Computer Vision Algorithms of DigitSeis for Building a Vectorised Dataset of Historical Seismograms from the Archive of Royal Observatory of Belgium

Lemenkova, Polina; Plaen, Raphaël de; Lecocq, Thomas; Debeir, Olivier

doi:10.3390/s23010056

Cited by 3 publications

(3 citation statements)

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“…To achieve this, we employed a combination of methods, including the classification of time series of satellite images, extraction of 2D and 3D mapping information from topographic maps (GEBCO/SRTM grids), and evaluation of changes in land cover types using statistical data derived from image analysis. Computer vision algorithms for image recognition, discrimination, and data processing are fundamental problems in remote sensing and Earth sciences, with a wide range of applications [111][112][113][114][115]. The use of computer vision algorithms for the visualization, analysis, and classification of satellite images aims to prevent the risk of natural hazards by mapping potentially endangered areas.…”

Section: Discussionmentioning

confidence: 99%

Recognizing the Wadi Fluvial Structure and Stream Network in the Qena Bend of the Nile River, Egypt, on Landsat 8-9 OLI Images

Lemenkova

Debeir

2023

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With methods for processing remote sensing data becoming widely available, the ability to quantify changes in spatial data and to evaluate the distribution of diverse landforms across target areas in datasets becomes increasingly important. One way to approach this problem is through satellite image processing. In this paper, we primarily focus on the methods of the unsupervised classification of the Landsat OLI/TIRS images covering the region of the Qena governorate in Upper Egypt. The Qena Bend of the Nile River presents a remarkable morphological feature in Upper Egypt, including a dense drainage network of wadi aquifer systems and plateaus largely dissected by numerous valleys of dry rivers. To identify the fluvial structure and stream network of the Wadi Qena region, this study addresses the problem of interpreting the relevant space-borne data using R, with an aim to visualize the land surface structures corresponding to various land cover types. To this effect, high-resolution 2D and 3D topographic and geologic maps were used for the analysis of the geomorphological setting of the Qena region. The information was extracted from the space-borne data for the comparative analysis of the distribution of wadi streams in the Qena Bend area over several years: 2013, 2015, 2016, 2019, 2022, and 2023. Six images were processed using computer vision methods made available by R libraries. The results of the k-means clustering of each scene retrieved from the multi-temporal images covering the Qena Bend of the Nile River were thus compared to visualize changes in landforms caused by the cumulative effects of geomorphological disasters and climate–environmental processes. The proposed method, tied together through the use of R scripts, runs effectively and performs favorably in computer vision tasks aimed at geospatial image processing and the analysis of remote sensing data.

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Section: Discussionmentioning

confidence: 99%

Recognizing the Wadi Fluvial Structure and Stream Network in the Qena Bend of the Nile River, Egypt, on Landsat 8-9 OLI Images

Lemenkova

Debeir

2023

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“…Analog seismic recording was prevalent throughout the 20 th [57] and these data have sensitivity to microseism [58,59] but early computational technology preempted long-term frequency-domain analyses [60]. Steps are being taken towards the preservation of these historic archives [61,62] and to the development of robust and scaled digitization software to obtain centennialscale microseism and other seismic metrics [63,64]. While we focus on linear trends in this analysis, analyzing records further back in time may facilitate the clearer resolution of temporal variations since the 20 th century (Fig.…”

Section: Discussionmentioning

confidence: 99%

Increasing near-coastal ocean wave energy observed in Earth’s seismic wavefield since the late 1980

Aster

Ringler

Anthony

et al. 2023

Preprint

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Earth’s seismic wavefield is continuously excited by forces on the seafloor arising from ocean gravity waves. The resulting microseism signal is detected worldwide by seismographic networks, even in the deep interiors of the continents, and its spatially and temporally variations reflect global ocean wave conditions. The primary microseism signal between 20 – 14 s period is principally composed of seismic Rayleigh waves that represent the spatiotemporal integrated seismic radiation excited across near coastal bathymetry. We analyze primary microseism vertical-component amplitudes, which are insensitive to Rayleigh wave propagation direction, through late 2022 using continuous seismic data recorded by globally distributed seismographs with operational intervals exceeding 20 years and beginning with the advent of modern continuous digital broadband recording in the late 1980s. Widespread increasing median amplitudes are apparent at the majority of global stations even prior to removing non-seismic instrumental and large earthquake signals and subtraction of the stationary component of the annual signal. Increasing primary microseism amplitudes and energies at 3σ significance occur for 41 of 52 stations. Significant decreasing trends for stations are geographically restricted to the northern and western Pacific region and to two sites in the southern United States. Amplitude and energy changes show broad proportionality, with the greatest absolute increases occurring at stations with historically high microseism levels. The most rapidly proportionately intensifying energy occurs at eastern North American and European sites that are principally sensitive to wave energy in the North Atlantic, and which show median average seismic energy increases over the past three decades of 0.7 – 0.8% per year relative to long-term median values. median values. The most rapidly intensifying primary microseism levels on an absolute basis are observed for the Antarctic Peninsula with an annualized vertical seismic acceleration, velocity, and energy trends (3σ uncertainties) of 0.037 ± 0.008 nm/s2/yr (0.36 ± 0.08 %/yr), 0.093 ± 0.02 nm/s/yr (0.35 ± 0.08 %/yr), and 4.16 ± 1.07 (nm/s)2 (0.58 ± 0.15 %/yr), respectively. Average inferred wave energy increase from seismic energy metrics across analyzed stations is 0.27±0.03 %/yr for the entire data period and 0.35±0.04 %/yr for the era beginning on January 1 2000.

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“…Tectonic plates subduction is a major cause of earthquakes and high seismicity along the Pacific margins. Besides, seismic activity reflects the signals of the ground motions of the Earth (Lemenkova et al, 2023). Panama forms a part of the tectonic microplate resting on the Caribbean and Nazca plates that subduct under the Cocos and South America plates (Demets, 2001;Bergoeing, 2015).…”

Section: Study Areamentioning

confidence: 99%

Correlations between the Topography-Induced Gravity, Terrain Structure and the Seismicity in the Gulf of Panama

Lemenkova

Debeir

2023

EREM

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This study presents new maps of the topographic and geophysical setting and seismicity in the region of the Gulf of Panama. The spatial analysis is based on the comparative analysis of the datasets on geoid, free-air gravity anomaly, topography and earthquakes. The cartographic framework is developed using the Generic Mapping Tools (GMT) scripting toolset. Seismic activity in the Central America is high due to the complex geologic setting, tectonic activity and lithosphere plate subduction. The data include the Earth Gravitational Model (EGM2008), the General Bathymetric Chart of the Oceans (GEBCO) and gravity grids. The seismicity data were collected from the Incorporated Research Institutions for Seismology (IRIS) catalogue on 1970–2021. The variations in data were compared to analyse correlations between the geophysical, seismic and topographic parameters. Free-air gravity, geoid and topographic data derived from the high-resolution datasets were used to investigate their effects on the main seismic sources in the region. The comparison of the maps showed that the distribution of the shallow earthquakes in the Pacific segment of Panama coincides with negative free-air anomalies and lower geoid values. The results revealed high values of geoid in the high mountainous regions of Panama (Cordilliera de Talamanca, southern coast of Peninsula de Azuero and eastern Panama, 77.5–78.5°W), which correspond to the topographic roughness in the highlands. Negative values of geoid are found over the Caribbean Sea basin (−4 to 0 m). The analyses of seismicity showed 1740 earthquake events varying by magnitudes from 2.9 to 7.8 at the depths up to 225 m (near the west coast of Colombia). A high concentration of the earthquakes is in the western region of the Panama’s shelf waters (~82–83.5°W), and on the border with Colombia (~77–78.5°W). High gravity anomalies (over 220 mGal) are found in the mountainous regions which match the geodynamic processes associated with the Earth structure and geodetic and geophysical effects. The regions of the high seismicity were defined in the Gulf of Chiriqui and eastern part of the Gulf of Panama.

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Computer Vision Algorithms of DigitSeis for Building a Vectorised Dataset of Historical Seismograms from the Archive of Royal Observatory of Belgium

Cited by 3 publications

References 94 publications

Recognizing the Wadi Fluvial Structure and Stream Network in the Qena Bend of the Nile River, Egypt, on Landsat 8-9 OLI Images

Recognizing the Wadi Fluvial Structure and Stream Network in the Qena Bend of the Nile River, Egypt, on Landsat 8-9 OLI Images

Increasing near-coastal ocean wave energy observed in Earth’s seismic wavefield since the late 1980

Correlations between the Topography-Induced Gravity, Terrain Structure and the Seismicity in the Gulf of Panama

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