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Planetary science / Spaceflight / Geophysical survey / Interferometric synthetic aperture radar / Geophysics / Economic geology / Synthetic aperture radar / Inverse problem / Exploration geophysics / Radar / Geodesy / Earth


20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 An Assessment of DInSAR Potential for Simulating Geological Subsurface Structure N.F. Moghadd
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Document Date: 2013-11-19 22:15:30


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File Size: 1,49 MB

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City

Ottawa / Tokyo / Las Vegas / Surat / Melbourne / Frascati2010 / Adelaide / /

Company

Neural Networks / 3D-Geo Pty Ltd / /

Country

Italy / Canada / Australia / China / /

Currency

SAR / /

/

Event

Product Recall / Product Issues / /

Facility

University of Queensland / Chinese University of Hong Kong / Monash University / /

IndustryTerm

proposed coal seam gas operations / data-driven algorithms / satellite platforms / inversion algorithms / groundwater systems / sparse satellite dataset / satellite wide swath / reported gas emissions / physical and chemical properties / satellite datasets / field technology / imagery processing / slant processing / reconnaissance exploration tool / satellite observations / /

NaturalFeature

Andes / /

Organization

Chinese University of Hong Kong / European Space Agency / Centre for Water / Japan Aerospace Exploration Agency / International Congress / Queensland Water Commission / University of Queensland / ESA PI / Monash University / Victoria / Department of Civil Engineering / Canadian Space Agency / Queensland Government / School of Geosciences / Sustainable Minerals Institute / Department of Natural Resources and Mines / /

Person

Perissin / /

Position

model for volcanic stressing / /

Product

DInSAR / water / /

ProvinceOrState

Queensland / Victoria / Virunga Volcanic Province / /

PublishedMedium

Journal of Geophysical Research / /

Region

Eastern Australia / central Andes / /

Technology

remote sensing / DInSAR algorithm / ESA / geophysics / field technology / Neural Network / proposed algorithm / DInSAR algorithms / Simulation / data-driven algorithms / inversion algorithms / /

URL

www.mssanz.org.au/modsim2013 / /

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