Monitoring periglacial processes: Towards construction of a global network

Matsuoka, Norikazu

doi:10.1016/j.geomorph.2005.09.005

Cited by 22 publications

(15 citation statements)

References 42 publications

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“…All of them are included in the Circumpolar Active Layer Monitoring (CALM), and Ground Terrain NetworkPermafrost (GTN-P) international networks, which were created by the International Permafrost Association (IPA) (e.g., Brown et al, 2000;Matsuoka, 2006;Nelson and Shiklomanov, 2009;Vieira et al, 2010). However, in the Southern Hemisphere, the presence of the permafrost monitoring sites is scarce.…”

Section: Introductionmentioning

confidence: 99%

Frozen ground and snow cover monitoring in the South Shetland Islands, Antarctica: Instrumentation, effects on ground thermal behaviour and future research

Pablo

Ramos

Molina

et al. 2016

CIG

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Section: Introductionmentioning

confidence: 99%

Frozen ground and snow cover monitoring in the South Shetland Islands, Antarctica: Instrumentation, effects on ground thermal behaviour and future research

Pablo

Ramos

Molina

et al. 2016

CIG

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“…Este estudio comprende distintas aproximaciones metodológicas tomadas del clásico estudio de los suelos congelados, tal y como se realiza dentro de los protocolos internacionales del estudio térmico de los suelos en ambientes glaciares y periglaciares (Thermal State of Permafrost -TSP) y de la monitorización de la capa activa (Circumpolar Active Layer Monitoring -CALM) (ej., Brown et al, 2000;Matsuoka y Humlum, 2003;Nelson et al, 2004;Matsuoka, 2006), dentro de la red de estudio de la temperatura del suelo permanentemente congelado (Ground Temperature Network Permafrost -GNT-P) englobado en la Asociación International del Permafrost (International Permafrost Association -IPA).…”

Section: Métodos Y Obtención De Datosunclassified

“…Esta profundidad se midió mediante sondeos mecánicos manuales consistentes en la introducción de una barra de acero de 1 cm de diá-metro y 1 m de longitud en el terreno hasta alcanzar el terreno congelado (Figura 4), siguiendo los mencionados protocolos internacionales (Brown et al, 2000;Matsuoka y Humlum, 2003;Nelson et al, 2004;Matsuoka, 2006), cuyo error es inferior a 1 cm. Estas mediciones fueron realizadas en el entorno del módulo de vida de la BGdC a distancias crecientes desde el exterior de la misma, así como en los alrededores más próximos.…”

Section: Métodos Y Obtención De Datosunclassified

Study of the active layer at the Spanish Antarctic station “Gabriel de Castilla”, Deception Island, Antarctica

Pablo¹,

Molina²,

Récio³

et al. 2017

Bol. geol. min.

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“…Mackay [8] resurveyed a retrogressive thaw slump (RTS) to investigate its growth; Lewkowicz [32] employed specialized ablatometers to measure the retreat rate of a similar RTS feature; and, more recently, Matsuoka [33] delineated a variety of detection methods to monitor periglacial processes. Krieger [21] used both ALS and TLS methods to assess thermokarst form and evolution on Alaska's north slope.…”

Section: Site Description and Significancementioning

confidence: 99%

Comparing Two Methods of Surface Change Detection on an Evolving Thermokarst Using High-Temporal-Frequency Terrestrial Laser Scanning, Selawik River, Alaska

2013

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Terrestrial laser scanners (TLS) allow large and complex landforms to be rapidly surveyed at previously unattainable point densities. Many change detection methods have been employed to make use of these rich data sets, including cloud to mesh (C2M) comparisons and Multiscale Model to Model Cloud Comparison (M3C2). Rather than use simulated point cloud data, we utilized a 58 scan TLS survey data set of the Selawik retrogressive thaw slump (RTS) to compare C2M and M3C2. The Selawik RTS is a rapidly evolving permafrost degradation feature in northwest Alaska that presents challenging survey conditions and a unique opportunity to compare change detection methods in a difficult surveying environment. Additionally, this study considers several error analysis techniques, investigates the spatial variability of topographic change across the feature and explores visualization techniques that enable the analysis of this spatiotemporal data set. C2M reports a higher magnitude of topographic change over short periods of time (∼12 h) and reports a lower magnitude of topographic change over long periods of time (∼four weeks) when compared to M3C2. We found that M3C2 provides a better accounting of the sources of uncertainty in TLS change detection than C2M, because it considers the uncertainty due to surface roughness and scan registration. We also found that localized areas of the RTS do not always approximate the overall retreat of the feature and show considerable spatial variability during inclement weather; however, when averaged together, the spatial subsets approximate the retreat of the entire feature. New data visualization techniques are explored to leverage temporally and spatially continuous data sets. Spatially binning the data into vertical strips Remote Sens. 2013, 5 2814 along the headwall reduced the spatial complexity of the data and revealed spatiotemporal patterns of change.

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Monitoring periglacial processes: Towards construction of a global network

Cited by 22 publications

References 42 publications

Frozen ground and snow cover monitoring in the South Shetland Islands, Antarctica: Instrumentation, effects on ground thermal behaviour and future research

Frozen ground and snow cover monitoring in the South Shetland Islands, Antarctica: Instrumentation, effects on ground thermal behaviour and future research

Study of the active layer at the Spanish Antarctic station “Gabriel de Castilla”, Deception Island, Antarctica

Comparing Two Methods of Surface Change Detection on an Evolving Thermokarst Using High-Temporal-Frequency Terrestrial Laser Scanning, Selawik River, Alaska

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