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2018 | 22 | 3 | 172-180

Article title

Feasibility study of flood risk monitoring based on optical satellite data

Content

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Abstracts

EN
This article presents an extensive feasibility study of the use of optical satellite data for flood risk monitoring. The article presents a review of existing and archival satellite systems. The capabilities and restrictions of using earth observation data are presented, in relation to the identified threat and taking into account the size, genesis and cause. The initial results of the studies demonstrate the potential of very high and highresolution satellite imagery for the operational detection of damage and risk areas. In the presented approach, two analyses were conducted: bare soil detection and water range detection, based on different radiometric indices. As a result of the conducted research, the best results in bare soil detection were obtained using the MSAVI and NDVI indices. The most effective at delimiting water was the NDVI index. The automatization of satellite data processing from different satellite systems gives opportunities for hydrological services and crisis management professionals to access accurate and up-to-date information about the condition of levees for the early detection of flood risk.

Year

Volume

22

Issue

3

Pages

172-180

Physical description

Dates

published
2018

Contributors

  • Astri Polska Sp. z o.o., Poland
  • Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, Poland
  • Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, Poland
  • Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, Poland

References

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  • Asare-Kyei, D, Forkuor, G & Venus, V 2015, 'Modeling Flood Hazard Zones at the Sub-District Level with the Rational Model Integrated with GIS and Remote Sensing Approaches', Water, vol. 7, pp. 3531-3564.
  • Byun, Y, Han, Y & Chae, TB 2015, 'Image Fusion-Based Change Detection for Flood Extent Extraction Using Bi-Temporal Very High-Resolution Satellite Images', Remote Sensing, vol. 7, pp. 10347-10363. DOI:10.3390/rs70810347.
  • Cundill, SL, van der Meijde, M, Robert, H & Hack, GK, 2014, 'Investigation of Remote Sensing for Potential Use in Dike Inspection', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, pp. 733-746.
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  • Ho, LTK, Umitsu, M & Yamaguchi, Y 2010, 'Flood Hazard Mapping By Satellite Images And Srtm Dem In The Vu Gia - Thu Bon Alluvial Plain, Central Vietnam', Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, vol. XXXVIII, part 8, Kyoto Japan.
  • Hossain, A & Easson, G 2004, Application of High Resolution Multispectral Imagery for Levee Slide Detection and Monitoring, Department of Geology and Geological Engineering, The University of Mississippi.
  • Hu, Y, Huang, J, Du, Y, Han, P & Huang, W 2015, 'Monitoring Spatial and Temporal Dynamics of Flood Regimes and Their Relation to Wetland Landscape Patterns in Dongting Lake from MODIS Time-Series Imagery', Remote Sensing, vol. 7, pp. 7494-7520. DOI:10.3390/rs70607494.
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  • Rokni, K, Ahmad, A, Selamat, A & Hazini, S 2014, 'Water feature extraction and change detection using multitemporal Landsat imagery' Remote Sensing, vol. 6(5), pp. 4173-4189.
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  • Skakun, S 2012, 'The Use Of Time-Series Of Satellite Data To Flood Risk Mapping', International Journal Information Models and Analyses vol.1, pp. 260-270..
  • Shaker, A, Yan, WY & El-Ashmawy, N 2012, 'Panchromatic Satellite Image Classification for Flood Hazard Assessment', Journal of Applied Research and Technology, vol. 10, pp. 902-910.Stancalie, G, Craciunescu, V & Irimescu, A 2007, 'Contribution of Earth observation data supplied by the new satellite sensors in flood risk mapping', Remote Sensing for Environmental Monitoring and Change Detection, Proceedings of Symposium HS3007 at IUGG2007, Perugia, July 2007, IAHS Publ. vol. 316.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
2134577

YADDA identifier

bwmeta1.element.ojs-doi-10_2478_mgrsd-2018-0011
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