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Experimental data-driven model development for ESP failure diagnosis based on the principal component analysis
The reliable diagnosis of electrical submersible pump (ESP) failure is a vital process for establishing of the optimal production strategies and...
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Earth observation data to strengthen flood resilience: a recent experience from the Irrawaddy River
The improvement of Earth Observation (EO) sensors and modern computational efficiency in the form of cloud analytics platform has made monitoring and...
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Assessment of Maritime Vessel Detection and Tracking Using Integrated SAR Imagery and AIS/V-Pass Data
Many operationally available satellite X-band SAR missions (TerraSAR-X, Kompsat-5, and COSMO-SkyMed) and new missions based on microsatellite...
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TSDSystem: a framework to collect, archive and share time series data at volcanological observatories
This paper presents a framework designed to collect, archive, and share time series data coming from sensor networks at Istituto Nazionale di...
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Urban Heat Island vulnerability map** using advanced GIS data and tools
Urban Heat Island (UHI) is a phenomenon that can cause hotspots in city areas due to dense, impervious infrastructure and minimal vegetation cover....
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An automated prediction of remote sensing data of Queensland-Australia for flood and wildfire susceptibility using BISSOA-DBMLA scheme
In past few decades, there was a tremendous enhancement in natural disaster and their effects on economy and population. An adverse events like...
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Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record (QAR) Data Analysis
As the risks associated with air turbulence are intensified by climate change and the growth of the aviation industry, it has become imperative to...
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Research on Data Governance System of Oil and Gas Field Exploration and Development
Digital transformation is a key factor to improve the efficiency of upstream production companies and accelerate key business decisions in the oil... -
Drilling data quality improvement and information extraction with case studies
Data analytics is a process of data acquiring, transforming, interpreting, modelling, displaying and storing data with an aim of extracting useful...
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Data Analysis and Exploration with Scientific Workflows
Geoscientific data analysis has to face some challenges regarding seamless data analysis chains, reuse of methods and tools, interdisciplinary... -
Application of Sentinel-1 InSAR to monitor tailings dams and predict geotechnical instability: practical considerations based on case study insights
Tailings storage facilities (TSFs) impound mining waste behind dams to ensure public safety, but failure incidents have prompted calls for more...
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Monitoring of rainfall-induced landslides at Songmao and Lushan, Taiwan, using IoT and big data-based monitoring system
This study presents a new landslide monitoring system, which is designed to be cost-effective, robust, flexible, and scalable, aiming for long-term...
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Data-driven modelling with coarse-grid network models
We propose to use a conventional simulator, formulated on the topology of a coarse volumetric 3D grid, as a data-driven network model that seeks to...
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Data Analysis and Exploration with Visual Approaches
A comprehensive study of the Earth system and its related processes requires a holistic examination and understanding of multidimensional data... -
AI-driven reinforced optimal cloud resource allocation (ROCRA) for high-speed satellite imagery data processing
The emergence of cloud computing has brought attention to the broad issue of resource allocation across domains. A thorough and adaptable solution to...
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Towards progressive geospatial information processing on web systems: a case study for watershed analysis in Iowa
Geographic Information Systems (GIS) are available as stand-alone desktop applications as well as web platforms for vector- and raster-based...
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IoT system implementation for real-time concrete strength prediction: experimental design, variance evaluation, cost analysis, and implementation ease
Concrete is one of the most widely used building materials due to its durability and cost-effectiveness. Accurate prediction of its compressive...
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A Practical Approach to Constructing a Geological Knowledge Graph: A Case Study of Mineral Exploration Data
Open data initiatives have promoted governmental agencies and scientific organizations to publish data online for reuse. Research of geoscience...
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Reconstruction of geodetic time series with missing data and time-varying seasonal signals using Gaussian process for machine learning
Seasonal signals in satellite geodesy time series are mainly derived from a number of loading sources, such as atmospheric pressure and hydrological...