Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896097859> ?p ?o ?g. }
- W2896097859 endingPage "9293" @default.
- W2896097859 startingPage "9269" @default.
- W2896097859 abstract "Digital elevation models (DEMs) have been increasingly applied in topographic studies in areas such as physical geography and hydraulic engineering. Several methods have been proposed to reconstruct DEMs, including classic close-range stereo photogrammetry and the more novel Structure from Motion (SfM) methodology. Past published studies tend to apply SfM to large-scale environmental processes, whilst classic close-range stereophotogrammetry is focusing on detailed small-scale applications. However, SfM requires multiple ground control points (GCPs) to allow for proper DEM scaling. The larger the study area, the more GCPs are required, resulting in increased operational complexity and time-consuming application of SfM. As the accuracy of the DEM depends on the equipment used to measure GCPs, this can also result in a cost-expensive operation. In the present study, we introduce a combined SfM and close-range stereo photogrammetry application, with the close-range stereo photogrammetry results serving as a control for providing scale, thus eliminating the need for traditional GCPs. To validate our methodology, we studied a 40 m long gravel bar. We used GoPro Hero 3 cameras for SfM measurements and replaced GCPs by DEMs obtained through close-range stereo photogrammetry with a Nikon D5100 camera pair in stereo. In addition to using photo-mode frames, we also studied the quality of DEMs obtained with GoPro Hero 3 video-mode frames, and show how the DEM quality is reduced due to the smaller image format, hence coarser point cloud spacing, which eventually results in a convex curvature when image overlap was increased. Our results show that it is possible to collect high-quality topographic surface data by only using cameras, and alleviate the need for GCPs. The proposed workflow reduces the complexity, time, and resource demands associated with deploying GCPs and necessary independent geo-referencing, ensuring that digital photogrammetry will continue to gain popularity for field surveying." @default.
- W2896097859 created "2018-10-26" @default.
- W2896097859 creator A5017950249 @default.
- W2896097859 creator A5028087208 @default.
- W2896097859 creator A5085108897 @default.
- W2896097859 date "2018-10-16" @default.
- W2896097859 modified "2023-09-26" @default.
- W2896097859 title "Combining Structure from Motion and close-range stereo photogrammetry to obtain scaled gravel bar DEMs" @default.
- W2896097859 cites W1483156903 @default.
- W2896097859 cites W1521436873 @default.
- W2896097859 cites W1773543203 @default.
- W2896097859 cites W1928585742 @default.
- W2896097859 cites W1971575659 @default.
- W2896097859 cites W1976275430 @default.
- W2896097859 cites W1976546892 @default.
- W2896097859 cites W1981769764 @default.
- W2896097859 cites W1981788586 @default.
- W2896097859 cites W2008819360 @default.
- W2896097859 cites W2023138554 @default.
- W2896097859 cites W2027254180 @default.
- W2896097859 cites W2033459251 @default.
- W2896097859 cites W2042614179 @default.
- W2896097859 cites W2045699237 @default.
- W2896097859 cites W2060599314 @default.
- W2896097859 cites W2063712217 @default.
- W2896097859 cites W2074281625 @default.
- W2896097859 cites W2077243966 @default.
- W2896097859 cites W2083770652 @default.
- W2896097859 cites W2092326028 @default.
- W2896097859 cites W2094373254 @default.
- W2896097859 cites W2106022616 @default.
- W2896097859 cites W2117740932 @default.
- W2896097859 cites W2120619026 @default.
- W2896097859 cites W2140933009 @default.
- W2896097859 cites W2141357656 @default.
- W2896097859 cites W2151500411 @default.
- W2896097859 cites W2155029151 @default.
- W2896097859 cites W2157555751 @default.
- W2896097859 cites W2158336157 @default.
- W2896097859 cites W2161103267 @default.
- W2896097859 cites W2162515291 @default.
- W2896097859 cites W2167667767 @default.
- W2896097859 cites W2207055384 @default.
- W2896097859 cites W2245089000 @default.
- W2896097859 cites W2276952296 @default.
- W2896097859 cites W2294952195 @default.
- W2896097859 cites W2302050021 @default.
- W2896097859 cites W2407027220 @default.
- W2896097859 cites W2519669455 @default.
- W2896097859 cites W2532365185 @default.
- W2896097859 cites W2547184547 @default.
- W2896097859 cites W2550209317 @default.
- W2896097859 cites W2558832094 @default.
- W2896097859 cites W2585236832 @default.
- W2896097859 cites W2601908811 @default.
- W2896097859 cites W2799406722 @default.
- W2896097859 doi "https://doi.org/10.1080/01431161.2018.1530809" @default.
- W2896097859 hasPublicationYear "2018" @default.
- W2896097859 type Work @default.
- W2896097859 sameAs 2896097859 @default.
- W2896097859 citedByCount "9" @default.
- W2896097859 countsByYear W28960978592020 @default.
- W2896097859 countsByYear W28960978592021 @default.
- W2896097859 countsByYear W28960978592022 @default.
- W2896097859 countsByYear W28960978592023 @default.
- W2896097859 crossrefType "journal-article" @default.
- W2896097859 hasAuthorship W2896097859A5017950249 @default.
- W2896097859 hasAuthorship W2896097859A5028087208 @default.
- W2896097859 hasAuthorship W2896097859A5085108897 @default.
- W2896097859 hasBestOaLocation W28960978592 @default.
- W2896097859 hasConcept C104114177 @default.
- W2896097859 hasConcept C117455697 @default.
- W2896097859 hasConcept C126057942 @default.
- W2896097859 hasConcept C127313418 @default.
- W2896097859 hasConcept C127413603 @default.
- W2896097859 hasConcept C131979681 @default.
- W2896097859 hasConcept C146159030 @default.
- W2896097859 hasConcept C146978453 @default.
- W2896097859 hasConcept C154945302 @default.
- W2896097859 hasConcept C179458375 @default.
- W2896097859 hasConcept C181843262 @default.
- W2896097859 hasConcept C204323151 @default.
- W2896097859 hasConcept C205649164 @default.
- W2896097859 hasConcept C2778755073 @default.
- W2896097859 hasConcept C31972630 @default.
- W2896097859 hasConcept C41008148 @default.
- W2896097859 hasConcept C58640448 @default.
- W2896097859 hasConcept C62649853 @default.
- W2896097859 hasConceptScore W2896097859C104114177 @default.
- W2896097859 hasConceptScore W2896097859C117455697 @default.
- W2896097859 hasConceptScore W2896097859C126057942 @default.
- W2896097859 hasConceptScore W2896097859C127313418 @default.
- W2896097859 hasConceptScore W2896097859C127413603 @default.
- W2896097859 hasConceptScore W2896097859C131979681 @default.
- W2896097859 hasConceptScore W2896097859C146159030 @default.
- W2896097859 hasConceptScore W2896097859C146978453 @default.
- W2896097859 hasConceptScore W2896097859C154945302 @default.
- W2896097859 hasConceptScore W2896097859C179458375 @default.