Abstract
Spatial information technology has the capability to monitor and assess natural calamities such as floods, droughts, forest fires, cyclones etc. Floods are one of the most devastating natural calamities, causing extensive damage to life, property, soil, biodiversity, cropland etc. Floods are weather-related disasters, which are usually difficult to predict as definite trends in river basins, especially with regard to the time and place of occurrence, are not stable. The present study deals with the application of remote sensing and GIS in flood monitoring and assessment of flood-inundated areas in the middle Ganga plain in Bihar, India. Overlay analysis and image classification methods have been used for better understanding the flood-inundated areas in kharif as well as rabi seasons. The analysis reveals 238,191.6 ha of land affected by flood. Near real-time information can be very useful for suitable planning that can minimize damage from floods.
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Kumar, D., Singh, R.B., Kaur, R. (2019). SDG 13: Case Study – Monitoring and Assessment of Flood-Inundated Areas. In: Spatial Information Technology for Sustainable Development Goals . Sustainable Development Goals Series. Springer, Cham. https://doi.org/10.1007/978-3-319-58039-5_11
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DOI: https://doi.org/10.1007/978-3-319-58039-5_11
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