713
Views
56
CrossRef citations to date
0
Altmetric
Articles

Enhancing the temporal resolution of satellite-based flood extent generation using crowdsourced data for disaster monitoring

&
Pages 1459-1474 | Received 10 Mar 2017, Accepted 13 Oct 2017, Published online: 29 Nov 2017

References

  • Asante, K. O., R. D. Macuacua, G. A. Artan, R. W. Lietzow, and J. P. Verdin. 2007. “Developing a Flood Monitoring System from Remotely Sensed Data for the Limpopo Basin.” IEEE Transactions on Geoscience and Remote Sensing 45 (6): 1709–1714. doi:10.1109/TGRS.2006.883147.
  • Burt, J. E., G. M. Barber, and D. L. Rigby. 2009. Elementary Statistics for Geographers. Guilford Press.
  • Cervone, G., E. Sava, Q. Huang, E. Schnebele, J. Harrison, and N. Waters. 2016. “Using Twitter for Tasking Remote-Sensing Data Collection and Damage Assessment: 2013 Boulder Flood Case Study.” International Journal of Remote Sensing 37 (1): 100–124. doi:10.1080/01431161.2015.1117684.
  • Cervone, G., E. Schnebele, N. Waters, M. Moccaldi, and R. Sicignano. 2016. “Using Social Media and Satellite Data for Damage Assessment in Urban Areas during Emergencies.” In Seeing Cities Through Big Data, edited by P. Thakuriah et al., 443–457. Springer.
  • Chander, G., B. L. Markham, and D. L. Helder. 2009. “Summary of Current Radiometric Calibration Coefficients for Landsat Mss, Tm, Etm+, and Eo-1 Ali Sensors.” Remote Sensing of Environment 113 (5): 893–903. doi:10.1016/j.rse.2009.01.007.
  • Cossu, R., E. Schoepfer, P. Bally, and L. Fusco. 2009. “Near Real-Time Sar-Based Processing to Support Flood Monitoring.” Journal of Real-Time Image Processing 4 (3): 205–218. doi:10.1007/s11554-009-0114-4.
  • Eilander, D., P. Trambauer, J. Wagemaker, and A. van Loenen. 2016. “Harvesting Social Media for Generation of Near Real-Time Flood Maps.” Procedia Engineering 154: 176–183. doi:10.1016/j.proeng.2016.07.441.
  • Fan, H., A. Zipf, Q. Fu, and P. Neis. 2014. “Quality Assessment for Building Footprints Data on Openstreetmap.” International Journal of Geographical Information Science 28 (4): 700–719. doi:10.1080/13658816.2013.867495.
  • Fan, J., and I. Gijbels. 1996. Local Polynomial Modelling and Its Applications: Monographs on Statistics and Applied Probability. 66 vols. CRC Press.
  • Gamba, P., F. DellAcqua, and B. V. Dasarathy. 2005. “Urban Remote Sensing Using Multiple Data Sets: Past, Present, and Future.” Information Fusion 6 (4): 319–326. doi:10.1016/j.inffus.2005.02.007.
  • Goolsby, R., and G. Cervone. 2013. “Using Social Media to Fill the Gaps in Observations during Emergencies.” In Innovation, edited by L. Schuette and C. Hughes, 11 vols., 19–22. Office of Naval Research. Winter.
  • Haining, R. P. 2003. Spatial Data Analysis: Theory and Practice. Cambridge University Press.
  • Huang, Q., and G. Cervone. 2016. “Usage of Social Media and Cloud Computing during Natural Hazards.” In Cloud Computing in Ocean and Atmospheric Sciences, edited by T. C. Vance, N. Merati, C. Yang and M. Yuan, 297–324. Academic Press.
  • Huang, Q., and Y. Xiao. 2015. “Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery.” ISPRS International Journal of Geo-Information 4 (3): 1549–1568. doi:10.3390/ijgi4031549.
  • Joyce, K. E., S. E. Belliss, S. V. Samsonov, S. J. McNeill, and P. J. Glassey. 2009. “A Review of the Status of Satellite Remote Sensing and Image Processing Techniques for Mapping Natural Hazards and Disasters.” Progress in Physical Geography 33: 183–207. doi:10.1177/0309133309339563.
  • Kennedy, R. E., P. A. Townsend, J. E. Gross, W. B. Cohen, P. Bolstad, Y. Wang, and P. Adams. 2009. “Remote Sensing Change Detection Tools for Natural Resource Managers: Understanding Concepts and Tradeoffs in the Design of Landscape Monitoring Projects.” Remote Sensing of Environment 113 (7): 1382–1396. doi:10.1016/j.rse.2008.07.018.
  • Khan, S. I., Y. Hong, J. Wang, K. K. Yilmaz, J. J. Gourley, R. F. Adler, G. R. Brakenridge, F. Policelli, S. Habib, and D. Irwin. 2011. “Satellite Remote Sensing and Hydrologic Modeling for Flood Inundation Mapping in Lake Victoria Basin: Implications for Hydrologic Prediction in Ungauged Basins.” IEEE Transactions on Geoscience and Remote Sensing 49 (1): 85–95. doi:10.1109/TGRS.2010.2057513.
  • Kuo, P.-F., X. Zeng, and D. Lord. 2011. “Guidelines for Choosing Hot-Spot Analysis Tools Based on Data Characteristics, Network Restrictions, and Time Distributions.” In Proceedings of the 91 Annual Meeting of the Transportation Research Board, 22–26.
  • Kussul, N. N., A. Y. Shelestov, S. V. Skakun, G. Li, and O. M. Kussul. 2012. “The Wide Area Grid Testbed for Flood Monitoring Using Earth Observation Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5 (6): 1746–1751. doi:10.1109/JSTARS.2012.2201447.
  • Li, W., Z. Du, F. Ling, D. Zhou, H. Wang, Y. Gui, B. Sun, and X. Zhang. 2013. “A Comparison of Land Surface Water Mapping Using the Normalized Difference Water Index from Tm, Etm+ and Ali.” Remote Sensing 5 (11): 5530–5549. doi:10.3390/rs5115530.
  • MacEachren, A. M., A. Jaiswal, A. C. Robinson, S. Pezanowski, A. Savelyev, P. Mitra, X. Zhang, and J. Blanford. 2011. “Senseplace2: Geotwitter Analytics Support for Situational Awareness.” In Visual Analytics Science and Technology (VAST), 2011 IEEE Conference On, 181–190. IEEE.
  • McFeeters, S. K. 1996. “The Use of the Normalized Difference Water Index (Ndwi) in the Delineation of Open Water Features.” International Journal of Remote Sensing 17 (7): 1425–1432. doi:10.1080/01431169608948714.
  • Mukkamala, A., and R. Beck. 2016. “Enhancing Disaster Management through Social Media Analytics to Develop Situation Awareness What Can Be Learned from Twitter Messages about Hurricane Sandy?.” In Proceedings of the 2016 Pacific Asia Conference on Information Systems (PACIS), 1 vols, 11.
  • Musser, J. W., K. M. Watson, J. A. Painter, and A. J. Gotvald. 2016. Flood-Inundation Maps of Selected Areas Affected by the Flood of October 2015 in Central and Coastal South Carolina. Technical report, US Geological Survey.
  • Ord, J. K., and A. Getis. 1995. “Local Spatial Autocorrelation Statistics: Distributional Issues and an Application.” Geographical Analysis 27 (4): 286–306. doi:10.1111/j.1538-4632.1995.tb00912.x.
  • Peeters, A., M. Zude, J. Käthner, M. Ünlü, R. Kanber, A. Hetzroni, R. Gebbers, and A. Ben-Gal. 2015. “Getis–Ord’s Hot-And Cold-Spot Statistics as a Basis for Multivariate Spatial Clustering of Orchard Tree Data.” Computers and Electronics in Agriculture 111: 140–150. doi:10.1016/j.compag.2014.12.011.
  • Schnebele, E., and G. Cervone. 2013. “Improving Remote Sensing Flood Assessment Using Volunteered Geographical Data.” Natural Hazards Earth System Science 13: 669–677. doi:10.5194/nhess-13-669-2013.
  • Schumann, G., G. Di Baldassarre, and P. D. Bates. 2009. “The Utility of Spaceborne Radar to Render Flood Inundation Maps Based on Multialgorithm Ensembles.” IEEE Transactions on Geoscience and Remote Sensing 47 (8): 2801–2807. doi:10.1109/TGRS.2009.2017937.
  • Serpico, S. B., S. Dellepiane, G. Boni, G. Moser, E. Angiati, and R. Rudari. 2012. “Information Extraction from Remote Sensing Images for Flood Monitoring and Damage Evaluation.” Proceedings of the IEEE 100 (10): 2946–2970. doi:10.1109/JPROC.2012.2198030.
  • Skakun, S. 2012. “A Neural Network Approach to Flood Mapping Using Satellite Imagery.” Computing and Informatics 29 (6): 1013–1024.
  • Soltani, K., A. Soliman, A. Padmanabhan, and S. Wang. 2016. “Urbanflow: Large-Scale Framework to Integrate Social Media and Authoritative Landuse Maps.” In Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, 2. ACM.
  • Taubenböck, H., M. Wurm, M. Netzband, H. Zwenzner, A. Roth, A. Rahman, and S. Dech. 2011. “Flood Risks in Urbanized Areas–Multi-Sensoral Approaches Using Remotely Sensed Data for Risk Assessment.” Natural Hazards and Earth System Sciences (NHESS) 11: 431–444. doi:10.5194/nhess-11-431-2011.
  • Van der Sande, C., S. De Jong, and A. De Roo. 2003. “A Segmentation and Classification Approach of Ikonos-2 Imagery for Land Cover Mapping to Assist Flood Risk and Flood Damage Assessment.” International Journal of Applied Earth Observation and Geoinformation 4 (3): 217–229. doi:10.1016/S0303-2434(03)00003-5.
  • Wan, Z., Y. Hong, S. Khan, J. Gourley, Z. Flamig, D. Kirschbaum, and G. Tang. 2014. “A Cloud-Based Global Flood Disaster Community Cyber-Infrastructure: Development and Demonstration.” Environmental Modelling & Software 58 58: 86–94. doi:10.1016/j.envsoft.2014.04.007.
  • Xu, H. 2006. “Modification of Normalised Difference Water Index (Ndwi) to Enhance Open Water Features in Remotely Sensed Imagery.” International Journal of Remote Sensing 27 (14): 3025–3033. doi:10.1080/01431160600589179.
  • Yin, J., A. Lampert, M. Cameron, B. Robinson, and R. Power. 2012. “Using Social Media to Enhance Emergency Situation Awareness.” IEEE Intelligent Systems 27 (6): 52–59. doi:10.1109/MIS.2012.6.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.