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Slope Scaling Effect and Slope-Conversion-Atlas for Typical Water Erosion Regions in China

Author

Listed:
  • Xue Chen

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China)

  • Guokun Chen

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
    Key Laboratory of Plateau Remote Sensing, Yunnan Provincial Department of Education, Kunming 650093, China)

  • Junxin Feng

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China)

  • Jingjing Zhao

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China)

  • Yiwen Wang

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China)

Abstract

Slope has obvious scale-dependent characteristics and it changes with the change in DEM resolution, which brings uncertainty to the evaluation process of regional resource and environment. In this paper, one typical county in each of the six water erosion regions in China was selected as the sample area, respectively. Based on DEM data of ALOS DEM, ASTER GDEM and SRTM DEM with different spatial resolutions, slope characteristics, such as gradient, eigenvalue, frequency and cumulative frequency curves, were calculated by using the third-order inverse distance square weighted difference algorithm, to explore the ability of depicting terrain by these three DEM data. Based on the idea of geo-information map, the “surface-slope conversion atlas” under different resolutions was constructed to achieve the grading correction of slope extraction under low resolution. The results showed that: (1) with the resolution of DEM decreases, the slope information of each area tends to be more generalized and gradually concentrated. The slope frequency curve gradually changed from “tall and thin” to “short and fat”, and the peak of the cumulative frequency curve moved to the low-slope area. Six sample areas showed different degrees of slope reduction. (2) In the process of slope grading correction, except for Maoxian, the proportion of low-resolution results converted to medium and low slope grades (0°–25°) is large. (3) The slope spectrum conversion method has a good correction effect on the errors generated by the slope extraction results of DEM 90 and DEM 30 , and the correction rates reached 80% and 90%, respectively. A slope conversion atlas can effectively improve the expression ability of low-resolution DEM data on topography, which can provide a basis for regional resource and environment evaluation, and territorial space optimization.

Suggested Citation

  • Xue Chen & Guokun Chen & Junxin Feng & Jingjing Zhao & Yiwen Wang, 2023. "Slope Scaling Effect and Slope-Conversion-Atlas for Typical Water Erosion Regions in China," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3789-:d:1073533
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    References listed on IDEAS

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    1. Maryam Roostaee & Zhiqiang Deng, 2020. "Effects of Digital Elevation Model Resolution on Watershed-Based Hydrologic Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2433-2447, June.
    2. Zehui Wang & Ding Luo & Kangning Xiong & Xing Gu & Zhenzhen Zhu, 2022. "Studies on Hydrological Processes on Karst Slopes for Control of Soil and Water Loss," Sustainability, MDPI, vol. 14(10), pages 1-14, May.
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