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GIS Lab

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. 

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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.

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What's inside

Syllabus

Introduction
Information about the course
Start the RUSLE project
Fundamental theory
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Applies the Revised Universal Soil Loss Equation (RUSLE) model, which is widely used by soil scientists for estimating soil erosion, making it highly relevant for professionals in this field
Covers supervised classification, NDVI map creation, and hydrologic analysis, which are valuable skills for students and researchers in environmental science and related fields
Includes guidance on using the Model Builder tool in ArcGIS, which is beneficial for automating spatial analysis workflows in research and professional settings
Employs ArcGIS software, which is a standard tool in the field of geographic information systems and is widely used in both academic and professional settings
Requires the use of ArcGIS software, which may necessitate a license or access through an educational institution, potentially posing a barrier for some learners
Utilizes Landsat imagery, which is freely available, but learners should be aware that processing and analysis of this data may require significant computational resources

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Reviews summary

Practical rusle modeling with arcgis

According to learners, this course provides a practical, step-by-step guide (positive) to soil erosion modeling using the RUSLE model (neutral) within ESRI ArcGIS software (neutral). Students find it particularly useful for academic dissertations and professional projects (positive). The curriculum covers each RUSLE factor (R, K, LS, C, P) in detail and teaches valuable related GIS skills like supervised classification (neutral), NDVI mapping (neutral), and using ModelBuilder (positive). While some students reported minor challenges with specific ArcGIS versions or data acquisition steps (warning), the overall feedback highlights its effectiveness in teaching the necessary workflow. It is described as accessible for those with basic GIS knowledge (positive) and a solid foundation for applying RUSLE modeling.
Easier to follow with prior GIS knowledge.
"While not strictly required as stated, having some ArcGIS familiarity helps a lot with following along."
"If you're completely new to GIS software, there's a steeper initial learning curve to navigate."
"Felt more comfortable having used ArcGIS a little beforehand; it smoothed the process."
Teaches valuable related ArcGIS tools.
"Learning ModelBuilder for automating the RUSLE process was a huge plus for me."
"The sections on supervised classification and NDVI mapping were very useful for my overall GIS skills."
"Mastered several key GIS tools needed for spatial analysis beyond just the RUSLE model itself."
Covers all RUSLE factors in detail.
"Each RUSLE factor (R, K, LS, C, and P) is explained and calculated clearly within ArcGIS."
"Liked how R, K, LS, C, and P factors were covered step-by-step, making the full model understandable."
"The course goes through every component needed for constructing the final RUSLE model map."
Clear, step-by-step guide for RUSLE modeling.
"The step-by-step approach makes it easy to follow the complex process of RUSLE modeling in ArcGIS."
"I appreciated how the course breaks down each factor into manageable steps, building the model piece by piece."
"Followed the workflow easily to create my own erosion map for a specific study area."
Directly applicable to academic and professional tasks.
"This course was invaluable for completing my master's dissertation which required soil erosion analysis."
"I can now apply RUSLE modeling techniques directly to my work projects in environmental consulting."
"Provides exactly the skills needed for conducting spatial analysis for environmental reports and research."
Some faced issues with software or data sources.
"Had some trouble with data download steps mentioned in the course, required extra searching."
"My specific version of ArcGIS behaved slightly differently than shown in the videos, requiring minor adjustments."
"Finding the exact datasets or equivalents used in the examples required some extra effort on my part."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Soil erosion spatial modeling with RUSLE in ArcGIS software with these activities:
Review Basic GIS Concepts
Reinforce your understanding of fundamental GIS concepts to better grasp the spatial modeling techniques used in the course.
Show steps
  • Review key GIS terminology and concepts.
  • Practice basic GIS operations like buffering and overlay.
  • Familiarize yourself with different types of spatial data.
Read 'Remote Sensing and Image Interpretation'
Enhance your understanding of remote sensing techniques used for land cover mapping, a key component of the RUSLE model.
Show steps
  • Obtain a copy of the book.
  • Focus on chapters related to image interpretation and land cover classification.
  • Take notes on key concepts and techniques.
Read 'Soil Erosion: Processes, Prediction, Measurement, and Control'
Gain a deeper understanding of soil erosion processes and modeling techniques by studying a comprehensive textbook on the subject.
Show steps
  • Obtain a copy of the book.
  • Read chapters related to soil erosion processes and modeling.
  • Take notes on key concepts and equations.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Supervised Classification in ArcGIS
Sharpen your skills in supervised classification, a crucial technique for creating land use and land cover maps used in the RUSLE model.
Show steps
  • Download sample satellite imagery.
  • Perform supervised classification on the imagery using ArcGIS.
  • Evaluate the accuracy of your classification results.
Explore ArcGIS ModelBuilder Tutorials
Master ArcGIS ModelBuilder to automate the RUSLE modeling process and improve efficiency.
Show steps
  • Search for ArcGIS ModelBuilder tutorials online.
  • Follow tutorials to create simple geoprocessing models.
  • Adapt the tutorials to build a RUSLE model in ModelBuilder.
Create a RUSLE Model Report for a Sample Area
Solidify your understanding of the RUSLE model by applying it to a new study area and documenting your process and results.
Show steps
  • Select a study area and gather necessary data.
  • Calculate the RUSLE factors for the study area.
  • Create a soil erosion map using ArcGIS.
  • Write a report summarizing your methodology and findings.
Contribute to an Open Source GIS Project
Deepen your understanding of GIS and spatial modeling by contributing to an open-source project related to soil erosion or environmental modeling.
Show steps
  • Identify an open-source GIS project related to soil erosion.
  • Explore the project's codebase and documentation.
  • Contribute by fixing bugs, writing documentation, or adding new features.

Career center

Learners who complete Soil erosion spatial modeling with RUSLE in ArcGIS software will develop knowledge and skills that may be useful to these careers:
Soil Scientist
A Soil Scientist studies the composition, distribution, and management of soils. The course equips students with the practical ability to model soil erosion using the Revised Universal Soil Loss Equation in ArcGIS, a core skill for a Soil Scientist. The course's detailed exploration of RUSLE factors, including soil erodibility (K factor) and slope length (LS factor), provides a strong foundation for conducting soil erosion assessments. The course also provides hands-on learning to create spatial maps of soil loss, allowing for effective communication of findings and recommendations.
GIS Analyst
A Geographic Information Systems Analyst uses GIS software to analyze spatial data. This course helps to learn how to model soil erosion using the RUSLE model within ArcGIS, providing a practical application of GIS skills that are immediately transferable to a career as a GIS Analyst. The course provides an overview of the RUSLE model, along with hands on experience using ArcGIS tools to determine factors such as rainfall erosivity, soil erodibility, slope length, land use, and conservation practices. A GIS Analyst would also benefit from the modules on supervised classification, NDVI map creation, and hydrologic analysis.
Environmental Scientist
An Environmental Scientist studies the interactions between humans and the environment. Soil erosion poses a significant threat to environmental health. This course helps to model soil erosion using the RUSLE model within ArcGIS. The course's comprehensive exploration of RUSLE factors such as rainfall erosivity, soil erodibility, and slope length is transferrable to assessing environmental impact. The ability to generate spatial maps of soil loss enables effective communication of findings and recommendations. The course may also be useful by teaching supervised classification and hydrologic analysis.
Environmental Consultant
An Environmental Consultant assesses environmental problems and recommends solutions. This frequently involves analyzing soil erosion risks, and this course directly addresses that skill. Learning to model soil erosion using RUSLE in ArcGIS will make one a more competitive candidate for this role. The course's focus on creating spatial maps of soil loss and its coverage of factors like rainfall erosivity, soil erodibility, and land use, offers expertise valuable for evaluating environmental impact and advising on sustainable practices. Furthermore, the skills in supervised classification and hydrologic analysis can contribute to broader environmental assessments.
Geospatial Data Scientist
A Geospatial Data Scientist analyzes location data to derive insights and solve problems. Creating soil erosion maps is a geospatial problem that helps protect environments. This course is of value, equipping one with the skills to model soil erosion using the RUSLE model within ArcGIS. The course provides practical experience in preparing and analyzing spatial data such as DEMs, satellite imagery, and soil maps. In particular, the ability to develop custom models using ModelBuilder could be valuable. The skills in supervised classification, NDVI map creation, and hydrologic analysis could be useful.
Watershed Manager
A Watershed Manager develops and implements plans to protect and improve the health of a watershed. Soil erosion is a major problem that affects the quality of water. This course teaches how to model soil erosion using the RUSLE model within ArcGIS, which is a valuable skill for a Watershed Manager. The course's detailed exploration of factors governing soil erosion, including soil erodibility, slope length, land use, and conservation practices, facilitates the development of effective watershed management plans. The ability to create spatial maps is also applicable.
Agricultural Scientist
An Agricultural Scientist researches ways to improve the efficiency and sustainability of agricultural practices. Understanding and mitigating soil erosion is a critical aspect of this. This course helps build a foundation in modeling soil erosion using the RUSLE model within ArcGIS. In particular, the course's deep dive into the C factor (land use and land cover) and the P factor (crop management) is directly relevant to agricultural applications. Moreover, the ability to generate spatial maps of soil loss is valuable for assessing the impact of different farming techniques and developing conservation strategies.
Sustainability Consultant
A Sustainability Consultant advises organizations on how to operate in a more environmentally responsible and sustainable manner. Soil erosion constitutes a significant threat to long-term sustainability. The ability to model soil erosion using the RUSLE model within ArcGIS could be valuable. The course's comprehensive exploration of RUSLE factors such as rainfall erosivity, soil erodibility, and slope length may allow the consultant to assess the sustainability of different land management practices. Also, the ability to generate spatial maps may communicate risks and recommendations.
Conservationist
A Conservationist works to protect and manage natural resources. Soil conservation is a key aspect of this. This course helps equip one with the skills to model soil erosion using the RUSLE model within ArcGIS. Conservationists can use this ability to assess the effectiveness of different conservation practices and identify areas that are most vulnerable to erosion. Of particular relevance is the course's focus on the P factor (conservation practice factor) within the RUSLE model. Furthermore the capability to generate spatial maps of soil loss could be used to communicate the importance of conservation efforts.
Environmental Planner
An Environmental Planner develops plans and strategies for managing and protecting the environment. Soil erosion is a crucial factor to consider in land management. This course helps by providing abilities in modeling soil erosion using the RUSLE model within ArcGIS. The ability to create spatial maps of soil loss allows one to visualize and communicate the potential impacts of development projects, and advocate for sustainable land use practices. Modules about R factor (Rainfall erosivity), K factor (Soil erodibility), LS factor (slope length), C factor (land use and land cover), and P factor (crop management) could be valuable in assessing the environmental impact of different planning scenarios.
Natural Resource Manager
A Natural Resource Manager oversees the sustainable use and protection of natural resources. This course helps in the area of soil management. The ability to model soil erosion using the RUSLE model within ArcGIS allows one to assess the impact of land use practices on soil health. The course's coverage of RUSLE factors, including soil erodibility, slope length, land use, and conservation practices, provides a framework for developing sustainable management plans. The spatial mapping skills taught in the course could be valuable in communicating management strategies to stakeholders.
Hydrologist
A Hydrologist studies the movement, distribution, and quality of water. While this role concerns water in general, soil erosion is a major factor in water quality and watershed management. This course helps build a strong foundation in understanding and modeling soil erosion using the RUSLE model within ArcGIS. Hydrologists can leverage the skills gained in this course to assess the impact of soil erosion on water resources. The course's module on hydrologic analysis, along with its exploration of factors like rainfall erosivity, offers tools and knowledge applicable to broader hydrological studies.
Remote Sensing Analyst
A Remote Sensing Analyst analyzes remotely sensed data, frequently satellite or aerial imagery, to extract information about the Earth's surface. The skills could be adapted for the study of soil erosion. This course helps build competence in creating NDVI maps which are closely associated with assessing vegetation cover, which directly impacts soil erosion. Also relevant, this course teaches how to download and process Landsat images to determine land use and land cover (C factor), an important component of the RUSLE model. Further, they will gain experience in supervised classification which is a fundamental technique in remote sensing.
Urban Planner
An Urban Planner develops plans and policies for the growth and development of urban areas. While the connection is indirect, soil erosion impacts urban environments through sedimentation of waterways and destabilization of infrastructure. Also, urban areas can experience gully erosion. This course may be useful in urban planning by providing the ability to model soil erosion using the RUSLE model within ArcGIS. Moreover, the ability to generate spatial maps of soil loss allows one to visualize and communicate the potential impacts of development projects on soil erosion. The course's modules on land use and land cover (C factor) also apply.
Land Surveyor
A Land Surveyor measures and maps land to determine property boundaries and topography. The course may be useful as it allows one to incorporate soil erosion modeling into land assessments. Learning the RUSLE model in ArcGIS can add a valuable dimension to surveying work, allowing one to identify and assess the risk of soil erosion on a given property. Exposure to creating slope and flow direction maps from DEM data could be helpful. This skill is particularly valuable in areas prone to landslides or other forms of soil degradation.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Soil erosion spatial modeling with RUSLE in ArcGIS software.
Provides a comprehensive overview of soil erosion processes, prediction models, measurement techniques, and control strategies. It offers a deeper understanding of the theoretical background behind the RUSLE model. It valuable resource for understanding the complexities of soil erosion and its management. This book is useful as additional reading to expand on the concepts covered in the course.
Standard textbook on remote sensing principles and image interpretation techniques. It provides a solid foundation for understanding the data sources and methods used to derive land cover information for the C factor in the RUSLE model. It is particularly helpful for understanding the theory behind satellite imagery and its applications. This book is useful as additional reading to expand on the concepts covered in the course.

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