498 p.) |
| Soggetto non controllato |
downscaling
suspended sediment concentration modeling South-to-North Water Transfer Project sensitivity analysis simulation protection zone reservoirs mussel sediment regime resilience and robustness optimal flood control operation multi-objective model optimization scenario analysis floodplain vertical shape index aftereffect lentic habitats energy stochastic linear programming ?-constrained method Tekeze basin runoff cascade reservoirs costs and benefits sediment flushing efficiency vulnerability Heihe River Basin TB-MPC heating impact flushing efficiency system dynamics Indian Monsoon shaft spillway pipe integrated supply system modeling seasonal rainfall sediment management design and operation of the multipurpose reservoir Kappa distribution CO2 reliability uncertainty Yangtze River Markov chain the Yangtze River Environmental Fluid Dynamics Code (EFDC) model land and water resources integrated surface water-groundwater model Heilongjiang Kurobe River flow regime numerical simulation long distance water diversion tropical reservoir multi-stage stochastic optimization direct policy search inverted siphon environmental flow parameterization accompanying progressive optimality algorithm integrated management hydropower stations differential evolution algorithm sediment flushing of empty storage back propagation neural network NSGA-II two-dimensional bed evolution model real-time control upper Chao Phraya River Basin CMIP5 genetic algorithm dam irrigation CMIP3 water energy discharge the Jingjiang River Reach water environmental capacity (WEC) climate change shortage ratio: Vulnerability optimal scheduling hydrology Siemianówka ungauged basin game theory power function SWAT Dokan Dam natural flow regime bitterling reservoir flushing vertical profiles of concentration ratio curve partial gauged basin sediment load adaptive management water deficit the upper Yangtze River Basin Miyun Reservoir parameter relation stochastic dynamic programming NPP runoff response Narew River coupling model Langcang-Mekong River drinking water resources the Huangshi Reservoir reverse regulation nutrient uptake water resources allocation multi-agent of river basin HEC-ResPRM dynamic programming with progressive optimality algorithm (DP-POA) reservoir operation sea surface temperatures reservoir simulation model SWAT model El Niño/Southern Oscillation CORDEX-Africa hedging policy multi-objective optimization NSGA II reservoir general regression neural network flood control Jingjiang River Reach catchment modelling |
| ISBN |
9783038977391
303897739X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346678403321 |
Fu Guangtao
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| Basel, Switzerland : , : MDPI, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li . Volume 1 |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (404 p.) |
| Soggetto non controllato |
gross primary production (GPP)
interference filter Visible Infrared Imaging Radiometer Suite (VIIRS) cost-efficient precipitation topographic effects land surface temperature Land surface emissivity scale effects spatial-temporal variations statistics methods inter-annual variation spatial representativeness FY-3C/MERSI sunphotometer PROSPECT passive microwave flux measurements urban scale vegetation dust-retention multiple ecological factors leaf age standard error of the mean LUT method spectra SURFRAD Land surface temperature aboveground biomass uncertainty land surface variables copper Northeast China forest disturbance end of growing season (EOS) random forest model probability density function downward shortwave radiation machine learning MODIS products composite slope daily average value canopy reflectance spatiotemporal representative light use efficiency hybrid method disturbance index quantitative remote sensing inversion SCOPE GPP South China's anisotropic reflectance vertical structure snow cover land cover change start of growing season (SOS) MS-PT algorithm aerosol pixel unmixing HiWATER algorithmic assessment surface radiation budget latitudinal pattern ICESat GLAS vegetation phenology SIF metric comparison Antarctica spatial heterogeneity comprehensive field experiment reflectance model sinusoidal method NDVI BRDF cloud fraction NPP VPM China dense forest vegetation remote sensing Cunninghamia high resolution geometric-optical model phenology LiDAR ZY-3 MUX point cloud multi-scale validation Fraunhofer Line Discrimination (FLD) rice fractional vegetation cover (FVC) interpolation high-resolution freeze/thaw drought Synthetic Aperture Radar (SAR) controlling factors sampling design downscaling Chinese fir MRT-based model RADARSAT-2 northern China leaf area density potential evapotranspiration black-sky albedo (BSA) decision tree CMA fluorescence quantum efficiency in dark-adapted conditions (FQE) surface solar irradiance validation geographical detector model vertical vegetation stratification spatiotemporal distribution and variation gap fraction phenological parameters spatio-temporal albedometer variability GLASS gross primary productivity (GPP) EVI2 machine learning algorithms latent heat GLASS LAI time series boreal forest leaf maize heterogeneity temperature profiles crop-growing regions satellite observations rugged terrain species richness voxel LAI TMI data GF-1 WFV spectral HJ-1 CCD leaf area index evapotranspiration land-surface temperature products (LSTs) SPI AVHRR Tibetan Plateau snow-free albedo PROSPECT-5B+SAILH (PROSAIL) model MCD43A3 C6 3D reconstruction photoelectric detector multi-data set BEPS aerosol retrieval plant functional type multisource data fusion remote sensing leaf spectral properties solo slope land surface albedo longwave upwelling radiation (LWUP) terrestrial LiDAR AMSR2 geometric optical radiative transfer (GORT) model MuSyQ-GPP algorithm tree canopy FY-3C/MWRI meteorological factors solar-induced chlorophyll fluorescence metric integration observations polar orbiting satellite arid/semiarid homogeneous and pure pixel filter thermal radiation directionality biodiversity gradient boosting regression tree forest canopy height Landsat subpixel information MODIS humidity profiles NIR geostationary satellite |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664203321 |
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Shi Jiancheng
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (404 p.) |
| Soggetto non controllato |
gross primary production (GPP)
interference filter Visible Infrared Imaging Radiometer Suite (VIIRS) cost-efficient precipitation topographic effects land surface temperature Land surface emissivity scale effects spatial-temporal variations statistics methods inter-annual variation spatial representativeness FY-3C/MERSI sunphotometer PROSPECT passive microwave flux measurements urban scale vegetation dust-retention multiple ecological factors leaf age standard error of the mean LUT method spectra SURFRAD Land surface temperature aboveground biomass uncertainty land surface variables copper Northeast China forest disturbance end of growing season (EOS) random forest model probability density function downward shortwave radiation machine learning MODIS products composite slope daily average value canopy reflectance spatiotemporal representative light use efficiency hybrid method disturbance index quantitative remote sensing inversion SCOPE GPP South China's anisotropic reflectance vertical structure snow cover land cover change start of growing season (SOS) MS-PT algorithm aerosol pixel unmixing HiWATER algorithmic assessment surface radiation budget latitudinal pattern ICESat GLAS vegetation phenology SIF metric comparison Antarctica spatial heterogeneity comprehensive field experiment reflectance model sinusoidal method NDVI BRDF cloud fraction NPP VPM China dense forest vegetation remote sensing Cunninghamia high resolution geometric-optical model phenology LiDAR ZY-3 MUX point cloud multi-scale validation Fraunhofer Line Discrimination (FLD) rice fractional vegetation cover (FVC) interpolation high-resolution freeze/thaw drought Synthetic Aperture Radar (SAR) controlling factors sampling design downscaling Chinese fir MRT-based model RADARSAT-2 northern China leaf area density potential evapotranspiration black-sky albedo (BSA) decision tree CMA fluorescence quantum efficiency in dark-adapted conditions (FQE) surface solar irradiance validation geographical detector model vertical vegetation stratification spatiotemporal distribution and variation gap fraction phenological parameters spatio-temporal albedometer variability GLASS gross primary productivity (GPP) EVI2 machine learning algorithms latent heat GLASS LAI time series boreal forest leaf maize heterogeneity temperature profiles crop-growing regions satellite observations rugged terrain species richness voxel LAI TMI data GF-1 WFV spectral HJ-1 CCD leaf area index evapotranspiration land-surface temperature products (LSTs) SPI AVHRR Tibetan Plateau snow-free albedo PROSPECT-5B+SAILH (PROSAIL) model MCD43A3 C6 3D reconstruction photoelectric detector multi-data set BEPS aerosol retrieval plant functional type multisource data fusion remote sensing leaf spectral properties solo slope land surface albedo longwave upwelling radiation (LWUP) terrestrial LiDAR AMSR2 geometric optical radiative transfer (GORT) model MuSyQ-GPP algorithm tree canopy FY-3C/MWRI meteorological factors solar-induced chlorophyll fluorescence metric integration observations polar orbiting satellite arid/semiarid homogeneous and pure pixel filter thermal radiation directionality biodiversity gradient boosting regression tree forest canopy height Landsat subpixel information MODIS humidity profiles NIR geostationary satellite |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664103321 |
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Shi Jiancheng
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Climate variability and change in the 21th Century
| Climate variability and change in the 21th Century |
| Autore | Stefanidis Stefanos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (384 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
California
hydrologic regions warming drought regional climate modeling hydrological modeling bias correction multivariate pseudo reality rainfall trend analysis Mann–Kendall kriging interpolation multiple climate models standardized precipitation index (SPI) droughts weights Vu Gia-Thu Bon climate change optimal control geoengineering climate manipulation GCM RCM CMIP5 CORDEX climate model selection upper Indus basin NDVI ENSO wavelet time series analysis Hluhluwe-iMfolozi Park Google Earth Engine Mediterranean climate cluster analysis objective classification ERA5 mega-fires Bayesian-model averaging model uncertainty climate-fire models Mono River watershed climate temperature heat wave excess heat factor acclimatization Greece precipitations Hurst exponent persistence spatial correlation Caucasian region Regional Climate Model climate classification bias correction methods precipitation terrestrial ecosystems GPP LAI CO2 fertilization effect feedback sassandra watershed Côte d’Ivoire boreal region extreme wind speed wind climate soil frost wind damage risk management wind multiplier downscaling topography surface roughness VIIRS MODIS OLCI RSB SNPP Terra Aqua Sentinel-3A reflective solar bands intersensor comparison intercalibration SNO climate indices climate change and Conakry |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557547603321 |
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Stefanidis Stefanos
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Extreme Floods and Droughts under Future Climate Scenarios
| Extreme Floods and Droughts under Future Climate Scenarios |
| Autore | Markus Momcilo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (174 p.) |
| Soggetto non controllato |
downscaling
floods flood risk Boise River Watershed flooding frequency CMIP5 flood frequency analysis streamflow regulation rules droughts downscaled projections flood inundation maps RCM uncertainty climate change and variability RCP4.5 climate change RCP8.5 frequency estimates water resource systems climate change impacts extreme rainfall catchment based macroscale floodplain model consecutive dry days Canada water quality Copula function return period drought-flood abrupt alternation ensembles continuous simulations extreme hydrologic events hydrological risk assessment uncertainty climate projections Southeast U.S. extreme precipitation EURO-CORDEX projections temporal and spatial evolution HSPF changing of exceedance Northeastern US climate flash flood spatial analog future projections flood hazard future precipitation at urban scale |
| ISBN | 3-03921-899-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367740603321 |
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Markus Momcilo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang |
| Autore | Wang Qi |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
| Descrizione fisica | 1 electronic resource (414 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN |
9783038976851
3038976857 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755603321 |
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Wang Qi
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| Basel, Switzerland : , : MDPI, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang |
| Autore | Wang Qi |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
| Descrizione fisica | 1 electronic resource (363 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN |
9783038976998
3038976997 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755503321 |
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Wang Qi
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| Basel, Switzerland : , : MDPI, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing by Satellite Gravimetry
| Remote Sensing by Satellite Gravimetry |
| Autore | Gruber Thomas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
terrestrial water storage (TWS)
GRACE GLDAS TRMM drought ENSO NAO Turkey Mass balance Ice Sheets Sea-level Rise Antarctica CryoSat-2 GRACE-Follow On GRACE-FO downward continuation spectral methods gravity field recovery GRACE Follow-On orbit configuration synergistic observation mass transport in the Earth system GRACE and GRACE follow-on mission current and future observation concepts and instruments GRACE TWSA groundwater level anomaly downscaling machine learning boosted regression trees glacial sediment ice mass satellite gravimetry Patagonia ice mass change SLR swarm normal equation combination coseismic gravity gradient changes gravity field model GOCE Earth’s gravity field kinematic orbit kinematic baseline time-variable gravity geocenter reference frames self-attraction and loading Level-2 processing time-variable gravity field mass change monitoring next-generation gravity mission temporal gravity field numerical closed-loop simulation satellite mission constellations mass transport gravity field satellite missions GOCE High-Level Processing Facility (HPF), earth gravity field geoid spectral enhancement method (SEM), GPS/leveling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557772303321 |
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Gruber Thomas
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| 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
| 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 |
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Duan Weili
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing Monitoring of Land Surface Temperature (LST)
| Remote Sensing Monitoring of Land Surface Temperature (LST) |
| Autore | Sánchez Juan Manuel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (337 p.) |
| Soggetto topico | Environmental science, engineering & technology |
| Soggetto non controllato |
Land Surface Temperature (LST)
satellite retrievals of LST LST from GOES satellites land surface temperature drones unmanned aerial vehicles thermal remote sensing MODIS Bayesian Maximum Entropy interpolation Himalaya air temperature topography Landsat split window algorithm TIRS thermal Landsat 8 stray light correction split-window algorithm single-channel algorithm AMSR2 annual cycle parameters random forest cloudy sky LST evapotranspiration data fusion field-scale machine-learning physical model Sentinel-2 Sentinel-3 Downscaling thermal infrared disaggregation Copernicus hyperspectral thermal infrared spectral smoothness temperature-emissivity separation sensitivity analysis noise land surface temperature (LST) daytime LST nighttime LST validation land surface emissivity (LSE) single channel algorithm radiative transfer equation mono window algorithm SURFRAD data GK2A split-window method BSRN LST downscaling LSA-SAF Sentinel 2 DEM spatial averaging biases land surface emissivity measurement uncertainties emissivity box method Fourier transform infrared spectrometer portable spectrometer |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Remote Sensing Monitoring of Land Surface Temperature |
| Record Nr. | UNINA-9910557522303321 |
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Sánchez Juan Manuel
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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