Flood mapping and damage assessment - A case study in the state of Indiana

Geospatial Technology for Earth Observation

Volumn , Issue , 2009, Pages 473-495

  Shan, Jie ^a   Hussain, Ejaz ^a   Kim, Kyohyouk ^a   Biehl, Larry ^b  

^a PURDUE UNIVERSITY   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 80053563621     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4419-0050-0_18     Document Type: Chapter

References (8)

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2. Benz, U. C., Hofmann, P., Willhauck, G., Lingenfelder, I. and Heynen, M., 2004. Multiresolution, object-oriented fuzzy analysis of remote sensing data for GIS ready information. Journal of Photogrammetry & Remote Sensing, 58, pp. 239-258
3. Blaschke, T. and Strobl, J., 2001. What's wrong with pixels? Some recent developments interfacing remote sensing and GIS. GeoBIT/GIS, 6, 12-17.
4. Blaschke, T. Lang, S., 2006. Object based image analysis for automated information extraction-a synthesis. Measuring the Earth II ASPRS Fall Conference, 2006, San Antonio, Texas, CDROM
5. Campbell, J. B., 2002. Introduction to remote sensing, 3rd Ed., Guilford Press, New York
6. Corina, A., Simona, O., Emily, B., 2006. MODIS versus ASTER water classification, Spectral Imaging: Eighth International Symposium on Multispectral Color Science, Proc. of SPIEIS& T Electronic Imaging, SPIE Vol. 6062
7. Definiens, 2000. Developer User Guide. http:\\ www. definiens-iamging. com
8. Syed, S., Dare, P., and Jones, S., 2005. Automatic classification of land cover features with high resolution imagery and lidar data: an object oriented approach, Proceedings of SSC2005 Spatial Intelligence, Innovation and Praxis: The National Biennial Conference of the Spatial Sciences Institute