Let the riverscape grow! Riverscape rewilding restores lateral connectivity and promotes geomorphic recovery – Data

Contact: L.Daniels.1@research.gla.ac.uk

This data directory contains: 

DEMs:
Pre-restoration Digital Elevation Model (DEM) in 2012, and post-restoration DEMs in 2014, 2016, 2019, 2022 and 2024.

Orthoaerial_images:
Orthoaerial images from October 2016, September 2019, November 2022 and March 2024.

DoD_rasters: 
DEMs of Difference (DoD) outputs generated using Geomorphic Change Detection (GCD) version 7 software http://gcd.riverscapes.net/

DoD_BS
Reach segmented sediment budgets generated using Geomorphic Change Detection (GCD) version 7 software http://gcd.riverscapes.net/

GUT_shapefiles:
Results from application of Geomorphic Unit Tool (GUT). This dataset was generated using GUT software https://gut.riverscapes.net/

LW_shapefiles:
Locations of placed large wood (LW) and recruited LW in 2016, 2019, 2022 and 2024 digitised from orthoaerial images, and for 2012 and 2014 using Vertical Aerial Imagery from GetMapping Ltd. 

ACA_shapefiles:
Active Channel Area (ACA) in 2012, 2014, 2016, 2019, 2022 and 2024 digitised from DEMs, orthoaerial images and Vertical Aerial Imagery from Getmapping Ltd.

Canopy_height_model:
Contains the LiDAR derived Canopy Height Model (CHM) of riverscape vegetation between 0.5 m and 20 m in height.