Show simple item record

dc.contributor.author
Kiani Shahvandi, Mostafa
dc.date.accessioned
2021-03-10T16:38:07Z
dc.date.available
2021-01-05T11:33:18Z
dc.date.available
2021-03-10T16:36:48Z
dc.date.available
2021-03-10T16:38:07Z
dc.date.issued
2020
dc.identifier.uri
http://hdl.handle.net/20.500.11850/459461
dc.description.abstract
In this paper a new Geophysical gravimetry approach is presented, which is based on satellite imagery in remote sensing. The method uses a satellite image, together with a set of points in the image the gravity values of which are known. Template-based spheroidal spline method of interpolation is used to constitute a system of equations to find the values of gravity at other points in the image. A real case study is presented for the Qom region in Iran. Values of gravity are determined from the Landsat satellite image for this region, using 9 points in the image whose gravity values are known. Reference ellipsoid gravity values, which are based on coefficients derived from satellite gravimetry, are computed for this region, as well. Comparison between gravity values derived from Landsat image and those from reference ellipsoid shows that the standard deviation of the results is around 6.71 milli Gal, with the maximum of differences being 35 milli Gal.
en_US
dc.language.iso
en
en_US
dc.publisher
Civilica
en_US
dc.subject
Image gravimetry
en_US
dc.subject
Discrete spheroidal spline
en_US
dc.subject
Landsat satellite image
en_US
dc.subject
Reference ellipsoid gravity values
en_US
dc.title
Image Gravimetry: A New Remote Sensing Approach for Gravity Analysis in Geophysics
en_US
dc.type
Conference Paper
ethz.book.title
Proceedings of the Third International Congress of Science and Engineering
en_US
ethz.pages.start
GERMANCONF 03_195
en_US
ethz.size
13 p.
en_US
ethz.event
Third International Congress on Science and Engineering 2020
en_US
ethz.event.location
Hamburg, Germany
en_US
ethz.event.date
March 14-15, 2020
en_US
ethz.publication.place
Tehran
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::09707 - Soja, Benedikt / Soja, Benedikt
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::09707 - Soja, Benedikt / Soja, Benedikt
en_US
ethz.identifier.url
https://civilica.com/doc/1043081/
ethz.date.deposited
2021-01-05T11:33:28Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-03-10T16:37:00Z
ethz.rosetta.lastUpdated
2022-03-29T05:42:41Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Image%20Gravimetry:%20A%20New%20Remote%20Sensing%20Approach%20for%20Gravity%20Analysis%20in%20Geophysics&rft.date=2020&rft.spage=GERMANCONF%2003_195&rft.au=Kiani%20Shahvandi,%20Mostafa&rft.genre=proceeding&rft.btitle=Proceedings%20of%20the%20Third%20International%20Congress%20of%20Science%20and%20Engineering
 Search print copy at ETH Library

Files in this item

FilesSizeFormatOpen in viewer

There are no files associated with this item.

Publication type

Show simple item record