Radar derived seasonal surface water maps for three Indian districts (Shivamogga, Sindhudurg, Wayanad), 2017-2018

• Published by: Environmental Information Data Centre
• Last updated: 14 September 2024
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

Data provided are monthly surface water layers extracted from Sentinel1A SAR data for 3 districts in India (Shivamogga, Sindhudurg, Wayanad) for the year 2017 and 2018. Surface water body layers were mapped using an average monthly threshold value extracted from the image backscatter histogram. The average threshold value excluded the monsoon months due to the difference in water and not water area. The threshold value was slightly lesser than the mean threshold value. The end product was validated using field data which resulted in user and producer accuracies. Monthly surface water body layers were not produced for a few months due to the non-availability of Sentinel 1 data. The work was supported by MRC, AHRC, BBSRC, ESRC and NERC [grant number MR/P024335/1] and NERC - SUNRISE project [grant number NE/R000131/1] Full details about this dataset can be found at https://doi.org/10.5285/3c23fea1-5b27-4b01-b9ef-fc13346cfedc

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Link to the data	Format	File added	Data preview
Download the data	N/A	14 September 2024	Not available
Supporting information	ZIP	14 September 2024	Not available

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• Added to data.gov.uk: 2024-09-13
• Access contraints: If you reuse this data, you should cite: Uday, N.G. , Purse, B., Vanak, A.T., Samrat, A., Chaudhary, A., Gerard, F. (2022). Radar derived seasonal surface water maps for three Indian districts (Shivamogga, Sindhudurg, Wayanad), 2017-2018. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/3c23fea1-5b27-4b01-b9ef-fc13346cfedc
• Harvest GUID: 3c23fea1-5b27-4b01-b9ef-fc13346cfedc
• Extent: Latitude: 16.67° to 11.38°
• Extent: Longitude: 73.21° to 76.47°
• Dataset reference date: 2022-02-15 (publication)
• Responsible party: (author, pointOfContact, custodian, publisher, owner)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

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