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Flood data of Nepal on Aug 16, 2017

Updated Date: 9/8/2020 2:35:18 PM

Nepal is one of the most flood affected country in the world. The frequency, intensity and duration of floods has been increased during last few decades. Due to increased population settlements in floodplains and irregular development damage of infrastructure, crop and property has increased creating severe impact on lives and livelihood. Understanding the severity and identification of extent and types of flood damage is highly important to plan effective response. The aim of this study was to develop appropriate methodology to determine extent of flood and damaged areas in near real time basis to support operational response. We have used Sentinel-1 synthetic aperture radar (SAR) images to generate flood extend data for the year 2017.

Flood data of Nepal on Aug 16, 2017
Schema iso19139
Purpose Understanding the flood severity and identification of flood inundation areas.
Descriptive Keyword Flood2017, Sentinel-1, River, Water area (theme) Nepal, Terai, Koshi (place)
Metadata Record Info
Language eng
Charset utf8
Hierarchy Level dataset
Date 2020-09-08T14:35:18
Standard Name North American Profile of ISO 19115:2003
Contact
Name Mr. Sameer Bajracharya Email Sameer.Bajracharya@icimod.org
Organization Name ICIMOD Voice
Position name Research Associate GIS Address
Role author
Identification Info
Title Flood data of Nepal on Aug 16, 2017
Date 2017-08-16
Date Type publication
Abstract Nepal is one of the most flood affected country in the world. The frequency, intensity and duration of floods has been increased during last few decades. Due to increased population settlements in floodplains and irregular development damage of infrastructure, crop and property has increased creating severe impact on lives and livelihood. Understanding the severity and identification of extent and types of flood damage is highly important to plan effective response. The aim of this study was to develop appropriate methodology to determine extent of flood and damaged areas in near real time basis to support operational response. We have used Sentinel-1 synthetic aperture radar (SAR) images to generate flood extend data for the year 2017.
Purpose Understanding the flood severity and identification of flood inundation areas.
Status completed
Charset utf8
Topic Category geoscientificInformation
Spatial Representation Type
Spatial Resolution 30
Cited Responsible Parties
Name Mr. Kabir Uddin Email Kabir.Uddin@icimod.org
Organization Name ICIMOD Voice 977-1-5275222
Position name GIS and Remote Sensing Specialist Address Nepal
Role author
Geographic Extent
Geographic Extent East 85.7524 Geographic Extent West 82.9249
Geographic Extent North 27.5556 Geographic Extent South 25.632
Resource Maintenance Information
Maintenance and update frequency asNeeded
User Defined Maintenance Frequency
Date of Next Update
Legal Constraints
Use Limitation Free to use with attribution to the source. Suggested citation: ICIMOD. (2017). Flood data of Nepal on Aug 16, 2017 [Data set]. ICIMOD. https://doi.org/10.26066/RDS.33650
Use Limitation Citation: Uddin, K.; Matin, M.A.; Meyer, F.J. Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh. Remote Sens. 2019, 11, 1581.
Access Constraints copyright
Use Constraints copyright
Reference System Information
Code WGS 1984
Data Quality Info
Hierarchy level dataset
Distributor Info
Email metadata@icimod.org Organization Name ICIMOD
Voice Position name
Address Role distributor