Extracting hot spots from satellite data

Hideyuki Kawashima, Chunyong Wang, Hiroyuki Kitagawa

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

Abstract

With the advances of sensing technologies, massive amount of scientific data have been collected and analyzed in these days. LSST generates 20 TB per night, LHC generates 15 PB per year, and an earth observation satellite sensor data related to GEO-Grid [1] has generated more than 170 TB so far. ASTER sensor data are high resolution image data provided GEO-Grid.

Original languageEnglish
Title of host publicationScientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Proceedings
Pages581-586
Number of pages6
DOIs
Publication statusPublished - 2012 Jul 9
Externally publishedYes
Event24th International Conference on Scientific and Statistical DatabaseManagement, SSDBM 2012 - Chania, Crete, Greece
Duration: 2012 Jun 252012 Jun 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7338 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other24th International Conference on Scientific and Statistical DatabaseManagement, SSDBM 2012
CountryGreece
CityChania, Crete
Period12/6/2512/6/27

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kawashima, H., Wang, C., & Kitagawa, H. (2012). Extracting hot spots from satellite data. In Scientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Proceedings (pp. 581-586). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7338 LNCS). https://doi.org/10.1007/978-3-642-31235-9_39