Evaluation of distinctive normalized difference vegetation indices in soil erosion estimation using remote sensing concepts in Wadi Yalamlam, Saudi Arabia

摘要

Automated soil erosion estimation techniques were used for decades with a continuous model's development for reliable estimates. Revised Universal Soil Loss Equation (RUSLE) utilizes remote sensing data in the form of Normalized Difference Vegetation Index (NDVI) layer that would be converted into what is so called the C-Factor of the equation. The spatial resolution of the remote sensing data plays an important role in deriving the NVDI layer. Therefore, two different remote sensing data will be used to derive two different NDVI layers with 30 and 10 m spatial resolution. The results of the utilizing the different remote sensing data were crossed checked against ground truth data collected from 37 points randomly distributed within the designated study area.