Classes in bold denote classes dedicated to intensive coding skill-building
Class | Week | Topic | In Class | Readings | Due |
---|---|---|---|---|---|
1 | 1 | What is Remote Sensing? What are Natural Hazards? | |||
2 | 2 | History of remote sensing, critical remote sensing, natural hazards basics | The politics of pixels: A review and agenda for critical remote sensing, There’s No Such Thing as a Natural Disaster | Make a Google Earth Engine Account | |
3 | 2 | Working with Academic Articles, Google Earth Engine Data Catalog | UNC Libraries: What is a Peer Reviewed Article | ||
4 | 3 | Introduction to JavaScript and GEE API | Ex 1: Introduction to Javascript, Ex 2: Introduction to GEE API | Watch Introduction to Google Earth Engine Lecture | Ex. 1-2 |
5 | 3 | Electromagnetic Spectrum | Watch Introduction to the Electromagnetic Spectrum Lecture (until 14:31), Chapter 1 in Introduction to Remote Sensing | ||
6 | 4 | Working with Images, Working with Image Collections | Ex 3: Working with Images, Ex 4: Working with Image Collections | End-to-End Google Earth Engine 1.02-1.05 | Ex. 3-4 |
7 | 4 | Satellites, Sensors, resolution | Watch From Pixels to Products (25:18-35:56), Satellites, Sensors, and Properties | ||
8 | 5 | Visualizing Single Bands, Visualizing Multiple Bands | Ex 5: Visualizing Single Bands, Ex 6: Visualizing Multiple Bands | Raster Interpretation and Visualization | Ex. 5-6 |
9 | 5 | Color Theory, Composites | Interpreting Remote Sensing Imagery | ||
10 | 6 | Mosiacs and Composites, Feature Collections | Ex 7: Mosaics and Composites, Ex 8: Feature Collections, Clipping, Exporting Data | Ex. 7-8 | |
11 | 6 | Image Transformation, Common Remote Sensing Tasks | What are the Top Applications of Remote Sensing? | ||
12 | 7 | Mapping Over an Image Collection | Ex 9: Mapping Over an Image Collection | Project Task 1 , Ex. 9 | |
14 | 7 | Sensing the Climate- Important Datasets | Ex 10: Reducers | An evaluation of ERA5 precipitation for climate modeling | Ex. 10 |
15 | 8 | Lab 1- Climate Variables | |||
16 | 8 | Sensing Natural Hazards- Indices | Ex 11: Band Math | What is the color when black is burned? Quantifying (re)burn severity using field and satellite remote sensing indices | Lab 1 , Ex. 11 |
17 | 9 | Lab 2- Calculating Indices (Wildfires) | |||
18 | 9 | Sensing Natural Hazards- Time Series Analysis | Ex 12: Time Series | Intense windstorms in the northeastern United States | Lab 2, Ex. 12 |
19 | 10 | Lab 3- Time Series (Hurricanes) | Project Task 2 | ||
20 | 10 | Sensing Natural Hazards- Presenting Results | CAPA Heatwatch Report | Lab 3 | |
21 | 11 | Lab 4- Aggregating Data (Urban Heat) | |||
22 | 11 | Sensing Natural Hazards- Change Detection | Ex 13: Change Detection | Flood Detection in Urban Areas Using Satellite Imagery and Machine Learning | Lab 4, Ex. 13 |
23 | 12 | Lab 5- Change Detection (Flooding) | |||
24 | 12 | Sensing Natural Hazards- Presenting Results | Ex 14: GUI Development | Lab 5, Ex. 14 | |
25 | 13 | Lab 6- GUI Development (Previous Analysis) | Project Task 3 | ||
26 | 13 | Developing a GUI for your Final Project | Lab 6 | ||
27 | 14 | GUI Workday | |||
28 | 14 | Catch up |