Defining optimal DEM resolutions and point densities for modelling hydrologically sensitive areas in agricultural catchments dominated by microtopography
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- 作者：I.A. Thomasa ; b ; ianathomas@hotmail.co.uk" class="auth_mail" title="E-mail the corresponding author ; ian.thomas@teagasc.ie" class="auth_mail" title="E-mail the corresponding author ; P. Jordana ; b ; p.jordan@ulster.ac.uk" class="auth_mail" title="E-mail the corresponding author ; O. Shinea ; oliver.shine@teagasc.ie" class="auth_mail" title="E-mail the corresponding author ; O. Fentonc ; owen.fenton@teagasc.ie" class="auth_mail" title="E-mail the corresponding author ; P.-E. Mellandera ; erik.mellander@teagasc.ie" class="auth_mail" title="E-mail the corresponding author ; P. Dunlopb ; p.dunlop@ulster.ac.uk" class="auth_mail" title="E-mail the corresponding author ; P.N.C. Murphyd ; e ; paul.murphy@ucd.ie" class="auth_mail" title="E-mail the corresponding author
- 关键词：Diffuse pollution ; Surface runoff ; Microtopography ; Critical source area ; LiDAR ; DEM
- 刊名：International Journal of Applied Earth Observation and Geoinformation
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：54
- 期：Complete
- 页码：38-52
- 全文大小：11446 K
文摘
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Microtopography was captured in 0.25–2 m LiDAR DEMs but not in 5 m DEMs.
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1–2 m LiDAR DEMs were optimal for modelling hydrologically sensitive areas.
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Breakthrough and delivery points were observed and predicted along runoff pathways.
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Reductions from 40 to 2 points m−2 did not affect elevation accuracy of 1–2 m DEMs.
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The approach could significantly improve CSA identification and targeted mitigation.