Identification of Debris‐Flow Channels Using High‐Resolution Topographic Data: A Case Study in the Quebrada del Toro, NW Argentina

Mueting, Ariane; Bookhagen, Bodo; Strecker, Manfred R.

doi:10.1029/2021jf006330

Cited by 10 publications

(15 citation statements)

References 66 publications

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“…Therefore, prior to the vertical accuracy assessment, the produced DEM then needs to be properly checked for its horizontal shifts. These horizontal shifts assessment is what we found missing in the previous gcp-less studies 18,19 . In this study, our aim is to perform an iterative-bundle adjustment without using GCP on a tri-stereo SPOT-7 imagery and compared the vertical and horizontal accuracy with four other approaches.…”

Section: Introductionmentioning

confidence: 43%

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Iterative bundle adjustment without ground control points on SPOT-7 stereogrammetry and its effect on DEM geometric accuracy

Zylshal,

Abdurrahman Bayanuddin,

Sartika

et al. 2024

Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet

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Generating Digital Elevation Models (DEMs) from stereo optical satellite data has been a well-established practice for many years. The typical workflow involves performing Bundle Adjustment (BA) to align the stereo imagery, often supplemented with Ground Control Point (GCP) data for accurate vertical values. However, acquiring high-precision GCPs using geodetic GPS can be costly and time-consuming. In this study, we utilize a GCP-less approach that combines iterative bundle adjustment with an existing DEM for SPOT-7 tri-stereo imagery. The Semi-global matching algorithm is employed as the stereo correlator for all three stereo combinations (Forward-Nadir, Nadir-Backward, Forward-Backward). We also explore four alternative approaches: single BA without GCPs, single BA with 9 GCPs, 9 GCPs only, and single BA without GCPs but with DEM co-registration. To build the DEM, we utilize the SPOT-7 panchromatic band (1.5m) and upscale it by a factor of two to achieve a Ground Sampling Distance of 3 meters. We evaluate the horizontal shift in the x and y directions of the produced DEMs using DEMNAS as the reference. Additionally, the vertical accuracy is assessed using the Root Mean Square Error (RMSE) by comparing the results to a combination of geodetic Independent Control Points (ICPs), Unmanned Aerial Vehicle (UAV) Digital Surface Models (DSMs), and filtered ICESat-2 ATL-08 points as the reference data. Preliminary findings indicate that the GCP-less iterative BA approach outperforms all but one other method on average. The iterative BA method yields average x and y shifts of 1.72 meters and 0.95 meters, respectively. These values are lower than those obtained using single BA (13.01 and 3.27), single BA with 9 GCPs (2.85 and 2.62), and 9 GCPs only (3.94 and 1.00) approaches. The only approach that produces lower shifts is the single BA with DEM coregistration, which results in 0.60m and 0.72m for x and y shifts, respectively.

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Section: Introductionmentioning

confidence: 43%

“…The recent development shows recommendation on SPOT-6 or SPOT-7 to specifically performed not just a single bundle adjustment. With the help of seed DEM, another bundle adjustment then can be performed [18][19][20] .…”

Section: Introductionmentioning

confidence: 99%

Iterative bundle adjustment without ground control points on SPOT-7 stereogrammetry and its effect on DEM geometric accuracy

Zylshal,

Abdurrahman Bayanuddin,

Sartika

et al. 2024

Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet

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“…Although binning slope‐area data smooths over signals in catchments that are often important for topographic analysis of some landscape features (i.e., knickpoints), we purposefully selected catchments free from indications of disequilibrium to ensure that the signal of morphologic transitions is preserved. We recognize, however, that additional morphologic signatures of debris‐flow processes, such as stepped longitudinal profiles (Stock & Dietrich, 2006), may be obscured by utilizing binned slope‐area data and that isolating individual debris‐flow channels may also provide a clearer indication of which valley bottoms are debris‐flow dominated (e.g., Mueting et al., 2021). Although these signatures are worthy of ongoing and future attention, particularly within a 2‐dimensional (2D) topological framework, we focused on debris‐flow signatures that appear across catchments on a landscape scale and have received the most attention in past studies (e.g., Penserini et al., 2017).…”

Section: Methodsmentioning

confidence: 99%

“…Thus, although A df can be conceptualized as a transitional drainage area (and conveniently has units of drainage area), it should not be strictly equated with a discrete process change that separates two separate power laws in slope-area space. Certainly, some landscapes will exhibit more abrupt morphologic transitions than others, and individual steepland valley bottoms that drain directly into large, high-order fluvial channels do experience an abrupt process transition (Mueting et al, 2021). And as noted by Lavé and Burbank (2004) and DiBiase et al (2012) in the SGM, debris flows may dominate at low drainage areas and then deposit their sediment farther downstream in larger order fluvial catchments that are periodically emptied by larger floods.…”

Section: Debris-flow and Fluvial Incision: What Do Morphologic Transi...mentioning

confidence: 99%

Debris‐Flow Process Controls on Steepland Morphology in the San Gabriel Mountains, California

et al. 2023

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Steep landscapes evolve largely by debris flows, in addition to fluvial and hillslope processes. Abundant field observations document that debris flows incise valley bottoms and transport substantial sediment volumes, yet their contributions to steepland morphology remain uncertain. This has, in turn, limited the development of debris‐flow incision rate formulations that produce morphology consistent with natural landscapes. In many landscapes, including the San Gabriel Mountains (SGM), California, steady‐state fluvial channel longitudinal profiles are concave‐up and exhibit a power‐law relationship between channel slope and drainage area. At low drainage areas, however, valley slopes become nearly constant. These topographic forms result in a characteristically curved slope‐area signature in log‐log space. Here, we use a one‐dimensional landform evolution model that incorporates debris‐flow erosion to reproduce the relationship between this curved slope‐area signature and erosion rate in the SGM. Topographic analysis indicates that the drainage area at which steepland valleys transition to fluvial channels correlates with measured erosion rates in the SGM, and our model results reproduce these relationships. Further, the model only produces realistic valley profiles when parameters that dictate the relationship between debris‐flow erosion, valley‐bottom slope, and debris‐flow depth are within a narrow range. This result helps place constraints on the mathematical form of a debris‐flow incision law. Finally, modeled fluvial incision outpaces debris‐flow erosion at drainage areas less than those at which valleys morphologically transition from near‐invariant slopes to concave profiles. This result emphasizes the critical role of debris‐flow incision for setting steepland form, even as fluvial incision becomes the dominant incisional process.

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“…Studies that harness elevation observations can generally be divided into two groups. The first group relies on singleacquisition and often gap-filled DEMs to extract essential topographic characteristics, e.g., in river discharge and flood modelling [15]- [17], geomorphological terrain analysis [18]- [21], tectonic monitoring [22]- [25], avalanche risk prediction [26], land classification [27], [28], onshore inundation and sealevel rise forecasting [29]- [31] and planetary surface characterization [32], [33]. The second group requires multiple acquisitions to study surface elevation changes over time, e.g., for landslide and rock avalanche detection [34]- [36], seasonal snow depth assessment [37]- [39], lava flow volume quantification [40], [41], canopy height evolution [42]- [44] and glacier, ice sheet and ice shelf mass balance estimation [45]- [47].…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Analysis of Digital Elevation Models by Spatial Inference From Stable Terrain

Hugonnet

Brun

Dehecq

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The monitoring of Earth's and planetary surface elevations at larger and finer scales is rapidly progressing through the increasing availability and resolution of digital elevation models (DEMs). Surface elevation observations are being used across an expanding range of fields to study topographical attributes and their changes over time, notably in glaciology, hydrology, volcanology, seismology, forestry and geomorphology. However, DEMs frequently contain large-scale instrument noise and varying vertical precision that lead to complex patterns of errors. Here, we present a validated statistical workflow to estimate, model, and propagate uncertainties in DEMs. We review the state-of-the-art of DEM accuracy and precision analyses, and define a conceptual framework to consistently address those. We show how to characterize DEM precision by quantifying the heteroscedasticity of elevation measurements, i.e. varying vertical precision with terrain-or sensor-dependent variables, and the spatial correlation of errors that can occur across multiple spatial scales. With the increasing availability of high-precision observations, our workflow based on independent elevation data acquired on stable terrain can be applied almost anywhere on Earth. We illustrate how to propagate uncertainties for both pixel-scale and spatial elevation derivatives, using terrain slope and glacier volume changes as examples. We find that uncertainties in DEMs are largely underestimated in the literature, and advocate that new metrics of DEM precision are essential to ensure the reliability of future Earth and planetary surface elevation assessments.

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Identification of Debris‐Flow Channels Using High‐Resolution Topographic Data: A Case Study in the Quebrada del Toro, NW Argentina

Abstract: Mountainous high-relief terrains stretching across several climatic zones are often subjected to natural extreme events such as debris flows and landsliding (e.g.,

Cited by 10 publications

References 66 publications

Iterative bundle adjustment without ground control points on SPOT-7 stereogrammetry and its effect on DEM geometric accuracy

Iterative bundle adjustment without ground control points on SPOT-7 stereogrammetry and its effect on DEM geometric accuracy

Debris‐Flow Process Controls on Steepland Morphology in the San Gabriel Mountains, California

Uncertainty Analysis of Digital Elevation Models by Spatial Inference From Stable Terrain

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