Soil erosion spatial modeling with RUSLE in ArcGIS software

Soil erosion spatial modeling with RUSLE in ArcGIS software, available at $64.99, has an average rating of 4.18, with 44 lectures, based on 102 reviews, and has 517 subscribers.

You will learn about Soil erosion RUSLE Modeling in ArcGIS supervised classification NDVI hydrologic analysis Model Builder spatial analysis Water erosion spatial modelling This course is ideal for individuals who are soil scientists or earth scientists or geography students or master students or ecologists or agricultural scientists or farmers or environmental science students or land management profession or GIS students It is particularly useful for soil scientists or earth scientists or geography students or master students or ecologists or agricultural scientists or farmers or environmental science students or land management profession or GIS students.

Enroll now: Soil erosion spatial modeling with RUSLE in ArcGIS software

Summary

Title: Soil erosion spatial modeling with RUSLE in ArcGIS software

Price: $64.99

Average Rating: 4.18

Number of Lectures: 44

Number of Published Lectures: 44

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 44

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Information about the course

Lecture 2: Start the RUSLE project

Chapter 2: Fundamental theory

Lecture 1: Soil

Lecture 2: Soil erosion

Lecture 3: Soil erosion prevention

Lecture 4: Different soil erosion models

Lecture 5: RUSLE model concept

Chapter 3: R factor (Rainfall erosivity)

Lecture 1: R factor. Theory

Lecture 2: Download precipitation data

Lecture 3: Global rainfall erosivity map from ESDAC

Lecture 4: Working with precipitation in NetCDF file of CRU

Lecture 5: Reproject monthly rainfall data

Lecture 6: R factor calculation with CRU monthly data

Lecture 7: R factor from EUJRE

Lecture 8: R factor for 30 meter pixel resolution

Chapter 4: K factor (Soil erodibility)

Lecture 1: K factor. Theory

Lecture 2: K factor calculation in Excel for dominant soil from FAO soil

Lecture 3: Fill attribute table with K factor

Lecture 4: Make K factor raster image

Lecture 5: K factor from soil database

Chapter 5: LS factor (Slope length)

Lecture 1: LS factor. Theory

Lecture 2: Download DEM

Lecture 3: Create Fill and flow direction for study area

Lecture 4: Flow accumulation

Lecture 5: Slope in radians

Lecture 6: LS factor map

Lecture 7: Correct LS values above 1000

Lecture 8: LS factor in SAGA GIS

Chapter 6: C factor (Land use and land cover)

Lecture 1: С factor. Theory

Lecture 2: Download Landsat images

Lecture 3: Composite bands

Lecture 4: Mosaic Landsat images

Lecture 5: NDVI map

Lecture 6: Making C factor map

Chapter 7: P factor (Conservation practice factor)

Lecture 1: P factor. Theory

Lecture 2: P factor table for slope and land cover

Lecture 3: Supervised classification of the study area in ArcGIS

Lecture 4: Reclasiffy slope and combine with classification map

Lecture 5: Assigning P factor values for classes in attribute table

Lecture 6: Extracting P values into seperate raster dataset and reprojecting

Chapter 8: Final water erosion modelling with RUSLE

Lecture 1: Making the final RUSLE model

Lecture 2: Resample into 100 meter resolution

Lecture 3: Making image representation for final map

Lecture 4: RUSLE model with LS factor from SAGA anf K factor from soil database

Instructors

GIS Lab
GIS

Rating Distribution

1 stars: 2 votes
2 stars: 3 votes
3 stars: 8 votes
4 stars: 40 votes
5 stars: 49 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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