Applied Remote Sensing and GIS

Franz Meyer

This course enables students to solve real-world problems using Geographical Information Systems (GIS) and remote sensing. Students will acquire skills in data management, vector, and raster analysis. They will work with elevation data and point coordinates in a GIS environment and learn how to assess data accuracy in GIS.

The course includes the following modules:

What's inside

Learning objectives

Participants in this course will develop the following skills:
Intuitive understanding of using elevation (and other raster data) in gis systems
Understanding of the main applications of elevation data
Introductory understanding of gnss data and their propoerties

Understanding of general data quality metrics
Insights into gnss error sources and how to mitigate these error sources
Applications of point-wise gnss data in gis

Participants in this course will develop the following skills:
Intuitive understanding of using elevation (and other raster data) in gis systems
Understanding of the main applications of elevation data
Introductory understanding of gnss data and their propoerties
Understanding of general data quality metrics
Insights into gnss error sources and how to mitigate these error sources
Applications of point-wise gnss data in gis

Syllabus

Weeks 1 & 2: Introduction to the Course and Working with Elevation Data

This part of the course will introduce you to the main content and structure of this course by discussing the use of elevation data in GIS:

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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 Applied Remote Sensing and GIS with these activities:

Review GIS Fundamentals

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Reinforce your understanding of fundamental GIS concepts to better grasp the advanced topics covered in the course.

Browse courses on Geographic Information Systems

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Review basic GIS principles and terminology.
Practice basic spatial analysis techniques.
Familiarize yourself with common GIS software interfaces.

Brush Up on Remote Sensing Principles

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Revisit the core concepts of remote sensing to prepare for the course's focus on applying these techniques in GIS.

Browse courses on Remote Sensing

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Review the electromagnetic spectrum and its interaction with different surfaces.
Study different types of remote sensing sensors and their applications.
Practice interpreting satellite and aerial imagery.

Read 'GIS for Science: Applying Mapping and Spatial Analysis'

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Supplement your understanding of GIS principles with a comprehensive book that covers a wide range of applications.

View Arc Marine on Amazon

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Read the introductory chapters on GIS fundamentals.
Explore case studies relevant to remote sensing and environmental analysis.
Take notes on key concepts and techniques.

Four other activities

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Practice ArcGIS Pro Tutorials

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Enhance your proficiency with ArcGIS Pro by working through practical tutorials that cover data management, analysis, and visualization.

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Download and install ArcGIS Pro (if you have access).
Complete tutorials on data import and georeferencing.
Practice spatial analysis techniques like buffering and overlay analysis.
Create maps and visualizations to present your findings.

Read 'Introduction to Remote Sensing, Sixth Edition'

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Deepen your understanding of remote sensing principles with a widely used textbook that covers a wide range of topics.

View Introduction to Remote Sensing, Fifth Edition on Amazon

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Read the chapters on electromagnetic radiation and sensor systems.
Explore the sections on image processing and analysis.
Review case studies relevant to your interests.

Create a GIS Data Visualization

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Solidify your understanding of GIS data and visualization techniques by creating a compelling visual representation of geospatial data.

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Select a relevant dataset (e.g., elevation data, land cover data).
Import the data into ArcGIS Pro.
Apply appropriate symbology and labeling.
Design a map layout that effectively communicates the data's story.
Write a short description of the data and your visualization choices.

Analyze GNSS Data Accuracy

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Apply your knowledge of GNSS data and error sources to assess the accuracy of GNSS data in a GIS environment.

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Acquire a GNSS dataset (either from your own collection or a public source).
Import the data into ArcGIS Pro.
Compare the GNSS data to a higher-accuracy reference dataset (if available).
Calculate error metrics (e.g., RMSE) to quantify the accuracy of the GNSS data.
Write a report summarizing your findings and discussing potential error sources.

Career center

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

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 Applied Remote Sensing and GIS.

Introduction to Remote Sensing, Fifth Edition

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Widely used textbook that provides a comprehensive introduction to the principles and techniques of remote sensing. It covers a wide range of topics, including electromagnetic radiation, sensor systems, image processing, and applications of remote sensing. It valuable resource for understanding the theoretical foundations of remote sensing and how it can be used to solve real-world problems. This book adds depth to the course by providing a more detailed explanation of remote sensing principles.

Introduction to Remote Sensing, Fifth Edition

Paperback

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Introduction to Remote Sensing, Fifth Edition

Kindle Edition

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Arc Marine

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Provides a comprehensive overview of GIS principles and their application in scientific research. It covers a wide range of topics, including data acquisition, spatial analysis, and visualization. It useful reference for understanding the theoretical foundations of GIS and how they can be applied to solve real-world problems. This book adds breadth to the course by providing a wider range of applications.