Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30
Multi-source data fusion can help to weaken the original data’s shortcomings while improving data accuracy. The experimental area in this research is Taiyuan City in Shanxi Province, China. Using SRTM1 DEM, ASTER GDEM V3, and AW3D30 DEM, the optimal resolution of the Fused DEM in the research area i...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-03-01
|
| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/11/3/207 |
| _version_ | 1827648667003125760 |
|---|---|
| author | Shangmin Zhao Jiao Liu Weiming Cheng Chenghu Zhou |
| author_facet | Shangmin Zhao Jiao Liu Weiming Cheng Chenghu Zhou |
| author_sort | Shangmin Zhao |
| collection | DOAJ |
| description | Multi-source data fusion can help to weaken the original data’s shortcomings while improving data accuracy. The experimental area in this research is Taiyuan City in Shanxi Province, China. Using SRTM1 DEM, ASTER GDEM V3, and AW3D30 DEM, the optimal resolution of the Fused DEM in the research area is determined by analyzing the topographic factor information entropy. Then the optimally weighted fusion coefficient of the DEM with root mean square error (RMSE) as the criterion under different slope classes is determined by traversal exploration and quantitatively evaluates the fusion effect. The results show that the optimal resolution of the Fused DEM is 40 m under the terrain feature constraint of Taiyuan city. The fused DEM decreases by 33.8%, 57.9%, and 11.5% for mean absolute error (MAE), 36.3%, 54.6%, and 1.4% for standard deviation (STD), and 32.8%, 54.2%, and 9.7% for root mean square error (RMSE) compared with SRTM1, ASTER GDEM V3, and AW3D30. The weighted average fusion of multiple intensities increased the accuracy of the original data. The reduced topographic factor errors, such as slope, profile curvature, and TPI, improved the Fused DEM’s topographic representation capacity. Furthermore, the results confirm the high accuracy of Fused DEM in complex mountainous regions. |
| first_indexed | 2024-03-09T19:44:21Z |
| format | Article |
| id | doaj.art-5c4a5bd6d251410fb2fb3516d8f415f8 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-09T19:44:21Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-5c4a5bd6d251410fb2fb3516d8f415f82023-11-24T01:28:51ZengMDPI AGISPRS International Journal of Geo-Information2220-99642022-03-0111320710.3390/ijgi11030207Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30Shangmin Zhao0Jiao Liu1Weiming Cheng2Chenghu Zhou3Department of Surveying and Mapping, College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaDepartment of Surveying and Mapping, College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaState Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaMulti-source data fusion can help to weaken the original data’s shortcomings while improving data accuracy. The experimental area in this research is Taiyuan City in Shanxi Province, China. Using SRTM1 DEM, ASTER GDEM V3, and AW3D30 DEM, the optimal resolution of the Fused DEM in the research area is determined by analyzing the topographic factor information entropy. Then the optimally weighted fusion coefficient of the DEM with root mean square error (RMSE) as the criterion under different slope classes is determined by traversal exploration and quantitatively evaluates the fusion effect. The results show that the optimal resolution of the Fused DEM is 40 m under the terrain feature constraint of Taiyuan city. The fused DEM decreases by 33.8%, 57.9%, and 11.5% for mean absolute error (MAE), 36.3%, 54.6%, and 1.4% for standard deviation (STD), and 32.8%, 54.2%, and 9.7% for root mean square error (RMSE) compared with SRTM1, ASTER GDEM V3, and AW3D30. The weighted average fusion of multiple intensities increased the accuracy of the original data. The reduced topographic factor errors, such as slope, profile curvature, and TPI, improved the Fused DEM’s topographic representation capacity. Furthermore, the results confirm the high accuracy of Fused DEM in complex mountainous regions.https://www.mdpi.com/2220-9964/11/3/207information entropySRTM1 DEMASTER GDEM V3AW3D30 DEMDEM fusionTaiyuan city |
| spellingShingle | Shangmin Zhao Jiao Liu Weiming Cheng Chenghu Zhou Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30 ISPRS International Journal of Geo-Information information entropy SRTM1 DEM ASTER GDEM V3 AW3D30 DEM DEM fusion Taiyuan city |
| title | Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30 |
| title_full | Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30 |
| title_fullStr | Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30 |
| title_full_unstemmed | Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30 |
| title_short | Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30 |
| title_sort | fusion scheme and implementation based on srtm1 aster gdem v3 and aw3d30 |
| topic | information entropy SRTM1 DEM ASTER GDEM V3 AW3D30 DEM DEM fusion Taiyuan city |
| url | https://www.mdpi.com/2220-9964/11/3/207 |
| work_keys_str_mv | AT shangminzhao fusionschemeandimplementationbasedonsrtm1astergdemv3andaw3d30 AT jiaoliu fusionschemeandimplementationbasedonsrtm1astergdemv3andaw3d30 AT weimingcheng fusionschemeandimplementationbasedonsrtm1astergdemv3andaw3d30 AT chenghuzhou fusionschemeandimplementationbasedonsrtm1astergdemv3andaw3d30 |