Introduction to GIS and Remote Sensing with R from Udemy

Hello. I invite you to enroll in my course on GIS and remote sensing using R software, which you will be able to combine seamlessly with

Give a twist to your professional career with a new skill that will put you a step above the rest, because programming applied to GIS and remote sensing is here to stay.

R is a program widely used around the world and makes it easy to analyze satellite data. Forget about spending hours processing an image or vector file. Increase your productivity and don't fill your computer with unnecessary memory.

Forget about having to perform the same procedure over and over again in a slow and tiring way. Create your own programming codes, giving them your special touch, because programming is an art and merged with GIS and remote sensing creates a masterpiece.

Welcome to the world of reproducible research, where through programming codes you will be able to replicate specific tasks and functions as many times as you want and in an easy way.

Be part of the worldwide R community, where everyone helps each other in order to learn as much as possible.

What are you waiting for. It's up to you to join the world of Big Data in remote sensing.

See you in class.

Andrés.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Incorporates coding and programming into GIS and remote sensing, advancing skills in both fields

Leverages R, a widely recognized and utilized programming language for analyzing satellite data

Enhances productivity and efficiency by automating tasks with custom programming codes

Embraces reproducible research, allowing for easy replication and verification of results

Connects learners to a global community of R users, fostering collaboration and knowledge sharing

Reviews summary

Practical gis and remote sensing with r

According to learners, this course offers a highly practical and hands-on introduction to GIS and remote sensing using R. Many commend its focus on automation and reproducible research, finding it incredibly valuable for professional development and productivity. Students highlight the clear explanations and easy-to-follow code examples provided by the instructor. While some absolute beginners with no prior programming experience found the pace challenging in later sections, the consensus is that it provides a solid foundation. Recent reviews indicate the course has seen continuous improvements, addressing earlier concerns about consistency.

Covers broad topics, but some areas could use more depth.

"I felt some parts, particularly on advanced data processing, could have gone deeper."

"It's a good foundation, but I definitely need to seek out additional resources to fully grasp everything, especially the remote sensing specific parts."

"The depth is not always consistent; some topics feel very introductory, while others jump to advanced levels."

"I think the quizzes were a bit too simple compared to the project complexity. A few more conceptual explanations wouldn't hurt."

Course content shows signs of ongoing updates and refinement.

"Some of the older material felt slightly less polished, but recent updates seem to have addressed some of these concerns."

"The material is very up-to-date and practical; it feels continuously maintained."

"I noticed that the course has improved over time, becoming even more comprehensive."

"It's clear the instructor is responsive to feedback, making the learning experience better for everyone."

Instructor provides clear explanations and useful examples.

"The instructor explained complex topics clearly and provided real-world examples."

"The instructor's explanations are superb, and the code examples are easy to follow."

"I loved how the instructor demystified complex Big Data techniques."

"The instructor was very responsive in the forums too, which was incredibly helpful."

Equips students with practical, job-ready skills in GIS & R.

"The hands-on projects using R for GIS and remote sensing were incredibly practical. I already feel confident applying these skills in my job."

"Learning to combine R with GIS for big data was exactly what I needed. This course significantly improved my productivity."

"As a professional in urban planning, integrating GIS with R has been a long-standing goal. This course delivered perfectly."

"The emphasis on automation and reproducible workflows is a major plus, and I gained valuable skills."

Pace can be challenging for those without R background.

"For a complete beginner, it might be a bit fast-paced at times, but still manageable."

"I struggled with the pace. While the R programming aspects were clear, the GIS concepts were sometimes rushed."

"I have no prior programming experience, and it quickly assumes a level of comfort with R that I didn't have."

"Some topics feel very introductory, while others jump to advanced levels which can be difficult to follow."

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 Introduction to GIS and Remote Sensing with R with these activities:

Review 'Introduction to GIS and Remote Sensing' by David H. Green

Show steps

Get a basic understanding of the concepts of GIS and remote sensing.

View Conserving Forest Diversity through Ecosystem... on Amazon

Show steps

Read Chapters 1-3
Complete the exercises in Chapter 3

Organize your course notes, assignments, quizzes, and exams

Show steps

Stay organized and improve your understanding of the course material by organizing your notes and assignments.

Show steps

Create a system for organizing your materials.
Regularly review and update your organized materials.
Use your organized materials to study for quizzes and exams.

Review R for Data Science by Hadley Wickham

Show steps

Gain a solid foundation in R programming and data analysis by reading this comprehensive guide.

View R Packages on Amazon

Show steps

Read the first three chapters of the book.
Complete the exercises at the end of each chapter.

Ten other activities

Expand to see all activities and additional details

Show all 13 activities

Complete online coding challenges on platforms like HackerRank or LeetCode

Show steps

Sharpen your coding skills and prepare for technical interviews by practicing coding challenges.

Browse courses on Coding

Show steps

Choose a platform and sign up.
Select a challenge and attempt to solve it.
Review your solution and identify areas for improvement.

Follow online tutorials on GIS or remote sensing topics

Show steps

Expand your knowledge and skills by following structured tutorials on specific GIS or remote sensing topics.

Show steps

Identify a topic that you want to learn more about.
Find a reputable online tutorial.
Follow the tutorial step-by-step.

Follow the 'GIS and Remote Sensing with R' tutorial series

Show steps

Develop practical skills in using R for GIS and remote sensing tasks.

Browse courses on GIS

Show steps

Watch the video tutorials
Complete the practice exercises
Apply the techniques to a small project

Write a blog post on a GIS or remote sensing topic

Show steps

Enhance your understanding of a topic by teaching it to others through a well-written blog post.

Browse courses on GIS

Show steps

Choose a topic that you are passionate about.
Research the topic thoroughly.
Write a clear and concise blog post.

Participate in workshops or training sessions on GIS or remote sensing software or techniques

Show steps

Enhance your skills and knowledge by participating in workshops or training sessions conducted by industry experts.

Show steps

Identify relevant workshops or training sessions.
Register for the events and attend.
Actively participate in the workshops and ask questions.

Complete the 'R for GIS' practice problems

Show steps

Improve your proficiency in using R for GIS and remote sensing.

Browse courses on R Programming

Show steps

Solve the practice problems
Check your answers against the provided solutions

Create a portfolio of data visualizations using R

Show steps

Showcase your GIS and remote sensing skills by creating a portfolio of compelling data visualizations.

Show steps

Identify a dataset to visualize.
Choose appropriate visualization techniques.
Create the visualizations using R.

Attend industry events and meetups related to GIS or remote sensing

Show steps

Expand your professional network and stay up-to-date on the latest trends by attending industry events.

Show steps

Identify relevant industry events and meetups.
Register for the events and attend.
Network with other professionals and learn about their work.

Create a map of your local area using R

Show steps

Apply your skills to create a practical and visually appealing representation of your local area.

Browse courses on GIS

Show steps

Acquire data on your local area
Preprocess and analyze the data using R
Create a map using the 'ggplot2' package

Develop a GIS map or remote sensing analysis project

Show steps

Apply your GIS and remote sensing skills to solve a real-world problem or demonstrate your understanding of a complex concept.

Show steps

Define the scope of the project.
Gather and prepare the necessary data.
Analyze the data using GIS or remote sensing techniques.

Career center

Learners who complete Introduction to GIS and Remote Sensing with R will develop knowledge and skills that may be useful to these careers:

Geospatial Analyst

A Geospatial Analyst combines their knowledge in geography and information systems to analyze and solve geographic problems. They may work with satellite imagery and other Earth observation data to identify patterns and trends or create maps and other visualizations to communicate geospatial information. This course provides a strong foundation in GIS and remote sensing using R software, which are essential skills for a Geospatial Analyst.

See salaries and explore the career path for Geospatial Analyst

Remote Sensing Analyst

Remote Sensing Analysts use satellite imagery and other Earth observation data to analyze and interpret the Earth's surface. They may work with a variety of software and tools to process and analyze data, including R software. This course provides a strong foundation in GIS and remote sensing using R, which are essential skills for a Remote Sensing Analyst.

See salaries and explore the career path for Remote Sensing Analyst

GIS Specialist

GIS Specialists use geographic information systems (GIS) to create and manage geographic data. They may work with a variety of software and tools to collect, process, and analyze data, including R software. This course provides a strong foundation in GIS and remote sensing using R, which are essential skills for a GIS Specialist.

See salaries and explore the career path for GIS Specialist

Data Scientist

Data Scientists use data to solve problems and make decisions. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Data Scientists who work with geospatial data.

See salaries and explore the career path for Data Scientist

Environmental Scientist

Environmental Scientists use science to study the environment and solve environmental problems. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Environmental Scientists who work with geospatial data.

See salaries and explore the career path for Environmental Scientist

Geographer

Geographers study the Earth's surface and its human and natural environment. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Geographers who work with geospatial data.

See salaries and explore the career path for Geographer

Cartographer

Cartographers create maps and other visualizations to communicate geospatial information. They may work with a variety of software and tools, including R software. This course provides a strong foundation in GIS and remote sensing using R, which are essential skills for a Cartographer.

See salaries and explore the career path for Cartographer

Urban Planner

Urban Planners plan and design cities and towns. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Urban Planners who work with geospatial data.

See salaries and explore the career path for Urban Planner

Natural Resource Manager

Natural Resource Managers manage natural resources, such as forests, water, and wildlife. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Natural Resource Managers who work with geospatial data.

See salaries and explore the career path for Natural Resource Manager

Disaster Risk Manager

Disaster Risk Managers develop and implement plans to reduce the risk of disasters, such as earthquakes, floods, and wildfires. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Disaster Risk Managers who work with geospatial data.

See salaries and explore the career path for Disaster Risk Manager

Climate Change Analyst

Climate Change Analysts study the causes and impacts of climate change. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Climate Change Analysts who work with geospatial data.

See salaries and explore the career path for Climate Change Analyst

Sustainability Analyst

Sustainability Analysts develop and implement plans to reduce the environmental impact of businesses and organizations. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Sustainability Analysts who work with geospatial data.

See salaries and explore the career path for Sustainability Analyst

Risk Analyst

Risk Analysts assess and manage risks for businesses and organizations. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Risk Analysts who work with geospatial data.

See salaries and explore the career path for Risk Analyst

Asset Manager

Asset Managers manage the physical and financial assets of businesses and organizations. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Asset Managers who work with geospatial data.

See salaries and explore the career path for Asset Manager

Insurance Underwriter

Insurance Underwriters assess and manage risks for insurance companies. They may work with a variety of data sources, including satellite imagery and other Earth observation data. This course provides a strong foundation in GIS and remote sensing using R, which can be helpful for Insurance Underwriters who work with geospatial data.

See salaries and explore the career path for Insurance Underwriter

Introduction to GIS and Remote Sensing with R

Traffic lights

Save this course

Reviews summary

Practical gis and remote sensing with r

Activities

Career center

Reading list

Share

Similar courses