A Six-Year, Spatiotemporally Comprehensive Dataset and Data Retrieval Tool for Analyzing Chlorophyll-a, Turbidity, and Temperature in Utah Lake Using Sentinel and MODIS Imagery

Data from earth observation satellites provide unique and valuable information about water quality conditions in freshwater lakes but require significant processing before they can be used, even with the use of tools like Google Earth Engine. We use imagery from Sentinel 2 and MODIS and in situ data...

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Bibliographic Details
Published in:Data
Main Authors: Kaylee B. Tanner, Anna C. Cardall, Gustavious P. Williams
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Subjects:
Utah Lake
water quality
remote sensing
chlorophyll-a
turbidity
MODIS
Online Access:https://www.mdpi.com/2306-5729/10/8/128

Internet

https://www.mdpi.com/2306-5729/10/8/128

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