Zeqiang Chen

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BACKGROUND Effective environmental data management is meaningful for human health. In the past, environmental data management involved developing a specific environmental data management system, but this method often lacks real-time data retrieving and sharing/interoperating capability. With the development of information technology, a Geospatial Service(More)
Keywords: Active on-demand Data service Event-driven architecture Sensor web MODIS Fire a b s t r a c t Timely on-demand access to geospatial data is necessary for environmental observation and disaster response. However, traditional service methods for acquiring geospatial data are inefficient and cumbersome, which is not beneficial for timely data(More)
Keywords: BigTIFF GDAL WMS WCS On-demand NDVI MODIS a b s t r a c t By applying advanced Geospatial Data Abstraction Library (GDAL) and BigTIFF technology in a Geographical Information System (GIS) with Service Oriented Architecture (SOA), this study has derived global datasets using tile-based input data and implemented Virtual Web Map Service (VWMS) and(More)
Significant economic losses, large affected populations, and serious environmental damage caused by recurrent natural disaster events (NDE) worldwide indicate insufficiency in emergency preparedness and response. The barrier of full life cycle data preparation and information support is one of the main reasons. This paper adopts the method of integrated(More)
Recent advances in Sensor Web geospatial data capture, such as high-resolution satellite imagery and Web-ready data processing and model technologies, have led to the generation of large amounts of datasets from real-time or near real-time observation and measurement. How to find and retrieve the sensor or data complying with criteria such as specific time,(More)
Comprehensive surface soil moisture (SM) monitoring is a vital task in precision agriculture applications. SM monitoring includes remote sensing imagery monitoring and in situ sensor-based observational monitoring. Cloud computing can increase computational efficiency enormously. A geographical web service was developed to assist in agronomic decision(More)