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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 Cover

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

Open Access
|Sep 2026

Figures & Tables

Table 1.

Selected characteristics of the Vistula River (Łajczak et al. 2021).

Characteristic of the Vistula RiverValue
Drainage basin area194,424 km2
Valley length525 km
Average discharge at the mouth1,080 m3/s
Amount of transported suspended and bedload material833,000 t/year
River sinuosity115%
Fig. 1.

Study area. A – Location of research areas in Poland; positions of hydrological stations are marked with triangles; B – Physical-geographical map of Research Area 1 with designated test areas; C – Physical-geographical map of Research Area 2 with designated test areas; based on data from GUGiK – www.geoportal.gov.pl/.

Fig. 2.

RGB composites for Research Areas 1 and 2; A–D – profile lines drawn through the analysed spectral indices, shown in Figures 8 and 9.

Table 2.

List of Sentinel-2 satellite scenes used in the analysis with corresponding water levels and stage classification.

Study areaPhoto dateSatellite scene nameWater levelStage zone
125.04.2019S2A_MSIL1C_20190425T094031_N0207215 cmlow
122.08.2020S2B_MSIL1C_20200822T094039_N0500220 cmlow
131.10.2021S2A_MSIL1C_20211031T094141_N0500219 cmlow
127.08.2022S2A_MSIL1C_20220827T093601_N0400211 cmlow
225.04.2019S2A_MSIL1C_20190425T094031_N020750 cmlow
214.09.2020S2B_MSIL1C_20200914T095029_N050057 cmlow
229.10.2021S2B_MSIL1C_20211029T095029_N030160 cmlow
219.05.2022S2A_MSIL1C_20220519T094041_N040061 cmlow
Fig. 3.

Diagram of the data analysis process.

Fig. 4.

Water index maps for Research Area 1.

Fig. 5.

Water index maps for Research Area 2.

Table 3.

Basic characteristics of the applied spectral indices.

Water IndexEquationReference
Normalized Difference Water Index (NDWI)NDWI = (Green - NIR)/(Green + NIR)McFeeters (1996)
Modified Normalized Difference Water Index (MNDWI)MNDWI = (Green - SWIR)/(Green + SWIR)Xu (2006)
the Sentinel Water Mask (SWM)SWM = (Blue + Green)/(NIR + SWIR)Robak et al. (2016)
Fig. 6.

Thresholded spectral indices for Research Area 1.

Fig. 7.

Thresholded spectral indices for Research Area 2.

Fig. 8.

Cross-sections across the Vistula River in Research Area 1, running through three land-cover classes: water, river bars and riparian vegetation. The location of the profiles is shown in Fig. 2. The blue line indicates the adopted threshold value.

Fig. 9.

Cross-sections across the Vistula River in Research Area 2, running through three land-cover classes: water, river bars and riparian vegetation. The location of the profiles is shown in Fig. 2. The blue line indicates the adopted threshold value.

Fig. 10.

Diagram presenting the variability of indices values within three land-cover classes: water, river bars and riparian vegetation.

Fig. 11.

Selected test areas within Research Area 1 in the CIR composition in the year 2022.

Fig. 12.

Thresholded water indices for test area 1 (Stare Wislisko) in the years 2019–2022.

Fig. 13.

Thresholded water indices for test area 2 (branch of the Vistula River) in the years 2019–2022.

Fig. 14.

Thresholded water indices for test areas 3a and 3b (an example of water bodies in Research Area 1) in the years 2019–2022.

Fig. 15

Selected test areas within Research Area 2 in the CIR composition in the year 2022.

Fig. 16.

Thresholded water indices for test area 7 (Pilica River) in the years 2019–2022.

Fig. 17.

Thresholded water indices for test area 8 (Wilga River) in the years 2019–2022.

Fig. 18.

Thresholded water indices for test areas 9a and 9b (an example of water bodies in Research Area 2) in the years 2019–2022.

Table 4.

Statistical results of the validation procedure showing the accuracy of the analysed water indices.

overall AccuracyUser AccuracyProducent AccuracyKappa Coefficient
Area 1NDWI92.0099.0071.740.78
MNDIW89.20100.0060.870.69
SWM89.60100.0062.320.71
Area 2NDWI92.20100.0077.190.82
MNDIW84.6098.9655.560.62
SWM88.4099.1366.670.72
Table 5.

Evaluation of water indices in selected test areas (Research Area 1).

Test areaIndex2019202020212022
1SWM2221
NDWI3331
MNDWI2111
2SWM1333
NDWI2333
MNDWI1223
3a, 3bSWM3232
NDWI3232
MNDWI3323
4SWM1111
NDWI1111
MNDWI1111
5SWM1111
NDWI1111
MNDWI1111
6SWM1111
NDWI1111
MNDWI1111
Table 6.

Evaluation of water indices in selected test areas (Research Area 2).

Test areaIndex2019202020212022
7SWM2311
NDWI3333
MNDWI1222
8SWM2112
NDWI2122
MNDWI2122
9a, 9bSWM3112
NDWI3222
MNDWI2221
Table 7.

Summary of evaluations of the applied indices based on selected examples.

Frequency of rating 3Frequency of rating 2Frequency of rating 1Effectiveness
SWM792032%
NDWI1391449%
MNDWI4132740%
Fig. 19.

Annual NDWI values for Research Area 1 and Research Area 2 within water bodies located in the Vistula River channel for the years 2019–2022. The plots are based on Sentinel-2 scenes with cloud cover below 20% (data source: Copernicus Browser: browser.dataspace.copernicus.eu/). NDWI, normalized difference water index.

DOI: https://doi.org/10.14746/quageo-2026-0024 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103 (formerly 0137-477X)
Language: English
Submitted on: May 29, 2025
Published on: Sep 17, 2026
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
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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.