Soil erosion spatial modelling with RUSLE in ArcGIS software

Mapping of soil loss per annum with geospatial tools for any study area: step by step guide

What you'll learn
Soil erosion
RUSLE
Modeling in ArcGIS
supervised classification
NDVI
hydrologic analysis
Model Builder
spatial analysis
Requirements
PC or laptop
ArcGIS software
Internet
Basic knowledge of ArcGIS is preferential
Description
In this course, students will learn to model soil erosion of any given study area with the RUSLE (Revised Universal Soil Loss Equation) model in the most famous and widely used GIS software - ESRI ArcGIS. I will guide you through the course from what to start the RUSLE model and how to accomplish it and get a final soil erosion map of a study area.

The course is divided into 6 sections. The initial five sections refer to each parameter of the model - R (soil erosivity), K ( soil erodibility), LS (slope length), C ( land use and land cover), and P (crop management) factors and making final RUSLE modelling. No need for the field data. You just need the software and internet to execute the final map of soil erosion.

With this course, you will be able to make a spatial map of soil loss for any study area you want applying the most widely used soil erosion model in the world by soil scientists. Initial knowledge of ArcGIS and basic knowledge of geoinformatics are welcomed, but not necessary.

Besides just modelling, you will master such tools as supervised classification, NDVI map, hydrologic analysis, model builder, and some other useful tools, in case you are not familiar with them.

The course is easy to follow and accomplish. Mastering the modelling of water erosion is very helpful and in demand for specialists of a different kind, such as soil scientists, agricultural scientists, earth scientists, environmental scientists etc. Many course works as well as bachelor and master dissertations in universities include the research on soil erosion spatial modelling.

Who this course is for
soil scientists
earth scientists
geography students
master students
ecologists
agricultural scientists
farmers
environmental science students
land management profession
GIS students