R files for "A Remote Sensing Based Integrated Approach to Quantify the Impact of Fluvial and Pluvial Flooding in an Urban Catchment"
Date
2020-07-10 12:40
Authors
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Cranfield University
Department
Type
Dataset
ISSN
Format
Free to read from
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
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.
Description
Software Description
Software Language
Github
Keywords
ArcGIS', 'remote sensing data', 'Environmental Science', 'Hydrology', 'Statistics'
DOI
10.17862/cranfield.rd.12220898
Rights
CC BY 4.0
Relationships
Relationships
Supplements
Funder/s
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).