Application of Sentinel-2 Level 1C Satellite Imagery for Inland Surface Water Bodies Detection in Temperate Climates Based on Water Indices

Aleksandra Nisztuk; Małgorzata Frydrych; Krzysztof Będkowski

doi:10.14746/quageo-2026-0024

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Application of Sentinel-2 Level 1C Satellite Imagery for Inland Surface Water Bodies Detection in Temperate Climates Based on Water Indices

Quaestiones Geographicae

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By: Aleksandra Nisztuk, Małgorzata Frydrych and Krzysztof Będkowski

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|Sep 2026

Acharya T.D., Subedi A., Lee D.H., 2018. Evaluation of water indices for surface water extraction in a Landsat 8 scene of Nepal. Sensors 18(2580): 1–15. DOI 10.3390/s18082580.
Open DOI Search in Google Scholar Back to article
Albertz J., 2007. Einführung in die Fernerkundung. Grundlagen der Interpretation von Luft- und Satellitenbildern. Wissenschaftliche Buchgesellschaft, Darmstadt.
Search in Google Scholar Back to article
Ali S.I., Dirawan G.D., Hasim A.H., Abidin M.R., 2019. Detection of changes in surface water bodies urban area with NDWI and MNDWI methods. International Journal on Advanced Science Engineering Information Technology 9(3): 946–951. DOI 10.18517/ijaseit.9.3.8692.
Open DOI Search in Google Scholar Back to article
Astsatryan H., Grigoryan H., Abrahamyan R., Asmaryan S., Muradyan V., Tepanosyan G., Guigoz Y., Giuliani G., 2022. Shoreline delineation service: Using an Earth Observation Data Cube and Sentinel 2 images for coastal monitoring. Earth Science Informatics 15: 1587–1596. DOI 10.1007/s12145-022-00806-7.
Open DOI Search in Google Scholar Back to article
Babiński Z., 1984. Interpretacja zdjęć lotniczych w badaniu dynamiki mezoform korytowych dolnej Wisły. Fotointerpretacja w Geografii VII(17): 50–58.
Search in Google Scholar Back to article
Baraniecki L., Ruszczycka-Mizera M., 1977. Fotointerpretacja jako metoda badania rozwoju współczesnych procesów dolinnych. Fotointerpretacja w Geografii II(12): 83–93.
Search in Google Scholar Back to article
Bartolucci L.A., Robinson B.F., Silva R., 1977. Field measurements of the spectral response of natural waters. Photogrammetric Engineering and Remote Sensing 43(5): 595–598.
Search in Google Scholar Back to article
Bijeesh T.V., Narasimhamurthy K.N., 2019. A comparative study of spectral indices for sufrace water delineation using Landsat 8 images. International Conference on Data Science and Communication CHRIST (Deemed to be University), Bangalore, India.
Search in Google Scholar Back to article
Boak E.H., Turner I.L., 2005. Shoreline definition and detection: A review. Journal of Coastal Research 214: 688–703. DOI 10.2112/03-0071.1.
Open DOI Search in Google Scholar Back to article
Borkowski G., Młynarczyk A., Plichta A., Tritt R., 2024. Selected methods for determining inconclusively identifiable shorelines of watercourses and lakes. Reports on Geodesy and Geoinformatics 117: 30–37. DOI 10.2478/rgg-2024-0004.
Open DOI Search in Google Scholar Back to article
Burshtynska K., Holochkin M., Tretyak S., Zayats I., 2017. Monitoring of the riverbeds of River Dniester using GIS technologies. Archiwum Fotogrametrii, Kartografii i Teledetekcji 29: 25–36. DOI: 10.14681/afkit.2017.002.
Open DOI Search in Google Scholar Back to article
Burshtynska K., Shevchuk V., Tretyak S., Vekliuk V., 2016. Monitoring of the riverbeds of Rivers Dniester and Tisza of the Carpathian Region. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7: 177–182. DOI 10.5194/isprs-archives-XLI-B7-177-2016.
Open DOI Search in Google Scholar Back to article
Dajek J., Banasiak M., Chariza K., Curyło S., Dajek M., Derkowska-Pająkiewicz D., Dzieniszewska T., Fiedor J., Fret M., Jakubiak J., Romanowska J., Kaczkerek D., 2011. Atlas Geograficzny. Polska, kontynenty, świat. Nowa Era, Warszawa.
Search in Google Scholar Back to article
Dobrowolski A., Głowacka B., Krupa-Marchlewska J., 2004. Określenie zmian morfologicznych koryta Wisły powyżej Warszawy w oparciu o lotnicze zobrazowanie terenu metodą wideo-komputerową. Teledetekcja Środowiska 33: 52–57.
Search in Google Scholar Back to article
Du Z., Linghu B., Ling F., Li W., Tian W., Wang H., Gui Y., Sun B., Zhang X., 2012. Estimating surface water area changes using time-series Landsat data in the Qingjiang River Basin, China. Journal of Applied Remote Sensing 6(1): 063609. DOI 10.1117/1.jrs.6.063609.
Open DOI Search in Google Scholar Back to article
Du Z., Li W., Zhou D., Tian L., Ling F., Wang H., Gui Y., Sun B., 2014. Analysis of Landsat-8 OLI imagery for land surface water mapping. Remote Sensing Letters 5(7): 672–681. DOI 10.1080/2150704X.2014.960606.
Open DOI Search in Google Scholar Back to article
Dworak T.Z., Hejmanowska B., Pyka K., 2011. Problemy teledetekcyjnego monitoringu środowiska. T. II. Teledetekcja wód i powierzchni Ziemi. Wydawnictwa AGH, Kraków.
Search in Google Scholar Back to article
Feyisa G., Meiby H., Fensholt R., Proud S., 2014. Automated water extraction index: A new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment 140: 23–35. DOI 10.1016/j.rse.2013.08.029.
Open DOI Search in Google Scholar Back to article
Florek W., 1983. Zastosowanie zdjęć lotniczych w badaniach den dolin rzecznych (na przykładzie dolnego Bobru). Fotointerpretacja w Geografii 16: 22–33.
Search in Google Scholar Back to article
Ghosh S., Hoque M.M., Islam A., Barman S.D., Mahammad S., Rahman A., Maji N.K., 2023. Characterizing floods and reviewing flood management strategies for better community resilience in a tropical river basin, India. Natural Hazards 115(2): 1799–1832. DOI 10.1007/s11069-022-05618-y.
Open DOI Search in Google Scholar Back to article
Hejmanowska B., Wężyk P., Bajorek-Zydroń K., Chormański J., Cisło-Lesicka U., Głowienka E., Jasiewicz J., Jaskuła J., Jędrzejczak E., Kaźmierowski C., Kramarczyk P., Królewicz S., Mleczko M., Mróz M., Ostrowska N., Piekarczyk J., Słapińska M., Sojka M., Szporak-Wasilewska S., Wróżyński R., Zapłata R., Zięba-Kulawik K., ŻądłoA., 2020. Dane satelitarne dla Administracji Publicznej. Polska Agencja Kosmiczna. polsa.gov.pl/wp-content/themes/polsa/files/Podrecznik.pdf (accessed: 26.11.2025).
Search in Google Scholar Back to article
Hojan M., Rurek M., 2021. Effect of emergency water discharges from the dam in Włocławek on the sedimentary structures of channel bars in the lower flow regime of the river Vistula. Water 13: 328. DOI 10.3390/w13030328.
Open DOI Search in Google Scholar Back to article
Hossain F., Kamal M.A., Afrin T., 2024. Fluvio-geomorphic change of the Padma-Meghna river course using the NDWI and MNDWI techniques. Water Science 38(1): 293–310. DOI 10.1080/23570008.2024.2344752.
Open DOI Search in Google Scholar Back to article
Jiang H., Feng M., Zhu Y., Lu N., Huang J., Xiao T., 2014. An automated method for extracting rivers and lakes from Landsat imagery. Remote Sensing 6: 5067–5089. DOI 10.3390/rs6065067.
Open DOI Search in Google Scholar Back to article
Ji L., Zhang L., Wylle B., 2009. Analysis of dynamic thresholds for the normalized difference water index. Photogrammetric Engineering and Remote Sensing 75(11): 1307–1317. DOI 10.14358/PERS.75.11.1307.
Open DOI Search in Google Scholar Back to article
Kaplan G., Avdan U., 2017. Object-based water body extraction model using Sentinel-2 satellite imagery. European Journal of Remote Sensing 50(1): 137–143. DOI 10.1080/22797254.2017.1297540.
Open DOI Search in Google Scholar Back to article
Khan N.H.R., 2022. Study of fluctuations in surface area of Lake Haramaya using NDWI and MNDWI methods. Journal of Geospatial Information Science and Engineering 5(1): 36–41. DOI 10.22146/jgise.68630.
Open DOI Search in Google Scholar Back to article
Kryniecka K., Magnuszewski A., 2020. Use of Sentinel-2 images for the detection of sandbars along the lower vistula. Acta Scientiarum Polonorum Formatio Circumiectus 19(2): 23–33. DOI 10.15576/ASP.FC/2020.19.2.23.
Open DOI Search in Google Scholar Back to article
Kryniecka K., Magnuszewski A., 2021. Application of satellite Sentinel-2 images to study alternate sandbars movement at Lower Vistula River (Poland). Remote Sensing 13: 1505. DOI 10.3390/rs13081505.
Open DOI Search in Google Scholar Back to article
Kuenzer C., Guo H., Huth J., Leinenkugel P., Li X., Dech S., 2013. Flood mapping and flood dynamics of the Mekong Delta: ENVISAT-ASAR-WSM based time series analyses. Remote Sensing 5: 687–715. DOI 10.3390/rs5020687.
Open DOI Search in Google Scholar Back to article
Kumar Pal P., Rahman A., Anika Yunus D., 2017. Analysis on River Bank erosion-accretion and bar dynamics using multi-temporal satellite images. American Journal of Water Resources 5(4): 132–141. DOI 10.12691/ajwr-5-4-6.
Open DOI Search in Google Scholar Back to article
Kupidura P., 2013. Distinction of lakes and rivers on satellite images using mathematical morphology. Biuletyn WAT LXII(3): 57–69.
Search in Google Scholar Back to article
Laonamsai J., Julphunthong P., Saprathet T., Kimmany B., Ganchanasuragit T., Chomcheawchan P., Tomun N., 2023. Utilizing NDWI, MNDWI, SAVI, WRI, and AWEI for estimating erosion and deposition in Ping River in Thailand. Hydrology 10(3): 1–25. DOI 10.3390/hydrology10030070.
Open DOI Search in Google Scholar Back to article
Le T.S., Dell B., Harper R., 2024. A New Remote Sensing Index for Forest Dryness Monitoring Using Multi-Spectral Satellite Imagery. Forests 15(6): 915. DOI 10.3390/f15060915.
Open DOI Search in Google Scholar Back to article
Lei J., Li Z., Bruce W., 2009. Analysis of Dynamic Thresholds for the Normalized Difference Water Index. Photogrammetric Engineering & Remote Sensing 11: 1307-1317. DOI 10.14358/PeRS.75.11.1307.
Open DOI Search in Google Scholar Back to article
Li W., Du Z., Ling F., Zhou D., Wang H., Gui Y., Sun B., Zhang X., 2013. A comparison of land surface water mapping using the normalized difference water index from TM, ETM+ and ALI. Remote Sensing 5(11): 5530–5549. DOI 10.3390/rs5115530.
Open DOI Search in Google Scholar Back to article
Łajczak A., Babiński Z., Falkowski T., Gierszewski P., Habel M., Plit J., Soja R., Szmańda J., 2021. Współczesne przemiany rzeźby koryta i równiny zalewowej Wisły. In: Kostrzewski A., Krzemień K., Migoń P., Starkel L., Winowski M., Zwoliński z. (eds), Współczesne przemiany rzeźby Polski. Bogucki Wydawnictwo Naukowe, Poznań, 623-680.
Search in Google Scholar Back to article
McFeeters S.K., 1996. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing 17(7): 1425–1432. DOI 10.1080/01431169608948714.
Open DOI Search in Google Scholar Back to article
Ning F.C., Lee Y.C., 2012. Combining spectral water indices and mathematical morphology to evaluate surface water extraction in Taiwan. Water 13: 2774. DOI 10.3390/w13192774.
Open DOI Search in Google Scholar Back to article
Osińska-Skotak K., 2010. Metodyka wykorzystania superi hiperspektralnych danych satelitarnych w analizie jakości wód śródlądowych. Prace Naukowe, Geodezja 47: 3–153.
Search in Google Scholar Back to article
Pan F., Xi X., Wang C., 2020. A comparative study of water indices and image classification algorithms for mapping inland surface water bodies using Landsat imagery. Remote Sensing 12: 1611. DOI 10.3390/rs12101611.
Open DOI Search in Google Scholar Back to article
Pereira L.E., Amorim G., Grigio A.M., Filho A.C.P., 2018. Comparative analysis of normalized difference water index (NDWI) methods in continental wetland. Anuario Do Instituto de Geociencias 41(2): 654–662. DOI 10.11137/2018_2_654_662.
Open DOI Search in Google Scholar Back to article
Pluto-Kossakowska J., Władyka M., Tulkowska W., 2018. Ocena obrazowych danych teledetekcyjnych do identyfikacji obiektów w zielonej i błękitnej infrastrukturze. Teledetekcja Środowiska 59: 13–27.
Search in Google Scholar Back to article
Rashid M.B., Habib M.A., 2022. Channel bar development, braiding and bankline migration of the Brahmaputra-Jamuna river, Bangladesh through RS and GIS techniques. International Journal of River Basin Management 22(2): 1–13. DOI 10.1080/15715124.2022.2118281.
Open DOI Search in Google Scholar Back to article
Robak A., Gadawska A., Milczarek M., Lewiński S., 2016. Wykrywanie wody na zdjęciach optycznych Sentinel-2 na podstawie wskaźników wodnych. Teledetekcja Środowiska 55: 59–72.
Search in Google Scholar Back to article
Sanyal J., Lu X., 2004. Application of remote sensing in flood management with special reference to monsoon Asia: A review. Natural Hazards 33(2): 283–301. DOI 10.1023/B:NHAZ.0000037035.65105.95.
Open DOI Search in Google Scholar Back to article
Sarp G., Ozcelik M., 2017. Water body extraction and change detection using time series: A case study of Lake Burdur, Turkey. Journal of Taibah University for Science 11(3): 381–391. DOI 10.1016/j.jtusci.2016.04.005.
Open DOI Search in Google Scholar Back to article
Schumann G.J.P., Neal J.C., Mason D.C., Bates P.D., 2011. The accuracy of sequential aerial photography and SAR data for observing urban flood dynamics, a case study of the UK summer 2007 floods. Remote Sensing of Environment 115: 2536–2546. DOI 10.1016/j.rse.2011.04.039.
Open DOI Search in Google Scholar Back to article
Simiyu G.W., Mwatelah J., 2025. Mapping water quality using remote sensing technology: A case study of Lake Victoria. Journal of Geoscience and Environment Protection 13(8): 225–252. DOI 10.4236/gep.2025.138013.
Open DOI Search in Google Scholar Back to article
Śmielak Ł, 2008. Charakterystyka zmian przebiegu koryta rzeki Słupi w granicach miasta Słupsk –ujęcie historyczne przy wykorzystaniu narzędzi GIS. Problemy Ekologii Krajobrazu 22: 279–284.
Search in Google Scholar Back to article
Tobiasz M., 2012. Zmienność układu koryt rzecznych w dolinie Narwi na odcinku między Łapami a Żółtkami w II połowie XX wieku. Teledetekcja Środowiska 47: 15–31.
Search in Google Scholar Back to article
Trafas K., 1975, Zmiany biegu koryta Wisły na wschód od Krakowa w świetle map archiwalnych i fotointerpretacji. Zeszyty Naukowe UJ. Prace Geograficzne 40: 703–117.
Search in Google Scholar Back to article
Trafas K., 1977. Rekonstrukcja zmian biegu koryta Wisły na podstawie zdjęć lotniczych. Fotointerpretacja w Geografii 10: 29–39.
Search in Google Scholar Back to article
Trinh L.H., Bien T.X., Dao K.H., 2024. Reservoir surface water area variations change research using Sentinel 2 MSI data. A case study in Dak Lak province, Central Highlands (Vietnam). Advances in Geodesy and Geoinformation 73(2): article no. E56. DOI 10.24425/agg.2024.150685.
Open DOI Search in Google Scholar Back to article
Wang B., Jun Xu Y., 2018. Dynamics of 30 large channel bars in the lower Mississippi River in response to river engineering from 1985 to 2015. Geomorphology 300(2): 31–44. DOI 10.1016/j.geomorph.2017.09.041.
Open DOI Search in Google Scholar Back to article
Wierzbicki G., Ostrowski P., Bartold P., Bujakowski F., Falkowski T., Osiński P., 2021. Urban geomorphology of the Vistula River valley in Warsaw. Journal of Maps 17: 170–185. DOI 10.1080/17445647.2020.1866698.
Open DOI Search in Google Scholar Back to article
Wilczyński R., Świątkiewicz A., Marcinkowski Z., Gołuch P., 1994. Zdjęcia lotnicze rzeki Wisły –rejestracja niskiego stanu wody. Fotointerpretacja w Geografii, Problemy Telegeoinformacji 24: 68–75.
Search in Google Scholar Back to article
Xu H., 2005. A study on information extraction of water body with the modified normalized difference water index (MNDWI). Journal of Remote Sensing 9(5): 589–595. DOI:10.11834/jrs.20050586.
Open DOI Search in Google Scholar Back to article
Xu H., 2006. Modification of Normalised Difference Water Index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing 27(14): 3025–3033. DOI 10.1080/01431160600589179.
Open DOI Search in Google Scholar Back to article
Yang J., Du X., 2017. An enhanced water index in extracting water bodies from Landsat TM imagery. Annals of GIS 23(3): 141–148. DOI 10.1080/19475683.2017.1340339.
Open DOI Search in Google Scholar Back to article
Yang X., Zhao S., Qin X., Zhao N., Liang L., 2017. Mapping of urban surface water bodies from sentinel-2 MSI imagery at 10 m resolution via NDWI-based image sharpening. Remote Sensing 9: 596. DOI 10.3390/rs9060596.
Open DOI Search in Google Scholar Back to article
Zhou Y., Dong J., Xiao X., Xiao T., Yang Z., Zhao G., Zou Z., Qin Y., 2017. Open surface water mapping algorithms: A comparison of water-related spectral indices and sensors. Water 9: 256. DOI 10.3390/w9040256.
Open DOI Search in Google Scholar Back to article

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DOI: https://doi.org/10.14746/quageo-2026-0024 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103 (formerly 0137-477X)

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Language: English

Submitted on: May 29, 2025

Published on: Sep 17, 2026

Published by: Adam Mickiewicz University

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© 2026 Aleksandra Nisztuk, Małgorzata Frydrych, Krzysztof Będkowski, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.

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