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geeForEcologist

Place to hold tutorial content for the GEE for Ecologist training with the Geospatial Centroid on 20190926.

How to Use

Download or clone the repo Open the html docs with a web browser Read the content and copy and past the code to GEE editor to exicute on your own machine Learn a bit :)

Description of Lessons

Module 1: Introduction to Google Earth Engine Get acquainted with the user interface and visualize image differences before and after the High Park Fire.

Module 2: Exploring Datasets Briefly overview numerous spatial datasets and associated metadata using the MODIS Snow Cover dataset.

Module 3: Raster Manipulation and Interpretation Use visualization methods to interpret Landsat and NLCD data over Montreal and Washington state.

Module 4: Moving Data In and Out of Google Earth Engine Integrate daily weather data with GPS locations from a cougar to analyze how weather affects the cat's movement.

Module 5: Raster Pre-Processing Review dataset processing levels and perform cloudmasking over Quetico Provincial Park in southwest Ontario, Canada.

Module 6: Spectral Indices Use crop data to identify remote sensing indices that can highlight irrigated lands in arid regions.

Module 7: Image Classification Generate predictions of aspen presence and absence in western Colorado using the randomForest algorithm and Landsat data.

Module 8: Multi-temporal Analysis Conduct a time series analysis to determine the effect of the Deep Water Horizon oil spill on algal productivity in the Gulf of Mexico.

Module 9: Ocular Sampling Use remote sensing data to generate a set of potential sampling sites for a study on Elk herbivory.

Module 10: GUI Development Build a graphical user interface that lets users view changes in vegetation over time for three major river deltas across the world.

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Place to hold tutorial content for the GEE for Ecologist training with the Geospatial Centroid on 20190926.

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