Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

ISSN : 2456-1290 (Online)

Application of Sentinel 2 Data for Extraction of Flood Inundation Along Ganga River, Bihar

Author : Manisha Kashyap 1 C.M. Bhatt 2 Prof. J. S. Rawat 3 Krunal Suthar 4

Date of Publication :11th May 2021

Abstract: Flood inundation mapping is one of the most important and essential step to understand the intensity of the natural disaster. The Sentinel 2 satellite providing fine spatial resolution and frequent revisit capabilities makes it potential for accessing imageries and monitor the changes in flood water. The spectral water index methods: Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI) were used to delineate the inundated areas. Threshold values were used to separate the water from the non water surface. The error matrix table and calculation of the Producer Accuracy (PA), User Accuracy (UA) and Overall Accuracy (OA) identified the amount of falsely classified pixels into another feature. For the post flood event, MNDWI 1 yield better results with the highest Kappa and Overall Accuracy (OA) while the pre flood period NDWI had the better accuracy. The optimum thresholds for all the different indices differ in every index for both pre and post flood occurrences.

Reference :

    1. Acharya, Tri Dev, Anoj Subedi, and Dong Ha Lee. "Evaluation of water indices for surface water extraction in a Landsat 8 scene of Nepal." Sensors 18, no. 8 (2018): 2580.
    2. Bhatt, C. M., Rao, G. S., Manjushree, P., & Bhanumurthy, V. (2010). Space based disaster management of 2008 Kosi floods, North Bihar, India. Journal of the Indian Society of Remote Sensing, 38(1), 99-108.
    3. DMSG, 2001: The Use of Earth Observing Satellites for Hazard Support: Assessments & Scenarios. Committee on Earth Observation Satellites Disaster Management Support Group, Final Report, NOAA, Dept. Commerce, US
    4. Du, Yun, Yihang Zhang, Feng Ling, Qunming Wang, Wenbo Li, and Xiaodong Li. "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, no. 4 (2016): 354. 
    5. Goodell, C., & Warren, C. (2006). Flood inundation mapping using HEC-RAS. Obras y Proyectos, (2), 18-23.
    6.  Ho, L. T. K., Umitsu, M., & Yamaguchi, Y. (2010). Flood hazard mapping by satellite images and SRTM DEM in the Vu Gia–Thu Bon alluvial plain, Central Vietnam. International archives of the photogrammetry, remote sensing and spatial information science, 38(Part 8), 275-280.
    7.  McFeeters, Stuart K. "Using the normalized difference water index (NDWI) within a geographic information system to detect swimming pools for mosquito abatement: A practical approach." Remote Sensing 5, no. 7 (2013): 3544-3561.
    8. National Geographic. Floods. Available online: https://www.nationalgeographic.com/environment/na tural-disasters/floods/ (accessed on 15 April 2018).
    9. Rai, Praveen Kumar, and Kshitij Mohan. "Remote Sensing data & GIS for flood risk zonation mapping in Varanasi District, India/Utilizarea SIG siteledetectieipentrucartareazonelor de risc la inundatiiîndistrictul Varanasi, India." In Forum Geografic, vol. 13, no. 1, p. 25. University of Craiova, Department of Geography, 2014.
    10. Rastogi, A. K., P. K. Thakur, G. Srinivasa Rao, S. P. Aggarwal, V. K. Dadhwal, and P. Chauhan. "Integrated Flood Study of Bagmati River Basin with Hydro Processing, Flood Inundation Mapping & 1-D Hydrodynamic Modeling Using Remote Sensing and GIS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4 (2018): 165-172.

Recent Article