Malcolm Macleod
Baylor University
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ABSTRACT:
This repository is in support of the Water Color in Texan Reservoirs which quantified water color using dominant wavelength for 190 major reservoirs in Texas from 2015-2024. For this work, water color was calculated in reservoir arms and bodies using a standardized reservoir arm selection procedure (n =103 reservoirs), and an analysis of water color predictors at the reservoir centers (Chebyshev centers, n = 110 reservoirs) . Dominant wavelength was calculated using chromaticity analysis with surface reflectance data from 3 satellite sensors: Landsat 8/9 OLI and Sentinel-2 MSI. Predictors of reservoir water color include physical/morphometric data from Texas Water Development Board, water quality data from Texas Commission on Environmental Quality, and land cover data from National Land Cover Dataset. The primary goal of this data repository is for the replication of the analysis conducted, a secondary objective is to provide the necessary tools for someone to conduct similar research for other reservoirs. As such, the contents of this repository are categorized into 1) Data used in the analysis of dominant wavelength at reservoir centers and at paired arm-body sites; 2) Code used to calculate dominant wavelength and minimum surface extents in Google Earth Engine; 3) R scripts to run the interactive reservoir arm point selection tool.
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Created: May 18, 2026, 6:45 p.m.
Authors: Macleod, Malcolm
ABSTRACT:
This repository is in support of the Water Color in Texan Reservoirs which quantified water color using dominant wavelength for 190 major reservoirs in Texas from 2015-2024. For this work, water color was calculated in reservoir arms and bodies using a standardized reservoir arm selection procedure (n =103 reservoirs), and an analysis of water color predictors at the reservoir centers (Chebyshev centers, n = 110 reservoirs) . Dominant wavelength was calculated using chromaticity analysis with surface reflectance data from 3 satellite sensors: Landsat 8/9 OLI and Sentinel-2 MSI. Predictors of reservoir water color include physical/morphometric data from Texas Water Development Board, water quality data from Texas Commission on Environmental Quality, and land cover data from National Land Cover Dataset. The primary goal of this data repository is for the replication of the analysis conducted, a secondary objective is to provide the necessary tools for someone to conduct similar research for other reservoirs. As such, the contents of this repository are categorized into 1) Data used in the analysis of dominant wavelength at reservoir centers and at paired arm-body sites; 2) Code used to calculate dominant wavelength and minimum surface extents in Google Earth Engine; 3) R scripts to run the interactive reservoir arm point selection tool.