Big Earth data are produced from satellite observations, Internet-of-Things, model
simulations, and other sources. The data embed unprecedented insights and spatiotemporal …

Current search engines in most geospatial data portals tend to induce users to focus on one
single-data characteristic dimension (eg popularity and release date). This approach largely …

Cloud computing has become ubiquitous in modern life, and research. Your email is stored
on the cloud and is accessible from anywhere on any smart device. Your music is streamed …

It is challenging to find relevant data for research and development purposes in the
geospatial big data era. One long-standing problem in data discovery is locating …

Finding geospatial data has been a big challenge regarding the data size and heterogeneity
across various domains. Previous work has explored using machine learning to improve …

Discovering and accessing geospatial data presents a significant challenge for the Earth
sciences community as massive amounts of data are being produced on a daily basis. In this …

One longstanding complication with Earth data discovery involves understanding a user's
search intent from the input query. Most of the geospatial data portals use keyword-based …

Finding Earth science data has been a challenging problem given both the quantity of data
available and the heterogeneity of the data across a wide variety of domains. Current search …