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Remote Sensing, ISSN 2072-4292, 2016, Volume 8, Issue 6, p. 501
Separating point clouds into ground and non-ground measurements is an essential step to generate digital terrain models (DTMs) from airborne LiDAR (light... 
Cloth simulation | Ground filtering algorithm | LiDAR point cloud | ground filtering algorithm | TERRAIN | ALGORITHM | cloth simulation | SCANNING POINT CLOUDS | DEM GENERATION | INTERPOLATION | EXTRACTION | REMOTE SENSING | MORPHOLOGICAL FILTER | DTM GENERATION | AREAS
Journal Article
2019, ISBN 9783038972761
Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the... 
gross primary production (GPP) | downscaling | n/a | interference filter | Chinese fir | MRT-based model | RADARSAT-2 | northern China | leaf area density | Visible Infrared Imaging Radiometer Suite (VIIRS) | potential evapotranspiration | cost-efficient | precipitation | black-sky albedo (BSA) | decision tree | topographic effects | CMA | fluorescence quantum efficiency in dark-adapted conditions (FQE) | Land surface emissivity | surface solar irradiance | validation | geographical detector model | scale effects | spatial-temporal variations | statistics methods | vertical vegetation stratification | inter-annual variation | spatial representativeness | FY-3C/MERSI | sunphotometer | PROSPECT | spatiotemporal distribution and variation | passive microwave | Cunninghamia | flux measurements | gap fraction | urban scale | vegetation dust-retention | phenological parameters | multiple ecological factors | leaf age | standard error of the mean | spatio-temporal | LUT method | spectra | albedometer | SURFRAD | Land surface temperature | aboveground biomass | variability | uncertainty | GLASS | gross primary productivity (GPP) | land surface variables | copper | Northeast China | forest disturbance | EVI2 | end of growing season (EOS) | machine learning algorithms | random forest model | latent heat | probability density function | GLASS LAI time series | boreal forest | downward shortwave radiation | leaf | machine learning | MODIS products | maize | composite slope | heterogeneity | temperature profiles | crop-growing regions | satellite observations | rugged terrain | species richness | daily average value | voxel | LAI | canopy reflectance | TMI data | PT algorithm | GF-1 WFV | spatiotemporal representative | light use efficiency | spectral | hybrid method | disturbance index | quantitative remote sensing inversion | SCOPE | GPP | HJ-1 CCD | South China’s | leaf area index | evapotranspiration | land-surface temperature products (LSTs) | SPI | anisotropic reflectance | AVHRR | Tibetan Plateau | snow-free albedo | PROSPECT-5B+SAILH (PROSAIL) model | MCD43A3 C6 | 3D reconstruction | vertical structure | photoelectric detector | snow cover | multi-data set | BEPS | land cover change | start of growing season (SOS) | aerosol retrieval | plant functional type | multisource data fusion | aerosol | pixel unmixing | HiWATER | algorithmic assessment | surface radiation budget | latitudinal pattern | remote sensing | leaf spectral properties | ICESat GLAS | vegetation phenology | SIF | solo slope | metric comparison | Antarctica | spatial heterogeneity | land surface albedo | comprehensive field experiment | longwave upwelling radiation (LWUP) | reflectance model | terrestrial LiDAR | AMSR2 | geometric optical radiative transfer (GORT) model | sinusoidal method | MuSyQ-GPP algorithm | tree canopy | FY-3C/MWRI | meteorological factors | solar-induced chlorophyll fluorescence | NDVI | BRDF | cloud fraction | NPP | metric integration | VPM | China | observations | dense forest | polar orbiting satellite | arid/semiarid | vegetation remote sensing | high resolution | homogeneous and pure pixel filter | thermal radiation directionality | geometric-optical model | biodiversity | gradient boosting regression tree | forest canopy height | phenology | Landsat | LiDAR | ZY-3 MUX | subpixel information | point cloud | multi-scale validation | Fraunhofer Line Discrimination (FLD) | rice | fractional vegetation cover (FVC) | MODIS | interpolation | high-resolution freeze/thaw | humidity profiles | drought | NIR | geostationary satellite | Synthetic Aperture Radar (SAR) | controlling factors | sampling design
eBook
2019, ISBN 9783038972709
Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the... 
gross primary production (GPP) | downscaling | n/a | interference filter | Chinese fir | MRT-based model | RADARSAT-2 | northern China | leaf area density | Visible Infrared Imaging Radiometer Suite (VIIRS) | potential evapotranspiration | cost-efficient | precipitation | black-sky albedo (BSA) | decision tree | topographic effects | CMA | fluorescence quantum efficiency in dark-adapted conditions (FQE) | Land surface emissivity | surface solar irradiance | validation | geographical detector model | scale effects | spatial-temporal variations | statistics methods | vertical vegetation stratification | inter-annual variation | spatial representativeness | FY-3C/MERSI | sunphotometer | PROSPECT | spatiotemporal distribution and variation | passive microwave | Cunninghamia | flux measurements | gap fraction | urban scale | vegetation dust-retention | phenological parameters | multiple ecological factors | leaf age | standard error of the mean | spatio-temporal | LUT method | spectra | albedometer | SURFRAD | Land surface temperature | aboveground biomass | variability | uncertainty | GLASS | gross primary productivity (GPP) | land surface variables | copper | Northeast China | forest disturbance | EVI2 | end of growing season (EOS) | machine learning algorithms | random forest model | latent heat | probability density function | GLASS LAI time series | boreal forest | downward shortwave radiation | leaf | machine learning | MODIS products | maize | composite slope | heterogeneity | temperature profiles | crop-growing regions | satellite observations | rugged terrain | species richness | daily average value | voxel | LAI | canopy reflectance | TMI data | PT algorithm | GF-1 WFV | spatiotemporal representative | light use efficiency | spectral | hybrid method | disturbance index | quantitative remote sensing inversion | SCOPE | GPP | HJ-1 CCD | South China’s | leaf area index | evapotranspiration | land-surface temperature products (LSTs) | SPI | anisotropic reflectance | AVHRR | Tibetan Plateau | snow-free albedo | PROSPECT-5B+SAILH (PROSAIL) model | MCD43A3 C6 | 3D reconstruction | vertical structure | photoelectric detector | snow cover | multi-data set | BEPS | land cover change | start of growing season (SOS) | aerosol retrieval | plant functional type | multisource data fusion | aerosol | pixel unmixing | HiWATER | algorithmic assessment | surface radiation budget | latitudinal pattern | remote sensing | leaf spectral properties | ICESat GLAS | vegetation phenology | SIF | solo slope | metric comparison | Antarctica | spatial heterogeneity | land surface albedo | comprehensive field experiment | longwave upwelling radiation (LWUP) | reflectance model | terrestrial LiDAR | AMSR2 | geometric optical radiative transfer (GORT) model | sinusoidal method | MuSyQ-GPP algorithm | tree canopy | FY-3C/MWRI | meteorological factors | solar-induced chlorophyll fluorescence | NDVI | BRDF | cloud fraction | NPP | metric integration | VPM | China | observations | dense forest | polar orbiting satellite | arid/semiarid | vegetation remote sensing | high resolution | homogeneous and pure pixel filter | thermal radiation directionality | geometric-optical model | biodiversity | gradient boosting regression tree | forest canopy height | phenology | Landsat | LiDAR | ZY-3 MUX | subpixel information | point cloud | multi-scale validation | Fraunhofer Line Discrimination (FLD) | rice | fractional vegetation cover (FVC) | MODIS | interpolation | high-resolution freeze/thaw | humidity profiles | drought | NIR | geostationary satellite | Synthetic Aperture Radar (SAR) | controlling factors | sampling design
eBook
Nature, ISSN 0028-0836, 2013, Volume 503, Issue 7477, pp. 535 - 538
The 2002-3 pandemic caused by severe acute respiratory syndrome coronavirus (SARS-CoV) was one of the most significant public health events in recent... 
ANGIOTENSIN-CONVERTING ENZYME-2 | RECOMBINATION | ORIGIN | SEQUENCES | MULTIDISCIPLINARY SCIENCES | ADAPTATION | DIVERSITY | EMC | ACUTE RESPIRATORY SYNDROME | FUNCTIONAL RECEPTOR | HORSESHOE BATS | Chiroptera - virology | Severe Acute Respiratory Syndrome - virology | Species Specificity | Receptors, Virus - metabolism | Disease Reservoirs - virology | Genome, Viral - genetics | Humans | Pandemics - prevention & control | Severe Acute Respiratory Syndrome - transmission | Cercopithecus aethiops | Molecular Sequence Data | Severe Acute Respiratory Syndrome - veterinary | Receptors, Virus - genetics | SARS Virus - metabolism | Virus Internalization | Pandemics - veterinary | SARS Virus - ultrastructure | Peptidyl-Dipeptidase A - genetics | Feces - virology | SARS Virus - genetics | China | Peptidyl-Dipeptidase A - metabolism | Real-Time Polymerase Chain Reaction | Vero Cells | SARS Virus - isolation & purification | Spike Glycoprotein, Coronavirus - metabolism | Host Specificity | Severe Acute Respiratory Syndrome - prevention & control | Animals | Virion - isolation & purification | Fluorescent Antibody Technique | Virion - ultrastructure | Viverridae - metabolism | Spike Glycoprotein, Coronavirus - chemistry | Bats | Viral genetics | Severe acute respiratory syndrome | Distribution | Genetic aspects | Coronaviruses | Research | Health aspects | Proteins | Pandemics | Microbiology | Genes | Phylogenetics | Genomes | Genetic diversity | RNA polymerase | Public health
Journal Article
Journal of the American Chemical Society, ISSN 0002-7863, 04/2018, Volume 140, Issue 16, pp. 5365 - 5369
Journal Article
Remote Sensing of Environment, ISSN 0034-4257, 04/2013, Volume 131, pp. 14 - 37
Journal Article
Journal of Geophysical Research: Atmospheres, ISSN 0148-0227, 11/2009, Volume 114, Issue D22, p. n/a
The Watershed Allied Telemetry Experimental Research (WATER) is a simultaneous airborne, satellite‐borne, and ground‐based remote sensing experiment aiming to... 
remote sensing | cold region hydrology | arid region hydrology | RIVER-BASIN | PRODUCTS | CHINA | VEGETATION MODEL | VALIDATION | LARGE-SCALE | SCIENCE | HYDROLOGY | METEOROLOGY & ATMOSPHERIC SCIENCES | LAND-SURFACE | ATMOSPHERE | Hydrology | Remote sensing | Watersheds | Meteorology | Charge coupled devices | Mathematical models | Telemetry | Airborne sensing | River basins
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 04/2018, Volume 56, Issue 4, pp. 2119 - 2137
Journal Article
Nature Medicine, ISSN 1078-8956, 03/2019, Volume 25, Issue 3, pp. 433 - 438
Journal Article
Journal of Geophysical Research: Atmospheres, ISSN 2169-897X, 03/2015, Volume 120, Issue 5, pp. 1723 - 1738
Atmospheric water vapor (wv) is required for the accurate retrieval of the land surface temperature from remote sensing data and other applications. This work... 
MSWCVR | TIRS | thermal infrared remote sensing | Landsat 8 | water vapor | RESOLUTION IMAGING SPECTRORADIOMETER | SATELLITE | PERFORMANCE | SENSOR | SURFACE-TEMPERATURE | PRECIPITABLE WATER | SPLIT-WINDOW ALGORITHM | METEOROLOGY & ATMOSPHERIC SCIENCES | RADIOMETRIC CALIBRATION | Temperature | Meteorological satellites | Retrieval | Atmospheres | Images | Calibration | Water vapor | Estimates | Atmospherics | MODIS | Drying
Journal Article