2022
DOI: 10.1002/esp.5459
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Enigmatic annular landform on a Miocene planar karst surface, Nullarbor Plain, Australia

Abstract: The Nullarbor Plain is a 200,000 km 2 planar karst surface in southern Australia, underlain by Cenozoic shallow-water limestones. During the Miocene the area was uplifted, and although the plain is generally considered extremely flat, locally, the geomorphology of the Nullarbor Plain retains evidence of earth surface processes across a long, middle Miocene-to-present time span. The accessibility of the recent 0.4 arc-second TanDEM-X digital elevation model (DEM) by the German Aerospace Centre motivated the sea… Show more

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Cited by 3 publications
(1 citation statement)
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“…The karst surface morphology records crucial information about the landform's development stages, geomorphic evolution processes, and the forces that shaped them (Guo & Lin, 2016; Waltham & Fookes, 2005; White, 2002; Zhu, 2009). Therefore, the scientific and automatic classification of karst landforms is the basis for conducting related karst research and plays a vital role in uncovering the landform's geomorphic formation mechanism and surface morphology characteristics (Lipar et al, 2022; Miccadei et al, 2011; Nofal & Abboud, 2016). However, due to the extremely complex surface morphology of karst landforms, their automatic classification is quite difficult (Wu et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…The karst surface morphology records crucial information about the landform's development stages, geomorphic evolution processes, and the forces that shaped them (Guo & Lin, 2016; Waltham & Fookes, 2005; White, 2002; Zhu, 2009). Therefore, the scientific and automatic classification of karst landforms is the basis for conducting related karst research and plays a vital role in uncovering the landform's geomorphic formation mechanism and surface morphology characteristics (Lipar et al, 2022; Miccadei et al, 2011; Nofal & Abboud, 2016). However, due to the extremely complex surface morphology of karst landforms, their automatic classification is quite difficult (Wu et al, 2015).…”
Section: Introductionmentioning
confidence: 99%