Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Learning to Understand Remote Sensing Images . Volume 1
| Learning to Understand Remote Sensing Images . Volume 1 |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (414 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN | 3-03897-685-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755603321 |
Wang Qi
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Monitoring, Modelling and Management of Water Quality
| Monitoring, Modelling and Management of Water Quality |
| Autore | Zessner Matthias |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto topico |
Research & information: general
Environmental economics Pollution control |
| Soggetto non controllato |
diffuse pollution
field mapping storm drains Bayesian statistics distributed modelling PhosFate water quality analysis method chromaticity measurement surface fitting concentration of dissolved matter Copernicus Programme ACOLITE flooding quasi-real time monitoring inundation mapping suspended matter Spain cyanobacteria Microcystis aeruginosa water monitoring spectrophotometry derivative absorbance model evaluation nitrogen nutrient retention phosphorus sediment constructed wetland water resources management eutrophication unmanned surface vehicle water monitoring ensemble learning dynamic power management observational process ontology water quality monitoring water pollution alert semantic discovery water quality status sources and pathways land cover digital elevation model urban river ArcGIS modeling CSO urban drainage sewer system trace pollutants urban runoff concentration duration frequency curve MONERIS diffuse nutrient emission empirical modeling river basin management plan of Hungary effectiveness of measures scenarios and forecasts socioeconomic context sources and pathways of water pollution system understanding water governance water quality statuses and trends water pollution control |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557548403321 |
|
Zessner Matthias
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiple Roles for Landscape Ecology in Future Farming Systems
| Multiple Roles for Landscape Ecology in Future Farming Systems |
| Autore | Pearson Diane |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (228 p.) |
| Soggetto topico |
Technology: general issues
Environmental science, engineering & technology |
| Soggetto non controllato |
future farming systems
sustainable landscapes landscape planning environmental challenges transdisciplinary agricultural systems indigenous economic development production systems landscape ecology wild harvest yerba mate agroforestry integrated landscape agrobiodiversity silvopastoral systems multifunctional landscapes landscape services geodesign agricultural landscape planning agricultural land cropland land category land fund territory Russia land cover land use landscape structure Eurasian skylark farmland birds prediction Natura 2000 land use changes wild bees land management practices validation InVEST model land system dynamics emergent properties time series analysis nonlinear dynamics Recurrence Plots Scotland social-ecological system mountain region spatial analysis land-use change farming |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580216903321 |
|
Pearson Diane
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing Applications in Coastal Environment
| Remote Sensing Applications in Coastal Environment |
| Autore | Terefenko Paweł |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (282 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
big data applications
data processing data visualization neural networks reduction coastal waters urban expansion remote sensing and GIS expansion types and rates major explanatory factors Miami metropolitan area cliff coastlines cliff retreat time-series analysis airborne laser scanner warm upwelling sea surface temperature numerical modelling winter southern Baltic Sea beach monitoring mobile terrestrial LiDAR intensity calibration beach surface moisture Baltic coast Poland CORINE Land Cover land cover flow urbanisation afforestation deforestation spatial analysis SDGs coastal habitats ecosystem monitoring land cover mapping random forest algorithm Sentinel-2 modified soil-adjusted vegetation index 2-MSAVI2 normalized difference water index 2-NDWI2 brightness index 2-BI2 oil spill remote sensing review machine learning deep learning trajectory modeling vulnerability assessment coastal geomorphology shoreline change coastal process monitoring geomatic techniques Po River Delta archival multi-temporal data coastline changes emerged/submerged surfaces land subsidence relative sea level rise 2100 land cover dune coast air photograph South Baltic Sea coastal monitoring estuaries IoT lidar |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557475903321 |
|
Terefenko Paweł
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing in Mangroves
| Remote Sensing in Mangroves |
| Autore | Giri Chandra |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (292 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
Landsat
estuary protected area land use land cover change detection time series Great Barrier Reef Sentinel-2 ALOS-2 PALSAR-2 mangrove above-ground biomass extreme gradient boosting Can Gio biosphere reserve Vietnam LiDAR random forest GLAS aboveground biomass mangrove plantation aboveground biomass estimation optical images SAR DSM vegetation index color RGB accuracy assessment transgression mangrove development machine learning mangrove condition classification remote sensing ecosystem upscaling Worldview-2 Niger Delta Region mangroves land cover dynamics intensity analysis fragmentation spectral-temporal metrics land degradation ALOS PALSAR-2 JERS-1 GLCM Markov chain cellular automata data fusion forest monitoring Google Earth Engine mangrove forests multi-temporal analysis satellite earth observation time series analysis GEEMMM google earth engine Myanmar cloud computing digital earth GAMs Generalized Additive Models EVI phenology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557495403321 |
|
Giri Chandra
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (286 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
Savanna
alternative stable states MODIS VCF land surface temperature albedo Cerrado Amazon vegetation type optical sar synergism mapping savanna post oak vegetation index ecosystem function phenology encroachment evergreen deciduous vegetation grassland fractional cover trend ecoregion bare soil livestock production systems remote sensing vegetation dynamics vegetation persistence conservation savannas Africa vegetation indices oak-grass savanna hydrology Sentinel-2 land cover grasslands forests monitoring random forest spectral indexes vegetation seasonality aboveground biomass Cerrado ecosystem SAR allometry biomass carbon cost-effective LiDAR TLS plant water availability tree phenology phenocams MODIS terrestrial laser scanning (TLS) Above Ground Biomass (AGB) 3D point cloud vegetation structure |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557426603321 |
|
Hill Michael J
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sensors in Agriculture . Volume 1
| Sensors in Agriculture . Volume 1 |
| Autore | Moshou Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (346 p.) |
| Soggetto non controllato |
optical sensor
spectral analysis response surface sampling sensor evaluation electromagnetic induction multivariate water quality parameters mandarin orange crop inspection platform SPA-MLR object tracking feature selection simultaneous measurement diseases genetic algorithms processing of sensed data electrochemical sensors thermal image ECa-directed soil sampling handheld recognition patterns salt concentration clover-grass bovine embedded hardware weed control soil field crops vineyard connected dominating set water depth sensors SS-OCT wheat striped stem-borer silage geostatistics detection NIR hyperspectral imaging electronic nose machine learning virtual organizations of agents packing density data validation and calibration dataset Wi-SUN temperature sensors geoinformatics gas sensor X-ray fluorescence spectroscopy vegetable oil photograph-grid method Vitis vinifera WSN distribution algorithms laser-induced breakdown spectroscopy irrigation quality assessment energy efficiency wireless sensor network (WSN) geo-information Fusarium texture features weeds discrimination big data soil moisture sensors meat spoilage land cover stereo imaging near infrared sensors biological sensing compound sensor pest management moisture plant localization heavy metal contamination artificial neural networks spectral pre-processing moisture content apparent soil electrical conductivity data fusion semi-arid regions smart irrigation back propagation model wireless sensor network energy balance light-beam fluorescent measurement agriculture precision agriculture deep learning spectroscopy hulled barely dielectric probe RPAS water supply network rice leaves mobile app gradient boosted machines hyperspectral camera one-class nitrogen LiDAR total carbon chemometrics analysis rice agricultural land on-line vis-NIR measurement CARS obstacle detection stratification neural networks regression estimator Kinect proximity sensing distributed systems pest noninvasive detection texture feature soil mapping classification soil salinity visible and near-infrared reflectance spectroscopy germination computer vision hyperspectral imaging diffusion dielectric dispersion UAS random forests case studies total nitrogen thermal imaging cameras dry matter composition near-infrared salt tolerance deep convolutional neural networks soil type classification water management preprocessing methods wireless sensor networks (WSN) remote sensing image classification precision plant protection radar spatial variability GF-1 satellite plant disease naked barley leaf area index CIE-Lab change of support radiative transfer model 3D reconstruction plant phenotyping vine near infrared vegetation indices remote sensing greenhouse time-series data scattering sensor crop area speckle spatial data grapevine breeding wide field view partial least squares-discriminant analysis spiking area frame sampling chromium content machine-learning RGB-D sensor pest scouting PLS Capsicum annuum spatial-temporal model drying temperature boron tolerance ambient intelligence laser wavelength fuzzy logic dynamic weight landslide management zones real-time processing event detection crop monitoring apple shelf-life rice field monitoring wireless sensor birth sensor proximal sensor |
| ISBN | 3-03897-413-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346859003321 |
|
Moshou Dimitrios
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sensors in Agriculture . Volume 2
| Sensors in Agriculture . Volume 2 |
| Autore | Moshou Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (354 p.) |
| Soggetto non controllato |
optical sensor
spectral analysis response surface sampling sensor evaluation electromagnetic induction multivariate water quality parameters mandarin orange crop inspection platform SPA-MLR object tracking feature selection simultaneous measurement diseases genetic algorithms processing of sensed data electrochemical sensors thermal image ECa-directed soil sampling handheld recognition patterns salt concentration clover-grass bovine embedded hardware weed control soil field crops vineyard connected dominating set water depth sensors SS-OCT wheat striped stem-borer silage geostatistics detection NIR hyperspectral imaging electronic nose machine learning virtual organizations of agents packing density data validation and calibration dataset Wi-SUN temperature sensors geoinformatics gas sensor X-ray fluorescence spectroscopy vegetable oil photograph-grid method Vitis vinifera WSN distribution algorithms laser-induced breakdown spectroscopy irrigation quality assessment energy efficiency wireless sensor network (WSN) geo-information Fusarium texture features weeds discrimination big data soil moisture sensors meat spoilage land cover stereo imaging near infrared sensors biological sensing compound sensor pest management moisture plant localization heavy metal contamination artificial neural networks spectral pre-processing moisture content apparent soil electrical conductivity data fusion semi-arid regions smart irrigation back propagation model wireless sensor network energy balance light-beam fluorescent measurement agriculture precision agriculture deep learning spectroscopy hulled barely dielectric probe RPAS water supply network rice leaves mobile app gradient boosted machines hyperspectral camera one-class nitrogen LiDAR total carbon chemometrics analysis rice agricultural land on-line vis-NIR measurement CARS obstacle detection stratification neural networks regression estimator Kinect proximity sensing distributed systems pest noninvasive detection texture feature soil mapping classification soil salinity visible and near-infrared reflectance spectroscopy germination computer vision hyperspectral imaging diffusion dielectric dispersion UAS random forests case studies total nitrogen thermal imaging cameras dry matter composition near-infrared salt tolerance deep convolutional neural networks soil type classification water management preprocessing methods wireless sensor networks (WSN) remote sensing image classification precision plant protection radar spatial variability GF-1 satellite plant disease naked barley leaf area index CIE-Lab change of support radiative transfer model 3D reconstruction plant phenotyping vine near infrared vegetation indices remote sensing greenhouse time-series data scattering sensor crop area speckle spatial data grapevine breeding wide field view partial least squares-discriminant analysis spiking area frame sampling chromium content machine-learning RGB-D sensor pest scouting PLS Capsicum annuum spatial-temporal model drying temperature boron tolerance ambient intelligence laser wavelength fuzzy logic dynamic weight landslide management zones real-time processing event detection crop monitoring apple shelf-life rice field monitoring wireless sensor birth sensor proximal sensor |
| ISBN | 3-03897-745-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346858903321 |
|
Moshou Dimitrios
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries
| Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries |
| Autore | Murayama Yuji |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (304 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
LST
urban-rural gradient sub-Saharan region Addis Ababa Ethiopia cellular automata spatial layout transportation infrastructure LUCC spatial patterns spatial differences DMSP-OLS China India landscape pattern industrial rural area rural landscape landscape ecology southern Jiangsu land use and cover land surface temperature built-up land agricultural land gradient analysis Nuwara Eliya Sri Lanka urban public space environment check-in data social media platform point of interest urbanization GIS urban development zones urban sustainability regression analysis GWR fragmentation non-agricultural conversion of rural land urban green space RSEI remote sensing ecological status dynamic motoring Pingtan Island urban land expansion spatial pattern driving forces Pearl River Delta urban agglomeration urban heat island impervious surface area biophysical composition index coastal city Xiamen surface urban heat island MODIS land cover habitat quality spatiotemporal analysis Yangtze River Delta Urban Agglomeration urban planning LULC change transition matrix systematic transition Blantyre city life quality index (LQI) Kandy city AHP MCDM COVID-19 pandemic environmental quality PM10 concentration |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557577103321 |
|
Murayama Yuji
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sustainable Land Management and Ecosystem Services in Agroforestry Systems
| Sustainable Land Management and Ecosystem Services in Agroforestry Systems |
| Autore | Quevedo Jay Mar D |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (192 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
urban beekeeping
regulations barrier setback 3D laser scanner remote sensing fence location organic agriculture environment-friendly agriculture regression tree attitude motivation satisfaction property rights ecological property rights forestry investment farmers' behavior reservoir confluence area subjective wellbeing community perceptions urban gardening Indonesia COVID-19 evidence-based policymaking agricultural land forests consensus building Japan collective forest rights land tenure reform forestland investment public welfare forest land migration drought tolerant breeds adaptation relief grants policy intervention smallholder livestock farmers agricultural urban rice-fish farming biodiversity education experience museum land use land cover temporal and spatial change ecosystem assessment GIS northeast forest belt agroecosystem services alpine areas extensive livestock farming stakeholder participation focus group water resources water framework directive |
| ISBN | 3-0365-5490-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639984803321 |
|
Quevedo Jay Mar D
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
