IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v76y2015i1p123-138.html
   My bibliography  Save this article

Flood monitoring using microwave remote sensing in a part of Nuna river basin, Odisha, India

Author

Listed:
  • Sananda Kundu
  • S. Aggarwal
  • Nanette Kingma
  • Arun Mondal
  • Deepak Khare

Abstract

Floods adversely affect the life of people and property in the coastal districts. It is important to delineate the flood extent and pattern which helps in the vulnerability assessment and also to find out the intensity of damages to facilitate future planning and management. The study area is a part of the Nuna river basin, which suffers from the flood disasters frequently. The present study applies microwave remote sensing (RADARSAT-1 images) to monitor extent, depth and duration of 2003 and 2008 floods in the Kendrapara district of Odisha, India. RADARSAT-1 images of 4, 11, 13 and 20 September of 2003 and 18, 20, 22 and 24 September of 2008 were used to monitor the flood extent, duration and depth. The threshold method was used to delineate flood extent which was used for calculating flood duration and depth. Further, vulnerability assessment of the paddy crop was done to obtain intensity of damage in the area from the 2003 and 2008 floods. Field survey was done to verify and assess the generated results. Areas affected by more than 15 days of flood duration and depth of more than 3 m faced maximum loss. Both the years witnessed major floods in this area with an estimated damage of around INR 174 million ($3.6 million) in 2003 and INR 75 million ($1.6 million) in 2008. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • 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.
  • Handle: RePEc:spr:nathaz:v:76:y:2015:i:1:p:123-138
    DOI: 10.1007/s11069-014-1478-8
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-014-1478-8
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-014-1478-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xin Huang & Hongzhuan Tan & Jia Zhou & Tubao Yang & Abuaku Benjamin & Shi Wen & Shuoqi Li & Aizhong Liu & Xinhua Li & Shuidong Fen & Xinli Li, 2008. "Flood hazard in Hunan province of China: an economic loss analysis," 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. 47(1), pages 65-73, October.
    2. Anne Veen & Christiaan Logtmeijer, 2005. "Economic Hotspots: Visualizing Vulnerability to Flooding," 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. 36(1), pages 65-80, September.
    3. 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.
    4. Praveen Thakur & Sreyasi Maiti & Nanette Kingma & V. Hari Prasad & S. Aggarwal & Ashutosh Bhardwaj, 2012. "Estimation of structural vulnerability for flooding using geospatial tools in the rural area of Orissa, 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. 61(2), pages 501-520, March.
    5. Mizan Khan & M. Rahman, 2007. "Partnership approach to disaster management in Bangladesh: a critical policy assessment," 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. 41(2), pages 359-378, May.
    6. Roxana Hoque & Daichi Nakayama & Hiroshi Matsuyama & Jun Matsumoto, 2011. "Flood monitoring, mapping and assessing capabilities using RADARSAT remote sensing, GIS and ground data for Bangladesh," 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. 57(2), pages 525-548, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luca Pisano & Veronica Zumpano & Mariangela Pepe & Isabella Serena Liso & Mario Parise, 2022. "Assessing Karst Landscape Degradation: A Case Study in Southern Italy," Land, MDPI, vol. 11(10), pages 1-18, October.
    2. Ipsita Nandi & Prashant K. Srivastava & Kavita Shah, 2017. "Floodplain Mapping through Support Vector Machine and Optical/Infrared Images from Landsat 8 OLI/TIRS Sensors: Case Study from Varanasi," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(4), pages 1157-1171, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ehsan H. Chowdhury & Quazi K. Hassan, 2017. "Use of remote sensing data in comprehending an extremely unusual flooding event over southwest Bangladesh," 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. 88(3), pages 1805-1823, September.
    2. Zahra Ganji & Alireza Shokoohi & Jamal Samani, 2012. "Developing an agricultural flood loss estimation function (case study: rice)," 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. 64(1), pages 405-419, October.
    3. Fatemeh Jalayer & Raffaele Risi & Francesco Paola & Maurizio Giugni & Gaetano Manfredi & Paolo Gasparini & Maria Topa & Nebyou Yonas & Kumelachew Yeshitela & Alemu Nebebe & Gina Cavan & Sarah Lindley , 2014. "Probabilistic GIS-based method for delineation of urban flooding risk hotspots," 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. 73(2), pages 975-1001, September.
    4. Jonathan W. F. Remo & Nicholas Pinter & Moe Mahgoub, 2016. "Assessing Illinois’s flood vulnerability using Hazus-MH," 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. 81(1), pages 265-287, March.
    5. Karina Landeros-Mugica & Javier Urbina-Soria & Irasema Alcántara-Ayala, 2016. "The good, the bad and the ugly: on the interactions among experience, exposure and commitment with reference to landslide risk perception in México," 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. 80(3), pages 1515-1537, February.
    6. Balbi Stefano & Giupponi Carlo & Olschewski Roland & Mojtahed Vahid, 2015. "The Total Cost of Water-Related Disasters," Review of Economics, De Gruyter, vol. 66(2), pages 225-252, August.
    7. Shitangsu Paul & Jayant Routray, 2011. "Household response to cyclone and induced surge in coastal Bangladesh: coping strategies and explanatory variables," 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. 57(2), pages 477-499, May.
    8. David Mendoza‐Tinoco & Yixin Hu & Zhao Zeng & Konstantinos J. Chalvatzis & Ning Zhang & Albert E. Steenge & Dabo Guan, 2020. "Flood Footprint Assessment: A Multiregional Case of 2009 Central European Floods," Risk Analysis, John Wiley & Sons, vol. 40(8), pages 1612-1631, August.
    9. 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.
    10. Ferdous Osman & Asif Shahan & Ferdous Jahan, 2015. "Managing Natural Disasters in Bangladesh: Activating the Network Approach," Public Organization Review, Springer, vol. 15(1), pages 99-116, March.
    11. Bimal Paul, 2009. "Why relatively fewer people died? The case of Bangladesh’s Cyclone Sidr," 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. 50(2), pages 289-304, August.
    12. Huicong Jia & Fang Chen & Enyu Du, 2021. "Adaptation to Disaster Risk—An Overview," IJERPH, MDPI, vol. 18(21), pages 1-21, October.
    13. Yanfang Lyu & Yun Xiang & Dong Wang, 2023. "Evaluating Indirect Economic Losses from Flooding Using Input–Output Analysis: An Application to China’s Jiangxi Province," IJERPH, MDPI, vol. 20(5), pages 1-17, March.
    14. Khabat Khosravi & Ebrahim Nohani & Edris Maroufinia & Hamid Reza Pourghasemi, 2016. "A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making techn," 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. 83(2), pages 947-987, September.
    15. Haddad, Eduardo & Teixeira, Eliane, 2013. "Economic Impacts of Natural Disasters in Megacities: The Case of Floods in São Paulo, Brazil," TD NEREUS 4-2013, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    16. 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.
    17. 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.
    18. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    19. Johanna Grames & Dieter Grass & Peter M. Kort & Alexia Prskawetz, 2019. "Optimal investment and location decisions of a firm in a flood risk area using impulse control theory," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 1051-1077, December.
    20. Monalisa Chatterjee, 2010. "Slum dwellers response to flooding events in the megacities of India," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(4), pages 337-353, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:76:y:2015:i:1:p:123-138. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.