Advanced remote sensing [[electronic resource] ] : terrestrial information extraction and applications / / edited by Shunlin Liang, Xiaowen Li, Jindi Wang
| Advanced remote sensing [[electronic resource] ] : terrestrial information extraction and applications / / edited by Shunlin Liang, Xiaowen Li, Jindi Wang |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Academic Press, 2012 |
| Descrizione fisica | 1 online resource (821 p.) |
| Disciplina | 621.36/78 |
| Altri autori (Persone) |
LiangShunlin
LiXiaowen <1969-> WangJindi |
| Soggetto topico |
Earth sciences - Remote sensing
Environmental sciences - Remote sensing Remote sensing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-98323-X
9786613754844 0-12-385955-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: 1. A Systematic View of Remote Sensing 2. Geometric Processing and Positioning Techniques 3. Compositing, Smoothing and Gap-filling Techniques 4. Data Fusion 5. Atmospheric Correction of Optical Imagery 6. Solar Radiation 7. Broadband Albedo 8. Land Surface Temperature and Thermal Infrared Emissivity 9. Surface Longwave Radiation Budget 10. Canopy Biochemical Characteristics 11. Leaf Area Index 12. Fraction of Absorbed Photosynthetically Active Radiation by Green Vegetation 13. Fractional Vegetation Cover 14. Vegetation Height and Vertical Structure 15. Above-ground Biomass 16. Vegetation production in terrestrial ecosystems 17. Precipitation 18. Terrestrial Evapotranspiration 19. Soil Moisture 20. Snow Water Equivalence 21. Water Storage 22. High-level Land Product Integration Methods 23. Product and Data Management Systems 24. Land Cover and Land Use Changes. |
| Record Nr. | UNINA-9910462479503321 |
| Amsterdam ; ; Boston, : Academic Press, 2012 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced remote sensing [[electronic resource] ] : terrestrial information extraction and applications / / edited by Shunlin Liang, Xiaowen Li, Jindi Wang
| Advanced remote sensing [[electronic resource] ] : terrestrial information extraction and applications / / edited by Shunlin Liang, Xiaowen Li, Jindi Wang |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Academic Press, 2012 |
| Descrizione fisica | 1 online resource (821 p.) |
| Disciplina | 621.36/78 |
| Altri autori (Persone) |
LiangShunlin
LiXiaowen <1969-> WangJindi |
| Soggetto topico |
Earth sciences - Remote sensing
Environmental sciences - Remote sensing Remote sensing |
| ISBN |
1-280-98323-X
9786613754844 0-12-385955-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: 1. A Systematic View of Remote Sensing 2. Geometric Processing and Positioning Techniques 3. Compositing, Smoothing and Gap-filling Techniques 4. Data Fusion 5. Atmospheric Correction of Optical Imagery 6. Solar Radiation 7. Broadband Albedo 8. Land Surface Temperature and Thermal Infrared Emissivity 9. Surface Longwave Radiation Budget 10. Canopy Biochemical Characteristics 11. Leaf Area Index 12. Fraction of Absorbed Photosynthetically Active Radiation by Green Vegetation 13. Fractional Vegetation Cover 14. Vegetation Height and Vertical Structure 15. Above-ground Biomass 16. Vegetation production in terrestrial ecosystems 17. Precipitation 18. Terrestrial Evapotranspiration 19. Soil Moisture 20. Snow Water Equivalence 21. Water Storage 22. High-level Land Product Integration Methods 23. Product and Data Management Systems 24. Land Cover and Land Use Changes. |
| Record Nr. | UNINA-9910790315503321 |
| Amsterdam ; ; Boston, : Academic Press, 2012 | ||
| 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-9910346664103321 |
Shi Jiancheng
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| 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 | ||
| 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 | ||
| 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 | ||
| Lo trovi qui: Univ. Federico II | ||
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The Geography of Contemporary China / / by Jing’ai Wang, Shunlin Liang, Peijun Shi
| The Geography of Contemporary China / / by Jing’ai Wang, Shunlin Liang, Peijun Shi |
| Autore | Wang Jing'ai |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (466 pages) |
| Disciplina |
304.2
915.1 |
| Collana | World Regional Geography Book Series |
| Soggetto topico |
Geography
Physical geography Human geography Ecology Asia—Politics and government Cultural geography Regional Geography Physical Geography Human Geography Environmental Sciences Asian Politics Social and Cultural Geography |
| ISBN | 3-031-04158-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Territory and Geopolitics -- Chapter 3. Topography and Landforms -- Chapter 4. Climate and Climate Change -- Chapter 5. Hydrology and Water Resources -- Chapter 6. Land Cover and Land Use -- Chapter 7. Natural Resources and Energy -- Chapter 8. Land Degradation and Ecological Restoration -- Chapter 9. Environmental Pollution and Protection -- Chapter 10. Natural Disasters -- Chapter 11. Population and Urbanization -- Chapter 12. Economic Geography -- Chapter 13. China’s Opening-up and Trade -- Chapter 14. Tourism Geography -- Chapter 15. Sustainable Development -- Index. |
| Record Nr. | UNINA-9910733726703321 |
Wang Jing'ai
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remotely Sensed Albedo
| Remotely Sensed Albedo |
| Autore | Liang Shunlin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (250 p.) |
| Soggetto topico |
Environmental economics
Research & information: general |
| Soggetto non controllato |
albedo
Arctic AVHRR bare soil albedo bi-hemispherical reflectance BRDF BRDF/Albedo CGLS climate climate change consumer-grade camera contiguous United States directional correction directional hemispherical reflectance DMSP empirical modeling EnKF forest cover forest management forest structure GC-NET high spatio-temporal resolution HLS land surface albedo land use Landsat Landsat albedo landscape linear endmember LTDR MISR MODIS MODIS albedo n/a NDSI Snow Cover OzFlux PROMICE radiometric calibration remote sensing sea ice semivariogram Sentinel 2 snow soil line soil moisture spatial representativeness spectral unmixing surface albedo SURFRAD time series tower albedometer Unmanned Aerial Vehicle (UAV) Unmanned Aerial Vehicles upscaling urbanization validation vegetation indices vegetation variation VIIRS VJB |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557135603321 |
Liang Shunlin
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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