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Volumn 2015-November, Issue , 2015, Pages 838-841

Using big geospatial data for fast flood detection: Developments from the IQmulus project

Author keywords

Big Data; distributed computing; flood detection

Indexed keywords


EID: 84962559112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2015.7325895     Document Type: Conference Paper
Times cited : (4)

References (7)
  • 1
    • 84937970764 scopus 로고    scopus 로고
    • AEGIS-A state-of-the-art spatio-temporal framework for education and research
    • OSGeo Foundation, Beaverton, Oregon, USA, 13
    • R. Giachetta, "AEGIS-A state-of-the-art spatio-temporal framework for education and research", OSGeo Journal, OSGeo Foundation, Beaverton, Oregon, USA, 13, pp. 68-77, (2014).
    • (2014) OSGeo Journal , pp. 68-77
    • Giachetta, R.1
  • 5
    • 0034039391 scopus 로고    scopus 로고
    • Topology in raster and vector representation
    • Springer-Verlag, Berlin, Heidelberg, Germany
    • S. Winter and A. Frank, "Topology in Raster and Vector Representation", GeoInformatica, Springer-Verlag, Berlin, Heidelberg, Germany, 4 (1), pp. 35-65 (2000).
    • (2000) GeoInformatica , vol.4 , Issue.1 , pp. 35-65
    • Winter, S.1    Frank, A.2
  • 6
    • 69049121500 scopus 로고    scopus 로고
    • Experiences on processing spatial data with mapreduce
    • Springer-Verlag, Berlin, Heidelberg, Germany
    • A. Cary, Z. Sun, V. Hristidis and N. Rishe, "Experiences on Processing Spatial Data with MapReduce", Lecture Notes in Computer Science, Springer-Verlag, Berlin, Heidelberg, Germany, 5566, pp. 302-319 (2009).
    • (2009) Lecture Notes in Computer Science , vol.5566 , pp. 302-319
    • Cary, A.1    Sun, Z.2    Hristidis, V.3    Rishe, N.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.