Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Bijeesh, T.V.; Narasimhamurthy, K.N.; Sathish, P.K.; Bejoy, B.J.; Michael Moses, J. Title A name given to the resource A generic framework for forecasting lake surface area dynamics using level set segmentation and double exponential smoothing Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Sustainable Water Resources Management;Volume;11;Issue;4;Article No.;84; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s40899-025-01258-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s40899-025-01258-9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105011173250?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105011173250?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bijeesh T.V., Department of CSE, CHRIST University, Kengeri Campus, Karnataka, Bangalore, 560060, India; Narasimhamurthy K.N., Department of Civil Engineering, CHRIST University, Kengeri Campus, Karnataka, Bangalore, 560060, India; Sathish P.K., Department of CSE, CHRIST University, Kengeri Campus, Karnataka, Bangalore, 560060, India; Bejoy B.J., Department of CSE, CHRIST University, Kengeri Campus, Karnataka, Bangalore, 560060, India; Michael Moses J., Department of CSE, CHRIST University, Kengeri Campus, Karnataka, Bangalore, 560060, India Description An account of the resource Water has been a crucial element for the sustenance of civilization throughout history and civilizations have sprung up around a body of water in one form or another. It becomes imperative to address the pressing issue of water shortage and the shrinking size of urban water bodies, which is particularly relevant in Indian cities like Bangalore. The effective management and preservation of these invaluable resources depend on the development of accurate and automated tools to monitor them. The proposed framework introduces a novel approach, combining a level set-based segmentation algorithm with double exponential smoothing to monitor water bodies using multispectral satellite images. In-depth review of nine lakes within Bangalore was carried out using a Landsat time series data set spanning 1987 to 2020. The resulting forecasting model, employing a univariate smoothing methodology, showcased exceptional performance metrics. Notably, it yielded an average error of 0.072 and exhibited a robust correlation coefficient of 0.94 when cross-referenced with proven results. The proposed framework holds great potential for practical implementation in the domain of long-term water body analysis, effectively catering to the requirements of administrative and decision-making entities. Moreover, the adaptability of this framework for the incorporation of additional external factors, as well as its potential to analyze seasonal dynamics, offers exciting avenues for further exploration. The dataset of delineated lake images prepared in this study presents an opportunity for the advancement of image-to-image regression networks, enabling the prediction of both area and shape variations for lakes, thereby enhancing predictive accuracy and insights. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025. Subject The topic of the resource Change detection framework; Double exponential smoothing; Landsat multi-temporal data; Water body change monitoring Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23635037; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online