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With growing pressure on landscapes and natural resources, there is an increasing need to predict the occurrence of erosion and any changes to the environment. Erosion modelling using GIS applications can help predict these consequences by estimating areas of high erodibility. This can help plan land use strategies and guide government policy on soil conservation, and can also provide information about current erosion, its trends, and future scenario analysis. However, it is important to choose the right model in accordance with the type of features (i.e. soil type, slope steepness, etc.) that are considered relevant for the model at hand. One of the main purposes of this study is to aim at comparing the predictions of soil erosion between three different models. These models include the Universal Soil Loss Equation (USLE) model, the Revised Universal Soil Loss Equation (RUSLE) model and the Coordination of Information on the Environment (CORINE) model. Lastly, the study aims at determining each models accuracy by using a confusion matrix, and presents the reader a variety of erosion models as options for future implementations. https://viurrspace.ca/bitstream/handle/10613/27434/MosherReport.pdf?sequence=3 |
