MONITORING THE IMPACTS OF EL NIÑO ON THE EXTENT OF CULTIVATED FIELDS USING SAR DATA AROUND THE AGRICULTURAL REGION OF THE FREE STATE, SOUTH AFRICA
A. Ngie,S. Tesfamichael,and F. Ahmed
A. Ngie
Department of Geography, Environmental management and Energy Studies, University of Johannesburg, P.O. Box 524 Auckland Park Johannesburg, 2006, South Africa
School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Private Bag 3, WITS, 2050, South Africa
S. Tesfamichael
Department of Geography, Environmental management and Energy Studies, University of Johannesburg, P.O. Box 524 Auckland Park Johannesburg, 2006, South Africa
F. Ahmed
School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Private Bag 3, WITS, 2050, South Africa
We developed and tested a conceptual model to estimate depression storage capacity (DSC) having small roughness values usually encountered in rainwater harvesting microcatchments in arid regions with only one fitting parameter. Results indicated that the developed linear model between DSC and the square root of the ration of random roughness (RR) to slope was significant. The model predicts depression storage of small relief at higher accuracy compared to other models found in the literature.