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

Fingerprint

Hot Spot
Satellites
Sensors
Image resolution
Earth (planet)
ASTER
Grid
Earth Observation
Sensor
Sensing
High Resolution

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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

Extracting hot spots from satellite data. / Kawashima, Hideyuki; Wang, Chunyong; Kitagawa, Hiroyuki.

Scientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Proceedings. 2012. p. 581-586 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7338 LNCS).

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

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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7338 LNCS, pp. 581-586, 24th International Conference on Scientific and Statistical DatabaseManagement, SSDBM 2012, Chania, Crete, Greece, 12/6/25. https://doi.org/10.1007/978-3-642-31235-9_39
Kawashima H, Wang C, Kitagawa H. Extracting hot spots from satellite data. In Scientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Proceedings. 2012. p. 581-586. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-31235-9_39
Kawashima, Hideyuki ; Wang, Chunyong ; Kitagawa, Hiroyuki. / Extracting hot spots from satellite data. Scientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Proceedings. 2012. pp. 581-586 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{c9e41a14af22495a864c79fde36a0c04,
title = "Extracting hot spots from satellite data",
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.",
author = "Hideyuki Kawashima and Chunyong Wang and Hiroyuki Kitagawa",
year = "2012",
month = "7",
day = "9",
doi = "10.1007/978-3-642-31235-9_39",
language = "English",
isbn = "9783642312342",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "581--586",
booktitle = "Scientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Proceedings",

}

TY - GEN

T1 - Extracting hot spots from satellite data

AU - Kawashima, Hideyuki

AU - Wang, Chunyong

AU - Kitagawa, Hiroyuki

PY - 2012/7/9

Y1 - 2012/7/9

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84863497640&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863497640&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-31235-9_39

DO - 10.1007/978-3-642-31235-9_39

M3 - Conference contribution

AN - SCOPUS:84863497640

SN - 9783642312342

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 581

EP - 586

BT - Scientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Proceedings

ER -