Modeling Soil Depth and Topographic Attributes Relationship for Predicting Soil Depth in Rimeleh Catchment, Lorestan Province

Determination of soil depth and its variations is possible through soil survey and drilling. This requires budget, time, and skilled personnel. Soil – landscape relationships approach makes it possible to develop the soil depth predictor model from topographic attributes by using multiple linear regression statistic method. In this research, primary and secondary topographic attributes of the Rimeleh catchment were derived from a Digital Elevation Model (DEM). Soil depth was determined at 189 systematically randomized positions of the catchment by soil drilling. Data of soil depth and topographic attributes were analyzed using SPSS 19 software. Results showed that the soil depth predicted by the model had significant negative correlation (P