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International Journal of Geographical Information Science Volume 27, 2013 - Issue 7: Digital terrain analysis and modelling / Geological applications of digital terrain analysis
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Special issue: Digital terrain analysis and modelling

Quantifying local flow direction uncertainty

Glenn O'Neil Institute of Water Research, Michigan State University, East Lansing, MI, USACorrespondence[email protected]
&
Ashton Shortridge Department of Geography, Michigan State University, East Lansing, MI, USA
Pages 1292-1311 | Received 29 Nov 2011, Published online: 25 Sep 2012

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Jari Hyväluoma. (2017) Reducing the grid orientation dependence of flow routing on square-grid digital elevation models. International Journal of Geographical Information Science 31:11, pages 2272-2285.
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Keith C. Clarke & Boleslo E. Romero. (2017) On the topology of topography: a review. Cartography and Geographic Information Science 44:3, pages 271-282.
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Pin-Chun Huang & Kwan Tun Lee. (2016) Distinctions of geomorphological properties caused by different flow-direction predictions from digital elevation models. International Journal of Geographical Information Science 30:2, pages 168-185.
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XiaoHang Liu, Hai Hu & Peng Hu. (2015) The “M” in digital elevation models. Cartography and Geographic Information Science 42:3, pages 235-243.
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Articles from other publishers (2)

John P. Wilson. 2018. Environmental Applications of Digital Terrain Modeling. Environmental Applications of Digital Terrain Modeling 279 332 .
Konstantinos G. Nikolakopoulos, Christos Choussiafis & Vassileia Karathanassi. (2015) Assessing the quality of DSM from ALOS optical and radar data for automatic drainage extraction. Earth Science Informatics 8:2, pages 293-307.
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