Automated mapping of relict patterned ground:an approach to evaluate morphologically subdued landforms using unmanned-aerial-vehicle and structure-from-motion technologies
| Autor: | Stephanie C. Mills, Ralph Fyfe, Caroline Clason, Anne E. Mather, Martin Stokes, Timothy T. Barrows |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
geography
geography.geographical_feature_category Geography Landform Earth science 05 social sciences Geography Planning and Development 0507 social and economic geography Climate change Earth and Planetary Sciences (miscellaneous) Spatial ecology General Earth and Planetary Sciences Structure from motion 050703 geography Geology Patterned ground |
| Zdroj: | Mather, A E, Fyfe, R M, Clason, C C, Stokes, M, Mills, S & Barrows, T T 2018, ' Automated mapping of relict patterned ground : an approach to evaluate morphologically subdued landforms using unmanned-aerial-vehicle and structure-from-motion technologies ', Progress in Physical Geography . https://doi.org/10.1177/0309133318788966 |
| DOI: | 10.1177/0309133318788966 |
| Popis: | Relict landforms provide a wealth of information on the evolution of the modern landscape and climate change in the past. To improve understanding of the origin and development of these landforms we need better spatial measurements across a variety of scales. This can be challenging using conventional surveying techniques due to difficulties in landform recognition on the ground (e.g. weak visual/topographic expression) and spatially variable areas of interest. Here we explore the appropriateness of existing remote sensing datasets (aerial LiDAR and aerial photography) and newly acquired unmanned aerial vehicle (UAV) imagery of a test site on the upland of Dartmoor in SW England (Leeden Tor) for the recognition and automated mapping of relict patterned ground composed of stripes and polygons. We find that the recognition of these landforms is greatly enhanced by automated mapping using spectral two-dimensional imagery. Image resolution is important, with the recognition of elements (boulders) of |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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