Measuring gullies by synergetic application of UAV and close range photogrammetry — A case study from Andalusia, Spain

Stöcker, Claudia; Eltner, Anette; Karrasch, Pierre

doi:10.1016/j.catena.2015.04.004

Cited by 155 publications

(124 citation statements)

References 35 publications

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“…3D reconstruction using structure-from-motion (SfM) and multi-view stereo (MVS) techniques was performed for surface geomorphometry reconstruction to generate 3D data from a series of non-calibrated images. In general, the reconstruction workflow includes the processing steps: (1) identification of homologous image points and consequent image matching; (2) reconstruction of the image acquisition configuration, including camera orientation, position and internal camera parameters, as well as corresponding 3D coordinates, with an iterative bundle block adjustment (BBA); and (3) dense matching of the sparse point cloud by forward intersections in space [34,36,44]. In this study, the commercial photogrammetry software, Pix4DMapper (Pix4D, Lausanne, Switzerland), based on SfM and MVS techniques, was used to automatically generate an ortho-mosaic and DSM.…”

Section: Uav-based Remote Sensing For Detailed Mappingmentioning

confidence: 99%

“…Numerous studies already illustrated that the low-altitude UAV photogrammetry and 3D photo-reconstruction method showed the definite advantage in the achievable detail with very high resolution [27,34,39,53]. The extremely detailed measurements were generally obtained on a subdecimeter level, which is comparable to TLS [14].…”

Section: Assessment Of Uav Remote Sensing and 3d Reconstructionmentioning

confidence: 99%

“…Note that the obtained value for the gully volume should not be regarded as a precise absolute erosion amount. The quantification values obtained at multiple periods should be a good estimation of the magnitude of erosion-induced change [34]. Moreover, the manual digitizing of the gully edge influences the accuracy of the volumes and defining the location of the gully edge still remains a challenge [57].…”

Section: Assessment Of Uav Remote Sensing and 3d Reconstructionmentioning

confidence: 99%

“…Researchers are beginning to explore the use of UAVs for the acquisition of remote sensing imagery and application in Earth surface analysis with a higher level of detail [31,32]. Several authors have already employed high resolution DSMs of cm-accuracy obtained from UAV-based imagery to monitor and quantify gully erosion [27,33,34]. Moreover, automatic 3D photo-reconstruction techniques have shown great advantages over traditional photogrammetry techniques by making image processing remarkably easier when images are derived from uncalibrated and nonmetric cameras [35].…”

Section: Introductionmentioning

confidence: 99%

“…Previous work has compared 3D photo-reconstruction with existing 2-D and 3-D field methods (e.g., LiDAR, laser profilometer, total station) for assessing gully erosion with regard to cost, accuracy and effectiveness, revealing the superiority of 3D photo-reconstruction [14,38]. By adopting 3D photo-reconstruction techniques, numerous researchers used images derived from UAV to generate high resolution topographic data and ortho-image for monitoring gully erosion [34,39].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China

Wang

Zhang

et al. 2016

IJGI

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This research is focused on gully erosion mapping and monitoring at multiple spatial scales using multi-source remote sensing data of the Sancha River catchment in Northeast China, where gullies extend over a vast area. A high resolution satellite image (Pleiades 1A, 0.7 m) was used to obtain the spatial distribution of the gullies of the overall basin. Image visual interpretation with field verification was employed to map the geometric gully features and evaluate gully erosion as well as the topographic differentiation characteristics. Unmanned Aerial Vehicle (UAV) remote sensing data and the 3D photo-reconstruction method were employed for detailed gully mapping at a site scale. The results showed that: (1) the sub-meter image showed a strong ability in the recognition of various gully types and obtained satisfactory results, and the topographic factors of elevation, slope and slope aspects exerted significant influence on the gully spatial distribution at the catchment scale; and (2) at a more detailed site scale, UAV imagery combined with 3D photo-reconstruction provided a Digital Surface Model (DSM) and ortho-image at the centimeter level as well as a detailed 3D model. The resulting products revealed the area of agricultural utilization and its shaping by human agricultural activities and water erosion in detail, and also provided the gully volume. The present study indicates that using multi-source remote sensing data, including satellite and UAV imagery simultaneously, results in an effective assessment of gully erosion over multiple spatial scales. The combined approach should be continued to regularly monitor gully erosion to understand the erosion process and its relationship with the environment from a comprehensive perspective.

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Section: Uav-based Remote Sensing For Detailed Mappingmentioning

confidence: 99%

Section: Assessment Of Uav Remote Sensing and 3d Reconstructionmentioning

confidence: 99%

Section: Assessment Of Uav Remote Sensing and 3d Reconstructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China

Wang

Zhang

et al. 2016

IJGI

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Time lapse structure‐from‐motion photogrammetry for continuous geomorphic monitoring

Eltner

Kaiser

Abellán

et al. 2017

Earth Surf Processes Landf

Self Cite

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Recent advances are made in earth surface reconstruction with high spatial resolution due to SfM photogrammetry. High flexibility of data acquisition and high potential of process automation allows for a significant increase of the temporal resolution, as well, which is especially interesting to assess geomorphic changes. Two case studies are presented where 4D reconstruction is performed to study soil surface changes at 15 seconds intervals: (a) a thunderstorm event is captured at field scale and (b) a rainfall simulation is observed at plot scale. A workflow is introduced for automatic data acquisition and processing including the following approach: data collection, camera calibration and subsequent image correction, template matching to automatically identify ground control points in each image to account for camera movements, 3D reconstruction of each acquisition interval, and finally applying temporal filtering to the resulting surface change models to correct random noise and to increase the reliability of the measurement of signals of change with low intensity. Results reveal surface change detection with cm‐ to mm‐accuracy. Significant soil changes are measured during the events. Ripple and pool sequences become obvious in both case studies. Additionally, roughness changes and hydrostatic effects are apparent along the temporal domain at the plot scale. 4D monitoring with time‐lapse SfM photogrammetry enables new insights into geomorphic processes due to a significant increase of temporal resolution. Copyright © 2017 John Wiley & Sons, Ltd.

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Stream channel erosion in a rapidly urbanizing region of the US–Mexico border: documenting the importance of channel hardpoints with Structure‐from‐Motion photogrammetry

Taniguchi

Biggs

Langendoen

et al. 2018

Earth Surf Processes Landf

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Urbanization can lead to accelerated stream channel erosion, especially in areas experiencing rapid population growth, unregulated urban development on erodible soils, and variable enforcement of environmental regulations. A combination of field surveys and Structure-from-Motion (SfM) photogrammetry techniques was used to document spatial patterns in stream channel geometry in a rapidly urbanizing watershed, Los Laureles Canyon (LLCW), in Tijuana, Mexico. Ground-based SfM photogrammetry was used to map channel dimensions with 1 to 2 cm vertical mean error for four stream reaches (100-300 m long) that were highly variable and difficult to survey with a differential GPS. Regional channel geometry curves for LLCW had statistically larger slopes and intercepts compared with regional curves developed for comparable, undisturbed reference channels. Cross-sectional areas of channels downstream of hardpoints, such as concrete reaches or culverts, were up to 64 times greater than reference channels, with enlargement persisting, in some cases, up to 230 m downstream. Percentage impervious cover was not a good predictor of channel enlargement. Proximity to upstream hardpoint, and lack of riparian and bank vegetation paired with highly erodible bed and bank materials may account for the instability of the highly enlarged and unstable cross-sections. Channel erosion due to urbanization accounts for approximately 25-40% of the total sediment budget for the watershed, and channel erosion downstream of hardpoints accounts for one-third of all channel erosion. Channels downstream of hardpoints should be stabilized to prevent increased inputs of sediment to the Tijuana Estuary and local hazards near the structures, especially in areas with urban settlements near the stream channel.

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Measuring gullies by synergetic application of UAV and close range photogrammetry — A case study from Andalusia, Spain

Cited by 155 publications

References 35 publications

Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China

Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China

Time lapse structure‐from‐motion photogrammetry for continuous geomorphic monitoring

Stream channel erosion in a rapidly urbanizing region of the US–Mexico border: documenting the importance of channel hardpoints with Structure‐from‐Motion photogrammetry

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