Geo-spatial information and technologies in support of EU crisis management

International Journal of Digital Earth

Volumn 3, Issue 1, 2010, Pages 16-30

  Al Khudhairy, Delilah H A ^a  

^a JOINT RESEARCH CENTRE   (Italy)

Author keywords

Crisis management; Geo collaborative technologies; Information extraction and analysis; VHR; Web

Indexed keywords

DATA MINING; INFORMATION RETRIEVAL;

COLLABORATIVE TECHNOLOGIES; COLLABORATIVE WORK; CRISIS MANAGEMENT; EARTH OBSERVATION SENSORS; GEO-SPATIAL INFORMATIONS; INFORMATION SHARING; INFORMATION SOURCES; VERY HIGH RESOLUTION;

DECISION MAKING;

CRISIS MANAGEMENT; DIGITAL MAP; EUROPEAN UNION; GIS; INFORMATION AND COMMUNICATION TECHNOLOGY; SPATIAL ANALYSIS; WORLD WIDE WEB;

EUROPE;

EID: 77957343624     PISSN: 17538947     EISSN: 17538955     Source Type: Journal    
DOI: 10.1080/17538940903506014     Document Type: Article

References (49)

1. Atkinson, M. and Van der Goot, E., 2009. Near real time information mining in multi-ligual news. In: Proceedings of the 18th international world wide web conference (WWW '2009), 20-24 April 2009, Madrid. Association for Computing Machinery, Inc. (ACM), 1153-1154.
2. Atkinson, M., et al, 2008. Online monitoring of security-related events. In: Proceedings of the 22nd international conference on computational linguistics (CoLing '2008), 18-22 August 2008, Manchester, UK. Association for Computational Linguistics: Stroudsburg, 145-148.
3. Balahur, A. and Steinberger, R., 2009. Rethinking sentiment analysis in the news: from theory to practise and back. In: Proceedings of the 1st workshop on opinion mining and sentiment analysis. 13th conference of the Spanish Association for Artificial Intelligence, 13-15 November 2009. Seville, Spain, University of Sevilla, 1-12.
4. Balahur, A., et al, 2009. Summarizing opinions in blog threads. In: The 23rd Pacific Asia conference on language, information and computation, 3-5 December 2009. Hong Kong: City University of Hong Kong Press, 606-613.
5. Boulos, M.N.K. and Burden, D., 2007. Web GIS in practise V: 3-D interactive and real-time mapping in second life. International Journal of Health Geographics, 6, 51.
6. Brunner, D. and Soille, P., 2009. Building shadow extraction in VHR SAR images using mathematical morphology. In: M. Wilkinson and J. Roerdink, eds. 9th international symposium in mathematical morphology, 24-27 August 2009, University of Groningen, The Netherlands, 17-21.
7. Brunner, D., et al., 2009a. Distributed geospatial data processing functionality to support collborative and rapid emergency response. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2 (1), 33-46.
8. Brunner, D., et al., 2008. Analysis of the double bounce scattering mechanism of buildings in polarimatric VHR SAR data. In: Proceedings of SPIE conference on image and signal processing for remote sensing XIV, vol. 7109, 15-18 September, Cardif, Wales. SPIE-The International Society for Optical Engineering, 71090Q-1-71090Q-12.
9. Brunner, D., et al, 2009b. Analysis of the double bounce scattering mechanism for the detection of buildings in VHR SAR data. In: IEEE radar conference-radar: from science to systems, 4-8 May 2009, Pasadena, CA, IEEE (CD ROM).
10. Cai, G., 2005. Extending distributes GIS to support geo-collaborative crisis management. Geographical Information Science, Special Issue on Distributed GIS, 11 (1), 4-14.
11. Community CBRN Security Policy, 2009. Available from: http://europa.eu/rapid/pressReleases Action.do?reference-IP/09/992&format-HTML [Accessed 15 October 2009].
12. Community Public Health Programme. Available from: http://ec.europa.eu/health/ph-programme/programme-en.htm
13. Deiana, A., 2009. Skylineglobe: 3D web GIS solutions for environmental security and crisis management. In: R. De Amicis, R. Stojanovic and G. Conti, eds. GeoSpatial visual analytics: geographical information processing and visual analytics for environmental security. Dordrecht, The Netherlands: Springer, 363-375.
14. Dell'Acqua, F., et al., in press. Definition, advantages and limitations of the anistropic rotation-invariant built-up presence index for SAR data. IEEE Transactions on Geoscience and Remote Sensing.
15. EC Council Reg. 1257/96: Community Instrument for Humanitarian Affairs, 1996. Available from: http://eurlex.europa.eu/smartapi/cgi/sga-doc?smartapi!celexapi!prod!CELEXnumdoc& lg-en&numdoc-31996R1257&model-guichett [Accessed 15 October 2009].
16. EC Council Regs. 381/2001 and 1717/2006. Community Instrument for Stability, 2006. Available from: http://eur-lex.europa.eu/LexUriServ/site/en/oj/2006/l-327/l-32720061124en 00010011.pdf [Accessed 15 October 2009].
17. EC 2005/12/EC OJ L6/7, Community Civil Protection Action Programme, 2005. Available from: http://ec.europa.eu/environment/civil/prote/cp14-en.htm [Accessed 15 October 2009].
18. Ehrlich, D., et al, 2009. Identifying damage caused by the 2008 Wenchuan earthquake fron VHR remote snesing data. International Journal of Digital Earth, 2 (4), 309-326.
19. Foresman, T.W., 2008. The use cases of digital earth. International Journal of Digital Earth, 1 (1), 31-42.
20. GDACS, 2007. Available from: http://www.gdacs.org/documents/20070606%20TIEMS%20Croatia%20De%20Groeve%20GDACS.pdf [Accessed 15 October 2009].
21. GEOSS, 2005. The global earth observation system of systems (GEOSS) 10-year implementation planand reference. Available from: http://earthobservations.org [Accessed 15 October 2009].
22. Goodchild, M.F., 2008. Evolution and implementation of the digital earth vision, technology and society. International Journal of Digital Earth, 1 (1), 4-16.
23. Gore, A., 1998. The digital earth. Available from: www.isde5.org/al-gore-speech.htm [Accessed 15 October 2009].
24. Gueguen, L., et al, 2009. Morphological descriptors and spatial aggregations for characterising damage buildings in very high resolution images. In: ESA-EUSC 2009 image information mining: pursuing automation of geospatial intelligence for environment and security, 3-5 November 2009, Torrejon, Madrid. Frascati, Italy: ESA.
25. Guo, H. and Wang, G., 2003. Digital earth: bridging the scale from global to local for sustainable development. Available from: http://www.millenniumassessment.org/documents/ bridging/papers/huadong.guo.pdf [Accessed 15 October 2009].
26. Linge, J.P. et al., 2009. Internet surveillance systems for early warning of health threats. Eurosurveillance, 14 (13), 1-2.
27. Miao, Q. Deren, L., and Tang, Y., 2008. Research on the progress and direction of digital city. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, XXXVII (Part B4), 97-100.
28. Molch, K., 2008. Geospatial data analysis for security applications at the JRC-challenges opportunities for information mining. In: ESA-EUSC 2008 image information mining: pursuing automation of geospatial intelligence for environment and security, 4-6 March 2008, Madrid, Spain. Frascati, Italy: ESA.
29. Pagot, E. and Pesaresi, M., 2007. Post-conflict urban assessment using image morphological profile on 1-m-resolution satellite data in a fuzzy possibilistic approach. In: G. Zeug and M. Pesaresi, eds. Global monitoring for security and stability (GMOSS)-integrated scientific and technological research supporting security aspects of the European Union-EUR 23033 EN. Ispra, Italy: European Commission, 210-222.
30. Pagot, E. and Pesaresi, M., 2008. Systematic study of the urban post-conflict change classification performance using spectral and structural features in a support vector machine. IEEE Journal of Selected Topics in Earth Observation and Remote Sensing, 2 (2), 120-128.
31. Pagot, E., Pesaresi, M., and Buda, D., 2008. Development of an object-oriented classification model using very high resolution satellite imagery for monitoring diamond mining activity. International Journal Remote Sensing, 29 (2), 449-512.
32. PCNA, 2008. Joint declaration on post-crisis assessments and recovery planning. European Commission United Nations-World Bank. Available from: http://www.undg.org/docs/9419/ trilateral-JD-on-post-crisis-assessments-final.pdf [Accessed 15 October 2009].
33. Pesaresi, M., 2008. Textural analysis of coca plantations using remotely sensed data with resolution of 1 metre. International Journal Remote Sensing, 29 (3), 6985-7002.
34. Pesaresi, M. and Ehrlich, D., 2009. A methodology to quantify built-up structures from optical VHR imagery. In: P. Gamba and M. Herold, eds. Global mapping of human settlement: experience, datasets and prospects. New York: Taylor and Francis, 27-59.
35. Pesaresi, M. and Gerhardinger, A., 2009. Morphological image filtering for improvement of textural built-up index performances in case of presence scattered vegetation in semi-desert areas. In: Proceedings of the 2007 urban remote sensing joint event URBAN2007-URS2007, 11-13 April 2007, Paris, France. Piscataway, NJ: IEEE-Institute of Electrical and Electronics Engineers, 1-8.
36. Pesaresi, M., Gerhardinger, A., and Haag, F., 2007a. Rapid damage assessment of built-up structures using VHR satellite data in tsunami affected area. International Journal Remote Sensing, 28 (13), 3013-3036.
37. Pesaresi, M., Gerhardinger, A., and Kayitakire, F., 2007b. Monitoring settlement dynamics by anisotropic textural analysis of panchromatic VHR data. In: Proceedings of the 2007 urban remote sensing joint event URBAN2007-URS2007, 11-13 April 2007 Paris, France. Piscataway, NJ: IEEE-Institute of Electrical and Electronics Engineers, 1-11.
38. Pesaresi, M., Gerhardinger, A., and Kayitakire, F., 2008. A robust built-up area presence index by anisotropic rotation-invariant textural measure. IEEE Journal of Remote Sensing, 1 (3), 180-192.
39. Pesaresi, M. and Pagot, E., 2007. Post-conflict reconstruction assessment using image morphological profile and fuzzy multicriteria approach on 1-m-resolution satellite data; application test on the Koidu village in Sierra Leone, Africa. In: Proceedings of the 2007 urban remote sensing joint event URBAN2007-URS2007, Paris, France. Piscataway, NJ: IEEE-Institute of Electrical and Electronics Engineers, 1-8.
40. Pezanowski, S., Tomoszewski, B., and MacEachren, A.M., 2007. An open GeoSpatial standards-enabled Google Earth application to support crisis management. In: S. Zlatanova and A.G. Fabri, eds. Geomatics solutions for disaster management. Heidelberg and Berlin: Springer. Lecture notes in geoinformation and cartography.
41. Piskorski, J., Tanev, H., and Oezden Wennerberg, P., 2007. Extracting violent events from online news for ontology population. In: W. Abromowicz, ed. Lecture notes in computer science 4439. Heidelberg and Berlin: Springer-Verlag, 287-300.
42. Pouliquen, B. and Steinberger, R., 2009. Automatic contrsuction of multi-linqual name dictionaries. In: C. Goutte, N. Cancedda, M. Dymetman, and G. Foster, eds. Learning machine translation. Cambridge, MA: MIT Press. Advances in Neural Information Processing System series (NIPS), 59-78.
43. Pouliquen, B., et al, 2006. Geocoding multilingual text recognition, disambiguation and visualisation. In: Proceedings of the 5th international conference on language resources and evaluation (LREC'2006), 24-24 May 2006. Genoa, Italy. Jaen, Spain: Sociedad Española para el Procesamiento del Lenguaje Natural, 53-58.
44. Solana, J., 2003. Security strategy: a secure Europe in a better world. Available from: http://www.consilium.europa.eu/cms3-fo/showPage.asp?id-266&lang-EN [Accessed 15 October 2009].
45. Solana, J., 2008. Climate change and international security. Available from: www.consilium. europa.eu/ueDocs/cms-Data/docs/pressData/en/reports/99387.pdf [Accessed 15 October 2009].
46. Steingberger, R., Pouliquen, B., and Ignat, C., 2008. Using language-independent rules to achieve high multi-linguality in text nining. In: F. Foegelman-Soulie, D. Perrotta, J. Piskorski, and R. Steinberger, eds. Mining massive data sets for security. Amsterdam, The Netherlands: IOS Press, 217-240.
47. S407/08 Report on the Implementation of the European Security Strategy-Providing Security in a Changing World, 2008. Available from: http://www.consilium.europa.eu/ueDocs/ cms-Data/docs/pressdata/EN/reports/104630.pdf [Accessed 15 October 2009].
48. Tanev, H., Piskorski, J., and Atkinson, M., 2008. Real-time event extraction for global crisis monitoring. In: E. Kapetanios, V. Sugumaran and M. Spiliopoulou, eds. Lecture notes for computer science 5039. Heidelberg and Berlin: Springer-Verlag, 207-218.
49. Voigt, S., et al, 2007. Satellite image analysis for disaster and crisis-management support. IEEE Transactions on Geoscience and Remote Sensing, 45 (6), 1520-1528.