Creators
Han She Lim,Paul Nelson,Alexander Cheesman
Description

The surface drain network (drain line) GIS dataset is key to understanding the nature and magnitude of runoff contributions of palaeochannels to surface drainage in flat agricultural areas such as Babinda. This project titled ‘Modelling unseen flow pathways of water and contaminants in the Wet Tropics: the role of alluvial palaeochannels’ was funded by the Queensland Government Department of Environment and Science, Queensland Water Modelling Network. The drain lines were obtained from 1x1 m LiDAR topographic data, drone imagery and analysis of the LiDAR topographic data (DEM analysis using commands such as flow direction, flow accumulation in standard GIS software). Because the study area was very flat, some drain lines were digitised after checking against high resolution drone imagery provided by QLD Government Department of Agriculture and Fisheries.

Software/equipment used to create/collect the data: ArcGIS Pro

Software/equipment used to manipulate/analyse the data: ArcGIS (ArcMap) and ArcGIS Pro

Publication Date
11 Aug 2023
Keywords
surface drain lines
Access Conditions
Open
Under Embargo
DOI
10.25903/bf6q-1q13
Citation
Lim, Han She; Nelson, Paul; Cheesman, Alexander; Bulstrode, Marcus; Rashid, Raf (2023): Russell Mulgrave surface drain lines. James Cook University. https://doi.org/10.25903/bf6q-1q13
Url
https://researchdata.jcu.edu.au/published/f7078fa030f611eea020c9a81293027e