R files for "A Remote Sensing Based Integrated Approach to Quantify the Impact of Fluvial and Pluvial Flooding in an Urban Catchment"
dc.contributor.author | Muthusamy, Manoranjan | |
dc.date.accessioned | 2024-06-10T05:55:10Z | |
dc.date.available | 2024-06-10T05:55:10Z | |
dc.date.issued | 2020-07-10 12:40 | |
dc.description.abstract | This folder contains all R files that was used for the analyses required for the following publication Muthusamy, Manoranjan, Monica Rivas Casado, Gloria Salmoral, Tracy Irvine, and Paul Leinster. 2019. €œA Remote Sensing Based Integrated Approach to Quantify the Impact of Fluvial and Pluvial Flooding in an Urban Catchment.€ Remote Sensing . doi:10.3390/rs11050577. Note: This folder contains DEM data downloaded from Environment Agency, UK. This metadata record is for Approval for Access product AfA458. Attribution statement: (c) Environment Agency copyright and/or database right 2019. All rights reserved. | |
dc.description.sponsorship | This research was funded by the Natural Environment Research Council, grant numbers NE/N020316/1 and NE/P018890/1 and the Engineering and Physical Sciences Research Council, grant €œImpact Acceleration Award€ and grant number EP/P02839X/1 (Emergency flood planning and management using unmanned aircraft systems). | |
dc.identifier.citation | Muthusamy, Manoranjan (2020). R files for "A Remote Sensing Based Integrated Approach to Quantify the Impact of Fluvial and Pluvial Flooding in an Urban Catchment". Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.12220898 | |
dc.identifier.doi | 10.17862/cranfield.rd.12220898 | |
dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/22309 | |
dc.publisher | Cranfield University | |
dc.relation.isreferencedby | https://www.mdpi.com/2072-4292/11/5/577' | |
dc.rights | CC BY 4.0 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | ArcGIS' | |
dc.subject | 'remote sensing data' | |
dc.subject | 'Environmental Science' | |
dc.subject | 'Hydrology' | |
dc.subject | 'Statistics' | |
dc.title | R files for "A Remote Sensing Based Integrated Approach to Quantify the Impact of Fluvial and Pluvial Flooding in an Urban Catchment" | |
dc.type | Dataset |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Muthusamy_at_al_2018_RFiles.zip
- Size:
- 26.21 MB
- Format:
- Unknown data format