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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 |
Shi Jiancheng
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Shi Jiancheng
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||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Dynamics of the Global Savanna and Grassland Biomes
| Dynamics of the Global Savanna and Grassland Biomes |
| Autore | Southworth Jane |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (102 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
climate change
SAVANNA simulation scenarios livestock rangeland productivity CO2 effects remote sensing vegetation dynamics savanna landscapes national parks conservation temperate meadow steppe grassland degradation biomass vegetation community characteristics enclosure restoration management policy options neotropical savannas woody conversion support vector machine classification land cover change protected areas Payne's Creek National Park endemism floristics nomadic yaks culture altitude watersheds rivers biodiversity grassland management land degradation rodents policy interventions |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557718503321 |
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Southworth Jane
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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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Land Use and Land Cover Mapping in a Changing World
| Land Use and Land Cover Mapping in a Changing World |
| Autore | Pulighe Giuseppe |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (270 p.) |
| Soggetto topico | Environmental monitoring |
| Soggetto non controllato |
savannah
multifunctionality protected areas conservation airborne laser scanning aboveground woody biomass CORINE land cover mapping of changes GIS tools land cover flows Low Tatras National Park land use and land cover ecosystem service value Google Earth Engine (GEE) forest fragmentation transboundary landscape Himalaya land-cover change MSPA cluster analysis land use management synthesis of land use/land cover definitions meta-analysis studies in land use/land cover challenges and knowledge gaps in land use/land cover assessments literature review land use change modeling scenario deforestation DINAMICA EGO PFBC landscapes Democratic Republic of the Congo tree diversity ecosystem resilience native tree urban environment urbanization land cover land use change mapping land use pressures energy production forestry caatinga domain digital classification remote sensing land consumption land re-naturalization developed land recycling urban land use efficiency interoperability standards geospatial semantic ontology harmonization classification urban growth land cover change driving forces |
| ISBN | 3-0365-6107-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639999603321 |
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Pulighe Giuseppe
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images . Volume 2
| Learning to Understand Remote Sensing Images . Volume 2 |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 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 | 3-03897-699-7 |
| 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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||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Learning to Understand Remote Sensing Images . Volume 1
| Learning to Understand Remote Sensing Images . Volume 1 |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 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 | 3-03897-685-7 |
| 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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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modeling of Soil Erosion and Sediment Transport
| Modeling of Soil Erosion and Sediment Transport |
| Autore | Hrissanthou Vlassios |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (298 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
terrace
vegetation time-area method MUSLE soil and water loss the Loess Plateau bed erosion catchment area filtration sediment accumulation sediment bed fluidization sediment re-suspension soil erosion rainfall-runoff sediment yield AnnAGNPS model urbanization scenario analysis Upper Indus Basin (UIB) Tarbela Reservoir Besham Qila sediment modeling uncertainty wavelet transform analysis-artificial neural network (WA-ANN) sediment rating curve (SRC) HEC-RAS SWAT TUSLE sediment transport model calibration mountainous catchment tailings pond leaked tailings flow dam failure impact force deposition range debris blocking dam CORINE erosion model ponds Brenne limnology land cover change infiltration estimation black soil residue cover model validation stream sediment transport total load sediment concentration Yang formula fuzzy regression fuzzy coefficients fuzzy logic sediment entrainment clogging colmation numerical modeling gully erosion seasonality precipitation statistical modeling precipitation intensity sediment budget rainfall event EROSION-3D small water reservoir SWAT modeling land management soil conservation stone structures WRF-Hydro CASC2D-SED Goodwin Creek Experimental Watershed NLDAS-2 calibration |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557729403321 |
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Hrissanthou Vlassios
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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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Remote Sensing of the Terrestrial Hydrologic Cycle
| Remote Sensing of the Terrestrial Hydrologic Cycle |
| Autore | Tang Qiuhong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (260 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
hydrological cycle
Three-North region climate change land cover change Variable Infiltration Capacity (VIC) model evapotranspiration runoff soil moisture three-temperature model infrared remote sensing urban hedges cooling effects irrigation mapping remote sensing random forest subhumid region dry-wet regime vegetation dynamics GLDAS GIMMS Yarlung Zangbo River Microwave emissivity difference vegetation index (EDVI) evapotranspiration (ET) satellite remote sensing cloudy sky clouds and earth's radiation energy system (CERES) ChinaFLUX precipitation classification K-nearest neighbor Doppler radar Tropical Precipitation Measurement Mission (TRMM) irrigation signal SMAP irrigation intensity winter wheat precipitation evaluation error analysis Fengyun quantitative precipitation estimates GPM IMERG deep learning Daihai Lake Huangqihai Lake lake degradation weather radar quantitative precipitation estimation rain gauge radar-rain gauge merging leave-one-out cross validation verification China exorheic catchments water balance GRACE terrestrial water storage changes reservoir storage MODIS SRTM |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557581803321 |
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Tang Qiuhong
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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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Soil Water Erosion
| Soil Water Erosion |
| Autore | Centeri Csaba |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (294 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
gully head-cuts
machine learning modeling soil erosion Iran R-factor USLE rainfall intensity modeling radar climatology RADKLIM rain gauge sediment flux total soil loss watershed characteristics PCA analysis RUSLE (Revised Universal Soil Loss Equation) WaTEM/SEDEM Czech Republic residential areas loess meltwater flow runoff and sediment yield hydraulic parameter comparability infiltration rainfall simulation runoff RUSLE land cover change armed conflict Northern Al-Kabeer river Syria freeze-thaw cycles loamy soil soil property soil detachment capacity Loess Plateau badlands morphological changes land use change Emilia Apennines (Northern Italy) multiple-tracer experiments precipitation amounts preferential flow solute transport protection forest irrigation sediment overland flow soil loss watershed sediment connectivity connection mode connection degree land management gully geometry dynamic erosion model stable gully area-slope approach field measurement water erosion model event scale sediment yield Chenab river remote sensing GIS |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557609403321 |
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Centeri Csaba
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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