Slope is one of the crucial terrain variables in spatial analysis and land use planning, especially in the Loess Plateau area of China which is suffering from serious soil erosion. DEM based slope extracting method ha...Slope is one of the crucial terrain variables in spatial analysis and land use planning, especially in the Loess Plateau area of China which is suffering from serious soil erosion. DEM based slope extracting method has been widely accepted and applied in practice. However slope accuracy derived from this method usually does not match with its popularity. A quantitative simulation to slope data uncertainty is important not only theoretically but also necessarily to applications. This paper focuses on how resolution and terrain complexity impact on the accuracy of mean slope extracted from DEMs of different resolutions in the Loess Plateau of China. Six typical geomorphologic areas are selected as test areas, representing different terrain types from smooth to rough. Their DEMs are produced from digitizing contours of 1:10,000 scale topographic maps. Field survey results show that 5 m should be the most suitable grid size for representing slope in the Loess Plateau area. Comparative and math-simulation methodology was employed for data processing and analysis. A linear correlativity between mean slope and DEM resolution was found at all test areas, but their regression coefficients related closely with the terrain complexity of the test areas. If taking stream channel density to represent terrain complexity, mean slope error could be regressed against DEM resolution (X) and stream channel density (S) at 8 resolution levels and expressed as (0.00158+0.031S-0.0325)X-0.0045S2-0.155S+0.1625, with a R2 value of over 0.98. Practical tests also show an effective result of this model in applications. The new development methodology applied in this study should be helpful to similar researches in spatial data uncertainty investigation.展开更多
This paper focused on the extracting method of single slope shape. Applying the software of ARCGIS 9.0, DEM (digital elevation model) was established. From the DEM, topographic characters, including valleys and ridges...This paper focused on the extracting method of single slope shape. Applying the software of ARCGIS 9.0, DEM (digital elevation model) was established. From the DEM, topographic characters, including valleys and ridges were extracted. Some valley lines were extended in order to intersect with the ridges nearby. All slope were divided into different slope surface, which enclosed by valleys and ridges. And the slope surface shapes were defined three types, Line Slope, Upper-concave and lower-convex slope, Upper-convex and lower-concave slope, according to their functions. And the judge formula of single slope surface shape was brought forward. Taking Wanzhou District as test area, it indicates that auto-extracting method of single slope surface shape has high precision relatively. This study can provide references to the studies of region geological disasters prevention and cure.展开更多
In this study, non-cumulative slope length(NCSL) calculation method and spatial analytical calculation(SAC) method were respectively applied to extract slope length and slope length factor from 10 sample areas, which ...In this study, non-cumulative slope length(NCSL) calculation method and spatial analytical calculation(SAC) method were respectively applied to extract slope length and slope length factor from 10 sample areas, which are located in Ansai County, north Shaanxi Province. The comparison of computation precision between variable DEM resolutions showed that NCSL was superior to SAC entirely. And the results were best when the DEM resolutions were 5 and 10 m. Besides, the results of slope length factor were nearly the same under the two conditions. So DEM of 10 m resolution can be used to extract slope length.展开更多
基金National Natural Science Foundation of China,No.40271089China Education Ministry Science and Technique Key Research Project,No.0111High-visiting Scholoar Fund of the Key Laboratory of Continental Dynamics,Ministry of Education,China
文摘Slope is one of the crucial terrain variables in spatial analysis and land use planning, especially in the Loess Plateau area of China which is suffering from serious soil erosion. DEM based slope extracting method has been widely accepted and applied in practice. However slope accuracy derived from this method usually does not match with its popularity. A quantitative simulation to slope data uncertainty is important not only theoretically but also necessarily to applications. This paper focuses on how resolution and terrain complexity impact on the accuracy of mean slope extracted from DEMs of different resolutions in the Loess Plateau of China. Six typical geomorphologic areas are selected as test areas, representing different terrain types from smooth to rough. Their DEMs are produced from digitizing contours of 1:10,000 scale topographic maps. Field survey results show that 5 m should be the most suitable grid size for representing slope in the Loess Plateau area. Comparative and math-simulation methodology was employed for data processing and analysis. A linear correlativity between mean slope and DEM resolution was found at all test areas, but their regression coefficients related closely with the terrain complexity of the test areas. If taking stream channel density to represent terrain complexity, mean slope error could be regressed against DEM resolution (X) and stream channel density (S) at 8 resolution levels and expressed as (0.00158+0.031S-0.0325)X-0.0045S2-0.155S+0.1625, with a R2 value of over 0.98. Practical tests also show an effective result of this model in applications. The new development methodology applied in this study should be helpful to similar researches in spatial data uncertainty investigation.
文摘This paper focused on the extracting method of single slope shape. Applying the software of ARCGIS 9.0, DEM (digital elevation model) was established. From the DEM, topographic characters, including valleys and ridges were extracted. Some valley lines were extended in order to intersect with the ridges nearby. All slope were divided into different slope surface, which enclosed by valleys and ridges. And the slope surface shapes were defined three types, Line Slope, Upper-concave and lower-convex slope, Upper-convex and lower-concave slope, according to their functions. And the judge formula of single slope surface shape was brought forward. Taking Wanzhou District as test area, it indicates that auto-extracting method of single slope surface shape has high precision relatively. This study can provide references to the studies of region geological disasters prevention and cure.
基金Supported by China Postdoctoral Science Foundation(2019T120114,2019M650756)National Natural Science Foundation of China(41801064,71790611)Central Asia Atmosphere Science Research Fund(CAAS201804)
文摘In this study, non-cumulative slope length(NCSL) calculation method and spatial analytical calculation(SAC) method were respectively applied to extract slope length and slope length factor from 10 sample areas, which are located in Ansai County, north Shaanxi Province. The comparison of computation precision between variable DEM resolutions showed that NCSL was superior to SAC entirely. And the results were best when the DEM resolutions were 5 and 10 m. Besides, the results of slope length factor were nearly the same under the two conditions. So DEM of 10 m resolution can be used to extract slope length.
