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Created: | Jan 31, 2017 at 10:09 p.m. | |
Last updated: | Aug 16, 2018 at 7:13 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Discoverable |
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Abstract
Characteristics of spatial and temporal variability in surface water quality can have important implications for remote sensing model development and applications. Temporal variability is important for defining appropriate use of near-coincident matches between satellite overpasses and field samples, identifying critical periods for monitoring, and understanding algae bloom dynamics. Spatial variability is important for selecting satellite instruments with appropriate spatial resolutions.
This resource contains various water quality parameters for the Great Salt Lake. Chlorophyll-a data were collected by students at the University of Utah (U of Utah) using a Hydrolab DS5 (OTT Hydromet) multi-parameter sonde equipped with a submersible fluorescence Chlorophyll-a sensor (range of 0.03–500 ug/L). The Gilbert Bay sites (prefixed with GB) were located approximately 1000 m apart, which is the same scale as the coarsest MODIS spatial resolution. At each of these sites, data were also collected at offsets to the site center to represent sub-Landsat and sub-SENTINEL-2 resolution. These offset samples were spaced at approximately 7.5 m increments (i.e., 7.5, 15, 22.5 and 30 m) from the original sites GB2, GB3 and GB4. The offsets were identified with suffixes a, b, c and d, so that the first offset (7.5 m) from GB2 was identified as GB2a, the second offset (15 m) from GB2 was GB2b, etc.) Data collection at the GSL1 site also included sampling at offsets at the same increments (7.5, 15,22.5 and 30 m) east of the original site.
The GB sites also include measurements over various depths in order to evaluate relationships between surface (0-1m) water quality and water quality throughout the water column.
Subject Keywords
Coverage
Spatial
Temporal
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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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