BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-europe-2025//talk//EYUWH U BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-europe-2025-EYUWHU@talks.staging.osgeo.org DTSTART;TZID=CET:20250717T163000 DTEND;TZID=CET:20250717T170000 DESCRIPTION:Climate change significantly threatens water quality\, ecosyste m health\, and the balance of lake ecosystems\, making the monitoring of l ake water quality increasingly critical. Remote sensing technology has eme rged as an effective tool for this purpose. This study focuses on Deran La ke in Bosnia and Herzegovina\, assessing the suitability of Sentinel-2 Mul tispectral Instrument (MSI) data for mapping various water quality paramet ers. Deran Lake is a vital aquatic habitat known for its rich biodiversity \, primarily due to the numerous water sources originating from the surrou nding karst hills. Its unique hydrological connection with the Krupa River and various underground springs enhances its ecological significance\, pr oviding a habitat for diverse plant and animal species. Recognized for its ecological importance\, Deran Lake has been designated as part of the Hut ovo Blato Nature Park\, a wetland area that forms a natural unit of the Ne retva River delta in southern Bosnia and Herzegovina. This nature park enc ompasses six lakes\, including Deran\, Jelim\, Drijen\, Orah\, Škrka\, an d Svitava\, and is sustained by 62 underground freshwater springs. Due to the lake’s shallowness\, its dimensions vary with seasonal changes\, cov ering approximately 1.4 square kilometres during high water levels and shr inking to about 0.3 square kilometres in summer. The Krupa River serves as the lake's sole outflow\, flowing into the Neretva River\, and plays a cr ucial role in maintaining the ecological balance of the area. The Krupa Ri ver's hydrological dynamics are complex\; under certain conditions\, it ca n reverse its flow during high water levels\, returning water to the lake. This phenomenon significantly impacts nutrient dynamics and ecosystem cha nges\, necessitating comprehensive monitoring for thorough understanding o f these processes to preserve ecological balance. Deran Lake is characteri zed by its pristine natural environment\, with minimal anthropogenic press ure\, although strong seasonal vegetation complicates water quality studie s. In summer\, extensive water lily growth can cover nearly the entire lak e surface\, obstructing various research methods. The dense vegetation\, p articularly water lilies\, poses challenges for remote sensing and the ass essment of physicochemical and biological parameters. Additionally\, this extensive vegetation cover can influence nutrient distribution and other e cological factors\, complicating the assessment of ecosystem processes at the lake level. To mitigate these challenges\, the research focuses on a h igh-water level period when vegetation cover is reduced\, allowing for mor e effective remote sensing research to contribute to the understanding and conservation of the Hutovo Blato ecosystem. By using new technologies\, r esearchers can focus their efforts on better understanding the role of veg etation in nutrient distribution and the effects of seasonal changes in th e lake's ecosystem by continuous monitoring in long-term studies and resea rch of the ecosystem is essential to develop strategies for its protection . The application of new technologies contributes to more effective monito ring and conservation of these valuable ecosystems. Ultimately\, such appr oaches can contribute significantly to the sustainability of the Hutovo Bl ato ecosystem and ensure the long-term conservation of biodiversity. With proper management and the application of scientific research\, the negativ e effects of climate change can be mitigated and the balance in these frag ile ecosystems can be maintained. This research aims to explore the applic ation of Sentinel-2 imagery for monitoring water quality\, specifically fo cusing on Deran Lake. Sentinel-2\, part of the Copernicus Programme\, is o perated by European Space Agency and provides high-resolution optical imag ery from 10 m to 60 m on a free and open data basis. The mission includes the Sentinel-2A and Sentinel-2B satellites\, with a third satellite\, Sent inel-2C\, launched in 2024\, and plans for a Sentinel-2D in the future to replace the earlier satellites. The mission supports a variety of applicat ions\, including agricultural monitoring\, emergency management\, land cov er classification\, and water quality assessment. Sentinel-2 features mult i-spectral data with 13 bands that cover visible\, near-infrared\, and sho rt-wave infrared spectra\, allowing for systematic global coverage from 56 ° S to 84° N and a revisit time of every 5 days. The mission’s spatial resolutions of 10 m\, 20 m\, and 60 m\, along with a 290 km field of view and a free and open data policy\, make it a valuable tool for environment al monitoring. The study emphasized the importance of lakes and the growin g demand for water quality monitoring at both local and global scales. The research evaluates the effectiveness of Sentinel-2's Multispectral Instru ment (MSI) data in mapping various water quality parameters\, including ch lorophyll-a\, total suspended solids\, and water transparency. In situ mea surements from Deran Lake were compared with remote sensing assessment der ived from atmospherically corrected Level-1C images. Since 2015\, Sentinel -2 Level 1C products have been available globally\, providing Top of Atmos phere (TOA) reflectance images. The study employed the C2RCC processor for atmospheric correction in the Sentinel Application Platform (SNAP)\, and all bands were resampled to a uniform resolution of 10 m for comparability . SNAP is a versatile architecture designed for Earth observation processi ng and is available free of charge to the Earth Observation Community. C2R CC\, developed by Schiller and Doerffer in 1999\, utilities a machine lear ning-based methodology for atmospheric correction and in-water retrieval c hallenges. The processor was utilized to assess water parameters\, yieldin g correlation results with R² greater than 0.5 for the parameters examine d. These initial findings suggest that Sentinel-2 could be a valuable reso urce for lake monitoring and research\, particularly due to the routine av ailability of data over the years\, frequent imagery\, and free and open d ata policy. DTSTAMP:20260527T053251Z LOCATION:PA01 (Quarticle) SUMMARY:Utilizing Sentinel-2 Remote Sensing for Water Quality Monitoring in Deran Lake\, Bosnia and Herzegovina - Anja Batina URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/EYUWHU/ END:VEVENT END:VCALENDAR