Unraveling the dynamics of Colored Dissolved Organic Matter (CDOM) and Optical Water Types (OWT) using cutting-edge satellite data and advanced machine learning techniques.
Study Overview
Discover the dynamic interplay between Optical Water Types and Colored Dissolved Organic Matter in Lake Võrtsjärv. Leveraging cutting-edge Sentinel-2 imagery, real-time meteorological data, and advanced machine learning, this study reveals how natural forces and human impacts have shaped water quality from 2016 to 2023.
Abstract
Lakes are more than just bodies of water—they are dynamic ecosystems teeming with life. Our analysis of Lake Võrtsjärv unravels the secrets of water “brownification” by tracking CDOM levels, combining satellite intelligence with ground-level meteorological insights. This integrated approach drives smarter water management and sustainability.
Study Area: Lake Võrtsjärv
Serving as a natural laboratory from 2016 to 2023, Lake Võrtsjärv is at the heart of our investigation. Detailed meteorological data from local weather stations enrich our analysis, offering a crystal-clear view of seasonal variations and environmental impacts on water quality.
Methodology
Our innovative approach features a K-Means clustering algorithm refined with the AutoGluon framework and a Weighted Ensemble (L3) classifier. This sophisticated method not only enhances prediction accuracy but also transforms raw data into actionable insights for water quality management.
Seasonal CDOM Trends (2016-2023)
Experience the evolving story of Lake Võrtsjärv through monthly CDOM averages. Click any image below to view a larger interactive preview, and navigate through the timeline to explore how seasonal and annual changes affect water quality.
Decoding CDOM Composition (2016-2023)
Uncover the subtle shifts in CDOM makeup over time. Our analysis showcases the relative proportions of various CDOM classes in Lake Võrtsjärv, offering a deeper understanding of its enduring yet dynamic ecosystem.
Deciphering Key Relationships
Dive into our detailed correlation matrices that reveal the intricate relationships between temperature, precipitation, solar energy, wind speed, and CDOM levels. These insights pinpoint the environmental drivers shaping water quality.
Key Insights & Impact
Our comprehensive analysis demonstrates that while long-term CDOM trends remain relatively stable, seasonal variations driven by environmental factors are significant. These insights not only deepen our understanding of Lake Võrtsjärv’s water quality dynamics but also pave the way for more informed and sustainable water management practices.