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Sub-monthly time scale prediction of harmful algal bloom cell count in Lake Erie using remote sensing and machine learning
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Type: | Resource | |
Storage: | The size of this resource is 8.3 GB | |
Created: | Mar 27, 2023 at 4:33 p.m. | |
Last updated: | Mar 27, 2023 at 7:37 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 453 |
Downloads: | 23 |
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Abstract
This resource contains raw data and results for the manuscript "Sub-monthly time scale prediction of harmful algal bloom cell count in Lake Erie using Remote Sensing and Machine Learning" by Abhinav Gupta, Mohamed M. Hantush, and Rao S. Govindaraju.
Subject Keywords
Coverage
Spatial
Content
readme.txt
Directory name is self explanatory in terms of type of data contained in them. MERIS data for the year 2005 were more than 1 GB; therefore, only raw data are provided here. Please contact the authors to access full data for this year. 'HTLP_updated' contains water quality data up to the year 2020.
Related Resources
This resource updates and replaces a previous version | Gupta, A., M. M. Hantush, R. S. Govindaraju (2023). Sub-monthly time scale prediction of harmful algal bloom cell count in Lake Erie using remote sensing and machine learning, HydroShare, http://www.hydroshare.org/resource/74cd4448a2234a47b11078b098325200 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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Environmental Protection AGency | EP-C-15-010 |
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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