Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs
Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms. In this research, several typical loess landform areas in the Chin...
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MDPI AG
2021-10-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/10/693 |
| _version_ | 1797514361084837888 |
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| author | Hong Wei Sijin Li Chenrui Li Fei Zhao Liyang Xiong Guoan Tang |
| author_facet | Hong Wei Sijin Li Chenrui Li Fei Zhao Liyang Xiong Guoan Tang |
| author_sort | Hong Wei |
| collection | DOAJ |
| description | Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms. In this research, several typical loess landform areas in the Chinese Loess Plateau were selected, and the object-oriented image analysis (OBIA) method was employed to identify the basic loess landform types. Three-dimensional (3D) landscape pattern indices were introduced on this foundation to measure the morphological and structural features of individual loess landform objects in more detail. Compared with the traditional two-dimensional (2D) landscape pattern indices, the indices consider the topographic features, thereby providing more vertical topographic information. Furthermore, the evolution modes between different loess landform types were discussed. Results show that the OBIA method achieved satisfying classification results with an overall accuracy of 88.12%. There are evident differences in quantitative morphological indicators among loess landform types, especially in indicators such as total length of edge, mean patch size, landscape shape index, and edge dimension index. Meanwhile, significant differences are also found in the combination of loess landform types corresponding to different landform development stages. The degree of surface erosion became increasingly significant as loess landforms developed, loess tableland area rapidly reduced or even vanished, and the dominant loess landform types changed to loess ridge and loess hill. Hence, in the reconstruction and management of the Loess Plateau, the loess tableland should be the key protected loess landform type. These preliminary results are helpful to further understand the development process of loess landforms and provide a certain reference for regional soil and water conservation. |
| first_indexed | 2024-03-10T06:30:32Z |
| format | Article |
| id | doaj.art-23b28383f2ba4354928eb197ee7a0711 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T06:30:32Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
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| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-23b28383f2ba4354928eb197ee7a07112023-11-22T18:30:06ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-10-01101069310.3390/ijgi10100693Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMsHong Wei0Sijin Li1Chenrui Li2Fei Zhao3Liyang Xiong4Guoan Tang5School of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaQuantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms. In this research, several typical loess landform areas in the Chinese Loess Plateau were selected, and the object-oriented image analysis (OBIA) method was employed to identify the basic loess landform types. Three-dimensional (3D) landscape pattern indices were introduced on this foundation to measure the morphological and structural features of individual loess landform objects in more detail. Compared with the traditional two-dimensional (2D) landscape pattern indices, the indices consider the topographic features, thereby providing more vertical topographic information. Furthermore, the evolution modes between different loess landform types were discussed. Results show that the OBIA method achieved satisfying classification results with an overall accuracy of 88.12%. There are evident differences in quantitative morphological indicators among loess landform types, especially in indicators such as total length of edge, mean patch size, landscape shape index, and edge dimension index. Meanwhile, significant differences are also found in the combination of loess landform types corresponding to different landform development stages. The degree of surface erosion became increasingly significant as loess landforms developed, loess tableland area rapidly reduced or even vanished, and the dominant loess landform types changed to loess ridge and loess hill. Hence, in the reconstruction and management of the Loess Plateau, the loess tableland should be the key protected loess landform type. These preliminary results are helpful to further understand the development process of loess landforms and provide a certain reference for regional soil and water conservation.https://www.mdpi.com/2220-9964/10/10/693object-oriented image analysis3D landscape indicesmorphological differencelandform classificationlandform evolution |
| spellingShingle | Hong Wei Sijin Li Chenrui Li Fei Zhao Liyang Xiong Guoan Tang Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs ISPRS International Journal of Geo-Information object-oriented image analysis 3D landscape indices morphological difference landform classification landform evolution |
| title | Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs |
| title_full | Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs |
| title_fullStr | Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs |
| title_full_unstemmed | Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs |
| title_short | Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs |
| title_sort | quantification of loess landforms from three dimensional landscape pattern perspective by using dems |
| topic | object-oriented image analysis 3D landscape indices morphological difference landform classification landform evolution |
| url | https://www.mdpi.com/2220-9964/10/10/693 |
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