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How sample size can effect landslide size distribution

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Figure

Fig. 1 a SPOT images that cover the Xiayang-Wangtai (XW) area after the rainfall event in mid-to-late June, 2010 is shown; Lines labeled withnumbers indicate cumulative rainfall (mm) in this event
Table 1 Statistical characteristics of landslide dataset and subsets
Fig. 3 The statistical characteristics of the estimated power exponents (fγ) and rollovers (R) regarding different sample size are presented
Fig. 4 The correlations between the estimated power exponents, rollovers and average volumes for sample size 10,000 (a, c, e) and 1,000 (b, d, fare presented
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