By a News Reporter-Staff News Editor at Science Letter -- Researchers detail new data in Geodetics. According to news reporting from Changsha, People’s Republic of China, by NewsRx journalists, research stated, “This paper presents a method for deriving time-series three-dimensional (3-D) displacements of mining areas from a single-geometry interferometric synthetic aperture radar (InSAR) dataset (hereafter referred to as the SGI-based method). This is mainly aimed at overcoming the limitation of the traditional multi-temporal InSAR techniques that require SAR data from at least three significantly different imaging geometries to fully retrieve time-series 3-D displacements of mining areas.”
Financial supporters for this research include National Natural Science Foundation of China (CN), National Natural Science Foundation of China, Primary Research & Development Plan of Hunan Province.
The news correspondents obtained a quote from the research from Central South University, “The SGI-based method first generates the multi-temporal observations of the mining-induced vertical subsidence from the single-geometry InSAR data, using a previously developed method for retrieving 3-D mining-related displacements from a single InSAR pair (SIP). The weighted least-squares solutions of the time series of vertical subsidence are estimated from these generated multi-temporal observations of vertical subsidence. Finally, the time series of horizontal motions in the east and north directions are estimated using the proportional relationship between the horizontal motion and the subsidence gradient of the mining area, on the basis of the SGI-derived time series of vertical subsidence. Seven ascending ALOS PALSAR images from the Datong mining area of China were used to test the proposed SGI-based method. The results suggest that the SGI-based method is effective.”
According to the news reporters, the research concluded: “The SGI-based method not only extends the SIP-based method to time-series 3-D displacement retrieval from a single-geometry InSAR dataset, but also limits the uncertainty propagation from InSAR-derived deformation to the estimated 3-D displacements.”
For more information on this research see: Deriving time-series three-dimensional displacements of mining areas from a single-geometry InSAR dataset. Journal of Geodesy , 2018;92(5):529-544. Journal of Geodesy can be contacted at: Springer, 233 Spring St, New York, NY 10013, USA. (Springer - www.springer.com; Journal of Geodesy - http://www.springerlink.com/content/0949-7714/)
Our news journalists report that additional information may be obtained by contacting Z.W. Li, Central South University, Sch Geosci & Infophys, Changsha 410083, Hunan, People’s Republic of China. Additional authors for this research include Z.F. Yang, J.J. Zhu, G.C. Feng, Q.J. Wang, J. Hu and C.C. Wang.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s00190-017-1079-x. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2018, NewsRx LLC
CITATION: (2018-05-04), Findings from Central South University Provide New Insights into Geodetics (Deriving time-series three-dimensional displacements of mining areas from a single-geometry InSAR dataset), Science Letter, 513, ISSN: 1538-9162, BUTTER® ID: 015603218
From the newsletter Science Letter.
https://www.newsrx.com/Butter/#!Search:a=15603218
This is a NewsRx® article created by NewsRx® and posted by NewsRx®. As proof that we are NewsRx® posting NewsRx® content, we have added a link to this steemit page on our main corporate website. The link is at the bottom left under "site links" at https://www.newsrx.com/NewsRxCorp/.
We have been in business for more than 20 years and our full contact information is available on our main corporate website.
We only upvote our posts after at least one other user has upvoted the article to increase the curation awards of upvoters.
NewsRx® offers 195 weekly newsletters providing comprehensive information on all professional topics, ranging from health, pharma and life science to business, tech, energy, law, and finance. Our newsletters report only the most relevant and authoritative information from qualified sources.