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Applications of Remote Image Capture System in Agriculture
| Applications of Remote Image Capture System in Agriculture |
| Autore | Molina Martínez José Miguel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (310 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D model
aerial photography agricultural robot agriculture Agriculture 4.0 andosols applications artificial intelligence automatic tomato harvesting banana plantation berries counting budding rate Cabernet Sauvignon canopy temperature classification performance coffee leaf rust convolutional neural network decision making deep learning digital agriculture digital image correlation Dilated CNN failure strain fertirrigation finite element method Fourth Industrial Revolution frequency-domain reflectometry geometric consistency grape yield estimate greenhouse Hill-Tsai failure criterion ICP image processing land use large-scale low-cost thermography machine learning machine learning algorithms machine learning regression mixed pixels moisture sensors n/a NDVI non-transpiration baseline non-water-stressed baselines normalized difference vegetation index Normalized Difference Vegetation Index normalized difference water index online operation optimization algorithm Panama TR4 Parrot Sequoia pasture quality index point clouds precision agriculture precision viticulture Prunus avium L. radiometric consistency randomizable filtered classifier reference evapotranspiration reflectance maps remote images remote sensing sandstone segmentation Sentinel-2 soil moisture spatial vision spectrometry stem water potential supplementation SVM systematic mapping study teaching-learning thermal indexes total leaf area U-Net UAV vegetation indices water stress winter wheat mapping |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557895803321 |
Molina Martínez José Miguel
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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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Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
| Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass |
| Autore | Aranha José |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (276 p.) |
| Soggetto topico |
Geography
Research and information: general |
| Soggetto non controllato |
above-ground biomass
aboveground biomass AGB estimation and mapping allometric equation ALOS DSM ALOS-2 L band SAR bark roughness bioenergy biomass density biomass estimation DBH diameter at breast height ecosystem services forest AGC estimation forest biomass estimation forest growing stock volume forest inventory data forest succession forest type GEOMON GIS individual tree detection landsat Landsat 8 OLI Landsat dataset leaf area index LiDAR machine learning machine learning algorithms mangroves map quality multiple ES interactions multisource remote sensing nondestructive method norway spruce ordinary kriging Pinus massoniana plantations plant area index random forest remote sensing seasonal images sentinel 2 Sentinel-1 C band SAR Sentinel-2 MSI Sentinel-2A shrubs biomass spatiotemporal evolution SPOT6 imagery stand volume stepwise regression subtropical forest subtropical forests support vector machine for regression synergy terrestrial laser scanning trade-off tree height UAV LiDAR urban vegetation valley basin variable selection vegetation indices WorldView-2 Xuzhou |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557474803321 |
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Aranha José
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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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Artificial Neural Networks in Agriculture
| Artificial Neural Networks in Agriculture |
| Autore | Kujawa Sebastian |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (283 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general Technology, engineering, agriculture |
| Soggetto non controllato |
agroecology
apparent soil electrical conductivity (ECa) artificial neural network artificial neural network (ANN) artificial neural networks automated harvesting average degree of coverage big data classification CLQ CNN convolutional neural networks corn canopy cover corn plant density correlation filter coverage unevenness coefficient crop models crop yield prediction cropland mapping decision supporting systems deep learning deoxynivalenol dynamic model dynamic response dynamic time warping EBK EM38 environment Faster-RCNN ferulic acid food production GA-BPNN GPP-driven spectral model grain Grain weevil identification health high-resolution imagery high-throughput phenotyping hybrid feature extraction hydroponics image classification image identification LSTM machine learning magnetic susceptibility (MS) Medjool dates memory metric MLP network model application for sustainable agriculture modeling NARX neural networks neural image analysis neural modelling classification neural network neural networks nivalenol oil palm tree optimization paddy rice mapping Phoenix dactylifera L. plant growth precision agriculture predicting recursive feature elimination wrapper remote sensing for agriculture rice phenology root zone temperature sensitivity analysis similarity soil and plant nutrition soybean time series forecasting transfer learning UAV vegetation indices weakly supervised learning weeds winter wheat yield gap yield prediction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557509803321 |
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Kujawa Sebastian
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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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Drones for Biodiversity Conservation and Ecological Monitoring
| Drones for Biodiversity Conservation and Ecological Monitoring |
| Autore | Mücher C.A |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (176 p.) |
| Soggetto non controllato |
accuracy
aerial survey albedo biodiversity biodiversity threats biological conservation bird censuses boreal forest conservation drone drone mapping drones drought ecological integrity ecological monitoring effective management field experiments flight altitude forest regeneration forêt Montmorency great apes greenness index ground-truth hyperspectral image processing image resolution Landsat 8 long-term monitoring low-cost UAV LTER LTSER Motus multiscale approach multispectral multispectral mapping native grassland NDVI Parrot Sequoia Parrot SEQUOIA phenology Pinus nigra Pinus sylvestris Plegadis falcinellus precision protected areas radio-tracking random forest response surface rice crops RPAS Sentinel Sentinel-2 Sequoia small UAV supervised classification survey Tanzania UAS UAV UAVs unmanned aerial vehicles (UAVs) vegetation indices western swamphen |
| ISBN | 3-03921-981-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367736803321 |
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Mücher C.A
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Land Surface Monitoring Based on Satellite Imagery
| Land Surface Monitoring Based on Satellite Imagery |
| Autore | Venafra Sara |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (232 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
Sentinel-2
spectral bands LAI vegetation indices Sentinel-1 SAR RVI incidence angle crop coefficient leaf area index urban heat island UHI regional impacts non-urban areas remote sensing thermal band UHI intensity remote sensing/GIS spatial dynamics landscape metrics urban–rural gradient urbanization automatic monitoring time series change detection urban planning hyperspectral cacti drone climate change drought water deficit index infrared observations satellite surface temperature air temperature humidity dew point temperature land subsidence DInSAR differential interferograms stacking floods coastal plain of Tabasco crop residue fusion machine learning algorithm reflective and radar bands land-cover change REDD+ Google Earth Engine random forest landsat Togo emissivity evapotranspiration heterogeneity Rao’s Q index spectral variation hypothesis thermal infrared |
| ISBN | 3-0365-5930-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639991903321 |
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Venafra Sara
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing for Precision Nitrogen Management
| Remote Sensing for Precision Nitrogen Management |
| Autore | Miao Yuxin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (602 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
UAS
multiple sensors vegetation index leaf nitrogen accumulation plant nitrogen accumulation pasture quality airborne hyperspectral imaging random forest regression sun-induced chlorophyll fluorescence (SIF) SIF yield indices upward downward leaf nitrogen concentration (LNC) wheat (Triticum aestivum L.) laser-induced fluorescence leaf nitrogen concentration back-propagation neural network principal component analysis fluorescence characteristics canopy nitrogen density radiative transfer model hyperspectral winter wheat flooded rice pig slurry aerial remote sensing vegetation indices N recommendation approach Mediterranean conditions nitrogen vertical distribution plant geometry remote sensing maize UAV multispectral imagery LNC non-parametric regression red-edge NDRE dynamic change model sigmoid curve grain yield prediction leaf chlorophyll content red-edge reflectance spectral index precision N fertilization chlorophyll meter NDVI NNI canopy reflectance sensing N mineralization farmyard manures Triticum aestivum discrete wavelet transform partial least squares hyper-spectra rice nitrogen management reflectance index multiple variable linear regression Lasso model Multiplex®3 sensor nitrogen balance index nitrogen nutrition index nitrogen status diagnosis precision nitrogen management terrestrial laser scanning spectrometer plant height biomass nitrogen concentration precision agriculture unmanned aerial vehicle (UAV) digital camera leaf chlorophyll concentration portable chlorophyll meter crop PROSPECT-D sensitivity analysis UAV multispectral imagery spectral vegetation indices machine learning plant nutrition canopy spectrum non-destructive nitrogen status diagnosis drone multispectral camera SPAD smartphone photography fixed-wing UAV remote sensing random forest canopy reflectance crop N status Capsicum annuum proximal optical sensors Dualex sensor leaf position proximal sensing cross-validation feature selection hyperparameter tuning image processing image segmentation nitrogen fertilizer recommendation supervised regression RapidSCAN sensor nitrogen recommendation algorithm in-season nitrogen management nitrogen use efficiency yield potential yield responsiveness standard normal variate (SNV) continuous wavelet transform (CWT) wavelet features optimization competitive adaptive reweighted sampling (CARS) partial least square (PLS) grapevine hyperparameter optimization multispectral imaging precision viticulture RGB multispectral coverage adjusted spectral index vegetation coverage random frog algorithm active canopy sensing integrated sensing system discrete NIR spectral band data soil total nitrogen concentration moisture absorption correction index particle size correction index coupled elimination |
| ISBN | 3-0365-5710-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637794503321 |
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Miao Yuxin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Above Ground Biomass / Lalit Kumar, Onisimo Mutanga
| Remote Sensing of Above Ground Biomass / Lalit Kumar, Onisimo Mutanga |
| Autore | Kumar Lalit |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (264 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
NDLMA
multi-angle remote sensing TerraSAR-X above ground biomass stem volume regression analysis ground-based remote sensing sensor fusion pasture biomass grazing management livestock mixed forest SPLSR estimation accuracy Bidirectional Reflectance Distribution Factor forage crops Land Surface Phenology climate change vegetation index dry biomass mapping rangeland productivity vegetation indices error analysis broadleaves remote sensing applicability evaluation ultrasonic sensor chlorophyll index alpine meadow grassland forest biomass anthropogenic disturbance fractional vegetation cover alpine grassland conservation carbon mitigation conifer short grass grazing exclusion MODIS time series random forest aboveground biomass NDVI AquaCrop model inversion model wetlands field spectrometry spectral index yield foliage projective cover lidar correlation coefficient Sahel biomass dry matter index Niger Landsat grass biomass particle swarm optimization winter wheat carbon inventory rice forest structure information MODIS light detection and ranging (LiDAR) ALOS2 ecological policies above-ground biomass Wambiana grazing trial food security forest above ground biomass (AGB) Atriplex nummularia regional sustainability CIRed-edge |
| ISBN |
9783039212101
3039212109 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367567003321 |
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Kumar Lalit
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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 Biophysical Parameters
| Remote Sensing of Biophysical Parameters |
| Autore | García-Haro Francisco Javier |
| Descrizione fisica | 1 online resource (274 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
6SV
active learning agriculture airborne laser scanning (ALS) artificial neural networks ASD Field Spec biophysical parameters (LAI burn severity canopy chlorophyll content canopy loss canopy water content CCC climate data records (CDR) clumping index (CI) Discrete Anisotropic Radiative Transfer (DART) model EnMAP equivalent water thickness FAPAR FAPAR) fluorescence forest fraction of photosynthetically active radiation absorbed by vegetation (FPAR) FVC GPR hyperspectral in vivo INFORM invasive vegetation LAI Landsat 8 LaSRC LCC lead ions leaf area index leaf area index (LAI) LEDAPS machine learning meteosat second generation (MSG) Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS multispectral sensor NDVI PROSAIL rapeseed crop remote sensing indices riparian SAIL Satellite Application Facility for Land Surface Analysis (LSA SAF) Sentinel-2 SEVIRI site-specific farming soil albedo spaceborne laser scanning (SLS) spectrometry spectroscopy SREM stochastic spectral mixture model (SSMM) surface reflectance terrestrial laser scanning (TLS) the fraction of radiation absorbed by photosynthetic components (FAPARgreen) three-dimensional radiative transfer model (3D RTM) triple-source uncertainty assessment unmanned aircraft vehicle vegetation indices vegetation radiative transfer model vertical foliage profile (VFP) wildfire woody area index (WAI) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595067603321 |
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García-Haro Francisco Javier
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Savannas and Woodlands
| Remote Sensing of Savannas and Woodlands |
| Autore | Hill Michael J |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (286 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
3D point cloud
Above Ground Biomass (AGB) aboveground biomass Africa albedo allometry alternative stable states Amazon bare soil biomass carbon Cerrado Cerrado ecosystem conservation cost-effective deciduous ecoregion ecosystem function encroachment evergreen forests fractional cover grassland grasslands hydrology land cover land surface temperature LiDAR livestock mapping MODIS MODIS VCF monitoring n/a oak-grass savanna optical phenocams phenology plant water availability post oak production systems random forest remote sensing sar SAR savanna Savanna savannas Sentinel-2 spectral indexes synergism terrestrial laser scanning (TLS) TLS tree phenology trend vegetation vegetation dynamics vegetation index vegetation indices vegetation persistence vegetation seasonality vegetation structure vegetation type |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557426603321 |
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Hill Michael J
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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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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 |
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Liang Shunlin
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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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