High-Resolution Terrain Reconstruction of Slot Canyon Using Backpack Mobile Laser Scanning and UAV Photogrammetry
Accurate terrain models are critical for studying the formation and development of slot canyons. However, for slot canyon landforms, it is challenging to generate comprehensive and high-resolution morphological data by individual observation due to the inaccessibility of steep walls on either side a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/6/12/429 |
| _version_ | 1797460401028333568 |
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| author | Yonghui Xin Ran Wang Xi Wang Xingwei Wang Zhouxuan Xiao Jingyu Lin |
| author_facet | Yonghui Xin Ran Wang Xi Wang Xingwei Wang Zhouxuan Xiao Jingyu Lin |
| author_sort | Yonghui Xin |
| collection | DOAJ |
| description | Accurate terrain models are critical for studying the formation and development of slot canyons. However, for slot canyon landforms, it is challenging to generate comprehensive and high-resolution morphological data by individual observation due to the inaccessibility of steep walls on either side and the complexity of the field observation environment, such as variable-slope terrain, partial vegetation cover, and lack of satellite signal. Off-the-shelf surveying techniques, including Unmanned Aerial Vehicles (UAV) photogrammetry and Backpack Mobile Laser Scanning (BMLS), facilitate slot canyon surveys and provide better observations. This paper proposes an integrated scheme to generate comprehensive and centimeter-resolution slot canyon terrain datasets (e.g., color point clouds, Digital Elevation Models (DEM), and 3D mesh) using BMLS and fine UAV photogrammetry. The results show that the fine flight of UAVs based on a rough model can avoid collision with obstacles or flying into restricted areas, allowing users to perform tasks faster and safer. Data integration of BMLS and UAV photogrammetry can obtain accurate terrain datasets with a Root Mean Squared Error (RMSE) of point cloud registration of 0.028 m. Such high-resolution integration terrain datasets reduce local data shadows produced solely by individual datasets, providing a starting point to revealing morphological evolution and genesis of slot canyons. |
| first_indexed | 2024-03-09T17:04:31Z |
| format | Article |
| id | doaj.art-752b8da559c64b208d5340c9eec64058 |
| institution | Directory Open Access Journal |
| issn | 2504-446X |
| language | English |
| last_indexed | 2024-03-09T17:04:31Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj.art-752b8da559c64b208d5340c9eec640582023-11-24T14:25:36ZengMDPI AGDrones2504-446X2022-12-0161242910.3390/drones6120429High-Resolution Terrain Reconstruction of Slot Canyon Using Backpack Mobile Laser Scanning and UAV PhotogrammetryYonghui Xin0Ran Wang1Xi Wang2Xingwei Wang3Zhouxuan Xiao4Jingyu Lin5School of Earth Science and Resources, Chang’an University, Xi’an 710054, ChinaSchool of Earth Science and Resources, Chang’an University, Xi’an 710054, ChinaSchool of Earth Science and Resources, Chang’an University, Xi’an 710054, ChinaSchool of Earth Science and Resources, Chang’an University, Xi’an 710054, ChinaSchool of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, ChinaFaculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaAccurate terrain models are critical for studying the formation and development of slot canyons. However, for slot canyon landforms, it is challenging to generate comprehensive and high-resolution morphological data by individual observation due to the inaccessibility of steep walls on either side and the complexity of the field observation environment, such as variable-slope terrain, partial vegetation cover, and lack of satellite signal. Off-the-shelf surveying techniques, including Unmanned Aerial Vehicles (UAV) photogrammetry and Backpack Mobile Laser Scanning (BMLS), facilitate slot canyon surveys and provide better observations. This paper proposes an integrated scheme to generate comprehensive and centimeter-resolution slot canyon terrain datasets (e.g., color point clouds, Digital Elevation Models (DEM), and 3D mesh) using BMLS and fine UAV photogrammetry. The results show that the fine flight of UAVs based on a rough model can avoid collision with obstacles or flying into restricted areas, allowing users to perform tasks faster and safer. Data integration of BMLS and UAV photogrammetry can obtain accurate terrain datasets with a Root Mean Squared Error (RMSE) of point cloud registration of 0.028 m. Such high-resolution integration terrain datasets reduce local data shadows produced solely by individual datasets, providing a starting point to revealing morphological evolution and genesis of slot canyons.https://www.mdpi.com/2504-446X/6/12/429slot canyonspoint cloudsDEMbackpack mobile laser scanningUAV photogrammetrydata integration |
| spellingShingle | Yonghui Xin Ran Wang Xi Wang Xingwei Wang Zhouxuan Xiao Jingyu Lin High-Resolution Terrain Reconstruction of Slot Canyon Using Backpack Mobile Laser Scanning and UAV Photogrammetry Drones slot canyons point clouds DEM backpack mobile laser scanning UAV photogrammetry data integration |
| title | High-Resolution Terrain Reconstruction of Slot Canyon Using Backpack Mobile Laser Scanning and UAV Photogrammetry |
| title_full | High-Resolution Terrain Reconstruction of Slot Canyon Using Backpack Mobile Laser Scanning and UAV Photogrammetry |
| title_fullStr | High-Resolution Terrain Reconstruction of Slot Canyon Using Backpack Mobile Laser Scanning and UAV Photogrammetry |
| title_full_unstemmed | High-Resolution Terrain Reconstruction of Slot Canyon Using Backpack Mobile Laser Scanning and UAV Photogrammetry |
| title_short | High-Resolution Terrain Reconstruction of Slot Canyon Using Backpack Mobile Laser Scanning and UAV Photogrammetry |
| title_sort | high resolution terrain reconstruction of slot canyon using backpack mobile laser scanning and uav photogrammetry |
| topic | slot canyons point clouds DEM backpack mobile laser scanning UAV photogrammetry data integration |
| url | https://www.mdpi.com/2504-446X/6/12/429 |
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