A5048320054- Geographic Information Systems Studies
- Flood Risk Assessment and Management
- Data Management and Algorithms
- Hydrology and Watershed Management Studies
- 3D Surveying and Cultural Heritage
- Semantic Web and Ontologies
- Advanced Computational Techniques and Applications
- Advanced Database Systems and Queries
- Human Mobility and Location-Based Analysis
- Climate change impacts on agriculture
- Seismology and Earthquake Studies
- Geological and Geophysical Studies
- Disaster Management and Resilience
- earthquake and tectonic studies
- Traffic Prediction and Management Techniques
- Remote Sensing and LiDAR Applications
- Transportation Planning and Optimization
- Precipitation Measurement and Analysis
- Tropical and Extratropical Cyclones Research
- Computational Geometry and Mesh Generation
- Remote Sensing in Agriculture
Wuhan University
2019-2023
The benefits of geospatial technologies in disaster management have reached a consensus the international community. However, immediate integration and orchestration rich resources (data, algorithms, computing resources, etc.) an emergency remain challenging due to four gaps: encoding gap, source knowledge network gap. Aiming bridge "resource islands", we propose service-oriented collaborative approach decision support by integrating task chain as domain into distributed environment. Data...
Data management and analysis are challenging with big Earth observation (EO) data. Expanding upon the rising promises of data cubes for analysis-ready EO data, we propose a new geospatial infrastructure layered over cube to facilitate analysis. Compared previous work on cubes, proposed infrastructure, GeoCube, extends capacity multi-source vector raster GeoCube is developed in terms three major efforts: formalize dimensions process query along these dimensions, organize high-performance...
Airborne platforms have been improved in the past decade to provide geographic information systems (GISs) with large-scale 3D geographical information. Objectification of such organized meshes is a significant challenge for GISs. The ground filtering key step meeting this challenge, however, its accuracy highly affected by negative blunders and unbalanced vertex density. This paper proposes novel method differentiating geometric primitives from realistic based on cloth simulation filter....
Taxi demand forecasting plays an important role in ride-hailing services. Accurate taxi can assist companies pre-allocating taxis, improving vehicle utilization, reducing waiting time, and alleviating traffic congestion. It is a challenging task due to the highly non-linear complicated spatial-temporal patterns of data. Most existing methods lack ability capture dynamic dependencies among regions. They either fail consider limitations Graph Neural Networks or do not efficiently long-term...
To overcome the high cost of learning, non-visual operation, and cumbersome steps fine-tuning map elements in Generic Mapping Tools (GMT) other geoscience mapping softwares, we present Tectonic Geodesy Application (TGA), a user-friendly 64-bit tectonic geodesy software based on secondary development interface open source geographic information system QGIS. In this paper, detailly introduce architecture function modules our software, highlight functions rendering decoration through four...
Natural disaster response and assessment are key elements of natural hazard monitoring risk management. Currently, the existing systems not able to meet specific needs many regional stakeholders worldwide; traditional approaches with field surveys labor-intensive, time-consuming, expensive, especially for severe disasters that affect a large geographic area. Recent studies have demonstrated Earth observation (EO) data technologies provide powerful support emergency response. However,...
The big data is characterized by challenges on variety, volumes, velocity etc. Recent advocate of cube in the Earth observation (EO) domain has shown great promise to provide analysis ready for remote sensing applications. It possible develop a geospatial infrastructure layered incorporating uniform analysis-ready multidimensional structure and exploiting its usage connecting EO analytics OLAP (Online Analytical Processing), thus enabling multi-source accommodating both location-based...
With the capability to penetrate cloud cover in extreme weather conditions, Synthetic Aperture Radar (SAR) is more suitable for flood mapping comparison optical sensor. In this paper, we develop a series of processing operators covering steps using Sentinel-1 Ground Range Detected (GRD) images. Operators are published as OGC WPS services facilitate interoperability and further chained geo-processing workflow automatic mapping. The includes five steps: data access, preprocessing, detection,...
Flood is one of the most influential natural disasters. An accurate and rapid flood mapping critical for an effective emergency response. Synthetic aperture radar (SAR) important in terms its ability to image Earth's surface regardless weather conditions time. Sentinel-l currently only free SAR constellation operation. Its high spatial-temporal resolution provides support SAR-based monitoring. However, previous approaches have limited applicability detect floods mixed pixels. To overcome...
Using virtual constellations to combine data from multiple satellites has become increasingly important for continuous monitoring of the Earth's surface and environment. However, there is still a lack mechanism effectively collect promote these constellations, limiting applicability reutilization remote sensing sources. This paper proposes an ontology-based approach including providing domain knowledge representation, standardization, semantic integration manage improve utilization...