{"title":"地统计学方法在森林地区无人机地形研究DEM生成中的应用","authors":"Roksana Zarychta , Adrian Zarychta","doi":"10.1016/j.geomorph.2025.109916","DOIUrl":null,"url":null,"abstract":"<div><div>In relief studies, and especially when performing terrain analysis, a key product is the Digital Elevation Model (DEM), which is often generated from data collected using an Unoccupied Aerial Vehicle (UAV). However, areas covered by high vegetation, mainly forests, are a significant problem when acquiring aerial photography data, since UAV Structure-from-Motion (UAV-SfM) photogrammetry does not provide information from sites located under the tree canopy. This article aims to demonstrate how to improve a DEM when generating it in areas covered with high vegetation based on an aerial photography dataset acquired by UAV missions, using geostatistical methods. The study was conducted in central Poland, where a parabolic dune covered by dense forest has formed, along with a blowout occurring in its vicinity, which is periodically filled with water. The study showed that the use of Ordinary Kriging (OK) in the reconstruction of relief covered with high vegetation provided better results compared to interpolation methods implemented in the photogrammetry software used. This is confirmed, by the computed low error values of Mean Error (ME): −0.0003 m, Root Mean Square Error (RMSE): 0.0777 m from Cross-Validation (CV) and low values of 0.002–0.44 m standard deviation of kriging (SD<sub>OK</sub>). The resulting DEM shows high similarity of 69.17 % (coefficient of determination) and a strong correlation (0.8316) with the reference model used. The applied geostatistical approach to generating the DEM for relief study demonstrates significant potential for application in other regions with similar conditions, offering an effective alternative for areas with dense vegetation where traditional photogrammetric methods encounter limitations.</div></div>","PeriodicalId":55115,"journal":{"name":"Geomorphology","volume":"487 ","pages":"Article 109916"},"PeriodicalIF":3.1000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of geostatistical approach in generating DEM for relief studies using UAV in forest areas\",\"authors\":\"Roksana Zarychta , Adrian Zarychta\",\"doi\":\"10.1016/j.geomorph.2025.109916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In relief studies, and especially when performing terrain analysis, a key product is the Digital Elevation Model (DEM), which is often generated from data collected using an Unoccupied Aerial Vehicle (UAV). However, areas covered by high vegetation, mainly forests, are a significant problem when acquiring aerial photography data, since UAV Structure-from-Motion (UAV-SfM) photogrammetry does not provide information from sites located under the tree canopy. This article aims to demonstrate how to improve a DEM when generating it in areas covered with high vegetation based on an aerial photography dataset acquired by UAV missions, using geostatistical methods. The study was conducted in central Poland, where a parabolic dune covered by dense forest has formed, along with a blowout occurring in its vicinity, which is periodically filled with water. The study showed that the use of Ordinary Kriging (OK) in the reconstruction of relief covered with high vegetation provided better results compared to interpolation methods implemented in the photogrammetry software used. This is confirmed, by the computed low error values of Mean Error (ME): −0.0003 m, Root Mean Square Error (RMSE): 0.0777 m from Cross-Validation (CV) and low values of 0.002–0.44 m standard deviation of kriging (SD<sub>OK</sub>). The resulting DEM shows high similarity of 69.17 % (coefficient of determination) and a strong correlation (0.8316) with the reference model used. The applied geostatistical approach to generating the DEM for relief study demonstrates significant potential for application in other regions with similar conditions, offering an effective alternative for areas with dense vegetation where traditional photogrammetric methods encounter limitations.</div></div>\",\"PeriodicalId\":55115,\"journal\":{\"name\":\"Geomorphology\",\"volume\":\"487 \",\"pages\":\"Article 109916\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geomorphology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0169555X25003265\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geomorphology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169555X25003265","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
Application of geostatistical approach in generating DEM for relief studies using UAV in forest areas
In relief studies, and especially when performing terrain analysis, a key product is the Digital Elevation Model (DEM), which is often generated from data collected using an Unoccupied Aerial Vehicle (UAV). However, areas covered by high vegetation, mainly forests, are a significant problem when acquiring aerial photography data, since UAV Structure-from-Motion (UAV-SfM) photogrammetry does not provide information from sites located under the tree canopy. This article aims to demonstrate how to improve a DEM when generating it in areas covered with high vegetation based on an aerial photography dataset acquired by UAV missions, using geostatistical methods. The study was conducted in central Poland, where a parabolic dune covered by dense forest has formed, along with a blowout occurring in its vicinity, which is periodically filled with water. The study showed that the use of Ordinary Kriging (OK) in the reconstruction of relief covered with high vegetation provided better results compared to interpolation methods implemented in the photogrammetry software used. This is confirmed, by the computed low error values of Mean Error (ME): −0.0003 m, Root Mean Square Error (RMSE): 0.0777 m from Cross-Validation (CV) and low values of 0.002–0.44 m standard deviation of kriging (SDOK). The resulting DEM shows high similarity of 69.17 % (coefficient of determination) and a strong correlation (0.8316) with the reference model used. The applied geostatistical approach to generating the DEM for relief study demonstrates significant potential for application in other regions with similar conditions, offering an effective alternative for areas with dense vegetation where traditional photogrammetric methods encounter limitations.
期刊介绍:
Our journal''s scope includes geomorphic themes of: tectonics and regional structure; glacial processes and landforms; fluvial sequences, Quaternary environmental change and dating; fluvial processes and landforms; mass movement, slopes and periglacial processes; hillslopes and soil erosion; weathering, karst and soils; aeolian processes and landforms, coastal dunes and arid environments; coastal and marine processes, estuaries and lakes; modelling, theoretical and quantitative geomorphology; DEM, GIS and remote sensing methods and applications; hazards, applied and planetary geomorphology; and volcanics.