Multi-Epoch and Multi-Imagery (MEMI) Photogrammetric Workflow for Enhanced Change Detection Using Time-Lapse Cameras

Blanch, Xabier; Eltner, Anette; Guinau, Marta; Abellán, Antonio

doi:10.3390/rs13081460

Cited by 26 publications

(32 citation statements)

References 59 publications

(114 reference statements)

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“…The two climate zones also show different patterns. In the Mediterranean climate, the contribution of animal (vertebrate) burrowing activity appears larger than previously observed by using field methods such as erosion pins or splash traps (from −3 % to −208 %; see Table A6; Imeson and Kwaad, 1976;Hazelhoff et al, 1981;Black and Montgomery, 1991). In contrast, in arid PdA, our study found a much smaller increase (40 %, Table A6) in the sediment volume redistributed during rainfall events measured within burrows when compared to burrow-embedded areas.…”

Section: Sediment Redistributioncontrasting

confidence: 73%

“…In contrast, in arid PdA, our study found a much smaller increase (40 %, Table A6) in the sediment volume redistributed during rainfall events measured within burrows when compared to burrow-embedded areas. This is lower than previously estimated (125 %; see Table A6; Black and Montgomery, 1991). However, only one rainfall event above 0.2 mm d −1 occurred during our monitoring period.…”

Section: Sediment Redistributioncontrasting

confidence: 73%

“…Li et al, 2019). Although burrowing animals are generally seen as ecosystem engineers (Gabet et al, 2003;Wilkinson et al, 2009), their role in soil erosion in general, and for numerical soil erosion models in particular, is to date limited to predictions of burrow locations and particle mixing (Black and Montgomery, 1991;Meysman et al, 2003;Yoo et al, 2005;Schiffers et al, 2011). The complex interaction of sediment excavation and accumulation and erosion processes at the burrow and hillslope scale are not yet included in Earth surface models.…”

Section: Introductionmentioning

confidence: 99%

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Higher sediment redistribution rates related to burrowing animals than previously assumed as revealed by time-of-flight-based monitoring

et al. 2022

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Abstract. Burrowing animals influence surface microtopography and hillslope sediment redistribution, but changes often remain undetected due to a lack of automated high-resolution field monitoring techniques. In this study, we present a new approach to quantify microtopographic variations and surface changes caused by burrowing animals and rainfall-driven erosional processes applied to remote field plots in arid and Mediterranean climate regions in Chile. We compared the mass balance of redistributed sediment between burrow and burrow-embedded area, quantified the cumulative sediment redistribution caused by animals and rainfall, and upscaled the results to a hillslope scale. The newly developed instrument, a time-of-flight camera, showed a very good detection accuracy. The animal-caused cumulative sediment excavation was 14.6 cm3 cm−2 yr−1 in the Mediterranean climate zone and 16.4 cm3 cm−2 yr−1 in the arid climate zone. The rainfall-related cumulative sediment erosion within burrows was higher (10.4 cm3 cm−2 yr−1) in the Mediterranean climate zone than the arid climate zone (1.4 cm3 cm−2 yr−1). Daily sediment redistribution during rainfall within burrow areas was up to 350 %(40 %) higher in the Mediterranean (arid) zone compared to burrow-embedded areas and much higher than previously reported in studies that were not based on continuous microtopographic monitoring. A total of 38 % of the sediment eroding from burrows accumulated within the burrow entrance, while 62 % was incorporated into hillslope sediment flux, which exceeds previous estimations 2-fold. On average, animals burrowed between 1.2–2.3 times a month, and the burrowing intensity increased after rainfall. This revealed a newly detected feedback mechanism between rainfall, erosion, and animal burrowing activity, likely leading to an underestimation of animal-triggered hillslope sediment flux in wetter climates. Our findings hence show that the rate of sediment redistribution due to animal burrowing is dependent on climate and that animal burrowing plays a larger than previously expected role in hillslope sediment redistribution. Subsequently, animal burrowing activity should be incorporated into soil erosion and landscape evolution models that rely on soil processes but do not yet include animal-induced surface processes on microtopographical scales in their algorithms.

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Section: Sediment Redistributioncontrasting

confidence: 73%

Section: Sediment Redistributioncontrasting

confidence: 73%

Section: Introductionmentioning

confidence: 99%

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Higher sediment redistribution rates related to burrowing animals than previously assumed as revealed by time-of-flight-based monitoring

et al. 2022

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“…To address the issue of coverage sustainably, the complete time-lapse setup needs to be extended to a network of at least two cameras, with intersecting directions of view onto the AoI. This would not only help to reduce the effect of shadows on the analysis but also allow the results to be geo-rectified into 3D information, e.g., [33][34][35]. In addition, mounting the cameras with a perpendicular axis of view would also ensure that channel structures of either direction were in the line of sight and recorded by at least one camera.…”

Section: Future Improvementsmentioning

confidence: 99%

Flood Flow in a Proglacial Outwash Plain: Quantifying Spatial Extent and Frequency of Inundation from Time-Lapse Imagery

Hiller

Walter

Weisleitner

et al. 2022

Water

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High mountain environments have shown substantial geomorphological changes forced by rising temperatures in recent decades. As such, paraglacial transition zones in catchments with rapidly retreating glaciers and abundant sediments are key elements in high alpine river systems and promise to be revealing, yet challenging, areas of investigation for the quantification of current and future sediment transport. In this study, we explore the potential of semi-automatic image analysis to detect the extent of the inundation area and corresponding inundation frequency in a proglacial outwash plain (Jamtal valley, Austria) from terrestrial time-lapse imagery. We cumulated all available records of the inundated area from 2018–2020 and analyzed the spatial and temporal patterns of flood flows. The approach presented here allows semi-automated monitoring of fundamental hydrological/hydraulic processes in an environment of scarce data. Runoff events and their intensity were quantified and attributed to either pronounced ablation, heavy precipitation, or a combination of both. We detected an increasing degree of channel concentration within the observation period. The maximum inundation from one event alone took up 35% of the analyzed area. About 10% of the observed area presented inundation in 60–70% of the analyzed images. In contrast, 60–70% of the observed area was inundated in less than 10% of the analyzed period. Despite some limitations in terms of image classification, prevailing weather conditions and illumination, the derived inundation frequency maps provide novel insights into the evolution of the proglacial channel network.

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“…The authors require flight plans as input, which are not commonly available as mentioned in Section 1. Feurer et al [36], Filhol et al [37], Cook et al [38], Parente et al [39] and Blanch et al [40] assume that a sufficient number of keypoints remain invariant across time and employ SIFT to extract inter-epoch feature correspondences. It remains questionable whether the method is capable of handling drastic scene changes.…”

Section: Inter-epoch Historical Images Alignmentmentioning

confidence: 99%

Feature matching for multi-epoch historical aerial images

Zhang,

Rupnik,

Pierrot-Deseilligny

2021

Preprint

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Historical imagery is characterized by high spatial resolution and stereoscopic acquisitions, providing a valuable resource for recovering 3D landcover information. Accurate geo-referencing of diachronic historical images by means of self-calibration remains a bottleneck because of the difficulty to find sufficient amount of feature correspondences under evolving landscapes. In this research, we present a fully automatic approach to detecting feature correspondences between historical images taken at different times (i.e., inter-epoch), without auxiliary data required. Based on relative orientations computed within the same epoch (i.e., intra-epoch), we obtain DSMs (Digital Surface Model) and incorporate them in a rough-to-precise matching. The method consists of: (1) an inter-epoch DSMs matching to roughly co-register the orientations and DSMs (i.e, the 3D Helmert transformation), followed by (2) a precise inter-epoch feature matching using the original RGB images. The innate ambiguity of the latter is largely alleviated by narrowing down the search space using the co-registered data. With the inter-epoch features, we refine the image orientations and quantitatively evaluate the results (1) with DoD (Difference of DSMs), (2) with ground check points, and (3) by quantifying ground displacement due to an earthquake. We demonstrate that our method: (1) can automatically georeference diachronic historical images;(2) can effectively mitigate systematic errors induced by poorly estimated camera parameters; (3) is robust to drastic scene changes. Compared to the state-of-the-art, our method improves the image georeferencing accuracy by a factor of 2. The proposed methods are implemented in MicMac, a free, open-source photogrammetric software.

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Multi-Epoch and Multi-Imagery (MEMI) Photogrammetric Workflow for Enhanced Change Detection Using Time-Lapse Cameras

Cited by 26 publications

References 59 publications

Higher sediment redistribution rates related to burrowing animals than previously assumed as revealed by time-of-flight-based monitoring

Higher sediment redistribution rates related to burrowing animals than previously assumed as revealed by time-of-flight-based monitoring

Flood Flow in a Proglacial Outwash Plain: Quantifying Spatial Extent and Frequency of Inundation from Time-Lapse Imagery

Feature matching for multi-epoch historical aerial images

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