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Advances in Evaporation and Evaporative Demand
| Advances in Evaporation and Evaporative Demand |
| Autore | Tegos Aristoteles |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (214 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
actual evapotranspiration
agricultural drought artificial neural network cover crop crop irrigation scheduling and management CWSI drought drought characteristics ERA5-Land data evaporation evaporation paradox evapotranspiration evapotranspiration deficit index evapotranspiration estimation evapotranspiration models faba bean forest fires GK2A/AMI global dimming groundwater Hurst-Kolmogorov dynamics hydrological calibration infrared radiometer sensors interception Korean Peninsula linear storage model local long-range dependence lysimeters machine learning Mann-Kendall marginal structure micrometeorological data n/a observed data parameter sensitivity parametric model potential evapotranspiration precipitation R language RASPOTION real-time data analysis reference evapotranspiration regression remote sensing spatial spatial IRT measurements stochastic simulation subhumid climate temporal scale sensitivity trend analysis UAV urban rain gardens water balance water reservoir water stress anomaly wind stilling |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879303321 |
Tegos Aristoteles
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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 online resource (404 p.) |
| Soggetto topico | Geography |
| Soggetto non controllato |
Cunninghamia
3D reconstruction aboveground biomass aerosol aerosol retrieval albedometer algorithmic assessment AMSR2 anisotropic reflectance Antarctica arid/semiarid AVHRR BEPS biodiversity black-sky albedo (BSA) boreal forest BRDF canopy reflectance China Chinese fir cloud fraction CMA composite slope comprehensive field experiment controlling factors copper cost-efficient crop-growing regions daily average value decision tree dense forest disturbance index downscaling downward shortwave radiation drought end of growing season (EOS) evapotranspiration EVI2 fluorescence quantum efficiency in dark-adapted conditions (FQE) flux measurements forest canopy height forest disturbance fractional vegetation cover (FVC) Fraunhofer Line Discrimination (FLD) FY-3C/MERSI FY-3C/MWRI gap fraction geographical detector model geometric optical radiative transfer (GORT) model geometric-optical model geostationary satellite GF-1 WFV GLASS GLASS LAI time series GPP gradient boosting regression tree gross primary production (GPP) gross primary productivity (GPP) heterogeneity high resolution high-resolution freeze/thaw HiWATER HJ-1 CCD homogeneous and pure pixel filter humidity profiles hybrid method ICESat GLAS inter-annual variation interference filter interpolation LAI land cover change land surface albedo Land surface emissivity land surface temperature Land surface temperature land surface variables land-surface temperature products (LSTs) Landsat latent heat latitudinal pattern leaf leaf age leaf area density leaf area index leaf spectral properties LiDAR light use efficiency longwave upwelling radiation (LWUP) LUT method machine learning machine learning algorithms maize MCD43A3 C6 meteorological factors metric comparison metric integration MODIS MODIS products MRT-based model MS-PT algorithm multi-data set multi-scale validation multiple ecological factors multisource data fusion MuSyQ-GPP algorithm n/a NDVI NIR Northeast China northern China NPP observations passive microwave phenological parameters phenology photoelectric detector pixel unmixing plant functional type point cloud polar orbiting satellite potential evapotranspiration precipitation probability density function PROSPECT PROSPECT-5B+SAILH (PROSAIL) model quantitative remote sensing inversion RADARSAT-2 random forest model reflectance model remote sensing rice rugged terrain sampling design satellite observations scale effects SCOPE SIF sinusoidal method snow cover snow-free albedo solar-induced chlorophyll fluorescence solo slope South China's spatial heterogeneity spatial representativeness spatial-temporal variations spatio-temporal spatiotemporal distribution and variation spatiotemporal representative species richness spectra spectral SPI standard error of the mean start of growing season (SOS) statistics methods subpixel information sunphotometer surface radiation budget surface solar irradiance SURFRAD Synthetic Aperture Radar (SAR) temperature profiles terrestrial LiDAR thermal radiation directionality Tibetan Plateau TMI data topographic effects tree canopy uncertainty urban scale validation variability vegetation dust-retention vegetation phenology vegetation remote sensing vertical structure vertical vegetation stratification Visible Infrared Imaging Radiometer Suite (VIIRS) voxel VPM ZY-3 MUX |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664103321 |
|
Shi Jiancheng
|
||
| 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 online resource (404 p.) |
| Soggetto topico | Geography |
| Soggetto non controllato |
Cunninghamia
3D reconstruction aboveground biomass aerosol aerosol retrieval albedometer algorithmic assessment AMSR2 anisotropic reflectance Antarctica arid/semiarid AVHRR BEPS biodiversity black-sky albedo (BSA) boreal forest BRDF canopy reflectance China Chinese fir cloud fraction CMA composite slope comprehensive field experiment controlling factors copper cost-efficient crop-growing regions daily average value decision tree dense forest disturbance index downscaling downward shortwave radiation drought end of growing season (EOS) evapotranspiration EVI2 fluorescence quantum efficiency in dark-adapted conditions (FQE) flux measurements forest canopy height forest disturbance fractional vegetation cover (FVC) Fraunhofer Line Discrimination (FLD) FY-3C/MERSI FY-3C/MWRI gap fraction geographical detector model geometric optical radiative transfer (GORT) model geometric-optical model geostationary satellite GF-1 WFV GLASS GLASS LAI time series GPP gradient boosting regression tree gross primary production (GPP) gross primary productivity (GPP) heterogeneity high resolution high-resolution freeze/thaw HiWATER HJ-1 CCD homogeneous and pure pixel filter humidity profiles hybrid method ICESat GLAS inter-annual variation interference filter interpolation LAI land cover change land surface albedo Land surface emissivity land surface temperature Land surface temperature land surface variables land-surface temperature products (LSTs) Landsat latent heat latitudinal pattern leaf leaf age leaf area density leaf area index leaf spectral properties LiDAR light use efficiency longwave upwelling radiation (LWUP) LUT method machine learning machine learning algorithms maize MCD43A3 C6 meteorological factors metric comparison metric integration MODIS MODIS products MRT-based model MS-PT algorithm multi-data set multi-scale validation multiple ecological factors multisource data fusion MuSyQ-GPP algorithm n/a NDVI NIR Northeast China northern China NPP observations passive microwave phenological parameters phenology photoelectric detector pixel unmixing plant functional type point cloud polar orbiting satellite potential evapotranspiration precipitation probability density function PROSPECT PROSPECT-5B+SAILH (PROSAIL) model quantitative remote sensing inversion RADARSAT-2 random forest model reflectance model remote sensing rice rugged terrain sampling design satellite observations scale effects SCOPE SIF sinusoidal method snow cover snow-free albedo solar-induced chlorophyll fluorescence solo slope South China's spatial heterogeneity spatial representativeness spatial-temporal variations spatio-temporal spatiotemporal distribution and variation spatiotemporal representative species richness spectra spectral SPI standard error of the mean start of growing season (SOS) statistics methods subpixel information sunphotometer surface radiation budget surface solar irradiance SURFRAD Synthetic Aperture Radar (SAR) temperature profiles terrestrial LiDAR thermal radiation directionality Tibetan Plateau TMI data topographic effects tree canopy uncertainty urban scale validation variability vegetation dust-retention vegetation phenology vegetation remote sensing vertical structure vertical vegetation stratification Visible Infrared Imaging Radiometer Suite (VIIRS) voxel VPM ZY-3 MUX |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346664203321 |
|
Shi Jiancheng
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||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia / Hao Wang, Xianyong Meng
| Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia / Hao Wang, Xianyong Meng |
| Autore | Wang Hao |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (384 p.) |
| Soggetto topico | Geography |
| 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 |
9783039212361
3039212362 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346839103321 |
|
Wang Hao
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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