Utilizing the Modified Normalized Difference Water Index (MNDWI) to Identify Drivers of Water Level Fluctuations in Twin Lake, Michigan.
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Keywords: Remote Sensing, Water Resource Management, GIS.
Abstract Type: Paper Abstract
Authors:
Eric Carballido, Western Michigan University
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Abstract
Accurate analysis of the causes and magnitude of lake level fluctuations is critical for water resources management. However, it remains a challenge to estimate lake level fluctuations in ungauged small lakes. This project aims to fill that research gap by using remote sensing technology to make surface water estimations in a small ungauged lake in Twin Lake, Michigan. A climate analysis of the past 30 years (1992-2021) was conducted to identify the patterns and trends of temperature, evaporation, and precipitation. A multivariate regression analysis was then undertaken to understand the relationship between climate and water levels in Twin Lake, Michigan.
Utilizing the Modified Normalized Difference Water Index (MNDWI) to Identify Drivers of Water Level Fluctuations in Twin Lake, Michigan.
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Paper Abstract
