Developing a damage assessment model for bridge surroundings: a study of the disaster caused by Typhoon Morakot in Taiwan

References

• Airola, T. M. 1990. Monitoring the Impact of Arsenic Contamination on Forest Vegetation in New Jersey Using Remote Sensing Techniques”. Journal of imaging technology, 16(3): 120–123.
   Web of Science ®Google Scholar
• Bovolo, F., Bruzzone, L. 2007. A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment. ”. IEEE Transactions on Geoscience and Remote Sensing, 45(6): 1658–1669. (doi:10.1109/TGRS.2007.895835) doi: 10.1109/TGRS.2007.895835
   Web of Science ®Google Scholar
• Brunner, D., Lemoine, G., Bruzzone, L. 2010. Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery. IEEE Transactions on Geoscience and Remote Sensing, 48(5): 2403–2420. (doi:10.1109/TGRS.2009.2038274) doi: 10.1109/TGRS.2009.2038274
   Web of Science ®Google Scholar
• Central Weather Bureau 2009. Climate Change Report in Taiwan, 1897–2008, Taipei: Ministry of Transportation and Communications.
   Google Scholar
• Cheema, U. 2007. Expert Systems for Earthquake Damage Assessment. IEEE Aerospace and Electronic Systems Magazine, 22(9): 6–10. (doi:10.1109/MAES.2007.4350252) doi: 10.1109/MAES.2007.4350252
   Web of Science ®Google Scholar
• Chen, Z., Hutchinson, T. C. 2010. Probabilistic Urban Structural Damage Classification Using Bitemporal Satellite Images. Earthquake Spectra, 26(1): 87–109. (doi:10.1193/1.3282886) doi: 10.1193/1.3282886
   Web of Science ®Google Scholar
• Chen, J.-H., Su, M.-C., Huang, D.-Y. 2010. Application of SOM-Based Optimization Algorithm in Minimizing Construction Time for Secant Pile Wall. Journal of Construction Engineering and Management, 136(11): 1189–1195. (doi:10.1061/(ASCE)CO.1943-7862.0000222) doi: 10.1061/(ASCE)CO.1943-7862.0000222
   Web of Science ®Google Scholar
• Chen, J.-H., Su, M.-C., Yang, L.-R. 2009. Comparison of SOM-Based Optimization and Particle Swarm Optimization for Minimizing the Construction Time of a Secant Pile Wall. Automation in Construction, 18(6): 844–848. (doi:10.1016/j.autcon.2009.03.008) doi: 10.1016/j.autcon.2009.03.008
   Web of Science ®Google Scholar
• Chen, J.-H., Su, M.-C., Zhao, Y.-X., Hsieh, Y.-J., Chen, W.-H. 2008. Application of SOMO Based Clustering in Building Renovation. International Journal of Fuzzy Systems, 10(3): 195–201.
   Web of Science ®Google Scholar
• Dharanirajan, K., Kasinatha, P. P., Gurugnanam, B., Narayanan, R. M., Ramachandran, S. 2007. An Integrated Study for the Assessment of Tsunami Impacts: A Case Study of South Andaman Island, India Using Remote Sensing and GIS. Coastal Engineering Journal, 49(3): 229–266. (doi:10.1142/S0578563407001617) doi: 10.1142/S0578563407001617
   Web of Science ®Google Scholar
• Directorate General of Highways 2010. Disaster Assessment Report for Bridges Damaged By Typhoon Morakot, Taipei: Ministry of Transportation and Communications.
   Google Scholar
• Ekstrand, S. 1996. Landsat TM-Based Forest Damage Assessment: Correction for Topographic Effects. Photogrammetric Engineering and Remote Sensing, 62(2): 151
   Web of Science ®Google Scholar
• Huang, Y., Thomson, S. J., Ortiz, B. V., Reddy, K. N., Ding, W., Zablotowicz, R. M., Bright, J. R. 2010. Airborne Remote Sensing Assessment of the Damage to Cotton Caused by Spray Drift from Aerially Applied Glyphosate Through Spray Deposition Measurements. Biosystems Engineering, 107(3): 212–220. (doi:10.1016/j.biosystemseng.2010.08.003) doi: 10.1016/j.biosystemseng.2010.08.003
   Web of Science ®Google Scholar
• Isaev, A. S., Korovin, G. N., Bartalev, S. A., Ershov, D. V., Janetos, A., Kasischke, E. S., Shugart, H. H., French, N. H. F., Orlick, B. E., Murphy, T. L. 2002. Using Remote Sensing to Assess Russian Forest Fire Carbon Emissions. Climatic Change, 55(1–2): 235–249. (doi:10.1023/A:1020221123884) doi: 10.1023/A:1020221123884
   Web of Science ®Google Scholar
• Johansen, K., Phinn, S., Lowry, J., Douglas, M. 2008. Quantifying Indicators of Riparian Condition in Australian Tropical Savannas: Integrating High Spatial Resolution Imagery and Field Survey Data. International Journal of Remote Sensing, 29(23): 7003–7028. (doi:10.1080/01431160802220201) doi: 10.1080/01431160802220201
   Web of Science ®Google Scholar
• Kabir, S., Rivard, P., He, D.-C., Thivierge, P. 2009. Damage Assessment for Concrete Structure Using Image Processing Techniques on Acoustic Borehole Imagery. Construction and Building Materials, 23(10): 3166–3174. (doi:10.1016/j.conbuildmat.2009.06.013) doi: 10.1016/j.conbuildmat.2009.06.013
   Web of Science ®Google Scholar
• Kerr, A. M., Baird, A. H., Bhalla, R. S., Srinivas, V. 2009. Reply to ‘Using Remote Sensing to Assess the Protective Role of Coastal Woody Vegetation Against Tsunami Waves’. International Journal of Remote Sensing, 30(14): 3817–3820. (doi:10.1080/01431160903046711) doi: 10.1080/01431160903046711
   Web of Science ®Google Scholar
• Kumar, A., Chingkhei, R. K., Dolendro, T. 2007. Tsunami Damage Assessment: A Case Study in Car Nicobar Island, India. International Journal of Remote Sensing, 28(13–14): 2937–2959. (doi:10.1080/01431160601091852) doi: 10.1080/01431160601091852
   Web of Science ®Google Scholar
• Lee, M.-F., Lin, T.-C., Vadeboncoeur, M. A., Hwong, J.-L. 2008. Remote Sensing Assessment of Forest Damage in Relation to the 1996 Strong Typhoon Herb at Lienhuachi Experimental Forest, Taiwan. Forest Ecology and Management, 255(8–9): 3297–3306. (doi:10.1016/j.foreco.2008.02.010) doi: 10.1016/j.foreco.2008.02.010
   Web of Science ®Google Scholar
• Liou, Y. A., Kar, S. K., Chang, L. Y. 2010. Use of High-Resolution FORMASAT-2 Satellite Images for Post-Earthquake Disaster Assessment: A Student Following 12 May 2008 Wenchuan Earthquake. International Journal of Remote Sensing, 31(13): 3355–3368. (doi:10.1080/01431161003727655) doi: 10.1080/01431161003727655
   Web of Science ®Google Scholar
• Liu, C.-C., Liu, J.-G., Lin, C.-W., Wu, A.-M., Liu, S.-H., Shieh, C.-L. 2007. Image Processing of FORMOSAT-2 Data for Monitoring the South Asia tsunami. International Journal of Remote Sensing, 28(13–14): 3093–3111. (doi:10.1080/01431160601094518) doi: 10.1080/01431160601094518
   Web of Science ®Google Scholar
• Melgani, F., Moser, G., Serpico, S. B. 2002. Unsupervised Change-Detection Methods for Remote-Sensing Images. Optical Engineering, 41(12): 3288–3297. (doi:10.1117/1.1518995) doi: 10.1117/1.1518995
   Web of Science ®Google Scholar
• Muller, M., Tencate, J. A., Darling, T. W., Sutin, A., Guyer, R. A., Talmant, M., Laugier, P., Johnson, P. A. 2006. Bone Micro-Damage Assessment Using Non-Linear Resonant Ultrasound Spectroscopy (NRUS) Techniques: A Feasibility Study. Ultrasonics, 44(suppl): 245–249. (doi:10.1016/j.ultras.2006.06.043) doi: 10.1016/j.ultras.2006.06.043
   Web of Science ®Google Scholar
• Newaz, G., Chen, X. 2005. Progressive Damage Assessment in Thermal Barrier Coatings Using Thermal Wave Imaging Technique. Surface and Coatings Technology, 190(1): 7–14. (doi:10.1016/j.surfcoat.2004.07.088) doi: 10.1016/j.surfcoat.2004.07.088
   Web of Science ®Google Scholar
• Olsen, M. J., Kuester, F., Chang, B. J., Hutchinson, T. C. 2010. Terrestrial Laser Scanning-Based Structural Damage Assessment. Journal of Computing in Civil Engineering, 24(3): 264–272. (doi:10.1061/(ASCE)CP.1943-5487.0000028) doi: 10.1061/(ASCE)CP.1943-5487.0000028
   Web of Science ®Google Scholar
• Pavelsky, T. M., Smith, L. C. 2008. RivWidth: A Software Tool for the Calculation of River Widths from Remotely Sensed Imagery. IEEE Geoscience and Remote Sensing Letters, 5(1): 70–73. (doi:10.1109/LGRS.2007.908305) doi: 10.1109/LGRS.2007.908305
   Web of Science ®Google Scholar
• Silleos, N., Perakis, K., Petsanis, G. 2002. Assessment of Crop Damage Using Space Remote Sensing and GIS. International Journal of Remote Sensing, 23(3): 417–427. (doi:10.1080/01431160110040026) doi: 10.1080/01431160110040026
   Web of Science ®Google Scholar
• Sirikulchayanon, P., Sun, W., Oyana, T. 2008. Assessing the Impact of the 2004 Tsunami on Mangroves Using Remote Sensing and GIS Techniques. International Journal of Remote Sensing, 29(12): 3553–3576. (doi:10.1080/01431160701646332) doi: 10.1080/01431160701646332
   Web of Science ®Google Scholar
• Stone, C., Turner, R., Verbesselt, J. 2008. Integrating Plantation Health Surveillance and Wood Resource Inventory Systems Using Remote Sensing. Australian Forestry, 71(3): 245–253. (doi:10.1080/00049158.2008.10675043) doi: 10.1080/00049158.2008.10675043
   Web of Science ®Google Scholar
• Stramondo, S., Bignami, C., Chini, M., Pierdicca, N., Tertulliani, A. 2006. Satellite Radar and Optical Remote Sensing for Earthquake Damage Detection: Results from Different Case Studies. International Journal of Remote Sensing, 27(20): 4433–4447. (doi:10.1080/01431160600675895) doi: 10.1080/01431160600675895
   Web of Science ®Google Scholar
• Su, M.-C., Huang, D.-Y., Chen, J.-H., Lu, W.-Z., Tsai, L.-C., Lin, J.-Z. 2011. Mapping Multi-Spectral Remote Sensing Images Using Rule Extraction Approach. Expert Systems with Applications, 38(10): 12917–12922. (doi:10.1016/j.eswa.2011.04.086) doi: 10.1016/j.eswa.2011.04.086
   Web of Science ®Google Scholar
• Tsutsui, K., Rokugawa, S., Nakagawa, H., Miyazaki, S., Cheng, C.-T., Shiraishi, T., Yang, S.-D. 2007. Detection and Volume Estimation of Large-Scale Landslides Based on Elevation-Change Analysis Using DEMs Extracted from High-Resolution Satellite Stereo Imagery. IEEE Transactions on Geoscience and Remote Sensing, 45(6): 1681–1696. (doi:10.1109/TGRS.2007.895209) doi: 10.1109/TGRS.2007.895209
   Web of Science ®Google Scholar
• Voigt, S., Schneiderhan, T., Twele, A., Gähler, M., Stein, E., Mehl, H. 2010. Rapid Damage Assessment and Situation Mapping: Learning from the 2010 Haiti Earthquake. Photogrammetric Engineering and Remote Sensing, 77(9): 923–931. doi: 10.14358/PERS.77.9.923
   Web of Science ®Google Scholar
• Wang, F., Xu, Y. J. 2010. Comparison of Remote Sensing Change Detection Techniques for Assessing Hurricane Damage to Forests. Environmental Monitoring and Assessment, 162(1–4): 311–326. (doi:10.1007/s10661-009-0798-8) doi: 10.1007/s10661-009-0798-8
   PubMed Web of Science ®Google Scholar
• Wilkinson, D. W., Crosby, M. K. 2010. Rapid Assessment of Forest Damage from Tornadoes in Mississipal. Photogrammetric Engineering and Remote Sensing, 76(12): 1299–1301.
   Google Scholar