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Flood inundation mapping using NOAA AVHRR data

Author

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  • Sanjay Jain
  • Arun Saraf
  • Ajanta Goswami
  • Tanvear Ahmad

Abstract

The river Brahmputra flowing through the state of Assam (India) floods every year. The analysis of spatial extent and temporal pattern of flood-inundated areas is of prime importance for mitigation of floods. With the development of remote sensing techniques, flood mapping for large areas can be done easily. In case of flood affected area mapping of large area it will not be feasible to use high-resolution data, because the whole area will be covered in number of scenes. Therefore use of NOAA (National Oceaongraphic Atmospheric Administrative) data is quite useful in such type of studies. NOAA-AVHRR (Advanced Very High Resolution Radiometer) data have the potential for flood monitoring due to high frequency of global coverage, wide swath, high repetivity and low cost. In this study, NOAA-AVHRR data have been used for mapping of flood-affected area during the year 2003. On the basis of spectral characteristics of land and water, a methodology for water identification is presented. The maximum spatial extent of floods, generated by compiling the available cloud free maps, is informative about flood damages. Analysis of results reveals that in the months of July and August almost 25-30% of the area was flood affected. Also the result indicates that in some districts, the flood-affected area is very high. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Sanjay Jain & Arun Saraf & Ajanta Goswami & Tanvear Ahmad, 2006. "Flood inundation mapping using NOAA AVHRR data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(6), pages 949-959, December.
    • Handle: RePEc:spr:waterr:v:20:y:2006:i:6:p:949-959
    DOI: 10.1007/s11269-006-9016-4
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    References listed on IDEAS

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    1. P. Mohapatra & R. Singh, 2003. "Flood Management in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 28(1), pages 131-143, January.
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    1. Rajesh Kumar & Prasenjit Acharya, 2016. "Flood hazard and risk assessment of 2014 floods in Kashmir Valley: a space-based multisensor approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 437-464, October.
    2. Sananda Kundu & S. Aggarwal & Nanette Kingma & Arun Mondal & Deepak Khare, 2015. "Flood monitoring using microwave remote sensing in a part of Nuna river basin, Odisha, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 123-138, March.
    3. Chandra Sharma & Mukund Behera & Atmaram Mishra & Sudhindra Panda, 2011. "Assessing Flood Induced Land-Cover Changes Using Remote Sensing and Fuzzy Approach in Eastern Gujarat (India)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3219-3246, October.
    4. S. Sarkar & R. Rai, 2011. "Flood Inundation Modeling Using Nakagami-m Distribution Based GIUH for a Partially Gauged Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3805-3835, November.
    5. Rahul Kumar Jaiswal & Gunja Dhruw & Sukant Jain & Ravi V. Galkate & Anil Kumar Lohani & Akhilesh Verma, 2023. "Efficient Segmentation Algorithm for Estimation of Revised Reservoir Capacities in Google Earth Engine," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 3795-3812, August.
    6. Alahacoon, Niranga & Matheswaran, Karthikeyan & Pani, Peejush & Amarnath, Giriraj, "undated". "A decadal historical satellite data and rainfall trend analysis (2001–2016) for flood hazard mapping in Sri Lanka," Papers published in Journals (Open Access) H048581, International Water Management Institute.
    7. Ikramul Hasan & Weibo Liu & Chao Xu, 2023. "Monitoring and Analyzing the Seasonal Wetland Inundation Dynamics in the Everglades from 2002 to 2021 Using Google Earth Engine," Geographies, MDPI, vol. 3(1), pages 1-17, February.
    8. Liwei Xing & Liang Chi & Shuqing Han & Jianzhai Wu & Jing Zhang & Cuicui Jiao & Xiangyang Zhou, 2022. "Spatiotemporal Dynamics of Wetland in Dongting Lake Based on Multi-Source Satellite Observation Data during Last Two Decades," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    9. Ibrahim Sufiyan & Razak Zakariya & Ibrahim Rosnan Yaacob, 2018. "Delineation Of Flood Risk Zones And 3D Modeling In Terengganu River Catchment Using Gis And Swat," Environment & Ecosystem Science (EES), Zibeline International Publishing, vol. 2(2), pages 1-5, January.
    10. Joy Sanyal & Alexander Densmore & Patrice Carbonneau, 2014. "2D Finite Element Inundation Modelling in Anabranching Channels with Sparse Data: Examination of Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2351-2366, June.
    11. Dhruvesh Patel & Prashant Srivastava, 2013. "Flood Hazards Mitigation Analysis Using Remote Sensing and GIS: Correspondence with Town Planning Scheme," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2353-2368, May.
    12. Noy, Ilan & Blanc, Elodie & Pundit, Madhavi & Uher, Tomas, 2023. "Nowcasting from Space: Impact of Tropical Cyclones on Fiji’s Agriculture," ADB Economics Working Paper Series 676, Asian Development Bank.

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