project image
You're currently viewing an old version of this dataset. To see the current version, click here.

Through 2016-2017, we conducted open water season sampling for chemical, biological, and physical parameters on the upper MBGL. From 2017 to 2019 we collected in-situ measurements of spectral reflectance paired with water quality parameters to test possible Sentinel 3 OLCI reflectance algorithms for determination of chlorophyll-a, suspended sediment and coloured dissolved organic matter. Our goal is to develop local validation for satellite methods to be used in conjunction with in situ data to support management of these lakes as a single, complex hydrological system.

Keywords

Metadata

Field Value
Title Comparison of satellite algorithms for water quality in the upper Manitoba Great Lakes
Research Program Name Manitoba Great Lakes Project
Keyword Vocabulary Polar Data Catalogue
Keyword Vocabulary URL https://www.polardata.ca/pdcinput/public/keywordlibrary
Website https://lwbin.cc.umanitoba.ca/manitoba-great-lakes-program/
Theme Freshwater
Status In Progress
Project DOI
Metadata Creation Date 2021
Publisher CanWIN
Related Facilities
Field Value
Project extent
Project Area Manitoba Great Lakes
Spatial regions Manitoba Great Lakes
Spatial extent West Bound Longitude
Spatial extent East Bound Longitude
Spatial extent South Bound Latitude
Spatial extent North Bound Latitude
Temporal extent
Project Start Date 2016-05-01
Project End Date
Field Value
Project Contributors
Principal Investigators
Principal Investigators 1
Principal Investigator Name
Herbert, Claire
Type of Name
Personal
Principal Investigator Email
claire.herbert@umanitoba.ca
Principal Investigator Affiliation
Centre for Earth Observation Science - University of Manitoba
Principal Investigator ORCID ID
0000-0003-2724-4200
Co-Investigators
Co-Investigators 1
Co-Investigator Name
Barber, David
Co-Investigator Role
Supervisor
Co-Investigator Email
david.barber@umanitoba.ca
Co-Investigator Affiliation
Centre for Earth Observation Science - University of Manitoba
Co-Investigator ORCID ID
0000-0001-9466-3291
Co-Investigators 2
Co-Investigator Name
McCullough, Greg
Co-Investigator Role
Supervisor
Co-Investigator Email
greg.mccullough@umanitoba.ca
Co-Investigator Affiliation
Centre for Earth Observation Science - University of Manitoba
Co-Investigator ORCID ID
Project Data Curator Herbert, Claire
Project Data Curator email claire.herbert@umanitoba.ca
Project Data Curator Affiliation Centre for Earth Observation Science - University of Manitoba
Funder Information
Awards
Field Value
License Name Creative Commons Attribution 4.0 International
Licence Schema Name SPDX
Licence URL https://spdx.org/licenses
Terms of Access

CanWIN datasets are licensed individually, details for each licence used can be found using the Licence URL link provided with each dataset.
By accessing this Web site and Database, you are agreeing to be bound by CanWIN's Terms of Use, all applicable laws and regulations, and agree that you are responsible for compliance with any applicable local laws. If you do not agree with any of these terms, do not use this site. Any claim relating to this web site shall be governed by the laws of the Province of Manitoba without regard to its conflict of law provisions

Terms of Use

This project is governed by CanWIN’s Terms of Use. You can view the [full terms here] (https://lwbin.cc.umanitoba.ca/wp-content/uploads/2019/10/CanWIN_DataPolicy_Nov2019.pdf). Citation: The Data User should properly cite the Data Set in any publications or in the metadata of any derived data products that were produced using the Data Set. Acknowledgement: The Data User should acknowledge any institutional support or specific funding awards referenced in the metadata accompanying this dataset in any publications where the Data Set contributed significantly to its content. Acknowledgements should identify the supporting party, the party that received the support, and any identifying information such as grant numbers. Notification: The Data User should notify the Data Set Contact when any derivative work or publication based on or derived from the Data Set is distributed. Notification will include an explanation of how the Data Set was used to produce the derived work. Collaboration: The Data Set has been released in the spirit of open scientific collaboration. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator.