Integrating Citizen Science and Remote Sensing products in Google Earth Engine to support Hydrological Monitoring
Authors: | |
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Owners: | Mohamed Abdelkader |
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: | 563 |
Downloads: | 27 |
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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
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
71.9143°
East Longitude
-49.5703°
South Latitude
23.0898°
West Longitude
-168.3984°












Leaflet Map data © OpenStreetMap contributors
Content
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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
Abdelkader, M., M. Temimi (2024). Integrating Citizen Science and Remote Sensing products in Google Earth Engine to support Hydrological Monitoring, HydroShare, http://www.hydroshare.org/resource/7742ae482f474872af9414d05a4a8179
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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