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Multi-Parameter Relief Map from High-Resolution DEMs: A Case Study of Mudstone Badland

Author

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  • Hone-Jay Chu

    (Department of Geomatics, National Cheng Kung University, Tainan City 701, Taiwan)

  • Yi-Chin Chen

    (Department of Geography, National Changhua University of Education, Changhua City 50007, Taiwan)

  • Muhammad Zeeshan Ali

    (Department of Geomatics, National Cheng Kung University, Tainan City 701, Taiwan)

  • Bernhard Höfle

    (Institute of Geography, Heidelberg University, Heidelberg 69047, Germany)

Abstract

Topographic parameters of high-resolution digital elevation models (DEMs) with meter to sub-meter spatial resolution, such as slope, curvature, openness, and wetness index, show the spatial properties and surface characterizations of terrains. The multi-parameter relief map, including two-parameter (2P) or three-parameter (3P) information, can visualize the topographic slope and terrain concavities and convexities in the hue, saturation, and value (HSV) color system. Various combinations of the topographic parameters can be used in the relief map, for instance, using wetness index for upstream representation. In particular, 3P relief maps are integrated from three critical topographic parameters including wetness or aspect, slope, and openness data. This study offers an effective way to explore the combination of topographic parameters in visualizing terrain features using multi-parameter relief maps in badlands and in showing the effects of smoothing and parameter selection. The multi-parameter relief images of high-resolution DEMs clearly show micro-topographic features, e.g., popcorn-like morphology and rill.

Suggested Citation

  • Hone-Jay Chu & Yi-Chin Chen & Muhammad Zeeshan Ali & Bernhard Höfle, 2019. "Multi-Parameter Relief Map from High-Resolution DEMs: A Case Study of Mudstone Badland," IJERPH, MDPI, vol. 16(7), pages 1-12, March.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:7:p:1109-:d:217821
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    References listed on IDEAS

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    1. Álvaro Gómez-Gutiérrez & Christian Conoscenti & Silvia Angileri & Edoardo Rotigliano & Susanne Schnabel, 2015. "Using topographical attributes to evaluate gully erosion proneness (susceptibility) in two mediterranean basins: advantages and limitations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 291-314, November.
    2. Simon J. Dadson & Niels Hovius & Hongey Chen & W. Brian Dade & Meng-Long Hsieh & Sean D. Willett & Jyr-Ching Hu & Ming-Jame Horng & Meng-Chiang Chen & Colin P. Stark & Dimitri Lague & Jiun-Chuan Lin, 2003. "Links between erosion, runoff variability and seismicity in the Taiwan orogen," Nature, Nature, vol. 426(6967), pages 648-651, December.
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    1. Quansheng Li & Feiyue Li & Junting Guo & Li Guo & Shanshan Wang & Yaping Zhang & Mengyuan Li & Chengye Zhang, 2023. "The Synergistic Effect of Topographic Factors and Vegetation Indices on the Underground Coal Mine Utilizing Unmanned Aerial Vehicle Remote Sensing," IJERPH, MDPI, vol. 20(4), pages 1-23, February.

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