Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau
An accurate geomorphometric description of the Iranian loess plateau landscape will further enhance our understanding of recent and past geomorphological processes in this strongly dissected landscape. Therefore, four different input datasets for four landform classification methods were used in ord...
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MDPI AG
2017-11-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/6/11/366 |
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| author | Tanja Kramm Dirk Hoffmeister Constanze Curdt Sedigheh Maleki Farhad Khormali Martin Kehl |
| author_facet | Tanja Kramm Dirk Hoffmeister Constanze Curdt Sedigheh Maleki Farhad Khormali Martin Kehl |
| author_sort | Tanja Kramm |
| collection | DOAJ |
| description | An accurate geomorphometric description of the Iranian loess plateau landscape will further enhance our understanding of recent and past geomorphological processes in this strongly dissected landscape. Therefore, four different input datasets for four landform classification methods were used in order to derive the most accurate results in comparison to ground-truth data from a geomorphological field survey. The input datasets in 5 m and 10 m pixel resolution were derived from Pléiades stereo satellite imagery and the “Shuttle Radar Topography Mission” (SRTM), and “Advanced Spaceborne Thermal Emission and Reflection Radiometer” (ASTER GDEM) datasets with a spatial resolution of 30 m were additionally applied. The four classification approaches tested with this data include the stepwise approach after Dikau, the geomorphons, the topographical position index (TPI) and the object based approach. The results show that input datasets with higher spatial resolutions produced overall accuracies of greater than 70% for the TPI and geomorphons and greater than 60% for the other approaches. For the lower resolution datasets, only accuracies of about 40% were derived, 20–30% lower than for data derived from higher spatial resolutions. The results of the topographic position index and the geomorphons approach worked best for all selected input datasets. |
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| id | doaj.art-41eb6ab5cdaf4205898d321d47c867a9 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-04-12T10:19:01Z |
| publishDate | 2017-11-01 |
| publisher | MDPI AG |
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| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-41eb6ab5cdaf4205898d321d47c867a92022-12-22T03:37:08ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-11-0161136610.3390/ijgi6110366ijgi6110366Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess PlateauTanja Kramm0Dirk Hoffmeister1Constanze Curdt2Sedigheh Maleki3Farhad Khormali4Martin Kehl5GIS and Remote Sensing, Institute of Geography, University of Cologne, Albertus Magnus Platz, 50923 Köln, GermanyGIS and Remote Sensing, Institute of Geography, University of Cologne, Albertus Magnus Platz, 50923 Köln, GermanyGIS and Remote Sensing, Institute of Geography, University of Cologne, Albertus Magnus Platz, 50923 Köln, GermanyDepartment of Soil Sciences, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan 49138-15739, IranDepartment of Soil Sciences, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan 49138-15739, IranGIS and Remote Sensing, Institute of Geography, University of Cologne, Albertus Magnus Platz, 50923 Köln, GermanyAn accurate geomorphometric description of the Iranian loess plateau landscape will further enhance our understanding of recent and past geomorphological processes in this strongly dissected landscape. Therefore, four different input datasets for four landform classification methods were used in order to derive the most accurate results in comparison to ground-truth data from a geomorphological field survey. The input datasets in 5 m and 10 m pixel resolution were derived from Pléiades stereo satellite imagery and the “Shuttle Radar Topography Mission” (SRTM), and “Advanced Spaceborne Thermal Emission and Reflection Radiometer” (ASTER GDEM) datasets with a spatial resolution of 30 m were additionally applied. The four classification approaches tested with this data include the stepwise approach after Dikau, the geomorphons, the topographical position index (TPI) and the object based approach. The results show that input datasets with higher spatial resolutions produced overall accuracies of greater than 70% for the TPI and geomorphons and greater than 60% for the other approaches. For the lower resolution datasets, only accuracies of about 40% were derived, 20–30% lower than for data derived from higher spatial resolutions. The results of the topographic position index and the geomorphons approach worked best for all selected input datasets.https://www.mdpi.com/2220-9964/6/11/366digital terrain modelslandform classificationgeomorphometrystereo satellite imageryASTER GDEMSRTMloess |
| spellingShingle | Tanja Kramm Dirk Hoffmeister Constanze Curdt Sedigheh Maleki Farhad Khormali Martin Kehl Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau ISPRS International Journal of Geo-Information digital terrain models landform classification geomorphometry stereo satellite imagery ASTER GDEM SRTM loess |
| title | Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau |
| title_full | Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau |
| title_fullStr | Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau |
| title_full_unstemmed | Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau |
| title_short | Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau |
| title_sort | accuracy assessment of landform classification approaches on different spatial scales for the iranian loess plateau |
| topic | digital terrain models landform classification geomorphometry stereo satellite imagery ASTER GDEM SRTM loess |
| url | https://www.mdpi.com/2220-9964/6/11/366 |
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