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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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World
| Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World |
| Autore | Zhang Yongqiang |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (216 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
5G
arid ungauged regions assimilation frequency calibration climate change coefficient of variability coupled atmospheric-hydrologic system data assimilation design rainfall double-mass analysis E-band ecological water transfer Ephemeral rivers evaporation evapotranspiration flash flood flood peak discharge flux tower grid-based Hebei model hydrological prediction IDF formula incipient motion Integrated Multi-Satellite Retrievals for Global Precipitation Measurement LAI land use change LOS-MIMO lumped Hebei model millimeter-wave MK-S trend analysis model NDVI northwestern China Penman-Monteith equation PML-V2 radar reflectivity rain rate estimation rainfall forecast rainfall monitoring Rainfall Triggering Index rainfall-runoff prediction RainyDay regression remote sensing seasonal ARIMA Sentinel-2 Sierra Nevada sponge city surface and groundwater interaction SWAT UAV remote sensing ungauged drainage basin urban ecosystem urban flood vapor pressure deficit water limitation wetland vegetation ecosystem WRF-3DAVR WRF-3DVar data assimilation WRF-Hydro modeling system Yunnan |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557426703321 |
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Zhang Yongqiang
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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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