Computer technology of terrain correction evaluation in gravity survey

Dolgal, A. S.; Bychkov, S.G.; Antipin, V. K.

doi:10.3997/2214-4609-pdb.38.f222

Cited by 1 publication

(3 citation statements)

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“…The incontestable advantage of the ATM is the possibility to recover height values z for the arbitrary grid nodes. Dolgal et al (2003) experimentally determined that highresolution topography can be expressed by a double Fourier series with a limited number of terms. For approximating functions z (x, y), trigonometric functions are chosen.…”

Section: " L O C a L " T E R R A I N C O R R E C T I O N C O M P U T mentioning

confidence: 99%

“…The area of zone D 2 can be from tens of thousands to a few hundred thousand square kilometers. Special features of the “regional” terrain can be represented with a high level of detail using data in the GTOPO30 height matrix and Shuttle Radar Topography Mission (SRTM) reference tool (Dolgal, Bychkov, and Antipin ; Hećimović and Bašić ; Jia, Davis, and Groom ; Tsoulis, Novák, and Kadlec ), covering almost the entire surface of the Earth and freely available on the Internet. GTOPO30 is a 30‐second DTM obtained by the US Geological Survey, and SRTM is a 3‐second DTM obtained by satellite radar interferometry survey (National Imagery and Mapping Agency, USA).…”

Section: A New Approach To Terrain Correctionmentioning

confidence: 99%

“…Dolgal et al . () experimentally determined that high‐resolution topography can be expressed by a double Fourier series with a limited number of terms. For approximating functions z ≈ Ψ( x, y ), trigonometric functions are chosen.…”

Section: “Local” Terrain Correction Computationmentioning

confidence: 99%

See 2 more Smart Citations

Gravimetric survey terrain correction using linear analytical approximation

Bychkov

Dolgal

Костицын

et al. 2015

Geophysical Prospecting

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Various methods for computing the terrain correction in a high‐precision gravity survey are currently available. The present paper suggests a new method that uses linear analytical terrain approximations. In this method, digital terrain models for the near‐station topographic masses are obtained by vectorizing scan images of large‐scaled topographic maps, and the terrain correction computation is carried out using a Fourier series approximation of discrete height values. Distant topography data are represented with the help of digital GTOPO30 and Shuttle Radar Topography Mission cartographic information. We formulate linear analytical approximations of terrain corrections for the whole region using harmonic functions as the basis of our computational algorithm. Stochastic modelling allows effective assessment of the accuracy of terrain correction computation. The Perm Krai case study has shown that our method makes full use of all the terrain data available from topographic maps and digital terrain models and delivers a digital terrain correction computed to a priori precision. Our computer methodology can be successfully applied for the terrain correction computation in different survey areas.

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Section: " L O C a L " T E R R A I N C O R R E C T I O N C O M P U T mentioning

confidence: 99%

Section: A New Approach To Terrain Correctionmentioning

confidence: 99%