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Integrating Citizen Science and Remote Sensing products in Google Earth Engine to support Hydrological Monitoring
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Type: | Resource | |
Storage: | The size of this resource is 6.8 MB | |
Created: | Jun 03, 2024 at 2:48 p.m. | |
Last updated: | Jun 05, 2024 at 3:27 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 311 |
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Abstract
This resource contain the training materials from a workshop held at the 2nd Annual Developers Conference at the University of Utah. It delves into the integration of ground-based observations with remote sensing datasets. The workshop facilitated hands-on experience in employing cloud-based technologies such as Google Earth Engine, Compute Engine, and Cloud Storage for data dissemination. Participants learned to create automated systems for data upload, processing, and dissemination, featuring the Stevens River Ice Monitoring System. This approach enhances collaboration and efficiency in environmental studies by streamlining data handling workflows.
Subject Keywords
Coverage
Spatial
Content
Readme.txt
Integrating Citizen Science and Remote Sensing products in Google Earth Engine to support Hydrological Monitoring Tutorials Included: - Tutorial 0: Introduction to Google Earth Engine Basics. - Tutorial 1: Analyzing Historical Flood Data. - Tutorial 2: Interactive Dual-View Flood Mapping Application. - Tutorial 3: Mountain Rain or Snow application. - Tutorial 4: Automated upload and visualizing of VIIRS RGB Data. Additional Resources: - Workshop presentation PDF outlining each tutorial, steps to create GEE web applications, and automation techniques for data uploads. Codes should be run in Google Earth Engine JavaScript code editor: https://code.earthengine.google.com/ To create a Google Earth Engine account please follow the steps highlighted in the "GEE_account.pdf" document
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Oceanic and Atmospheric Administration | Federal Award Number: NA22NWS4320003; Subaward Number: A22-0305-S003 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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