Soil erosion spatial modeling with RUSLE in ArcGIS software

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

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Soil erosion spatial modeling with RUSLE in ArcGIS software

What You Will Learn!

  • Soil erosion
  • RUSLE
  • Modeling in ArcGIS
  • supervised classification
  • NDVI
  • hydrologic analysis
  • Model Builder
  • spatial analysis
  • Water erosion
  • spatial modelling

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 Should Attend!

  • soil scientists
  • earth scientists
  • geography students
  • master students
  • ecologists
  • agricultural scientists
  • farmers
  • environmental science students
  • land management profession
  • GIS students

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Tags

  • Earth Science
  • Spatial Analysis
  • ArcGIS

Subscribers

447

Lectures

44

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