Abstract
The presented paper describes the geostatistical analysis of PSInSAR data. This analysis was preceded by short description of PSInSAR technique. The geostatistical computations showed in this article were performed with the R open-source software containing the gstat package. The analysis contains variograms computing (directional variograms) and ordinary kriging interpolation. The computationally costly problems in geostatistical analysis of PSInSAR data were discussed.
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Ferretti, A., Prati, C., Rocca, F.: Permanent Scatterers in SAR Interferometry. IEEE Transaction on Geoscience and Remote Sensing 39(1), 8–20 (2001)
Lesniak, A., Porzycka, S.: Environment monitoring using satellite radar interferometry technique (PSInSAR). Polish Journal of Environmental Studies 17(3A), 382–387 (2008)
Goovaerts, P.: Geostatistics for Natural Resources Evaluation. Oxford University Press, New York (1997)
Weckernagel, H.: Multivariate Geoststistics. Springer, Heidelberg (1995)
Bivand, R.S., Pebesma, E.J., Gomez-Rubio, V.: Applied Spatial Data Analysis with R. Springer, New York (2008)
Border, S.: The use of indicator kriging as a biased estimator to discriminate between ore and waste. Applications of Computers in the Mineral Industry, University of Wollongong, N.S.W (1993)
Kerry, K.E., Hawick, K.A.: Kriging Interpolation on High-Performance Computers. In: Bubak, M., Hertzberger, B., Sloot, P.M.A. (eds.) HPCN-Europe 1998. LNCS, vol. 1401, pp. 429–438. Springer, Heidelberg (1998)
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Lesniak, A., Porzycka, S. (2009). Geostatistical Computing in PSInSAR Data Analysis. In: Allen, G., Nabrzyski, J., Seidel, E., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2009. Lecture Notes in Computer Science, vol 5544. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01970-8_39
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DOI: https://doi.org/10.1007/978-3-642-01970-8_39
Publisher Name: Springer, Berlin, Heidelberg
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