A framework for moving sensor data query and retrieval of dynamic atmospheric events

Shen Shyang Ho, Wenqing Tang, W. Timothy Liu, Markus Schneider

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

4 Scopus citations

Abstract

One challenge in Earth science research is the accurate and efficient ad-hoc query and retrieval of Earth science satellite sensor data based on user-defined criteria to study and analyze atmospheric events such as tropical cyclones. The problem can be formulated as a spatio-temporal join query to identify the spatio-temporal location where moving sensor objects and dynamic atmospheric event objects intersect, either precisely or within a user-defined proximity. In this paper, we describe an efficient query and retrieval framework to handle the problem of identifying the spatio-temporal intersecting positions for satellite sensor data retrieval. We demonstrate the effectiveness of our proposed framework using sensor measurements from QuikSCAT (wind field measurement) and TRMM (precipitation vertical profile measurements) satellites, and the trajectories of the tropical cyclones occurring in the North Atlantic Ocean in 2009.

Original languageEnglish (US)
Title of host publicationScientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings
Pages96-113
Number of pages18
DOIs
StatePublished - 2010
Externally publishedYes
Event22nd International Conference on Scientific and Statistical Database Management, SSDBM 2010 - Heidelberg, Germany
Duration: Jun 30 2010Jul 2 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6187 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other22nd International Conference on Scientific and Statistical Database Management, SSDBM 2010
Country/TerritoryGermany
CityHeidelberg
Period6/30/107/2/10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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