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International Journal of Cartography Volume 4, 2018 - Issue 1: Risk
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Articles

An open source framework for publishing flood inundation extent libraries in a Web GIS environment using open source technologies

Vinod Kumar SharmaDisaster Management Support Group, National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad, IndiaCorrespondence[email protected]
[email protected]
ORCID Iconhttp://orcid.org/0000-0002-7796-5930
ORCID Icon,
Nitin MishraDisaster Management Support Group, National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad, India
,
C. M. BhattDisaster Management Support Group, National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad, IndiaORCID Iconhttp://orcid.org/0000-0001-8969-0471
ORCID Icon,
G. Srinivasa RaoDisaster Management Support Group, National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad, India
&
V. BhanumurthyDisaster Management Support Group, National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad, India
Pages 65-77 | Received 14 Sep 2016, Accepted 21 Aug 2017, Published online: 08 Nov 2017

References

  • Bales, J. D., & Wagner, C. R. (2009). Sources of uncertainty in flood inundation maps. Journal of Flood Risk Management, 2(2), 139–147. doi: 10.1111/j.1753-318X.2009.01029.x
  • Baumann, P., Mazzetti, P., Ungar, J., Barbera, R., Barboni, D., Beccati, A., … Wagner, S. (2016). Big data analytics for earth sciences: The earth server approach. International Journal of Digital Earth, 9(1), 3–29. doi: 10.1080/17538947.2014.1003106
  • Bhatt, C. M., Rao, G. S., Diwakar, P. G., & Dadhwal, V. K. (2016). Development of flood inundation extent libraries over a range of potential flood levels: A practical framework for quick flood response. Geomatics, Natural Hazards and Risk, 1–18. doi: 10.1080/19475705.2016.1220025
  • Giustarini, L., Chini, M., Hostache, R., Pappenberger, F., & Matgen, P. (2015). Flood hazard mapping combining hydrodynamic modeling and multi annual remote sensing data. Remote Sensing, 7(10), 14200–14226. doi: 10.3390/rs71014200
  • Grimaldi, S., Li, Y., Pauwels, V. R. N., & Walker, J. P. (2016). Remote sensing-derived water extent and level to constrain hydraulic flood forecasting models: Opportunities and challenges. Surveys in Geophysics, 37(5), 977–1034. doi: 10.1007/s10712-016-9378-y
  • Lan, V. P., & Hoa, D. T. B. (2016). Application of remote sensing GIS and technologies for flood mapping to serve impact assessment in Vinh Phuc province. VNU Journal of Science: Earth and Environmental Sciences, 27(4), 208–218.
  • Sharma, V. K., Rao, G. S., Amminedu, E., Nagamani, P. V., Rao, K. R. M., & Bhanumurthy, V. (2016). Assessing the potential of open source libraries for managing satellite data products – A case study on disaster management. Annals of GIS, 23(1), 55–65. doi: 10.1080/19475683.2016.1231718
  • Sun, L., He, D., & Zhao, P. (2015). A research of publishing map technique based on GeoServer. Asian Journal of Applied Sciences, 8, 185–195. doi: 10.3923/ajaps.2015.185.195

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