This topic first introduces the idea of the human footprint, what it is, and how we can measure it using remote sensing. Measuring the human footprint is essential for understanding anthropogenic impacts on the environment but it is very difficult.
This topic then introduces what big data is as well as the challenges and limitations big data poses. Geomatics data is often big data, so throughout this topic consider how this applies to data you have worked on in the past or might work on in the future.
Assignment/Lab 7 is due this week. Be sure to send in the assignment in Assignment 7 dropbox by 11:59pm on Friday this week.
Assignment/Lab 8:Final Project
Start doing Assignment/Lab 8 for this week. For detailed instructions and grading criteria, please see detailed descriptions under Modules > Graded Assignments > Assignment 8.
Topic Summary
As we look to future, consider what you think the best strategies are for measuring the human footprint?
The best way to end this topic is with a question. So, what do you think is next for the field of geomatics?
Topic Self-review (For self learning)
Please use the reflection questions below as study guide to conduct self-review for the topic.
Self Review 5.1.1 – Human Footprint
What is the human footprint and how do we measure it?
What are some ways remote sensing measures the human footprint?
What are some limitations of measuring the human footprint with remote sensing?
Self-check Quiz 5.1.2 – Big Data
When/why does data become big? Explain.
If you could design a new satellite, what features would you want it to have?
Evaluate and explain some of the issues surrounding the democratization of space.