Supervised classification of landforms in Arctic mountains

Huw Thomas Mithan (Lead / Corresponding author), Tristram Charles Hales, Peter John Cleall

Research output: Contribution to journalArticle

33 Downloads (Pure)

Abstract

Erosional and sediment fluxes from Arctic mountains are lower than for temperate mountain ranges due to the influence of permafrost on geomorphic processes. As permafrost extent declines in Arctic mountains, the spatial distribution of geomorphic processes and rates will change. Improved access to high-quality remotely sensed topographic data in the Arctic provides an opportunity to develop our understanding of the spatial distribution of Arctic geomorphological processes and landforms. Utilizing newly available Arctic digital topography data, we have developed a method for geomorphic mapping using a pixel-based linear discriminant analysis method that could be applied across Arctic mountains. We trained our classifier using landforms within the Adventdalen catchment in Svalbard and applied it to two adjacent catchments and one in Alaska. Slope gradient, elevation–relief ratio and landscape roughness distinguish landforms to a first order with >80% accuracy. Our simple classification system has a similar overall accuracy when compared across our field sites. The simplicity and robustness of our classification suggest that it is possible to use it to understand the distribution of Arctic mountain landforms using extant digital topography data and without specialized classifications. Our preliminary assessments of the distribution of geomorphic processes within these catchments demonstrate the importance of post-glacial hillslope processes in governing sediment movement in Arctic mountains.

Original languageEnglish
JournalPermafrost and Periglacial Processes
Early online date11 Jul 2019
DOIs
Publication statusE-pub ahead of print - 11 Jul 2019

Fingerprint

image classification
landform
mountain
catchment
permafrost
topography
spatial distribution
discriminant analysis
hillslope
Postglacial
sediment
roughness
pixel
geomorphic process
method
distribution

Keywords

  • Alaska, geomorphometry
  • Svalbard
  • linear discriminant analysis
  • periglacial landforms
  • supervised classification

Cite this

Mithan, Huw Thomas ; Hales, Tristram Charles ; Cleall, Peter John. / Supervised classification of landforms in Arctic mountains. In: Permafrost and Periglacial Processes. 2019.
@article{1b239a1de137497d84eae6eb61b29189,
title = "Supervised classification of landforms in Arctic mountains",
abstract = "Erosional and sediment fluxes from Arctic mountains are lower than for temperate mountain ranges due to the influence of permafrost on geomorphic processes. As permafrost extent declines in Arctic mountains, the spatial distribution of geomorphic processes and rates will change. Improved access to high-quality remotely sensed topographic data in the Arctic provides an opportunity to develop our understanding of the spatial distribution of Arctic geomorphological processes and landforms. Utilizing newly available Arctic digital topography data, we have developed a method for geomorphic mapping using a pixel-based linear discriminant analysis method that could be applied across Arctic mountains. We trained our classifier using landforms within the Adventdalen catchment in Svalbard and applied it to two adjacent catchments and one in Alaska. Slope gradient, elevation–relief ratio and landscape roughness distinguish landforms to a first order with >80{\%} accuracy. Our simple classification system has a similar overall accuracy when compared across our field sites. The simplicity and robustness of our classification suggest that it is possible to use it to understand the distribution of Arctic mountain landforms using extant digital topography data and without specialized classifications. Our preliminary assessments of the distribution of geomorphic processes within these catchments demonstrate the importance of post-glacial hillslope processes in governing sediment movement in Arctic mountains.",
keywords = "Alaska, geomorphometry, Svalbard, linear discriminant analysis, periglacial landforms, supervised classification",
author = "Mithan, {Huw Thomas} and Hales, {Tristram Charles} and Cleall, {Peter John}",
year = "2019",
month = "7",
day = "11",
doi = "10.1002/ppp.2015",
language = "English",
journal = "Permafrost and Periglacial Processes",
issn = "1045-6740",
publisher = "Wiley",

}

Supervised classification of landforms in Arctic mountains. / Mithan, Huw Thomas (Lead / Corresponding author); Hales, Tristram Charles; Cleall, Peter John.

In: Permafrost and Periglacial Processes, 11.07.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Supervised classification of landforms in Arctic mountains

AU - Mithan, Huw Thomas

AU - Hales, Tristram Charles

AU - Cleall, Peter John

PY - 2019/7/11

Y1 - 2019/7/11

N2 - Erosional and sediment fluxes from Arctic mountains are lower than for temperate mountain ranges due to the influence of permafrost on geomorphic processes. As permafrost extent declines in Arctic mountains, the spatial distribution of geomorphic processes and rates will change. Improved access to high-quality remotely sensed topographic data in the Arctic provides an opportunity to develop our understanding of the spatial distribution of Arctic geomorphological processes and landforms. Utilizing newly available Arctic digital topography data, we have developed a method for geomorphic mapping using a pixel-based linear discriminant analysis method that could be applied across Arctic mountains. We trained our classifier using landforms within the Adventdalen catchment in Svalbard and applied it to two adjacent catchments and one in Alaska. Slope gradient, elevation–relief ratio and landscape roughness distinguish landforms to a first order with >80% accuracy. Our simple classification system has a similar overall accuracy when compared across our field sites. The simplicity and robustness of our classification suggest that it is possible to use it to understand the distribution of Arctic mountain landforms using extant digital topography data and without specialized classifications. Our preliminary assessments of the distribution of geomorphic processes within these catchments demonstrate the importance of post-glacial hillslope processes in governing sediment movement in Arctic mountains.

AB - Erosional and sediment fluxes from Arctic mountains are lower than for temperate mountain ranges due to the influence of permafrost on geomorphic processes. As permafrost extent declines in Arctic mountains, the spatial distribution of geomorphic processes and rates will change. Improved access to high-quality remotely sensed topographic data in the Arctic provides an opportunity to develop our understanding of the spatial distribution of Arctic geomorphological processes and landforms. Utilizing newly available Arctic digital topography data, we have developed a method for geomorphic mapping using a pixel-based linear discriminant analysis method that could be applied across Arctic mountains. We trained our classifier using landforms within the Adventdalen catchment in Svalbard and applied it to two adjacent catchments and one in Alaska. Slope gradient, elevation–relief ratio and landscape roughness distinguish landforms to a first order with >80% accuracy. Our simple classification system has a similar overall accuracy when compared across our field sites. The simplicity and robustness of our classification suggest that it is possible to use it to understand the distribution of Arctic mountain landforms using extant digital topography data and without specialized classifications. Our preliminary assessments of the distribution of geomorphic processes within these catchments demonstrate the importance of post-glacial hillslope processes in governing sediment movement in Arctic mountains.

KW - Alaska, geomorphometry

KW - Svalbard

KW - linear discriminant analysis

KW - periglacial landforms

KW - supervised classification

UR - http://www.scopus.com/inward/record.url?scp=85068737944&partnerID=8YFLogxK

U2 - 10.1002/ppp.2015

DO - 10.1002/ppp.2015

M3 - Article

JO - Permafrost and Periglacial Processes

JF - Permafrost and Periglacial Processes

SN - 1045-6740

ER -