Study of slope length (L) extraction based on slope streamline and the comparison of method results
Abstract Slope length is an important factor in soil erosion modeling, and the reasonable automatic extraction of slope length is of great significance in soil erosion research. However, previous studies have mainly focused on the regional scale, and how to effectively extract slope length at the sl...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-03-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-56696-w |
| _version_ | 1797259355085602816 |
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| author | Jiayan Jiang Mingliang Luo Leichao Bai Yunyun Sang Shuo Yang Hui Yang |
| author_facet | Jiayan Jiang Mingliang Luo Leichao Bai Yunyun Sang Shuo Yang Hui Yang |
| author_sort | Jiayan Jiang |
| collection | DOAJ |
| description | Abstract Slope length is an important factor in soil erosion modeling, and the reasonable automatic extraction of slope length is of great significance in soil erosion research. However, previous studies have mainly focused on the regional scale, and how to effectively extract slope length at the slope scale deserves further research. In this study, a slope length extraction algorithm based on slope streamlines method (SSM) is proposed for the slope length extraction problem in geomorphology, and it is compared with three existing slope length calculation methods. The experimental results show that the new method can quickly calculate the length of slope streamlines, and the extracted slope lengths have better accuracy; the coefficients of determination demonstrates a better overall fitting effect of the four extraction methods, with coefficients of determination exceeding 0.7; this indicates that the use of SSM has similar accuracy and stability to other methods in calculating slope lengths. Among all the calculation methods, SSM has a better overall fitting effect for slope length calculation, and the obtained slope length value domain range is relatively small and concentrated in a small range, which expresses the slope length better. |
| first_indexed | 2024-04-24T23:08:06Z |
| format | Article |
| id | doaj.art-63f895f19dc94290940c56c955b6f5e0 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-24T23:08:06Z |
| publishDate | 2024-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-63f895f19dc94290940c56c955b6f5e02024-03-17T12:21:20ZengNature PortfolioScientific Reports2045-23222024-03-0114111410.1038/s41598-024-56696-wStudy of slope length (L) extraction based on slope streamline and the comparison of method resultsJiayan Jiang0Mingliang Luo1Leichao Bai2Yunyun Sang3Shuo Yang4Hui Yang5School of Geographical Sciences, China West Normal UniversitySchool of Geographical Sciences, China West Normal UniversitySchool of Geographical Sciences, China West Normal UniversitySchool of Geographical Sciences, China West Normal UniversitySchool of Geographical Sciences, China West Normal UniversitySchool of Geographical Sciences, China West Normal UniversityAbstract Slope length is an important factor in soil erosion modeling, and the reasonable automatic extraction of slope length is of great significance in soil erosion research. However, previous studies have mainly focused on the regional scale, and how to effectively extract slope length at the slope scale deserves further research. In this study, a slope length extraction algorithm based on slope streamlines method (SSM) is proposed for the slope length extraction problem in geomorphology, and it is compared with three existing slope length calculation methods. The experimental results show that the new method can quickly calculate the length of slope streamlines, and the extracted slope lengths have better accuracy; the coefficients of determination demonstrates a better overall fitting effect of the four extraction methods, with coefficients of determination exceeding 0.7; this indicates that the use of SSM has similar accuracy and stability to other methods in calculating slope lengths. Among all the calculation methods, SSM has a better overall fitting effect for slope length calculation, and the obtained slope length value domain range is relatively small and concentrated in a small range, which expresses the slope length better.https://doi.org/10.1038/s41598-024-56696-wSlope streamlineSlope length extractionInverse terrainDEMLoess Plateau |
| spellingShingle | Jiayan Jiang Mingliang Luo Leichao Bai Yunyun Sang Shuo Yang Hui Yang Study of slope length (L) extraction based on slope streamline and the comparison of method results Scientific Reports Slope streamline Slope length extraction Inverse terrain DEM Loess Plateau |
| title | Study of slope length (L) extraction based on slope streamline and the comparison of method results |
| title_full | Study of slope length (L) extraction based on slope streamline and the comparison of method results |
| title_fullStr | Study of slope length (L) extraction based on slope streamline and the comparison of method results |
| title_full_unstemmed | Study of slope length (L) extraction based on slope streamline and the comparison of method results |
| title_short | Study of slope length (L) extraction based on slope streamline and the comparison of method results |
| title_sort | study of slope length l extraction based on slope streamline and the comparison of method results |
| topic | Slope streamline Slope length extraction Inverse terrain DEM Loess Plateau |
| url | https://doi.org/10.1038/s41598-024-56696-w |
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