Hyperspectral data collected from airborne platforms and Unmanned Aerial Vehicle (UAV) with accompanying water quality measurements--Lake Erie, Conestogo Lake, and Buffalo Pound Lake
Related Information
Overview
Research Site
Status and Provenance
Access and Downloads
Section 1: Overview
Name of Research Project
Related Project
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Part
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GWF-FORMBLOOM: Forecasting Tools and Mitigation Options for Diverse Bloom-Affected Lakes
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Program Affiliations
Related Research Project(s)
GWF-FORMBLOOM: Forecasting Tools and Mitigation Options for Diverse Bloom-Affected Lakes | |
Dataset Title
Hyperspectral data collected from airborne platforms and Unmanned Aerial Vehicle (UAV) with accompanying water quality measurements – Lake Erie, Conestogo Lake, and Buffalo Pound Lake
Additional Information
Creators and Contributors
Claude Duguay | PI | crduguay@uwaterloo.ca | University of Waterloo |
Amir Maoud Chegoonian | Originator | amchegoonian@uwaterloo.ca | University of Waterloo |
Kiana Zolfaghari | Point of Contact | kiana.zolfaghari@uwaterloo.ca | University of Waterloo |
Helen Baulch | Collaborator | helen.baulch@usask.ca | University of Saskatchewan |
Caren Binding | Collaborator | caren.binding@canada.ca | ECCC |
Kevin Kang | Collaborator | | University of Waterloo |
Jason Venkiteswaran | Collaborator | jvenkiteswaran@wlu.ca | Wilfrid Laurier University |
Abstract
This dataset includes hyperspectral imagery collected over Lake Erie, Conestogo Lake, and Buffalo Pound Lake. The imagery of Lake Erie and Conestogo Lake was collected with airborne hyperspectral systems from the National Oceanic and Atmospheric Administration (NOAA) or Environment and Climate Change Canada (ECCC). Images were also collected with an Unmanned Aerial Vehicle (UAV) (DJI Matrice600 Pro with Headwall Nano-hyperspec sensor). The imagery collected over Buffalo Pound Lake was with a UAV (DJI Matrice600 Pro with Corning microSHARK HSI sensor). UAV data was processed with proprietary software provided the hyperspectral instrument retailer. At or near the time of the acquisition, a field team in a boat measured biogeochemical variables in the water body for comparison with remote sensing data. These included water quality parameters, such as chlorophyll-a, suspended matters, dissolved organic carbon concentrations, and water turbidity.
Purpose
A common goal of both the FORecasting tools and Mitigation options for diverse BLOOM-affected lakes (FORMBLOOM) and Transformative sensor Technologies and Smart Watersheds (TTSW) projects is to improve the detection and understanding of harmful algae blooms (HABs) through the use of hyperspectral remote sensing techniques. Certain wavelengths of the electromagnetic spectrum have been shown to be sensitive to water quality parameters related to HABs such as Chlorophyll-a. The hyperspectral images in this dataset were collected in order to expand the research of water quality monitoring and detecting algae blooms. Several biogeochemical variables were also measured in the water body at/ near the time of acquisition. This data was collected from Lake Erie near Leamington (ON), Conestogo Lake (ON), and Buffalo Pound Lake (SK). FORMBLOOM and TTSW projects are Pillar 3 project under the Global Water Futures Program funded by Canada First Research Excellence Fund.
Plain Language Summary
Keywords
Lake Erie, Ontario |
Conestogo Lake, Ontario |
Buffalo Pound Lake, Saskatchewan |
Algal bloom |
Biogeochemistry |
Chlorophyll |
Cyanobacteria |
Forecast |
Great Lakes |
Lake Erie |
Lakes |
Nutrients |
Ontario |
Remote sensing data |
Saskatchewan |
Satellite imagery |
Unmanned Aerial Vehicle (UAV) |
Water quality |
Citations
Duguay, C., Chegoonian, A., Baulch, H., Binding, C., Kang, K., Venkiteswaran, J., and Zolfaghari, K. (2019). Hyperspectral data collected from airborne platforms and Unmanned Aerial Vehicle (UAV) with accompanying water quality measurements – Lake Erie, Conestogo Lake, and Buffalo Pound Lake. Waterloo, Canada: Canadian Cryospheric Information Network (CCIN). Unpublished
Section 2: Research Site
Temporal Extent
Begin Date
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End Date
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2018-06-01
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Undefined
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Geographic Bounding Box
West Boundary Longitude
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-105.799291
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East Boundary Longitude
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-78.679184
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North Boundary Latitude
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50.787292
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South Boundary Latitude
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41.421503
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Is Boundary Rectangular
Research Site Images
Research Site Description (if needed)
Basin
Subbasin
Specific Locations (if needed)
Conestogo Lake | 43.69611 | -80.73139 |
Buffalo Pound Lake | 50.650 | -105.50 |
Research Site Location
Map Not Available
Display
View on Global Map
Section 3: Status and Provenance
Dataset Version
Dataset Creation Date
Status of data collection/production
Dataset Completion or Abandonment Date
Data Update Frequency
Creation Software
Primary Source of Data
Other Source of Data (if applicable)
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
Section 4: Access and Downloads
Access to the Dataset
Terms of Use
Does the data have access restrictions?
Downloading and Characteristics of the Dataset
Download Links and Instructions
unavailable
Unpublished data
Total Size of all Dataset Files (GB)
File formats and online databases
Other Data Formats (if applicable)
List of Parameters and Variables