A Big Earth Data platform exploiting transparent multimodal parallelization

Kwo Sen Kuo, Yu Pan, Feiyu Zhu, Jin Wang, Michael L. Rilee, Hongfeng Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A Big Earth Data platform has been constructed based on a parallel distributed database management system, SciDB, to demonstrate visual analytics with interactive animation on diverse datasets. This high-performing capability is achieved by exploiting transparent multimodal parallelization, largely enabled by a unifying indexing scheme, STARE, that provides unparalleled variety scaling. Such a platform not only supports effortless interactive data exploration and analysis but also has the potential to systemize machine learning undertakings with diverse and voluminous Earth Science data.

Original languageEnglish (US)
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6532-6535
Number of pages4
ISBN (Electronic)9781538671504
DOIs
StatePublished - Oct 31 2018
Event38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: Jul 22 2018Jul 27 2018

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2018-July

Conference

Conference38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
CountrySpain
CityValencia
Period7/22/187/27/18

Fingerprint

Earth sciences
Animation
Learning systems
Earth (planet)
Earth science

Keywords

  • Big data
  • Machine learning
  • Visual analytics

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Kuo, K. S., Pan, Y., Zhu, F., Wang, J., Rilee, M. L., & Yu, H. (2018). A Big Earth Data platform exploiting transparent multimodal parallelization. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 6532-6535). [8518304] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2018.8518304

A Big Earth Data platform exploiting transparent multimodal parallelization. / Kuo, Kwo Sen; Pan, Yu; Zhu, Feiyu; Wang, Jin; Rilee, Michael L.; Yu, Hongfeng.

2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 6532-6535 8518304 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kuo, KS, Pan, Y, Zhu, F, Wang, J, Rilee, ML & Yu, H 2018, A Big Earth Data platform exploiting transparent multimodal parallelization. in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8518304, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 6532-6535, 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 7/22/18. https://doi.org/10.1109/IGARSS.2018.8518304
Kuo KS, Pan Y, Zhu F, Wang J, Rilee ML, Yu H. A Big Earth Data platform exploiting transparent multimodal parallelization. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 6532-6535. 8518304. (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2018.8518304
Kuo, Kwo Sen ; Pan, Yu ; Zhu, Feiyu ; Wang, Jin ; Rilee, Michael L. ; Yu, Hongfeng. / A Big Earth Data platform exploiting transparent multimodal parallelization. 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 6532-6535 (International Geoscience and Remote Sensing Symposium (IGARSS)).
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