Monitoring changes in the coastline of the Shatsky Lakes based on space images
Students Name: Pushchak Semen Ivanovych
Qualification Level: magister
Speciality: Photogrammetry and Remote Sensing
Institute: Institute of Geodesy
Mode of Study: full
Academic Year: 2023-2024 н.р.
Language of Defence: ukrainian
Abstract: Shatsky Lakes are unique water bodies that hold significant importance for the ecological balance of the region. Changes in the shoreline can impact natural environments, aquatic ecosystems, and local biodiversity. Shoreline changes encompass erosion and deposition processes, which can lead to the loss of coastal areas designated for recreation, fishing, and tourism. Shoreline erosion can also pose a threat to infrastructure along the coast. Shatsky Lakes are utilized for water supply, agricultural irrigation, and other economic needs. Monitoring changes in the shoreline helps identify potential threats to water resources and enables timely preservation measures. Lakes can also be used for hydroelectric purposes. Alterations in the shoreline can affect the power and efficiency of hydroelectric power stations. Shoreline changes can also be induced by climate variations, such as sea level rise, changes in rainfall patterns, and more. Monitoring these changes aids in studying and adapting regional infrastructure and ecosystems to climate changes. Understanding shoreline changes is crucial for rational spatial planning, construction, infrastructure development, as well as considering safety and sustainability of the living environment in the region. Early detection of shoreline changes can help respond promptly to potential crises, such as floods, inundations, and coast erosions, ensuring the safety of the region’s residents. The object of the study is the processing of multi-temporal satellite images obtained from the Sentinel-2 satellite and from free resources. The subject of the study is the methodology of monitoring the shoreline of Shatsky Lakes using multi-temporal satellite images of medium and very high spatial resolution. The aim of the work is to study and analyze the dynamics of shoreline changes of Shatsky Lakes using multi-temporal satellite images of medium and very high spatial resolution. A technological scheme for monitoring changes in the shoreline of Shatsky Lakes using satellite imagery is proposed, comprising 7 stages from the analysis of input materials to the analysis of the obtained data. A methodology for monitoring changes in the shoreline of Shatsky Lakes using satellite imagery is proposed and described. During the implementation of the methodology, the boundaries of the shorelines of Shatsky Lakes were vectorized using two very high spatial resolution images obtained from the GeoEye-1 satellite in 2018 and 2022. Classification of two images obtained from the Sentinel-2 satellite was performed. The result of the work is vector layers of shoreline changes of Shatsky Lakes obtained by manual and semi-automatic methods. Keywords – satellite imagery, shoreline, Sentinel-2, GeoEye-1, Shatsky Lakes. List of References: 1. Smith, Kathryn E. L., Joseph F. Terrano, Jonathan L. Pitchford, and Michael J. Archer. 2021. "Coastal Wetland Shoreline Change Monitoring: A Comparison of Shorelines from High-Resolution WorldView Satellite Imagery, Aerial Imagery, and Field Surveys" Remote Sensing 13, no. 15: 3030. https://doi.org/10.3390/rs13153030 2. Morris, J.T.; Sundareshwar, P.V.; Nietch, C.T.; Kjerfve, B.; Cahoon, D.R. Responses of coastal wetlands to rising sea level. Ecology 2002, 83, 2869–2877. 3. Bilkovic, D.M.; Mitchell, M.M.; Davis, J.; Herman, J.; Andrews, E.; King, A.; Mason, P.; Tahvildari, N.; Davis, J.; Dixon, R.L. Defining boat wake impacts on shoreline stability toward management and policy solutions. Ocean. Coast. Manag. 2019, 182, 104945. 4. Burningham, H.; Fernandez-Nunez, M. Shoreline change analysis. In Sandy Beach Morphodynamics; Elsevier: Amsterdam, The Netherlands, 2020; pp. 439–460. 5. Minghelli, A.; Spagnoli, J.; Lei, M.; Chami, M.; Charmasson, S. Shoreline extraction from WorldView2 satellite data in the presence of foam pixels using multispectral classification method. Remote Sens. 2020, 12, 2664 6. Zollini, Sara, Donatella Dominici, Maria Alicandro, Maria Cuevas-Gonzalez, Eduard Angelats, Francesca Ribas, and Gonzalo Simarro. 2023. "New Methodology for Shoreline Extraction Using Optical and Radar (SAR) Satellite Imagery" Journal of Marine Science and Engineering 11, no. 3: 627. https://doi.org/10.3390/jmse11030627