Volcanic eruption plume top topography and heights as determined from photoclinometric analysis of satellite data

Glaze, L. S.; Wilson, Lionel; Mouginis-Mark, P. J.

doi:10.1029/1998jb900047

Cited by 19 publications

(15 citation statements)

References 33 publications

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“…ALI data are collected in four swaths covering an area 37 km wide and 42-185 km in length. ALI provides a wider image than Hyperion, so ALI data are especially useful for examining larger-scale eruption products (such as the extent of ash deposits), and for estimating the heights of volcanic plumes in observations where the highest part of the plume and its shadow can be seen (Glaze et al 1999). The VSW generates a number of products from ALI data that are used primarily for placing the Hyperion data in a wider context.…”

Section: Hyperionmentioning

confidence: 99%

The NASA Volcano Sensor Web, advanced autonomy and the remote sensing of volcanic eruptions: a review

Davies¹,

Chien²,

Tran³

et al. 2015

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The Volcano Sensor Web (VSW) is a globe-spanning net of sensors and applications for detecting volcanic activity. Alerts from the VSW are used to trigger observations from space using the Earth Observing-1 (EO-1) spacecraft. Onboard EO-1 is the Autonomous Sciencecraft Experiment (ASE) advanced autonomy software. Using ASE has streamlined spacecraft operations and has enabled the rapid delivery of high-level products to end-users. The entire process, from initial alert to product delivery, is autonomous. This facility is of great value as a rapid response is vital during a volcanic crisis. ASE consists of three parts: (1) Science Data Classifiers, which process EO-1 Hyperion data to identify anomalous thermal signals; (2) a Spacecraft Command Language; and (3) the Continuous Activity Scheduling Planning Execution and Replanning (CASPER) software that plans and replans activities, including downlinks, based on available resources and operational constraints. For each eruption detected, thermal emission maps and estimates of eruption parameters are posted to a website at the Jet Propulsion Laboratory, California Institute of Technology, in Pasadena, CA. Selected products are emailed to end-users. The VSW uses software agents to detect volcanic activity alerts generated from a wide variety of sources on the ground and in space, and can also be easily triggered manually.

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Section: Hyperionmentioning

confidence: 99%

The NASA Volcano Sensor Web, advanced autonomy and the remote sensing of volcanic eruptions: a review

Davies¹,

Chien²,

Tran³

et al. 2015

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show abstract

“…However, uncertainties proved to be large because of many gaps in the COSPEC record and problems with satellite estimations of tropospheric volcanic SO 2 , caused by interference with atmospheric These have thus an increased impact upon the atmosphere even though the anthropogenic flux of SO 2 and sulfate aerosols is larger (Graf et al 1997). Satellite images of volcanic clouds in a time sequence, acquired every hour or halfhour, enable mapping of cloud-top morphology (Glaze et al 1999) or temperature (Sawada 2003), cloud height estimation and ash dispersal tracking (Casadevall 1994), and also the study of processes controlling cloud-top undercooling (Woods and Self 1992) or ash cloud spreading dynamics. Such studies demonstrate that most volcanic clouds reaching the tropopause are cases of strong plumes in comparatively weaker crosswinds (Bursik et al 1992, which can generate powerful gravity waves (Sparks et al 1997b), spread under gravity laterally and against crosswinds (Sparks et al 1986, Koyaguchi and Tokuno 1993, before being wind-advected downwind Self 1995, Holasek et al 1996a) or bifurcating (e.g.…”

Section: Measuring and Tracking Volcanic Degassing And Volcanic Cloudmentioning

confidence: 99%

Advances in the remote sensing of volcanic activity and hazards, with special consideration to applications in developing countries

Ernst

Kervyn

Teeuw

2008

International Journal of Remote Sensing

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Applications of remote sensing for studies of volcanic activity and hazards have developed rapidly in the past 40 years. This has facilitated the observation of volcanic processes, such as ground deformation and thermal emission changes, lava flows, eruption clouds, ash and gas emissions, as well as mapping of volcanic structures and hazardous terrain, even for volcanoes in remote regions. Advances in the remote sensing of volcanoes, from ground-based sensors to sensors onboard airborne and spaceborne platforms, are reviewed. A key point made in this review is that volcanic remote sensing could have a much broader impact if the techniques and data were readily available to scientists studying/monitoring potentially hazardous volcanoes in developing countries. Perspectives on particular needs, with regard to sensor types, data availability and training, required to take volcanic remote sensing further in coming years are highlighted.

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“…Oppenheimer [] summarized the different passive remote sensing techniques used to retrieve VCTH. The most successful techniques include the thermal method [ Prata and Grant , ; Tupper et al , ], cloud stereoscopy [ Scollo et al , ; Virtanen et al , ], cloud shadow [ Prata and Grant , ], wind vector method [ Tupper et al , ], photoclinometry [ Glaze et al , ], CO 2 slicing [ Richards et al , ], and methods involving the parallax angle between two satellites [ Zakšek et al , ]. These techniques use passive remote sensing and so the vertical resolutions for their VCTH retrievals are limited by their horizontal resolutions; typically no better than ∼1 km.…”

Section: Satellite Datamentioning

confidence: 99%

Quantification of volcanic cloud top heights and thicknesses using A‐train observations for the 2008 Chaitén eruption

2015

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New evidence of vertically thin (< 400 m), low‐level (< 10 km) volcanic ash clouds, as well as confirmation of previously reported high‐level (>10 km) ash clouds, from the May 2008 Chaitén eruption in southern Chile is presented. A‐train remote sensors were used to measure high‐resolution volcanic cloud top heights (VCTHs) during the explosive phase (2–10 May 2008) of the eruption. Ash clouds were identified using a reverse absorption technique applied to hyperspectral measurements taken by the Atmospheric Infrared Sounder. Once identified, heights and thicknesses were derived from the Cloud‐Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. As these two instruments are part of the same constellation of satellites, coincident retrievals are routinely possible. Collocation of the data allowed for detection of volcanic ash within CALIOP profiles. Using a simple thresholding algorithm, VCTH and thickness were derived from the CALIOP profiles. A total of 12 VCTH measurements, ranging from 3.7 to 16.6 km, have been derived. Back trajectories from the Hybrid Single Particle Lagrangian Integrated Trajectory dispersion model were used as a check on volcanic origin of the detected ash clouds. Ensemble forward trajectories were generated to demonstrate how the new data could be used to improve Volcanic Ash Advisory Center operations. The findings reported here demonstrate several cases where low‐level ash was not recorded previously and include observations of thin ash clouds at large distances (∼4000 km) from the volcano.

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Volcanic eruption plume top topography and heights as determined from photoclinometric analysis of satellite data

Abstract: The objective of this paper is to develop a method by which existing satellite systems, notably the advanced very high resolution radiometer (AVHRR), can be used to determine the 2989

Cited by 19 publications

References 33 publications

The NASA Volcano Sensor Web, advanced autonomy and the remote sensing of volcanic eruptions: a review

The NASA Volcano Sensor Web, advanced autonomy and the remote sensing of volcanic eruptions: a review

Advances in the remote sensing of volcanic activity and hazards, with special consideration to applications in developing countries

Quantification of volcanic cloud top heights and thicknesses using A‐train observations for the 2008 Chaitén eruption

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