L
Lawrence W. Martz
Researcher at University of Saskatchewan
Publications - 64
Citations - 3435
Lawrence W. Martz is an academic researcher from University of Saskatchewan. The author has contributed to research in topics: Digital elevation model & Structural basin. The author has an hindex of 27, co-authored 64 publications receiving 3176 citations.
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Numerical definition of drainage network and subcatchment areas from digital elevation models
TL;DR: The primary purpose of the algorithms and computer program is to parameterize rapidly drainage network and subcatchment properties from widely available DEMs for subsequent use in hydrologic surface runoff models, watershed discretizations, or statistical and topological evaluation of drainage networks.
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The assignment of drainage direction over flat surfaces in raster digital elevation models
TL;DR: In this paper, the authors proposed a new approach that improves upon current methods of flat surface treatment, based on the recognition that in natural landscapes drainage is generally away from higher and towards lower terrain, to produce a drainage pattern over the flat surface that is topographically consistent and exhibits flow convergence properties.
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The treatment of flat areas and depressions in automated drainage analysis of raster digital elevation models
TL;DR: In this paper, two new algorithms are introduced that are based on more reasonable assumptions about the nature of flat areas and depressions, and produce more realistic results in application, allowing breaching of depression outlets and considering the distribution of both higher and lower elevations in assigning flow directions on flat areas.
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CATCH: a FORTRAN program for measuring catchment area from digital elevation models
Lawrence W. Martz,Eeltje de Jong +1 more
TL;DR: In this paper, a computer program is presented to determine catchment area at every point represented by an element in the elevation matrix under the assumption that water flow over the surface will terminate in depressions.
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An outlet breaching algorithm for the treatment of closed depressions in a raster DEM
TL;DR: In this article, a constrained breaching algorithm is proposed to reduce the number and size of closed depressions in a raster DEM, which can be applied in conjunction with conventional depression filling to provide a more realistic treatment of those depressions that are likely due to overestimation errors.