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Combining artificial and human intelligence to improve mountain flood prediction: Code

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Created: Jan 09, 2018 at 8:46 p.m.
Last updated: May 14, 2018 at 12:04 a.m.
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Testing ogh and pyDHSVM for the Sauk Watershed.

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Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
University of Washington eScience Institute Winter Incubator 2018
National Science Foundation PREEVENTS TRACK 2: Integrated Modeling of Hydro-Geomorphic Hazards: Floods, Landslides and Sediment 1663859
Sauk Suiattle Indian Tribe
Bureau of Indian Affairs


People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Amanda Lehr University of Washington

How to Cite

Shivraj, P., C. Bandaragoda (2018). Combining artificial and human intelligence to improve mountain flood prediction: Code, HydroShare, http://www.hydroshare.org/resource/7c3416535ab24d4f93b0b94741bb9572

This resource is shared under the Creative Commons Attribution CC BY.



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