Satellite-based assessment of the August 2018 flood in parts of Kerala, India

References

• De Groeve T. 2010. Flood monitoring and mapping using passive microwave remote sensing in Namibia. Geomat, Nat Haz Risk. 1(1):19–35.
   Google Scholar
• De US, Dube RK, Rao GP. 2005. Extreme weather events over India in the last 100 years. J Ind Geophys Union. 9(3):173–187.
   Google Scholar
• Duncombe J. 2018. Making sense of landslide danger after Kerala’s floods. Eos. 99. https://doi.org/10.1029/2018EO108061.
   Google Scholar
• Du Y, Zhang Y, Ling F, Wang Q, Li W, Li X. 2016. Water bodies’ mapping from Sentinel-2 imagery with Modified Normalized Difference Water Index at 10-m spatial resolution produced by sharpening the SWIR Band. Remote Sensing. 8(4):354.
   Google Scholar
• Eberhardt I, Schultz B, Rizzi R, Sanches I, Formaggio A, Atzberger C, Mello M, Immitzer M, Trabaquini K, Foschiera W, José Barreto Luiz A. 2016. Cloud cover assessment for operational crop monitoring systems in tropical areas. Remote Sens. 8(3):219.
   Google Scholar
• ESA 2018a. http://step.esa.int
   Google Scholar
• ESA 2018b. http://sentinel.esa.int
   Google Scholar
• Greifeneder F, Wagner W, Sabel D, Naeimi V. 2014. Suitability of SAR imagery for automatic flood mapping in the Lower Mekong basin. Int J Remote Sens. 35(8):2857–2874.
   Google Scholar
• Gupta K. 2007. Urban flood resilience planning and management and lessons for the future: a case study of Mumbai, India. Urban Water J. 4(3):183–194.
   Google Scholar
• Henry JB, Chastanet P, Fellah K, Desnos YL. 2006. Envisat multi‐polarized ASAR data for flood mapping. Int J Remote Sens. 27(10):1921–1929.
   Google Scholar
• Huang C, Chen Y, Wu J. 2014. Mapping spatio-temporal flood inundation dynamics at large river basin scale using time-series flow data and MODIS imagery. Int J Appl Earth Observ Geoinf. 26350–362.
   Google Scholar
• IMD 2018. India Meteorological Department. www.imd.gov.in
   Google Scholar
• Joseph S, Thrivikramji KP. 2002. Kayals of Kerala Coastal Land and Implication to Quaternary Sealevel Changes. Memo Geol Soc Ind. 4951–64.
   Google Scholar
• Kussul N, Shelestov A, Skakun S. 2008. Grid system for flood extent extraction from satellite images. Earth Sci Inform. 1(3–4):105.
   Google Scholar
• Li W, Du Z, Ling F, Zhou D, Wang H, Gui Y, Sun B, Zhang X. 2013. A comparison of land surface water mapping using the normalized difference water index from TM, ETM + and ALI. Remote Sens. 5(11):5530–5549.
   Google Scholar
• Mason DC, Horritt MS, Dall'Amico JT, Scott TR, Bates PD. 2007. Improving river flood extent delineation from synthetic aperture radar using airborne laser altimetry. IEEE Trans Geosci Remote Sens. 45(12):3932–3943.
   Google Scholar
• Moel HD, van Alphen J, Aerts JCJH. 2009. Flood maps in Europe-methods, availability and use. Nat Hazards Earth Syst Sci. 9(2):289–301.
   Google Scholar
• Prasad AK, Kumar KK, Singh S, Singh RP. 2006. Potentiality of multi-sensor satellite data in mapping flood hazard. J Indian Soc Remote Sens. 34(3):219–331.
   Google Scholar
• Ran J, Nedovic-Budic Z. 2016. Integrating spatial planning and flood risk management: A new conceptual framework for the spatially integrated policy infrastructure. Comput, Environ Urban Syst. 57:68–79.
   Google Scholar
• Rao KHVD, Rao VV, Dadhwal VK, Diwakar PG. 2014. Kedarnath flash floods: a hydrological and hydraulic simulation study. Curr Sci. 106(4):598–603.
   Google Scholar
• Ryu JH., Won JS, Min KD. 2002. Waterline extraction from landsat TM data in a tidal flat—A case study in Gomso Bay, Korea. Remote Sens. Environ. 83, 442–456.
   Google Scholar
• Sabu S, Joby NE. 2018. Kerala floods-Rescue and rehabilitation using information technology and social media. https://blogs.agu.org/thefield/2018/09/21/kerala-floods-rescue-and-rehabilitation-using-information-technology-and-social-media/
   Google Scholar
• Sajinkumar KS, Kannan JP, Indu GK, Muraleedharan C, Rani VR. 2017. A composite fall-slippage model for cliff recession in the sedimentary coastal cliffs. Geosci Front. 8(4):903–914.
   Google Scholar
• Sarkar S, Singh RP. 2017. June 19 2015 rainfall event over Mumbai: Some observational analysis. J Indian Soc Remote Sens. 45(1):185–192.
   Google Scholar
• Sati SP, Gahalaut VK. 2013. The fury of the floods in the north-west Himalayan region: the Kedarnath tragedy. Geom, Nat Haz Risk. 4(3):193–201.
   Google Scholar
• Simon A, Mohankumar K. 2004. Spatial variability and rainfall characteristics of Kerala. J Earth Syst Sci. 113(2):211–221.
   Google Scholar
• Smith LC. 1997. Satellite remote sensing of river inundation area, stage, and discharge: a review. Hydrol Process. 11(10):1427–1439.
   Google Scholar
• Thomas J, Prasannakumar V. 2016. Temporal analysis of rainfall (1871–2012) and drought characteristics over a tropical monsoon-dominated state (Kerala) of India. J Hydrol. 534266–280.
   Google Scholar
• UAF 2018. https://vertex.daac.asf.alaska.edu/
   Google Scholar
• USGS 2018. https://earthexplorer.usgs.gov/
   Google Scholar
• Work EA, Jr, Gilmer DS. 1976. Utilization of satellite data for inventorying prairie ponds and lakes. Ann Arbor. 100148107.
   Google Scholar
• Xu H. 2006. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int J Remote Sens. 27(14):3025–3033.
   Google Scholar