ALBERT

Schlagwort(e): QA75.5-76.95 ; TK1-9971 ; Q1-390 ; thema EDItEUR::U Computing and Information Technology::UY Computer science

Schlagwort(e): TD172-193.5 ; GE1-350 ; Q1-390 ; greenhouse gases ; collaborative filtering ; Euclid approach degree method ; hierarchical linear model ; pollution ; adaptive clustering analysis ; evolutionary game ; fuzzy comprehensive evaluation ; spatial and temporal difference ; livestock ; AQI ; rough set ; air pollutant ; fuzzy optimization model ; air quality ; Beijing-Tianjin-Hebei region ; functional ANOVA ; environmental supervision ; environmental governance ; primary pollutants ; emission inventory ; N) model ; Beijing ; sustainable development ; PM2.5 concentrations ; environmental target-setting ; entropy weight method ; comprehensive pollution index analysis ; attribute reduction ; functional principal component analysis ; AQI indicators ; Jiangsu province ; vehicle ; haze ; air quality evaluation standards ; China ; interval grey number ; PM2.5 ; carbon emissions ; linear time-varying GM(1 ; forecasting ; grey correlation analysis ; measurement and environment ; performance ; whistleblowing ; relevance analysis ; PSR Model ; wind power development ; air pollution ; spatial and temporal distribution characteristics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQK Pollution control

Schlagwort(e): G1-922 ; Q1-390 ; gamma diversity ; tree species ; Climatic change ; individual species-area relationship ; woody species ; TILD ; trees ; Pseudotsuga menziesii ; windthrow ; precipitation ; species conservation ; spatial analysis ; codispersion analysis ; variation partitioning ; herbaceous perennial species ; northern hardwood forests ; climate change ; stand development ; potential habitats ; Smithsonian ForestGEO ; tree regeneration ; forest conversion ; Biodiversity Exploratories ; trunk breakage ; topography ; questionnaire survey ; mid-domain effect ; assemblage lineage diversity ; Salicaceae ; salvaging ; temperate forests ; Shannon diversity ; USDA Forest Service ; tree species diversity ; Bray-Curtis ; species-area relationship ; Ericaceae ; legacies ; Picea abies ; herbaceous layer ; spatial patterns ; mountains ; United States ; wind damage ; abundance ; Hubbard Brook ; elevational shifts ; uprooting ; species diversity ; evolutionary diversity ; Pinus sylvestris ; natural disturbance-based silviculture ; Vietnam ; diversity ; Maxent ; human footprint ; productivity ; China ; microarthropod ; phylogenetic diversity ; temperature ; household respondents ; succession ; biodiversity ; tornado ; salvage logging ; excess nitrogen ; climate ; forest management ; understory plant communities ; Simpson diversity ; species richness ; landscape scale ; structural complexity ; tropical evergreen mixed forest ; seasonal variations ; disturbance severity ; competition and facilitation ; canopy structure ; Fagus sylvatica ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography

Schlagwort(e): G1-922 ; Q1-390 ; nitrogen nutrition index ; n/a ; soil organic carbon ; yield estimation ; hyperspectral sensor ; crop modeling ; crop residue management ; land use change ; flat-fan atomizer ; vegetation index ; septoria tritici blotch ; crop simulation model ; temporal variability ; spectral-weight variations in fused images ; plant ; EPIC model ; large cardamom ; crop inventory ; proximal sensing ; sorghum biomass ; soil ; UAV ; Integrated Administration and Control System ; canopy temperature depression ; fractional cover ; Cropsim-CERES Wheat ; hyperspectral data ; yield ; wheat ; precision farming ; SPAD ; AquaCrop ; prediction modeling ; spectral simulation ; leaf nitrogen concentration ; machine learning ; crop production ; protein content ; Á Trous algorithm ; spatial variability ; variable rate technology ; crop type mapping ; Tarim Basin ; leaf area index ; management zone ; irrigation ; multi-spectral ; agricultural land-cover ; crop modelling ; dynamic model ; satellite images ; climate change ; control variables ; generalized model ; Sentinel-2 satellite imagery ; vegetation indices ; vegetable monitoring ; Sentinel-2 ; remote sensing ; cultivars ; crop growth model ; yield monitoring ; big data technology ; conservation agriculture ; GIS ; fAPAR ; droplet drift ; simulation analysis ; durum wheat ; hydroponic ; grain yield ; Leaf Area Index ; NDVI ; precision agriculture ; relative frequencies ; soil stoichiometry ; habitat assessment ; data assimilation ; satellite ; species modelling ; ?13C ; disease ; nitrogen ; yield mapping ; UAV chemical application ; RGB images ; decision support system for agrotechnology transfer (DSSAT) ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography

Schlagwort(e): QC851-999 ; Q1-390 ; stomatal conductance ; mechanical thinning ; predawn water potential ; modeling ; CIRG ; adaptation ; EURO-CORDEX ; vineyards ; Portugal ; yield formation ; photosynthesis ; Douro wine region ; rootstock ; autochthonous cultivar ; plant architecture ; climatic influence ; multi-temporal analysis ; intercellular CO2 ; winemaking ; leaf water potential ; micrometeorology ; Touriga Franca ; dry mass partitioning ; ’Uva Rey’ ; crop water stress index ; global warming ; adaptation measures ; kaolin ; wine ; natural hail ; rate of anthocyanin accumulation ; grape berry tissues ; water status ; temperature ; low-input ; Vitis vinifera L. ; photosynthetic pigments ; S-ABA ; unmanned aerial vehicles ; climate ; water limitation ; elevated CO2 ; spatial variability ; bioactive compounds ; FACE ; Touriga Nacional ; grapevine ; PRI ; general circulation model ; Vitis vinifera ; berry composition ; sensory analysis ; B. cinerea mold ; crop model ; vigour maps ; irrigation ; precision viticulture ; phenology modelling platform ; SO2 pads ; RCP4.5 ; climate change ; viticultural training system ; crop management ; microclimate ; Virtual Riesling ; light micro-climates ; remote sensing ; grape ; pulse amplitude modulated (PAM) fluorometry ; modelling ; mitigation strategies ; normalized difference vegetation index ; crop surface model ; plant material ; grape quality ; parasitoid ; production system ; Botrytis cinerea ; technological and phenolic ripeness ; training system ; WI ; phenological model ; phenolics ; table grapes ; Vitis vinifera (L.) ; phenology ; assimilation ; grapevine pest ; drought ; viticulture ; physiological processes ; mealybug ; leaf area ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology

Schlagwort(e): QC851-999 ; Q1-390 ; 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 ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology

Schlagwort(e): G1-922 ; Q1-390 ; 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 ; 〈i〉Cunninghamia〈/i〉 ; 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 ; n/a ; 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 ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography

Schlagwort(e): G1-922 ; Q1-390 ; 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 ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography

Schlagwort(e): QH301-705.5 ; Q1-390 ; DNMTs ; n/a ; histone modification ; TBRS ; DNA methyltransferases ; autoinhibition ; epigenetics ; DNMT ; cell identity ; embryogenesis ; dwarfism ; DNMT3B ; germ cells ; HSAN1E ; USP7 ; DNMT3A ; DNA methyltransferase ; gene expression ; DNMT1 ; de novo DNA methylation ; DNA methyltransferase structure ; UHRF1 ; DNA methyltransferase mechanism ; allosteric regulation ; rare diseases ; DNA Methylation ; maintenance DNA methylation ; DNA methylation ; ADCA-DN ; PCC/PGL ; ubiquitination ; TETs ; DNA methyltransferase function ; molecular epigenetics ; DNA methyltransferase regulation ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences

Schlagwort(e): QD1-999 ; Q1-390 ; glucose-6-phosphate dehydrogenase ; hydroxyurea/hydroxycarbamide ; n/a ; cord blood ; screening ; hemoglobin pattern ; capillary electrophoresis ; sickle cell disease ; (recommended) screening panel ; vaso-occlusive crisis ; Guthrie spots ; newborn screening) ; foetal haemoglobin ; harmonisation ; review ; birth prevalence ; G6PD deficiency ; prevention ; end-organ damage ; thalassemia ; MALDI-TOF ; IEF ; acute chest syndrome ; India ; sickle cell and thalassaemia screening programme ; ‘Getting to Outcomes’ ; newborn screening ; hemoglobinopathy ; service users ; public health engagement ; automated HPLC ; Kaduna State ; gene therapy for haemoglobinopathies ; ?-globin gene ; methods ; neonatal screening program ; malaria ; Plasmodium vivax ; sub-Saharan Africa ; patient organisations ; health policy ; pathophysiology ; Sickle Cell Disease ; mass spectrometry ; sickle cell disorder ; neonatal screening ; non-tribal ; Nigeria ; point-of-care ; HPLC ; laboratory methods ; registry ; patient advocacy ; bone marrow transplant ; anaemia ; hemoglobinopathies ; tribal ; newborn ; burden of disease ; patient representatives ; diagnostics ; policy making ; haemolysis ; Caribbean ; high performance liquid chromatography (HPLC) ; sickle cell disease (SCD) ; implementation science ; thema EDItEUR::P Mathematics and Science::PN Chemistry