DJ Milan
Mapping hydraulic biotopes using terrestrial laser scan data of water surface properties
Milan, DJ; Heritage, GL; Large, ARG; Entwistle, NS
Authors
GL Heritage
ARG Large
Prof Neil Entwistle N.S.Entwistle@salford.ac.uk
Professor River Science & Climate Resil
Abstract
For more than a decade, habitat mapping using biotopes (in-channel hydraulically-defi ned habitats) has underpinned
aquatic conservation in the UK through (a) providing baseline information on system complexity and (b) allowing environmental
and ecological change to be monitored and evaluated. The traditional method used is the subjective river habitat or corridor
survey. This has recently been revised to include the fl oodplain via GeoRHS, but issues still exist concerning development of a
national database due to the labour intensive nature of the data collection, subjectivity issues between samplers, temporal changes,
the fuzzy nature of perceived habitats and habitat boundaries. This paper takes an innovative approach to biotope defi nition using
high resolution spatial data to defi ne water surface roughness for two representative reaches of the River South Tyne, Cumbria,
and the River Rede, Northumberland, UK. Data was collected using a terrestrial laser scanner (TLS) and hydraulic variability
simply expressed through assigning a local standard deviation value to a set of adjacent water surface values. Statistical linkage
of these data with biotope locations defi ned visually in the fi eld allowed complete mapping of the surveyed reach defi ning habitat
and biotope areas to the fi ne scale resolution of the TLS data. Despite issues of data loss due to absorption and transmission
through the water, the refl ected signal generated an extremely detailed and objective map of the water surface roughness, which
may be compared with known biotope locations as defi ned by visual identifi cation in the fi eld. The TLS accuracy achieved in
the present study is comparable with those obtained using hyperspectral imagery: with 84% of the pool/glide/marginal deadwater
amalgamated biotope, 88% of riffl es, 57% of runs and 50% of the amalgamated cascade/rapid biotope successfully plotted. It is
clear from this exercise that biotope distribution is more complex than previously mapped using subjective techniques, and based
upon the water surface roughness delimiters presented in this study, the amalgamation of pools with glides and marginal deadwaters,
riffl es with unbroken standing waves, and cascades with rapids, is proposed.
Citation
Milan, D., Heritage, G., Large, A., & Entwistle, N. (2010). Mapping hydraulic biotopes using terrestrial laser scan data of water surface properties. Earth Surface Processes and Landforms, 35(8), 918-931. https://doi.org/10.1002/esp.1948
Journal Article Type | Article |
---|---|
Publication Date | Jan 1, 2010 |
Deposit Date | Dec 21, 2011 |
Journal | Earth Surface Processes and Landforms |
Print ISSN | 0197-9337 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 35 |
Issue | 8 |
Pages | 918-931 |
DOI | https://doi.org/10.1002/esp.1948 |
Publisher URL | http://dx.doi.org/10.1002/esp.1948 |
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