Field
Value
Language
dc.contributor.author
Shahvaran, Ali Reza
datacite.creator.affiliationIdentifier
-;https://ror.org/01aff2v68
en_US
datacite.creator.affiliation
Water Institute;University of Waterloo
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0001-7846-054X
en_US
dc.contributor.author
Kheyrollah Pour, Homa
datacite.creator.affiliationIdentifier
-;https://ror.org/00fn7gb05
en_US
datacite.creator.affiliation
Remote Sensing of Environmental Change (ReSEC) Research Group;Wilfrid Laurier University
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-2631-0416
en_US
dc.contributor.author
Binding, Caren
datacite.creator.affiliationIdentifier
-;https://ror.org/026ny0e17
en_US
datacite.creator.affiliation
Canada Centre for Inland Waters;Environment and Climate Change Canada
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0003-4932-6864
en_US
dc.contributor.author
Van Cappellen, Philippe
datacite.creator.affiliationIdentifier
-;https://ror.org/01aff2v68
en_US
datacite.creator.affiliation
Water Institute;University of Waterloo
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0001-5476-0820
en_US
dc.coverage.temporal
2013-01-01/2023-12-31
dc.date.accessioned
2024-02-06T20:17:37Z
dc.date.available
2025-01-26T06:00:00Z
dc.date.issued
2025-01-26
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/21f2835c-0ee9-45df-a7a2-3498df6cf8e1
dc.identifier.uri
https://doi.org/10.20383/103.0896
dc.description
The dataset presented here offers a collection of both matchup data and code for preprocessing, processing, and postprocessing satellite imagery, along with tools for data visualization. The primary objective of this research was to conduct a time-series analysis of Remote Sensing (RS)-derived chlorophyll-a (Chl-a) maps of Western Lake Ontario and Hamilton Harbour. This analysis spans a decade, from 2013 to 2023, utilizing imagery from the Landsat 8 and 9 satellites. The matchup data are presented in the "Matchup_Data.xlsx" file. Simultaneously, the "RS_Data.xlsx" file contains the description of the RS data used. The included codebase, housed in the "Code" directory, facilitates the entire spectrum of data handling—from preprocessing raw satellite data to generating insightful visual representations. Final Estimated Chl-a maps, in the format of PNG, as well as an animated time-series video of the maps are also available in the Data folder.
en_US
dc.publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
dc.rights
Creative Commons Attribution 4.0 International (CC BY 4.0)
en_US
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
en_US
dc.subject
Remote Sensing
en_US
dc.subject
Water Quality
en_US
dc.subject
Eutrophication
en_US
dc.subject
Algal Blooms
en_US
dc.subject
Chlorophyll-a
en_US
dc.subject
Landsat 8
en_US
dc.subject
Landsat 9
en_US
dc.subject
Atmospheric Correction
en_US
dc.subject
Time-Series
en_US
dc.subject
Lake Ontario
en_US
dc.subject
Hamilton Harbour
en_US
dc.title
Time-Series Analysis of RS-Derived Chl-a Concentrations from 2013 to 2023 in Western Lake Ontario Using Landsat 8-9 Imagery
en_US
globus.shared_endpoint.name
9347409e-b290-40c8-9b35-8bc3bae5d046
globus.shared_endpoint.path
/2/published/publication_891/
datacite.publicationYear
2025
datacite.contributor.DataManager
Bhaleka Persaud
datacite.contributor.ResearchGroup
Ecohydrology Research Group
datacite.contributor.Supervisor
Homa Kheyrollah Pour
datacite.contributor.Supervisor
Philippe Van Cappellen
datacite.date.Collected
2013-01-01/2023-12-31
datacite.resourceType
Dataset
en_US
datacite.geolocation.geolocationPlace
Western Lake Ontario and Hamilton Harbour;-;Ontario;Canada
datacite.fundingReference.funderIdentifier
en_US
datacite.fundingReference.funderName
Canada First Research Excellence Fund (CFREF)
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Global Water Futures (GWF) Program
en_US
frdr.crdc.code
RDF1050902
en_US
frdr.crdc.group_en
Earth and related environmental sciences
en_US
frdr.crdc.class_en
Geomatics and earth systems observations
en_US
frdr.crdc.field_en
Remote sensing applications (except remote sensing in geomatics and photogrammetry)
en_US
frdr.crdc.group_fr
Sciences de la Terre et sciences de l'environnement connexes
fr_CA
frdr.crdc.class_fr
Géomatique et observation des systèmes terrestres
fr_CA
frdr.crdc.field_fr
Applications de la télédétection (sauf la télédétection en géomatique et photogrammétrie)
fr_CA
datacite.description.other
Item exited embargo and became publicly available on 2025-01-26
Appears in Collections:
