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Auteur J.B. Lindsay |
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Modelling surface drainage patterns in altered landscapes using LiDAR / J.B. Lindsay in International journal of geographical information science IJGIS, vol 29 n° 3 (March 2015)
[article]
Titre : Modelling surface drainage patterns in altered landscapes using LiDAR Type de document : Article/Communication Auteurs : J.B. Lindsay, Auteur ; K. Dhun, Auteur Année de publication : 2015 Article en page(s) : pp 397 - 411 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] modèle numérique de surface
[Termes IGN] Ontario (Canada)
[Termes IGN] réseau hydrographiqueRésumé : (Auteur) The detailed topographic information contained in light detection and ranging (LiDAR) digital elevation models (DEMs) can present significant challenges for modelling surface drainage patterns. These data frequently represent anthropogenic infrastructure, such as road embankments and drainage ditches. While LiDAR DEMs can improve estimates of catchment boundaries and surface flow paths, modelling efforts are often confounded difficulties associated with incomplete representation of infrastructure. The inability of DEMs to represent embankment underpasses (e.g. bridges, culverts) and the problems with existing automated techniques for dealing with these problems can lead to unsatisfactory results. This is often dealt with by manually modifying LiDAR DEMs to incorporate the effects of embankment underpasses. This paper presents a new DEM pre-processing algorithm for removing the artefact dams created by infrastructure in sites of embankment underpasses as well as enforcing flow along drainage ditches. The application of the new algorithm to a large LiDAR DEM of a site in Southwestern Ontario, Canada, demonstrated that the least-cost breaching method used by the algorithm could reliably enforce drainage pathways while minimizing the impact to the original DEM. Numéro de notice : A2015-584 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.975715 En ligne : http://www.tandfonline.com/doi/full/10.1080/13658816.2014.975715 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77871
in International journal of geographical information science IJGIS > vol 29 n° 3 (March 2015) . - pp 397 - 411[article]Sensitivity of channel mapping techniques to uncertainty in digital elevation data / J.B. Lindsay in International journal of geographical information science IJGIS, vol 20 n° 6 (july 2006)
[article]
Titre : Sensitivity of channel mapping techniques to uncertainty in digital elevation data Type de document : Article/Communication Auteurs : J.B. Lindsay, Auteur Année de publication : 2006 Article en page(s) : pp 669 - 692 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] cartographie automatique
[Termes IGN] données lidar
[Termes IGN] incertitude géométrique
[Termes IGN] modèle numérique de surface
[Termes IGN] réseau de drainage
[Termes IGN] réseau hydrographiqueRésumé : (Auteur) Digital elevation data are now commonly used to map channel networks automatically. This paper evaluates the sensitivity of six methods of extracting channel networks from digital elevation models (DEMs) to elevation error. As such, the robustness of channel mapping techniques against noisy data was evaluated and not the accuracy of DEM extracted channel networks. Stochastic simulations were used in combination with a fine-resolution LiDAR DEM of a small upland catchment to assess the robustness of each of the channel mapping algorithms. Findings showed that the four tested methods that were based on identifying patterns or positions in the surface morphology were more sensitive to elevation error than the two methods that were based on simulating overland flow and channelization processes, particularly at lower error magnitudes. While the morphology-based channel-mapping methods were highly sensitive to the degree of spatial autocorrelation in elevation error fields, the channelization based methods were relatively insensitive. Drainage network extent and the geometry of exterior stream channels were both found to be greatly influenced by low to moderate degrees of topographic error. Although LiDAR data were found to provide a sufficient resolution for mapping fine-scale headwater channels, the greater surface roughness did present challenges for automated channel-mapping techniques. Copyright Taylor & Francis Numéro de notice : A2006-240 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600661433 En ligne : https://doi.org/10.1080/13658810600661433 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27967
in International journal of geographical information science IJGIS > vol 20 n° 6 (july 2006) . - pp 669 - 692[article]Réservation
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