Document Type : Original Article

Authors

1 Soil science department, Shahid Chamran University

2 Soil Science department

Abstract

The most important factors which are effective for landscape analysis is spatial resolution of digital elevation model (DEM).In this study, the effect of spatial resolution on soil parameters and modeling of soil properties have studied. For this research 6 parameters including (height, slope gradient, slope aspect, minimal curvature, upland area and sediment transportation index) from 5 different spatial resolutions (10, 30 (base), 60,90 and 120) have originated and for modeling of soil properties (soil texture, K, P,EC,pH and soil depth) have used. The differences between mean of each parameter of spatial resolutions accomplished using Kruskal-Wallis test and multi linear regression, then the best model in each spatial resolution was selected based on AICC index. Our results depicted that with coarser DEM, the mean of slope gradient (G), sediment transportation index (STI) and the minimum curvature (Cmin) were decreased whereas the mean and minimum of upslope area (UP) was enhanced. Statistical indices of height showed the low sensivity to spatial resolution variations. Changes of mean and maximum slope aspect in different spatial resolutions have no regular trend. Only minimum curvature and upland area have significant difference relating to different spatial resolutions. With changes of DEM spatial resolution, the best combination of parameters for modeling of soil properties and AICc and R2adj will be change. Finally, our results illustrated that for an area with high variability of geomorphic conditions, there is no capability to use only one specific resolution for all soil properties.

Keywords

 
 
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