Using Monte Carlo simulation to improve the performance of semivariograms for choosing the remote sensing imagery resolution for natural resource surveys: Case study on three counties in East, Central, and West China

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Using Monte Carlo simulation to improve the performance of semivariograms for choosing the remote sensing imagery resolution for natural resource surveys: Case study on three counties in East, Central, and West China

© 2018 by the author. Semivariograms have been widely used in research to obtain optimal resolutions for ground features. To obtain the semivariogram curve and its attributes (range and sill), parameters including sample size (SS), maximum distance (MD), and group number (GN) have to be defined, as...

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Bibliographic Details
Main Authors:	Wang, J., Zhu, Junxiang, Han, X.
Format:	Journal Article
Published:	2018
Online Access:	http://hdl.handle.net/20.500.11937/77448

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