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Digital Projects Showcase: Google Earth Engine
- 1. November 29, 2017 GoogleEarth Engine Wes Porter | H. Momm
- 2. What is GoogleEarth Engine? “A web browser platform for geospatial data processing and analysis.” 2
- 3. 3 Google Earth GoogleEngineVs.
- 4. Google Earth Data Visualization •Virtual Globe • 3D Cities • Street View Google Engine • Spectral Transformations • Cumulative Cost Mapping • Time lapses • Edge Detection Data Analysis 4
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- 6. Advantages • Track, measure,visualize changes over time • Extensive open data catalogue • Customizable 6
- 7. Your data liveshere. Not on your computer! 7https://www.google.com/about/datacenters/gallery/#/all/20
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- 10. Measuring Crop Growthfrom NDVI Temporal Image Stack 10
- 11. Crop Specific GrowthCurves 16
- 12. End Product 17 2015 CDL– S.A.M. Undetermined Corn Soybeans Wheat Study Fields 0 0.25 0.5 1 Mile N
- 13. • Future Research/ Next Steps - Generate crop data layers for years in which USDA data is unavailable • Why consider Google Earth Engine? - It’s free - It’s powerful - Mountain of Earth observation data to play with 19 Closing Thoughts
- 14. Questions? Gorelick, N., Hancher,M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment. Beis, Jeff. (2017). Earth Engine Demo: Trendy Lights. github.com/google/earthengine-api/demos/trendy-lights Satellite by Sergey Demushkin from the Noun Project Images from earthobservatory.nasa.gov Acknowledgements This project was partially supported by funding from the Space Grant Consortium and USDA – National Institute of Food and Agriculture (2017-70001-25989) with an appointment to a graduate research assistance ship through the College of Graduate Studies at Middle Tennessee State University. Special thanks to Dr. Henrique Momm for his mentorship and support. Wes Porter wsp2s@mtmail.mtsu.edu @Wes_Port
Editor's Notes
- #2 Google Earth Engine – A geospatial dark horse: -Little known yet powerful capabilities -The best part - It’s free! - western australia salt ponds
- #3 History: Passion project (20% time) of Rebecca Moore (Google Earth Director) Born out of desire to help poorer nations monitor deforestation Google worked w/ Geographic Information Science center at South Dakota State and Imazon Launched on Dec. 2, 2010 at the International Climate Change Center in Cancun Mexico 32 years of data 2,068,467 Landsat scenes 909 terabytes of data
- #4 - Google Engine is a separate geospatial analysis product
- #5 These are just a few of the available functions on GEE The strength of GEE is its FLEXIBILITY!
- #6 Notice the housing boom in West Murfreesboro? Appearance of 840 Construction of the Avenue, Medical Center
- #7 Tutorials available to learn how to use GEE Lots of examples and documentation Even remote sensing lab courses for those in Education
- #8 Mayes County, Oklahoma
- #9 - Custom application made with the Python API - Linear regression of brightness over time
- #11 NDVI = Normalized Difference Vegetation Index i.e. how healthy is the crop? NDVI = (NIR – RED) / (NIR +RED) Each image is a snapshot in time
- #12 We can use those snapshots to monitor the growth of specific crops over time Characteristic curves (phenology curves)
- #13 - Integrate GEE with other workflow tools such as ENVI and ArcMap
- #14 Refine workflow to better handle uncertainty Use CDL with watershed modeling tool AnnAGNPS or SWAT Steep learning curve however… True value lies in the ability to readily extract specific information from a mountain of disparate data sources.