Air Quality Research Using Remote Sensing |
Autore | Costa Maria João |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (190 p.) |
Soggetto topico |
Research & information: general
Meteorology & climatology |
Soggetto non controllato |
tropospheric NO2 concentrations
nitrogen dioxide OMI spatio-temporal trends DBEST PolyTrend time-series analysis breakpoint detection air pollution TROPOMI COVID nitrogen oxides satellite-based NO2 land use regression exposure assessment carbon monoxide COVID-19 China surface concentration IASI drone UAV gas sensors odour industrial emissions mapping environmental monitoring aerosol optical depth CAMS machine learning MODIS urban form PM2.5 landscape metrics geographically weighted regression Yunnan Plateau biomass burning cross-border transport WRF-Chem formaldehyde trend satellite monitor annual seasonal temperature meteorology AOD Europe open data |
ISBN | 3-0365-5894-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910639989803321 |
Costa Maria João | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Applied Cognitive Sciences |
Autore | Kovari Attila |
Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
Descrizione fisica | 1 electronic resource (292 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
computer adaptive testing
code tracing basic programming skills internet of thing (IoT) eye tracking heart rate (HR) measurements data analysis Internet addiction dysfunctional emotions coping strategies emotional problems human-AI interaction interaction design Kansei engineering user satisfaction voice-based intelligent system dynamic gesture recognition gesture spotting self-organizing map computational psychology computational cognitive modeling machine learning concept blending conceptual combinations recall computational creativity cognition instance selection clustering information processing cognitive aspects remote virtual simulation incident commander user experiences problem solving decision making assessment learning privacy-preserving computations homomorphic encryption EEG signals school children functional vision vision screening vision training eye-tracking stakeholders human-robot interaction social gaze eye-to-eye contact emotional interfaces eye-brain-computer interfaces attention reflection usability brain hemispheric lateralization online educational material instructional design methodology model virtual reality virtual environment stress spaceflight training EEG emotion neural networks M3GP BED Emotiv multiclass deep learning traffic accident spatially prolonged risk Gestalt proximity open data |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910595068903321 |
Kovari Attila | ||
Basel, : MDPI Books, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence-Based Learning Approaches for Remote Sensing |
Autore | Jeon Gwanggil |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (382 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
Soggetto non controllato |
pine wilt disease dataset
GIS application visualization test-time augmentation object detection hard negative mining video synthetic aperture radar (SAR) moving target shadow detection deep learning false alarms missed detections synthetic aperture radar (SAR) on-board ship detection YOLOv5 lightweight detector remote sensing image spectral domain translation generative adversarial network paired translation synthetic aperture radar ship instance segmentation global context modeling boundary-aware box prediction land-use and land-cover built-up expansion probability modelling landscape fragmentation machine learning support vector machine frequency ratio fuzzy logic artificial intelligence remote sensing interferometric phase filtering sparse regularization (SR) deep learning (DL) neural convolutional network (CNN) semantic segmentation open data building extraction unet deeplab classifying-inversion method AIS atmospheric duct ship detection and classification rotated bounding box attention feature alignment weather nowcasting ResNeXt radar data spectral-spatial interaction network spectral-spatial attention pansharpening UAV visual navigation Siamese network multi-order feature MIoU imbalanced data classification data over-sampling graph convolutional network semi-supervised learning troposcatter tropospheric turbulence intercity co-channel interference concrete bridge visual inspection defect deep convolutional neural network transfer learning interpretation techniques weakly supervised semantic segmentation |
ISBN | 3-0365-6084-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910639984703321 |
Jeon Gwanggil | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Connecting the Knowledge Commons — From Projects to Sustainable Infrastructure : The 22nd International Conference on Electronic Publishing – Revised Selected Papers / / Leslie Chan, Pierre Mounier |
Autore | Aguado-López Eduardo |
Pubbl/distr/stampa | Marseille, : OpenEdition Press, 2019 |
Descrizione fisica | 1 online resource (182 p.) |
Altri autori (Persone) |
AlbagliSarita
AlbornozDenisse AngelovaMilena AntonovaVictoria Becerril-GarcíaArianna BoevaVeselka CaladoPável ChanLeslie ChenGeorge ClinioAnne ErnstElisabeth FonsecaFelipe FreireNuno HillyerRebecca LavessonNiklas LindePeter MacGregorJames Manasa DevagiriVishnu MartinsBruno OkuneAngela OwenBrian Pablo AlperinJuan ParinovSergey ParraHenrique Z.M PosadaAlejandro SmecherAlec StranackKevin WillinskyJohn MounierPierre |
Soggetto topico |
Information Science & Library Science
inclusive knowledge infrastructures institutional repository open access open data open science research infrastructure electronic publishing knowledge production knowledge common sustainability |
Soggetto non controllato |
institutional repository
open access open science electronic publishing inclusive knowledge infrastructures knowledge common research infrastructure knowledge production open data sustainability |
ISBN | 979-1-03-653802-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Connecting the Knowledge Commons — From Projects to Sustainable Infrastructure |
Record Nr. | UNINA-9910324950903321 |
Aguado-López Eduardo | ||
Marseille, : OpenEdition Press, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Earth observation open science and innovation / / edited by Pierre-Philippe Mathieu, Christoph Aubrecht |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Springer Nature, 2018 |
Descrizione fisica | 1 online resource (VIII, 332 p.) : 116 illus., 111 illus. in color |
Disciplina | 550 |
Collana | ISSI Scientific Report Series |
Soggetto topico |
Earth sciences
Big data Remote sensing Environmental management Space sciences |
Soggetto non controllato |
science in society
data science open innovation citizen science open data crowdsourced geospatial data geospatial analytics big earth data |
ISBN | 3-319-65633-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Foreword -- Contents -- Part I Join the Geo Revolution -- The Changing Landscape of Geospatial Information Markets -- Introduction -- Rise of the Platforms -- Data as a Service -- Open Data Policies -- New Business Models -- Sensor Use Growing -- Crowdsourcing -- Disruptive Innovation -- Cloud Computing -- Business Models in Cloud Computing -- Microsoft Azure -- Amazon Web Services (AWS) -- Google Cloud Platform -- Conclusion -- References -- The Digital Transformation of Education -- Case Study: How the World Bank Group's Open Learning Campus is Partnering with Earth Observation Satellite Data to Enrich the Learning Experience -- -- Learning as an Accelerator to Achieve Development Goals -- Progress of the OLC so Far -- Flexible Pathways to Learning -- Increasing Importance of Geospatial Data -- Examples of How the OLC is Incorporating Spatial Data -- Issues Relevant to This Experience for the Earth Observation Community -- Case Study Conclusion -- References -- The Open Science Commons for the European Research Area -- Creating the European Research Area: The "Open" Approach -- Problems to Solve -- Lack and/or Incomplete Roadmaps for Research- and e-Infrastructures -- Fragmented Solutions and Policies for Access to Data and Knowledge -- Insufficient Cooperation Between Public and Private Sector -- Lack of National and European Organization Between All Stakeholders -- Many Providers Without a Single Market -- The Open Science Commons -- The European Open Science Cloud -- Open Science Commons for the EOSC -- EOSC Architecture and Services -- Realizing a Federated Approach to Research Data -- Offering of Scalable Access to and Analysis of Research Data for Reuse -- Integrating (Shared) Tools and Applications -- Provisioning of Services for Depositing Data for Resource-Bound Users -- EOSC Service Integration and Management.
EOSC Governance -- EOSC and the e-Infrastructure Commons -- The EGI Blueprint -- Core Infrastructure Platform -- Collaborative Platform -- The EGI Federated Cloud -- The Data Hub and the Open Data Platform -- EO Data Exploitation via the e-Infrastructures and EOSC -- Infrastructure Services for EO Data Exploitation -- An Example: e-Infrastructure Services to Implement the ESA Generic Exploitation Platform Open Architecture -- An Example: Integration of the Geohazard Exploitation Platform Within the EGI Infrastructure -- Conclusions -- References -- Citizen Science for Observing and Understanding the Earth -- Introduction -- Societal and Technological Trends -- Citizen Science Today: Main Areas of Activity -- Citizen Science Across Domains: Long-Running Citizen Science -- The Impact of Technology: Citizen Cyberscience -- Depth of Participation: Community Science -- Citizen Science and Earth Observation: Technical, Societal, Ethical and Policy Aspects -- Technical Aspects -- Societal and Ethical Aspects -- Citizen Science Integration into Policy -- Conclusions -- References -- Part II Enabling Data Intensive Science -- Fostering Cross-Disciplinary Earth Science Through DatacubeAnalytics -- Introduction -- Standards-Based Modelling of Datacubes -- Coverage Data Model -- Web Coverage Service -- Web Coverage Processing Service -- The Role of Standards -- Science Data Services -- Earth Observation Data Services -- Marine Science Data Service -- Climate Science Data Service -- Planetary Science Data Service -- Cross-Service Federation Queries -- Datacube Analytics Technology -- Array Databases as Datacube Platform -- Array Storage -- Array Processing -- Tool Integration -- The Role and Handling of Metadata -- Virtual Globes as Datacube Interfaces -- Related Work -- Conclusion and Outlook -- References. Mind the Gap: Big Data vs. Interoperability and Reproducibility of Science -- Introduction: the Big Data Paradox -- It's All in the Framing! -- Towards Open (Shared) Knowledge -- The GEOSS Case -- Big Data Infrastructure Services: The GEOSS Common Infrastructure (GCI) Big Data Strategy -- Content Harmonization and Information/Knowledge Generation: The Brokering Framework -- The Brokering framework -- The DAB -- More (Value) knowledge to reduce Volume -- From Data to Knowledge: the GEOSS Knowledge Base and High-Performance Data Analytics -- The DIKW pattern -- The GEOSS Knowledge Base -- High-Performance Analytics and GEOSS -- Conclusions -- References -- Cyber-Infrastructure for Data-Intensive Geospatial Computing -- Introduction -- Settlement Mapping Tool (SMTOOL) -- Toolbox for Urban Mobility Simulations (TUMS) -- Global Dataset -- Framework -- OD Tables -- Resolution -- Unified Network and Population Database -- Big Data -- Urban Information System (UrbIS) -- Leveraging Big Data to Understand Urban Impact on Environment and Climate -- Conclusions -- References -- Machine Learning Applications for Earth Observation -- Introduction -- What Is Machine Learning? -- Some Existing Machine Learning Applications -- Machine Learning for Bias Correction and Cross Calibration -- Vegetation Indices -- Space-Based Measurements of HCl Relevant for Ozone Depletion -- HCl and Cly Time Series -- Bias Correction of MODIS Aerosol Optical Depth -- Data Description -- Machine Learning AOD Bias Correction -- Machine Learning for New Product Creation -- Airborne Particulates -- Tracer Correlations -- Reconstructing CH4-N2O Correlations -- Pollen Estimation -- Predicting Pollen Abundance -- Using Machine Learning for Ocean Data Products -- Dust Source Identification Using Unsupervised Classification -- Bolivia and Chile Salt Flats Dust Event. Bodélé Depression Dust Event -- Characterizing Pelagic Habitats Within Coastal Waters -- Fish Catch and SOM Classes -- Some Likely Future Machine Learning Applications -- Hyper-Spectral Imaging and Machine Learning for Real Time Embedded Processing and Decision Support -- Oil Spills -- Summary -- References -- New Generation Platforms for Exploration of CrowdsourcedGeo-Data -- Introduction -- Virtual Globes as the New Generation Visualization Platforms -- Virtual Globes for the Exploration of Crowdsourced Geo-Data -- Applications -- PoliCrowd -- Open Data Kit (ODK) -- NASA World Wind Java SDK -- System Architecture -- Overview of Functionalities -- Telecommunication Data Viewer -- The netCDF Data Format -- EST-WA: A Multidimensional Data Viewer -- Application of EST-WA to Explore Geo-Crowdsourced Data -- Conclusions -- References -- Part III Use Cases Open Science and Innovation -- Mapping Land Use Dynamics Using the Collective Powerof the Crowd -- Concept and Context -- The Collective Power of the Crowd -- VGDI Access and Integration: The Foursquare Use Case -- What Is Next and Where Are We Headed? -- References -- The Emergence of the GeoSharing Economy -- GeoSharing Platform Requirements -- Technical Access -- Commercial and Legal Access -- Reference -- Sustainable Agriculture and Smart Farming -- Multi-Year Site-Characterization of Fields Using Advanced Data Harvesting Techniques -- Up-to-Date Crop Status Using Access to Satellite Data in Near-Real-Time -- Conclusions and Outlook -- References -- Earth Observation Data for Enterprise Business Applications -- Development of an Earth Observation Cloud Platform in Support to Water Resources Monitoring -- Introduction -- EODC: The Earth Observation Data Centre for Water Resources Management -- Pilot Services -- Closing Remarks -- References -- Putting Big Data Innovation into Action for Development. Tracking Light from the Sky: Monitoring Rural Electrification from Space -- Tracking Poverty from Space -- Satellite-Based Yield Measurement -- Conclusion -- Mapping Floods and Assessing Flood Vulnerability for Disaster Decision-Making: A Case Study Remote Sensing Applicationin Senegal -- Introduction -- Why Senegal? An Example of the Critical Information Gap in Disaster Management -- Socio-Physical Vulnerability to Flooding to Senegal -- Using Big Data Information in Disaster Management -- The Future of This Approach Globally and Locally as a Practical Tool -- Conclusion -- References -- Earth Observation and Geospatial Implementation: Fueling Innovation in a Changing World -- Earth Observation Scientific Data Access, Discovery, and Challenges -- How Are Maps and Earth Observation Data Transforming Our World? -- Delivering Geospatial Data and Information Products with Web GIS -- Esri and Big Data -- Notable Solutions and Capabilities -- Conclusion -- References -- Artificial Intelligence and Earth Observation to Explore Water Quality in the Wadden Sea -- Introduction -- Inductive Learning -- Data Description -- Methods -- Results and Discussion -- Conclusions -- References -- Erratum to: Citizen Science for Observing and Understanding the Earth -- Index. |
Record Nr. | UNINA-9910293145903321 |
Springer Nature, 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Il fenomeno open data : Indicazioni e norme per un mondo di dati aperti |
Autore | Ragone Morena |
Pubbl/distr/stampa | Milano, : Ledizioni, 2016 |
Descrizione fisica | 1 online resource (102 p.) |
Altri autori (Persone) | AliprandiSimone |
Soggetto topico |
Information Science & Library Science
Multidisciplinary accesso aperto open access open source open content rivoluzione digitale open data digital revolution révolution numérique revolución digital |
Soggetto non controllato |
open content
open access open source digital revolution open data |
ISBN | 88-6705-365-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Altri titoli varianti | Il fenomeno open data |
Record Nr. | UNINA-9910166659903321 |
Ragone Morena | ||
Milano, : Ledizioni, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Future Intelligent Systems and Networks 2019 |
Autore | de Pablos Heredero Carmen |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (100 p.) |
Soggetto topico | Film, TV & radio |
Soggetto non controllato |
polymediation
YouTube YouTubers audio-visual genre SocialBlade elRubius features prediction sentiment analysis LSTM open data open innovation literature review authors journals knowledge areas methodological characteristics tax fraud neural networks intelligent systems and networks personal income tax prediction football clubs webs digital communication marketing engagement digital transformation innovation in communication models, prediction |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557784003321 |
de Pablos Heredero Carmen | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Knowledge Manageation and Big Data: Implications for Sustainability, Policy Making and Competitiveness |
Autore | Lytras Miltiadis |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (416 p.) |
Soggetto non controllato |
knowledge assets
social capital MTurk hybrid neural networks education knowledge specificity innovation capability taxonomy mechanical patent classification patent analysis universities knowledge mapping patent association analysis co-citation network human capital investment cloud data governance risk perception project-based organization corporate sustainability crowdsourcing Big Data smart education international technological collaboration social network analysis big data analysis collaboration network six sigma conceptual maturity model NLP RDF IC manufacturing Jordan innovation human capital visualizing holistic systematic review open data personalized business mode process innovation capability sustainable competitive advantage knowledge embeddedness quality orientation of employees-QOE multi-dimensional data model knowledge sharing keywords analysis emerging trends intellectual structure administrative procedure business intelligence disruptive innovation citizen-scientist bibliometric communication big data climate change big data environment text structure P-PLAN knowledge creation top management team sustainability transformational training programs-TTP sustainable development text feature extraction technological information knowledge creation process data governance key performance indicators technology-enhanced learning process PROV-O training knowledge management absorptive capacity provenance leadership strategic decision-making text mining cloud computing technology acceptance model linked data social media structural equation model internal social networks data analysis social networks product innovation capability innovation performance heterogeneous architectures administrative file new ventures competitive advantage user acceptance employee loyalty-EL ontology design |
ISBN | 3-03928-009-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Knowledge Manageation and Big Data |
Record Nr. | UNINA-9910367735703321 |
Lytras Miltiadis | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Livre blanc : une science ouverte dans une République numérique / / Direction de l’Information Scientifique et Technique - CNRS |
Autore | Direction de l’Information Scientifique et Technique - CNRS |
Pubbl/distr/stampa | OpenEdition Press, 2016 |
Descrizione fisica | 1 online resource (195 pages) : illustrations; digital, PDF file(s) |
Soggetto topico |
Open access
Open data |
Soggetto non controllato |
open access
open science open data |
ISBN | 9782821868694 (ebook) |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | fre |
Record Nr. | UNINA-9910136793503321 |
Direction de l’Information Scientifique et Technique - CNRS | ||
OpenEdition Press, 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Livre blanc — Une Science ouverte dans une République numérique — Guide stratégique : Études et propositions en vue de l’application de la loi / / Direction de l’Information Scientifique et Technique - CNRS |
Autore | Direction de l’Information Scientifique et Technique - CNRS |
Pubbl/distr/stampa | Marseille, : OpenEdition Press, 2017 |
Altri autori (Persone) | FabreRenaud |
Soggetto topico |
Humanities, Multidisciplinary
open access open data open science |
Soggetto non controllato |
open access
open science open data |
ISBN | 2-8218-7842-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | fre |
Record Nr. | UNINA-9910161654803321 |
Direction de l’Information Scientifique et Technique - CNRS | ||
Marseille, : OpenEdition Press, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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