![]() It is because when we were trying to collect elevation data for random points some of the points were falling in the areas which are not accessible. Although 93 sample points were used for accuracy assessment, their distribution may not be free of bias. The set of sample elevation data used for accuracy assessment of Google Earth's elevation model is presented in Table 1. Finally, a four meter interval contour map of the study area was prepared using terrain analyst module of ArcGIS for visual assessment of the DEM. It is useful when the theoretical distribution of a statistic of interest is complicated or unknown. It resamples the data with replacement based on Monte Carlo algorithm. Bootstrapping is a stochastic method for estimating the sampling distribution of an estimator. ![]() The above accuracy statistics were determined through 500 bootstrap iterations. ![]() N= 93, is the total number of observations. the above formulas, y i and y j are i reference elevation point and Google Earth derived elevation points respectively.
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