Article
Environmental Sciences
Lea Enguehard, Nicola Falco, Myriam Schmutz, Michelle E. Newcomer, Joshua Ladau, James B. Brown, Laura Bourgeau-Chavez, Haruko M. Wainwright
Summary: Coastal wetlands in the Great Lakes Region, specifically along Lake Erie, were studied using a machine learning clustering approach to identify spatial regions with co-varied properties. The study found that topography, soil texture, and plant productivity influence the distribution of wetland land covers. Clustering analysis also revealed regions with distinct environmental characteristics and sensitivity to lake-level variations.
Article
Environmental Sciences
Parthasarathy Kulithalai Shiyam Sundar, Subrahmanya Kundapura
Summary: Water quality is essential for environmental monitoring, and Vembanad Lake in India has been affected by anthropogenic factors. This study evaluates the water quality using optical parameters and satellite data, and shows that the lockdowns and floods have had an impact on water quality, with industrial activities and tourism reduction playing a more significant role in improving the water quality. The decrease in Chl-a values can be attributed to the reduction in the lake's hydrological residence time.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Marine & Freshwater Biology
Nicole. R. R. King, Jenny. L. L. Hanson, Travis. J. J. Harrison, Patrick. M. M. Kocovsky, Christine. M. M. Mayer
Summary: This study compared three common methods of sampling submersed aquatic vegetation (SAV) in western Lake Erie. Results showed that the two field-based methods had the highest correspondence, while the correspondence between OBIA and hydroacoustics was the lowest. Determining the optimal method or combination of methods will depend on research goals, effort, and cost, but each method can provide reliable SAV information for resource management.
Article
Environmental Sciences
Glenn S. Carter, Kurt P. Kowalski, Michael R. Eggleston
Summary: Nearly all wetlands in the coastal zone of Lake Erie have been degraded or destroyed since the 1860s, with most remaining wetlands being separated from their watersheds. Reconnecting wetland pools can reduce phosphorus loading to Lake Erie and alter the timing of its release.
Article
Chemistry, Analytical
Sergey M. Pershin, Boris G. Katsnelson, Mikhail Ya Grishin, Vasily N. Lednev, Vladimir A. Zavozin, Ilia Ostrovsky
Summary: In recent decades, harmful algal blooms in freshwater reservoirs have become a steady phenomenon, highlighting the importance of real-time water quality monitoring. Laser remote sensing, as an alternative to satellite techniques, offers the potential for depth-resolved studies of fresh or seawater, allowing for more detailed analysis of algal concentrations.
Article
Environmental Sciences
Lien Rodriguez-Lopez, David Bustos Usta, Iongel Duran-Llacer, Lisandra Bravo Alvarez, Santiago Yepez, Luc Bourrel, Frederic Frappart, Roberto Urrutia
Summary: In this study, machine learning and remote sensing techniques were combined to estimate chlorophyll-a concentration in a freshwater ecosystem in Southern Chile. The study found that the SARIMAX, LSTM, and RNN models effectively predicted the presence of algae in water bodies, with the LSTM model performing the best.
Article
Chemistry, Multidisciplinary
Qi Wang, Song Wang
Summary: In this study, GLM-AED and ANN models were developed to predict water quality in western Lake Erie from 2002 to 2015. The results showed that the ANN model had higher accuracy than GLM-AED during the period of 2011 to 2015. The predicted future 10-year water quality of WLE indicated a moderate probability of adverse health effects, suggesting the need for more intense water resources management.
APPLIED SCIENCES-BASEL
(2021)
Article
Marine & Freshwater Biology
Alexander Y. Karatayev, Lyubov E. Burlakova, Knut Mehler, Elizabeth K. Hinchey, Molly Wick, Martyna Bakowska, Natalia Mrozinska
Summary: A novel method was developed and tested on Lake Erie to assess Dreissenid distribution and density in large waterbodies in near real-time using video analysis. The rapid assessment method proved to be accurate and cost-effective in monitoring Dreissenid populations across large areas.
Article
Environmental Sciences
Shuai Zhang, Tamlin M. Pavelsky, Christopher D. Arp, Xiao Yang
Summary: A remote sensing-derived lake ice phenology database covering all lakes in Alaska from 2000 to 2019 was constructed to analyze the trends of earlier breakup and later freezeup of lake ice in the region. The dataset showed significant trends towards earlier or later ice breakup and freezeup for various lakes, with most significant trends observed in lakes north of the Brooks Range. This dataset contributes to the understanding of interactions between lake processes and climate change, supporting research on biogeochemical, limnological, and ecological regimes in Alaska and pan-Arctic regions.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Huizeng Liu, Xianqiang He, Qingquan Li, Susanne Kratzer, Junjie Wang, Tiezhu Shi, Zhongwen Hu, Chao Yang, Shuibo Hu, Qiming Zhou, Guofeng Wu
Summary: The study proposes a hybrid approach for estimating UV Rrs from visible bands and evaluates its performance using in situ and satellite data, showing high accuracy in both clear open ocean and optically complex waters. The model-estimated UV Rrs may improve the accuracy of absorption coefficients in semi-analytical IOPs algorithm, indicating great potential for reconstructing UV Rrs data and enhancing IOPs retrieval for historical satellite sensors.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Isabel Caballero, Mar Roca, Juan Santos-Echeandia, Patricia Bernardez, Gabriel Navarro
Summary: This study examines the evolution of water quality descriptors in Mar Menor, the largest coastal lagoon in the Western Mediterranean Sea, during the ecological crisis in 2021. The use of Landsat-8 and Sentinel-2 satellites provides precise results of water quality variables, allowing for the identification of critical areas and early warning systems. The methodology proves to be suitable for capturing the spatiotemporal distribution of water quality variables in a cost-effective way.
Article
Environmental Sciences
Zhigang Cao, Chuanmin Hu, Ronghua Ma, Hongtao Duan, Miao Liu, Steven Loiselle, Kaishan Song, Ming Shen, Dong Liu, Kun Xue
Summary: This study developed a machine learning model to generate SPM time series in 269 lakes across China from 2002 to 2021. The study found that SPM concentrations showed a significant decrease in the 21st century, with different changing patterns in different climate zones and ecoregions.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Engineering, Environmental
Mengyi Gong, Claire Miller, Marian Scott, Ruth O'Donnell, Stefan Simis, Steve Groom, Andrew Tyler, Peter Hunter, Evangelos Spyrakos
Summary: This study introduces a new approach for analyzing satellite remote sensing data to identify spatiotemporal patterns, reduce data dimensionality, and generate interpolations for sparse areas. The research also investigates the uncertainty of parameter estimation. Through the analysis of chlorophyll-a data from Taruo Lake, the application of this method is demonstrated.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Editorial Material
Environmental Sciences
William C. Daniels
Summary: Paleoclimatologists use lake sediments to reconstruct past changes in precipitation and evaporation. Recent research in Arctic lakes shows that aquatic plants contribute significantly to the wax signals, providing a method for identifying the sources of plant waxes in these lakes.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Article
Chemistry, Multidisciplinary
Andrzej Bielski, Cezary Tos
Summary: This study examines the remote determination of chlorophyll a content and turbidity in the shallow dam reservoir of Lake Dobczyce using satellite images. The analysis of thirteen wavelength ranges led to the selection of significant reflectance for calculating the values of these parameters. The models developed in this study helped in creating maps of turbidity and chlorophyll a content in the lake.
APPLIED SCIENCES-BASEL
(2022)