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Analyzing Digital Terrain Attributes to Predict Soil Attributes for a Relatively Large Area

Dep. of Land, Water and Environment, Faculty of Agriculture, Univ. of Jordan, P.O. Box 13693, Amman 11942, Jordan

View larger version (84K): [in a new window]   Fig. 1. The spatial distribution of field observations and the subdivision of the study area into watersheds using the digital elevation model (DEM) for Al-Mafraq study area.

View larger version (109K): [in a new window]   Fig. 2. The watershed subdivisions classified into 26 classes using an unsupervised classification, and the average slope and area of each class.

View larger version (162K): [in a new window]   Fig. 3. The relationship between the position and characteristics of the terrain and the spatial distribution of the predicted soil depth using regression models.