The effect of different sampling schemes on estimation precision of snow water equivalent (SWE) using geostatistics techniques in a semi-arid region of Iran. Issue 16 (9th December 2020)

• Record Type: Journal Article
• Authors: Ganjkhanlo, Hojatolah; Vafakhah, Mehdi; Zeinivand, Hossein; Fathzadeh, Ali
• Is Part Of: Geocarto international. Volume 35:Issue 16(2020)
• Page Start: 1769
• Page End: 1782
• Publication Date: 2020-12-09
• Subjects: Hypercube -- mapping -- sampling -- snow water equivalent -- geostatistics; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2019.1581267
• Languages: English
• ISSNs: 1010-6049

Abstract

Abstract: The aim of this study is to compare the effect of two sampling patterns: systematic sampling and Latin hypercube sampling (LHS), on estimation precision of snow water equivalent (SWE), and also comparing different geostatistics methods of kriging, cokriging and radial basin functions for mapping SWE. To achieve the study purpose, the semi-arid mountainous watershed of Sohrevard in Zanjan Province of Iran was selected. Snow depth in 150 points with systematic sampling and 150 points with LHS sampling and snow density in 18 points were randomly measured. In addition, SWE was calculated in the study area, and its map was derived based on both the sampling methods using geostatistical techniques. The results showed that the accuracy of the SWE map using LHS was higher than systematic sampling. According to the most statistical indicators, in both methods of sampling, accuracy of mapping using regular spline was better than other methods.