Geospatial Data Discovery, Management, and Analysis at National Aeronautics and Space Administration (NASA)

Manzhu Yu, Min Sun

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The 21st century is experiencing simultaneous changes in global population, urbanization, and climate. These changes, along with the rapid growth of geospatial data and increasing popularity of data discovery, access, and analytics techniques, lead to the promising future of innovation and achievements in geospatial and spatiotemporal thinking, computing, and application. However, big geospatial data bring forth challenges that require the cutting-edge science and technology to address. In this chapter, we highlight some of the characteristics and challenges in geospatial and spatiotemporal data discovery, management, processing, and analytics, and provide solutions based on recent research achievements as case studies. These study cases provide concrete examples of challenges faced when handling geospatial and spatiotemporal big data and the potential solutions in high level of accuracy, interoperability, and scalability.

Original languageEnglish (US)
Title of host publicationFederal Data Science
Subtitle of host publicationTransforming Government and Agricultural Policy Using Artificial Intelligence
PublisherElsevier Inc.
Pages177-191
Number of pages15
ISBN (Electronic)9780128124444
ISBN (Print)9780128124437
DOIs
StatePublished - Jan 1 2018

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Yu, M., & Sun, M. (2018). Geospatial Data Discovery, Management, and Analysis at National Aeronautics and Space Administration (NASA). In Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence (pp. 177-191). Elsevier Inc.. https://doi.org/10.1016/B978-0-12-812443-7.00011-9