Afforestation and Reforestation : : Drivers, Dynamics, and Impacts / / Lu Hao, Ge Sun, Zhiqiang Zhang, Jingfeng Xiao, Gang Dong
| Afforestation and Reforestation : : Drivers, Dynamics, and Impacts / / Lu Hao, Ge Sun, Zhiqiang Zhang, Jingfeng Xiao, Gang Dong |
| Autore | Hao Lu |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (194 p.) |
| Soggetto topico | Biology, life sciences |
| Soggetto non controllato |
simulation modeling
shear strength stand structure vegetation restoration surface runoff soil and water conservation function soil enzymes riverbank evapotranspiration human activity afforestation Artemisia ordosica forest cover precipitation variation soil bioengineering base flow Poyang Lake Basin in situ calibration quantification chlorophyll fluorescence photoprotection remote sensing root distribution ecosystem model CASA afforestation ecosystem phenophase vegetation cover change soil characteristics Robinia pseudoacacia L. and Pinus tabulaeformis Carr. mixed plantations composted pine bark water-energy balance sediment load soil respiration energy partitioning soil microbial biomass transpiration net primary productivity spatio-temporal scales seedling quality peat moss fresh pine sawdust understory plants ring-porous trees different climatic conditions dye tests structural equation model Loess Plateau evapotranspiration (ET) Pinus engelmannii Carr empirical statistics heat dissipation probes MODIS slope change ratio of cumulative quantities (SCRCQ) soil water balance LAI climate fluctuation BTOPMC model living brush mattress vegetation greening streamflow |
| ISBN |
9783039214488
3039214489 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367752403321 |
Hao Lu
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of the Terrestrial Hydrologic Cycle
| Remote Sensing of the Terrestrial Hydrologic Cycle |
| Autore | Tang Qiuhong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (260 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
China
ChinaFLUX climate change clouds and earth's radiation energy system (CERES) cloudy sky cooling effects Daihai Lake deep learning Doppler radar dry-wet regime error analysis evaluation evapotranspiration evapotranspiration (ET) exorheic catchments Fengyun GIMMS GLDAS GPM GRACE Huangqihai Lake hydrological cycle IMERG infrared remote sensing irrigation intensity irrigation mapping irrigation signal K-nearest neighbor lake degradation land cover change leave-one-out cross validation Microwave emissivity difference vegetation index (EDVI) MODIS n/a precipitation precipitation classification quantitative precipitation estimates radar-rain gauge merging rain gauge random forest remote sensing reservoir storage runoff satellite remote sensing SMAP soil moisture SRTM subhumid region terrestrial water storage changes Three-North region three-temperature model Tropical Precipitation Measurement Mission (TRMM) urban hedges Variable Infiltration Capacity (VIC) model vegetation dynamics verification water balance weather radar quantitative precipitation estimation winter wheat Yarlung Zangbo River |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557581803321 |
Tang Qiuhong
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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UAVs for Vegetation Monitoring
| UAVs for Vegetation Monitoring |
| Autore | de Castro Megías Ana |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (452 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Acacia
agro-environmental measures artificial intelligence artificial neural network banana broad-sense heritability canopy cover canopy height century-old biochar chlorophyll content CIELab classification close remote sensing CNN container-grown contextual spatial domain/resolution convolution neural network cotton root rot crop canopy crop disease crop mapping crop monitoring curve fitting data aggregation deep learning detection performance disease detection disease diagnosis disease monitoring drone drought tolerance eddy covariance (EC) evapotranspiration (ET) Faster RCNN flight altitude forage grass forest Fusarium wilt Glycine max GRAPEX growth model high throughput field phenotyping HSV hyperspectral image analysis image segmentation Inception v2 individual plant segmentation Indonesia inference time land cover least squares support vector machine machine learning maize tassel method comparison MobileNet v2 multiple linear regression multiscale textures multispectral multispectral image multispectral imagery multispectral remote sensing NDVI neural network nitrogen stress nutrient deficiency oil palm olive groves operating parameters ornamental patch-based CNN phenotyping gap plant detection plant nitrogen estimation plant segmentation plant trails plant-by-plant plant-level precision agriculture purple rapeseed leaves random forest red-edge spectra remote sensing remote sensing technique RGB RGB camera RGB imagery semantic segmentation single-plant solar zenith angle southern Spain spatial resolution SSD sUAS support vector machine tassel branch number texture thermal thermal camera time of day transfer learning transpiration tropics Two Source Energy Balance model (TSEB) U-Net UAS UAV UAV digital images UAV hyperspectral UAV remote sensing unmanned aerial vehicle variable importance vegetation cover vegetation ground cover vegetation index vegetation indices VGG16 visual recognition water stress weed detection wheat yellow rust winter wheat biomass |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557661103321 |
de Castro Megías Ana
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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