3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function
| 3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function |
| Autore | Latifi Hooman |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (188 p.) |
| Soggetto topico | Biology, life sciences |
| Soggetto non controllato |
3D
3D remote sensing allometric scaling and resource limitation model codispersion coefficient codispersion map composition crowdsourced data diameter at breast height (DBH) digital photogrammetry DSM forest canopy height forest ecology forest fire Fractional cover analysis function google earth engine Google Street View ground validation GSV habitat fragmentation harvester high-voltage power transmission lines imputation interrater agreement kriging Landsat 8 landscape fragmentation Lantana camara laser maximum forest heights measurement error metabolic scale theory missing observations mountainous areas multi-spectral municipal forestry normalized difference vegetation index (NDVI) Norway spruce nu SVR optimization point cloud polarimetery product recovery random Hough transform RapidEye spatial noise species identification SPOT-6 SRTMGL1 street trees structure stump diameter stump height terrestrial laser scanner terrestrial laser scanning tree height tree measurement uneven-aged mountainous urban ecology urban forestry ZiYuan-3 stereo images |
| ISBN | 3-03921-783-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 3D Remote Sensing Applications in Forest Ecology |
| Record Nr. | UNINA-9910367744003321 |
Latifi Hooman
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
|
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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