| Titre | High-Resolution Mapping of Wet Terrain within Discontinuous Permafrost using LiDAR Intensity |
| Auteur | Stevens, C W; Wolfe, S A |
| Source | Permafrost and Periglacial Processes vol. 23, 2012 p. 334-341, https://doi.org/10.1002/ppp.1752 |
| Année | 2012 |
| Séries alt. | Secteur des sciences de la Terre, Contribution externe 20120015 |
| Éditeur | Wiley |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.1002/ppp.1752 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Province | Territoires du Nord-Ouest |
| SNRC | 85J/10 |
| Lat/Long OENS | -115.0000 -114.7500 62.6667 62.5000 |
| Sujets | pergélisol; congélation du sol; glace fossile; températures au sol; télédétection; végétation; milieu hydrologique; types de terrain; inventaires de terrains; géologie des dépôts meubles/géomorphologie;
géophysique; Nature et environnement |
| Illustrations | location maps; plots; photographs; tables |
| Programme | Gestionaire de programme - sciences de changements climatiques, Géosciences de changements climatiques |
| Diffusé | 2012 10 16 |
| Résumé | (disponible en anglais seulement)
Surface hydrology is an important aspect of northern environments on account of the thermal influence of water on permafrost. In this study, we demonstrate the
ability of light detection and ranging (LiDAR) to map wet terrain within an area of discontinuous permafrost adjacent to the Northwest Territories Highway 3, located west of Yellowknife, Canada. Wet terrain was identified from LiDAR intensity
measurements beneath forest canopies and across vegetated surfaces, including peatlands, fens, flooded black spruce and birch forests, and terrain adjacent to the highway embankment. Surface water pathways representing hydrological connections
between water bodies and wet terrain were also identified at locations otherwise indiscernible from optical imagery. Statistical separability between terrain types, and thus the ability to map them, was improved by integrating LiDAR all-return and
bare-earth intensity with colour orthophotos. The average classification accuracy for wet terrain was 93 per cent. These results indicate that LiDAR intensity can be used for local-scale mapping of wet terrain, as required by northern engineers and
scientists. Future integration of LiDAR intensity and elevation measurements may be used to assess changes in surface hydrological conditions impacting permafrost. |
| GEOSCAN ID | 291371 |
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