Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 | ||
| ||
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
|
||
| 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: Volume 1 / Jiancheng Shi, Guangjian Yan, Shunlin Liang
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li: Volume 1 / Jiancheng Shi, Guangjian Yan, Shunlin Liang |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
| Descrizione fisica | 1 online resource (1 p.) |
| Soggetto non controllato | evapotranspiration; Northeast China; MS-PT algorithm; spatial-temporal variations; controlling factors; potential evapotranspiration; vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT; leaf area density; terrestrial LiDAR; tree canopy; vertical structure; voxel; spatial representativeness; heterogeneity; validation; land-surface temperature products (LSTs); observations; HiWATER; remote sensing; spatiotemporal representative; cost-efficient - sampling design; heterogeneity; validation; FY-3C/MERSI; GLASS; Land surface temperature; Land surface emissivity; GPP; SIF; MuSyQ-GPP algorithm; BEPS; vegetation phenology; Tibetan Plateau; MODIS; NDVI; start of growing season (SOS); end of growing season (EOS); GLASS LAI time series; forest disturbance; disturbance index; latent heat; machine learning algorithms; plant functional type; high-resolution freeze/thaw; AMSR2; MODIS; LAI; ZY-3 MUX; GF-1 WFV; HJ-1 CCD; maize; PROSPECT-5B+SAILH (PROSAIL) model; spatial heterogeneity; variability; evapotranspiration; land surface variables; probability density function; HiWATER; spectral; albedometer; interference filter; photoelectric detector; validation; land surface albedo; multi-scale validation; rugged terrain; MRT-based model; MCD43A3 C6; precipitation; statistics methods; China; Tibetan Plateau; South China's; drought; SPI; TMI data; crop-growing regions; downward shortwave radiation; machine learning; gradient boosting regression tree; AVHRR; CMA; BRDF; aerosol; MODIS; sunphotometer; arid/semiarid; solar-induced chlorophyll fluorescence; fluorescence quantum efficiency in dark-adapted conditions (FQE); SCOPE; Fraunhofer Line Discrimination (FLD); gross primary productivity (GPP); longwave upwelling radiation (LWUP); Visible Infrared Imaging Radiometer Suite (VIIRS); surface radiation budget; hybrid method; remote sensing; leaf age; leaf spectral properties; leaf area index; Cunninghamia; Chinese fir; canopy reflectance; NIR; EVI2; geometric optical radiative transfer (GORT) model; land surface albedo; snow-free albedo; rugged terrain; topographic effects; black-sky albedo (BSA); GPP; NPP; MODIS; validation; phenology; RADARSAT-2; rice; Synthetic Aperture Radar (SAR); decision tree; forest canopy height; aboveground biomass; ICESat GLAS; Landsat; random forest model; anisotropic reflectance; BRDF; rugged terrain; solo slope; composite slope; surface solar irradiance; geostationary satellite; polar orbiting satellite; LUT method; SURFRAD; downward shortwave radiation; daily average value; Antarctica; sinusoidal method; cloud fraction; interpolation; boreal forest; GPP; spatiotemporal distribution and variation; meteorological factors; phenological parameters; multisource data fusion; aerosol retrieval; urban scale; vegetation dust-retention; multiple ecological factors; geographical detector model; snow cover; passive microwave; FY-3C/MWRI; algorithmic assessment; China; land surface temperature; satellite observations; flux measurements; latitudinal pattern; land cover change; fractional vegetation cover (FVC); multi-data set; northern China; spatio-temporal; inter-annual variation; uncertainty; standard error of the mean; downscaling; GPP; spatial heterogeneity; remote sensing; subpixel information; LiDAR; point cloud; leaf; gap fraction; 3D reconstruction; biodiversity; remote sensing; species richness; metric comparison; metric integration; leaf area index; MODIS products; Landsat; high resolution; homogeneous and pure pixel filter; pixel unmixing; vertical vegetation stratification; gross primary production (GPP); light use efficiency; dense forest; MODIS; VPM; temperature profiles; humidity profiles; n/a; geometric-optical model; thermal radiation directionality; quantitative remote sensing inversion; scale effects; comprehensive field experiment |
| ISBN | 3-03897-271-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910765761703321 |
|
Shi Jiancheng
|
||
| Basel, Switzerland : , : MDPI, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li: Volume 2 / Jiancheng Shi, Guangjian Yan, Shunlin Liang
| Advances in Quantitative Remote Sensing in China - In Memory of Prof. Xiaowen Li: Volume 2 / Jiancheng Shi, Guangjian Yan, Shunlin Liang |
| Autore | Shi Jiancheng |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
| Descrizione fisica | 1 online resource (1 p.) |
| Soggetto non controllato | evapotranspiration; Northeast China; MS-PT algorithm; spatial-temporal variations; controlling factors; potential evapotranspiration; vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT; leaf area density; terrestrial LiDAR; tree canopy; vertical structure; voxel; spatial representativeness; heterogeneity; validation; land-surface temperature products (LSTs); observations; HiWATER; remote sensing; spatiotemporal representative; cost-efficient - sampling design; heterogeneity; validation; FY-3C/MERSI; GLASS; Land surface temperature; Land surface emissivity; GPP; SIF; MuSyQ-GPP algorithm; BEPS; vegetation phenology; Tibetan Plateau; MODIS; NDVI; start of growing season (SOS); end of growing season (EOS); GLASS LAI time series; forest disturbance; disturbance index; latent heat; machine learning algorithms; plant functional type; high-resolution freeze/thaw; AMSR2; MODIS; LAI; ZY-3 MUX; GF-1 WFV; HJ-1 CCD; maize; PROSPECT-5B+SAILH (PROSAIL) model; spatial heterogeneity; variability; evapotranspiration; land surface variables; probability density function; HiWATER; spectral; albedometer; interference filter; photoelectric detector; validation; land surface albedo; multi-scale validation; rugged terrain; MRT-based model; MCD43A3 C6; precipitation; statistics methods; China; Tibetan Plateau; South China's; drought; SPI; TMI data; crop-growing regions; downward shortwave radiation; machine learning; gradient boosting regression tree; AVHRR; CMA; BRDF; aerosol; MODIS; sunphotometer; arid/semiarid; solar-induced chlorophyll fluorescence; fluorescence quantum efficiency in dark-adapted conditions (FQE); SCOPE; Fraunhofer Line Discrimination (FLD); gross primary productivity (GPP); longwave upwelling radiation (LWUP); Visible Infrared Imaging Radiometer Suite (VIIRS); surface radiation budget; hybrid method; remote sensing; leaf age; leaf spectral properties; leaf area index; Cunninghamia; Chinese fir; canopy reflectance; NIR; EVI2; geometric optical radiative transfer (GORT) model; land surface albedo; snow-free albedo; rugged terrain; topographic effects; black-sky albedo (BSA); GPP; NPP; MODIS; validation; phenology; RADARSAT-2; rice; Synthetic Aperture Radar (SAR); decision tree; forest canopy height; aboveground biomass; ICESat GLAS; Landsat; random forest model; anisotropic reflectance; BRDF; rugged terrain; solo slope; composite slope; surface solar irradiance; geostationary satellite; polar orbiting satellite; LUT method; SURFRAD; downward shortwave radiation; daily average value; Antarctica; sinusoidal method; cloud fraction; interpolation; boreal forest; GPP; spatiotemporal distribution and variation; meteorological factors; phenological parameters; multisource data fusion; aerosol retrieval; urban scale; vegetation dust-retention; multiple ecological factors; geographical detector model; snow cover; passive microwave; FY-3C/MWRI; algorithmic assessment; China; land surface temperature; satellite observations; flux measurements; latitudinal pattern; land cover change; fractional vegetation cover (FVC); multi-data set; northern China; spatio-temporal; inter-annual variation; uncertainty; standard error of the mean; downscaling; GPP; spatial heterogeneity; remote sensing; subpixel information; LiDAR; point cloud; leaf; gap fraction; 3D reconstruction; biodiversity; remote sensing; species richness; metric comparison; metric integration; leaf area index; MODIS products; Landsat; high resolution; homogeneous and pure pixel filter; pixel unmixing; vertical vegetation stratification; gross primary production (GPP); light use efficiency; dense forest; MODIS; VPM; temperature profiles; humidity profiles; n/a; geometric-optical model; thermal radiation directionality; quantitative remote sensing inversion; scale effects; comprehensive field experiment |
| ISBN | 3-03897-277-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910765784403321 |
|
Shi Jiancheng
|
||
| Basel, Switzerland : , : MDPI, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||