Parallel non-divergent flow accumulation for trillion cell digital elevation models on desktops or clusters-Reference-Cited by-同舟云学术

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Parallel non-divergent flow accumulation for trillion cell digital elevation models on desktops or clusters

Published:2017-06 Issue: Volume:92 Page:202-212
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Barnes Richard^ORCID

Funder

National Science Foundation's Graduate Research Fellowship

Department of Energy's Computational Science Graduate Fellowship

National Science Foundation

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference29 articles.

1. Efficient flow computation on massive grid terrain datasets;Arge;GeoInformatica,2003

2. Parallel priority-flood depression filling for trillion cell digital elevation models on desktops or clusters;Barnes;Comput. Geosciences,2016

3. An efficient assignment of drainage direction over flat surfaces in raster digital elevation models;Barnes;Comput. Geosciences,2014

4. Priority-flood: an optimal depression-filling and watershed-labeling algorithm for digital elevation models;Barnes;Comput. Geosciences,2014

5. A very efficient O(n), implicit and parallel method to solve the stream power equation governing fluvial incision and landscape evolution;Braun;Geomorphology,2013

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