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Sub-monthly time scale prediction of harmful algal bloom cell count in Lake Erie using remote sensing and machine learning

A newer version of this resource http://www.hydroshare.org/resource/4d966216b07e483c96850911366214c1 is available that replaces this version.

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Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type:	Resource
Storage:	The size of this resource is 8.3 GB
Created:	Mar 22, 2023 at 10:48 p.m.
Last updated:	Mar 23, 2023 at 8:18 p.m. (Metadata update)
Published date:	Mar 23, 2023 at 8:18 p.m.
DOI:	10.4211/hs.74cd4448a2234a47b11078b098325200
Citation:	See how to cite this resource

Sharing Status:	Published
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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

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

42.2033°

East Longitude

-80.8127°

South Latitude

41.3183°

West Longitude

-84.0976°

Content

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readme.txt

Directory name is self explanatory in term type of 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This resource has been replaced by a newer version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/4d966216b07e483c96850911366214c1

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
Environmental Protection AGency		EP-C-15-010

How to Cite

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, https://doi.org/10.4211/hs.74cd4448a2234a47b11078b098325200

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

http://creativecommons.org/licenses/by/4.0/

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