Quick assessment on identification of damaged building and land‐use changes in the post‐tsunami disaster with a quick‐look image of IKONOS and Quickbird (a case study in Meulaboh City, Aceh)

References

• Byun , D. , Kim , S. , Cheng , F. Y. , Stetson , S. W. , Nowak , D. , Estes , M. and Hitchcock , D. 2004 . Utilization of Satellite‐Derived High Resolution Land Use/Land Cover Data for the Meteorological, Emissions, and Air Quality Modeling , Houston, TX : Department of Geosciences .
   Google Scholar
• Di , K. , Ma , R. , Wang , J. and Li , R. 2003 . Coastal Mapping and Change Detection Using High‐Resolution IKONOS Satellite Imagery , Columbus, OH : Department of Civil Engineering and Geodetic Science, Ohio State University .
   Google Scholar
• Ehlers , M. 1991 . Multisensor image fusion techniques in remote sensing. . ISPRS Journal of Photogrammetry and Remote Sensing , 46 : 19 – 30 .
   Web of Science ®Google Scholar
• Ganas , A. , Lagios , E. and Tzannetos , N. 2002 . An investigation into the spatial accuracy of the IKONOS 2 orthoimagery within an urban environment. . International Journal of Remote Sensing , 23 : 3513 – 3519 .
   Web of Science ®Google Scholar
• Gerhardinger , A. , Ehrlich , D. and Pesaresi , M. 2005 . “ Vehicles detection from very high resolution satellite imagery for the development of a societal activity index. ” . In International Society for Photogrammetry and Remote Sensing (ISPRS) Workshop 14–16 March, Tempe, AZ, US
   Google Scholar
• Gong , P. and Howarth , P. J. 1992 . Land‐use classification of SPOT HRV data using a cover‐frequency method. . International Journal of Remote Sensing , 13 : 1459 – 1471 .
   Web of Science ®Google Scholar
• Jensen , J. R. 1986 . Introductory digital image processing: a remote sensing perspective , New York. Prentice‐Hall
   Google Scholar
• Karathanassi , V. , Iossifidis , C. H. and Rokos , D. 2000 . A texture‐based classification method for classifying built areas according to their density. . International Journal of Remote Sensing , 21 : 1807 – 1823 .
   Web of Science ®Google Scholar
• Kardoulas , N. G. , Bird , A. C. and Lawan , A. I. 1996 . Geometric correction of SPOT and Landsat imagery: A comparison of map and GPS‐derived control points. . Photogrammetric Engineering and Remote Sensing , 62 : 1173 – 1177 .
   Web of Science ®Google Scholar
• Kattenborn , G. , Nezry , E. , De Grandi , G. and Sieber , A. J. 1994 . “ High resolution detection and monitoring of changes using ERS‐1 time series. ” . In Proceedings Second ERS‐1 Symposium—Space at the Service of our Environment 635 – 642 . 11–14 October, Hamburg, Germany
   Google Scholar
• Kuplich , T. M. , Freitas , C. C. and Soares , J. V. 2000 . The study of ERS‐1 SAR and Landsat TM synergism for land use classification. . International Journal of Remote Sensing , 21 : 2101 – 2111 .
   Web of Science ®Google Scholar
• Lam KWK, Lau WL, Li ZL. 1999. Effects of JPEG compression on accuracy of image classification. In. GIS Developments. Available online at: http://www.gisdevelopment.net (accessed 3 June 2006)
   Google Scholar
• Liu , H. , Li , J. and Chapman , M. A. 2003 . Automated road extraction from satellite imagery using hybrid genetic algorithm and cluster analysis. . Journal of Environmental Informatics , 2 : 40 – 47 .
   Google Scholar
• Marceau , D. J. , Howarth , P. J. , Dubois , J. M. and Gratton , D. J. 1990 . Evaluation of the grey level co‐occurrence matrix method for land cover classification using SPOT. . IEEE Transactions on Geoscience and Remote Sensing , 28 : 513 – 519 .
   Web of Science ®Google Scholar
• Mather , P. M. , Tso , B. and Koch , M. 1998 . An evaluation of Landsat TM spectral data and SAR‐derived textural information for lithological discrimination in the Red Sea Hills, Sudan. . International Journal of Remote Sensing , 19 : 587 – 604 .
   Web of Science ®Google Scholar
• Phalke , S. M. and Couloigner , I. 2005 . Change detection of linear man‐made objects using feature extraction technique. . International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences , XXXVI : 1682 – 1777 .
   Google Scholar
• Pohl , C. 1996 . “ Geometric aspects of multisensor image fusion for topographic map updating in the humid tropics. ” . PhD thesis, ITC Publication No. 39
   Google Scholar
• Rejaie , A. and Shinozuka , M. 2004 . Reconnaissance of Golcuk 1999 earthquake damage using satellite images. . Journal of Aerospace Engineering , 17 : 20 – 25 .
   Web of Science ®Google Scholar
• Rignot , E. and Kwok , R. 1993 . Characterization of spatial statistics of distributed targets in SAR data. . International Journal of Remote Sensing , 14 : 345 – 363 .
   Web of Science ®Google Scholar
• Sahin , H. , Topan , H. , Karakis , S. and Marangoz , A. M. Comparison of object oriented image analysis and manual digitizing for feature extraction. International Society for Photogrammetri and Remote Sensing (ISPRS) Conference ,
   Google Scholar
• Schiewe , J. 1998 . Effects of Lossy Data Compression Techniques on Geometry and Information Content of Satellite Imagery, Vol. 32. Part 4 ‘GIS—Between Visions and Applications’ , Stuttgart : IAPRS .
   Google Scholar
• Sirinyildiz , T. 2004 . “ Change detection analysis by using IKONOS imagery. ” . In Proceeding of XXth ISPRS Congress. Geo‐Imagery Bridging Continents 12–23 July 2004, Istanbul
   Google Scholar
• Toll , D. 1985 . Analysis of digital Landsat‐MSS and SEASAT SAR data for use in discriminating land cover at the urban fringe of Denver, Colorado. . International Journal of Remote Sensing , 6 : 1209 – 1229 .
   Web of Science ®Google Scholar
• Wikantika , K. 2005 . “ International consortium on large scale mapping for recovery and reconstruction of Aceh and North Sumatera. ” . In 2nd Workshop of Indonesian Remote Sensing and GIS Forum 15 February, Jakarta
   Google Scholar