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Afforestation and Reforestation: Drivers, Dynamics, and Impacts
| Afforestation and Reforestation: Drivers, Dynamics, and Impacts |
| Autore | Sun Ge |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (194 p.) |
| 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 | 3-03921-448-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Afforestation and Reforestation |
| Record Nr. | UNINA-9910367752403321 |
Sun Ge
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| 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 electronic resource (260 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
hydrological cycle
Three-North region climate change land cover change Variable Infiltration Capacity (VIC) model evapotranspiration runoff soil moisture three-temperature model infrared remote sensing urban hedges cooling effects irrigation mapping remote sensing random forest subhumid region dry-wet regime vegetation dynamics GLDAS GIMMS Yarlung Zangbo River Microwave emissivity difference vegetation index (EDVI) evapotranspiration (ET) satellite remote sensing cloudy sky clouds and earth's radiation energy system (CERES) ChinaFLUX precipitation classification K-nearest neighbor Doppler radar Tropical Precipitation Measurement Mission (TRMM) irrigation signal SMAP irrigation intensity winter wheat precipitation evaluation error analysis Fengyun quantitative precipitation estimates GPM IMERG deep learning Daihai Lake Huangqihai Lake lake degradation weather radar quantitative precipitation estimation rain gauge radar-rain gauge merging leave-one-out cross validation verification China exorheic catchments water balance GRACE terrestrial water storage changes reservoir storage MODIS SRTM |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557581803321 |
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Tang Qiuhong
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| 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 electronic resource (452 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
UAS
UAV vegetation cover multispectral land cover forest Acacia Indonesia tropics vegetation ground cover vegetation indices agro-environmental measures olive groves southern Spain sUAS water stress ornamental container-grown artificial intelligence machine learning deep learning neural network visual recognition precision agriculture canopy cover image analysis crop mapping evapotranspiration (ET) GRAPEX remote sensing Two Source Energy Balance model (TSEB) contextual spatial domain/resolution data aggregation eddy covariance (EC) Fusarium wilt crop disease banana multispectral remote sensing purple rapeseed leaves unmanned aerial vehicle U-Net plant segmentation nitrogen stress Glycine max RGB canopy height close remote sensing growth model curve fitting NDVI solar zenith angle flight altitude time of day operating parameters CNN Faster RCNN SSD Inception v2 patch-based CNN MobileNet v2 detection performance inference time disease detection cotton root rot plant-level single-plant plant-by-plant classification UAV remote sensing crop monitoring RGB imagery multispectral imagery century-old biochar semantic segmentation random forest crop canopy multispectral image chlorophyll content remote sensing technique individual plant segmentation plant detection transfer learning maize tassel tassel branch number convolution neural network VGG16 plant nitrogen estimation vegetation index image segmentation transpiration method comparison oil palm multiple linear regression support vector machine artificial neural network UAV hyperspectral wheat yellow rust disease monitoring texture spatial resolution RGB camera thermal camera drought tolerance forage grass HSV CIELab broad-sense heritability phenotyping gap high throughput field phenotyping UAV digital images winter wheat biomass multiscale textures red-edge spectra least squares support vector machine variable importance drone hyperspectral thermal nutrient deficiency weed detection disease diagnosis plant trails |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557661103321 |
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de Castro Megías Ana
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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