The results of application of six spectral indices (AWEI, MNDWI, NDVI, NDWI, TCW, WRI) for the isolation of thermokarst lakes in tundra landscapes of northern Yakutia are presented. To assess the accuracy of decryption of lakes, an average quadratic error (MSE) was calculated. The minimum MSE value is 0.11 km2 and corresponds to the NDWI index. An almost identical result (0.12 km2) is found in the WRI index, slightly worse (0.15 km2) one — in the NDVI index. An MNDWI index has the highest mean square error (7.02 km2). Visual analysis also showed better decryption of water bodies using the NDWI, WRI and NDVI indices, which allows the use of these indices for automatical isolatation water bodies.

Artem E. Pshenichnikov Candidate of Geography Sciences, Assistant professor at the Cartography and Geoinformation Systems Department of the Institute of Earth Sciences, Tyumen State University, 6, Volodarskogo str., Tyumen, 625003, Russia, e-mail: a.e.pshenichnikov@utmn.ru

1. Kataev M.Yu., Bekerov A.A. Methodology of the water objects detection from multi-spectrum satellite measurements. Proceedings of TUSUR University. 2017;20(4):105–108 [in Russian].
2. Kravtsova V.I., Bystrova A.G. Changes in thermokarst lake size in different regions of Russia for the last 30 years. Earth’s Cryosphere. 2009;13(2):16–26 [in Russian].
3. Kurganovich K.A., Noskova E.V. The estimation of water surface variations of steppe soda lakes in the southeast of Transbaikalie with using of remote sensing of water indices. Transbaikal State University Journal. 2015;6(121):16–21 [in Russian].
4. Kornienko S.G. Analysis of errors in estimating changes in water body areas by satellite data: case study of thermokarst lakes in Yamal peninsula. Water Resources. 2017;44(2):180–191. DOI: 10.1134/S0097807816060038.
5. Manilyuk T.A, Maslova A.V. The research of water surfaces of lakes by applying of water index based on the remote sensing data. Transbaikal State University Journal. 2017;23(3):4–11. DOI: 10.21209/2227-9245-2017-23-3-4-11 [in Russian].
6. Fedorov A.N., Torgovkin Ja.I., Shestakova A.A., Vasil’ev N.F., Makarov V.S. et al.; Zheleznjak M.N. (chief ed.). Merzlotno-landshaftnaya karta Respubliki Sakha (Yakutiya). Masshtab 1:1 500 000. [Cryogenic and landscape map of Sakha Yakutia Republic. Scale 1:1 500 000]. Yakutsk: Melnikov Permafrost Institute SB RAS; 2018. 2 sheets. [in Russian].
7. Dumnov A.D., Kirsanov A.A., Kiseleva E.A. et al. Natsional’nyi atlas Rossii. T. 2. Priroda. Ekologiya [National atlas of Russia. V. 2. Nature. Ecology]. Moscow: PKO Kartografia; 2007. 496 p. [in Russian].
8. Pogorelov A.V., Lipilin D.A., Kurnosova A.S. Sputnikovyi monitoring Krasnodarskogo vodokhranilishcha [Satellite monitoring of the Krasnodar reservoir]. Geographical Bulletin. 2017;1(40):130–137. DOI: 10.17072/2079-7877-2017-1-130-137 [in Russian].
9. Acharya T.D., Subedi A., Lee D.H. Evaluation of Water Indices for Surface Water Extraction in a Landsat 8 Scene of Nepal. Sensors. 2018;18:2580. DOI: 10.3390/s18082580.
10. Acharya T.D., Subedi A., Yang I.T., Lee D.H. Combining Water Indices for Water and Background Threshold in Landsat Image. Proceedings. 2018;2:143. DOI: 10.3390/ecsa-4-04902.
11. Baig M.H.A., Zhang L., Shuai T., Tong Q. Derivation of a tasseled cap transformation based on Landsat 8 at-satellite reflectance. Remote Sensing Letters. 2014;5:423–431. DOI: 10.1080/2150704X.2014.915434.
12. Mustafa M.T., Hassoon Kh.I., Hussain H.M., Abd M.H. Using water indices (NDWI, MNDWI, NDMI, WRI and AWEI) to detect physical and chemical parameters by apply remote sensing and gis techniques. International Journal of Research – Granthaalayah. 2017;5(10):117–128. DOI: 10.29121/granthaalayah.v5.i10.2017.2289.
13. Duguay C.R., Prowse T.D., Bonsal B.R., Brown R.D., Lacroix M.P., Ménard P. Recent trends in Canadian lake ice covers. Hydrological Processes. 2006;20:781–801. DOI: 10.1002/hyp.6131.
14. Feyisa G.L., Meilby H., Fensholt R., Proud S.R. Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment. 2014;140:23–35. DOI: 10.1016/j.rse.2013.08.029.
15. Gautam V.K., Gaurav P.K., Murugan P., Annadurai M. Assessment of Surface Water Dynamics in Bangalore Using WRI, NDWI, MNDWI, Supervised Classification and K-T Transformation. Aquatic Procedia. 2015;4:739–746. DOI: 10.1016/j.aqpro.2015.02.095.
16. Herndon K., Muench R., Cherrington E., Griffin R. An Assessment of Surface Water Detection Methods for Water Resource Management in the Nigerien Sahel. Sensors. 2020;20(2):431. DOI: 10.3390/s20020431.
17. Jawak S.D., Luis A.J. A rapid extraction of water body features from Antarctic coastal oasis using very high-resolution satellite remote sensing data. Aquatic Procedia. 2015;4;125–132. DOI: 10.1016/j.aqpro.2015.02.018.
18. Kriegler F.J., Malila W.A., Nalepka R.F., Richardson W. Preprocessing Transformations and Their Effects on Multispectral Recognition. In: Proceedings of the Sixth International Symposium on Remote Sensing of Environment. Ann Arbor: Environmental Research Institute of Michigan; 1969. V. 2. Pp. 97–131.
19. McFeeters S.K. The use of Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing. 1996;17(7):1425–1432. DOI: 10.1080/01431169608948714.
20. Miller G., Briner J., DeVogel S. The rapidly disappearing plateau ice caps of central Baffin Island: Where will it all end? In: International Arctic Workshop, Programs and Abstracts, 11–13 March 2004. Boulder: Institute of Arctic and Alpine Research; 2004. P. 120.
21. Rouse J.W., Haas R.H., Schell J.A., Deering D.W. Monitoring vegetation systems in the great plains with ERTS. In: Proceedings of the 3rd Earth Resources Technology Satellite-1 Symposium. Washington: NASA; 1973. V. 1. Pp. 309–317.
22. Li Shen, Changchun Li. Water Body Extraction from Landsat ETM+ Imagery using Adaboost algorithm. In: Proceedings of 18th International Conference on Geoinformatics. Beijing: Institute of Electrical and Electronic Engineers, 2010. Pp. 1–4. DOI: 10.1109/GEOINFORMATICS.2010.5567762.
23. Swanson D.K. Thermokarst and precipitation drive changes in the area of lakes and ponds in the National Parks of northwestern Alaska, 1984–2018. Arctic, Antarctic, and Alpine Research. 2019;51(1):265–279. DOI: 10.1080/15230430.2019.1629222.
24. Xu H. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing. 2006;27(4):3025–3033.