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Book ChapterDOI

Digital Mapping: Visualisation, Interpretation and Quantification of Landforms

TLDR
This chapter outlines the rationale for operator-based, manual, mapping and highlights two primary constraints upon the detectability of individual landforms: expertise of an interpreter and the data source(s) used.
Abstract
Extensive uptake of geographical information systems (GIS) and techniques for digital processing, along with a proliferation of satellite imagery and digital elevation models (DEMs), has led to a dramatic rise in the use of remote sensing technologies for geomorphological mapping and, specifically, digital mapping. This chapter outlines the rationale for operator-based, manual, mapping and highlights two primary constraints upon the detectability of individual landforms: (i) expertise of an interpreter and (ii) the data source(s) used. An organisational framework is then provided for digital geomorphological mapping within a GIS based upon on-screen digitising of landforms. Such mapping records an abstraction of the underlying data, with landforms digitised as vector features (points, lines and polygons). Methods to best visualise satellite imagery and DEMs are then presented; ‘non-illuminated’ techniques for initial mapping, later augmented by relief shading, are recommended. The final sections review the quantification of landforms (calculations of vector geometry) and potential sources of error (completeness, classification and location).

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Citations
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Book ChapterDOI

Nature and Aims of Geomorphological Mapping

TL;DR: This chapter deals with types, purposes, contents and perspectives of geomorphological mapping, from the widely applied, ‘traditional’ symbol-based maps to the modern geographical information system (GIS)-based, object-oriented geomorphic mapping models, capable of providing reliable multiscale cartographic support to environmental analysis and land planning projects.
Journal ArticleDOI

Multi-modal deep learning for landform recognition

TL;DR: A multi-modal geomorphological data fusion framework which uses deep learning-based methods to improve the performance of landform recognition and experimental results indicate that this multi- modal data fusion-based algorithm obtains much better performance than conventional algorithms.
Journal ArticleDOI

A map of large Canadian eskers from Landsat satellite imagery

TL;DR: In this paper, a 1:5,000,000 scale map of >20,000 large eskers (typically > 2 km long) deposited by the Laurentide Ice Sheet (LIS), mapped from Landsat imagery of Canada, was used to establish a dataset suitable for analysis of esker morphometry and drainage patterns at the ice sheet scale.
Journal ArticleDOI

Palaeoglaciology of the last Irish ice sheet reconstructed from striae evidence

TL;DR: In this paper, a database comprising some ∼5200 individual striation measurements on bedrock surfaces across the island of Ireland was used to produce maps of flowsets corresponding to individual ice flow events during the last (late Devensian) glacial cycle.
Journal ArticleDOI

Asynchronous glacier dynamics during the Antarctic Cold Reversal in central Patagonia

TL;DR: In this paper, the authors present 14 new 10Be cosmogenic exposure ages quantifying asynchronous readvances during the Antarctic Cold Reversal from glaciers in the Baker Valley region of central Patagonia.
References
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Journal ArticleDOI

Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds

TL;DR: In general, filters that estimate local surfaces are found to perform best and should be directed towards the usage of additional data sources, segment-based classification, and self-diagnosis of filter algorithms.
Book

Computer Processing of Remotely-Sensed Images

TL;DR: Computer processing of remote-sensed images, Computer processing of remotely-sensing images, and so on.
Journal ArticleDOI

Methods for the visualization of digital elevation models for landform mapping

TL;DR: A variety of techniques that can visualize a DEM are described and curvature visualization is recommended for initial mapping as this provides a non-illuminated (and therefore unbiased) image and no single visualization method provides complete and unbiased mapping.
Journal ArticleDOI

Map and GIS database of glacial landforms and features related to the last British Ice Sheet

TL;DR: A review of the academic literature and British Geological Survey mapping is employed to produce a "Glacial Map" and accompanying geographic information system (GIS) database, of features related to the last (Devensian) British Ice Sheet as discussed by the authors.
Journal ArticleDOI

Geomorphological mapping of glacial landforms from remotely sensed data : An evaluation of the principal data sources and an assessment of their quality

TL;DR: In this paper, the results of an experiment to compare glacial geomorphology mapped from remotely sensed imagery with 1 ǫ: 10,000-scale field mapping were presented, validated against high-resolution LiDAR imagery of an area glacierized during the Younger Dryas and found to provide an essentially reliable, if not complete, representation of the glacial terrain.
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