Abstract
A case study has been made of the water bodies in Belgorod oblast in investigating the efficiency of improving spectral conversions of space images for purposes of automated interpretation of water bodies. A comparison is made of the initial image-based mapping accuracy of water bodies with values of 14 spectral indices. It is found that the Tasseled Cap Transformation can be employed in order to investigate in the greatest detail the spectral properties of water surfaces. Changes in the areas of water bodies of Belgorod oblast have been analyzed for the time interval from 1986 to 2011 on the basis of results of automated interpretation of space images.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Frazier, P.S. and Page, K.J., Water Body Detection and Delineation with Landsat TM Data, Photogrammetric Engineering and Remote Sensing, 2000, vol. 66, no. 12, pp. 1461–1467.
Yuan, F., Sawaya, K.E., Loeffelholz, B.C., and Bauer, M.E., Land Cover Classification and Change Analysis of the Twin Cities (Minnesota) Metropolitan Area by Multitemporal Landsat Remote Sensing, Remote Sensing of Environment, 2005, no. 98, pp. 317–328.
Abrosimov, A.B. and Dvorkin, B.A., Possibilities for Practical Implementation of Data of RSE From Space for Monitoring of Water Bodies, Geomatika, 2009, no. 4, pp. 54–63 [in Russian].
Kurbatova, I.E., Utilization of Space Monitoring Data for Assessing Ecology Condition of Large River Catchments, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2010, vo. 7, no. 2, pp. 157–166 [in Russian].
Kutuzov, A.V., Using Remote Sensing Data in Monitoring the “Water-Land” Systems on Plain Reservoirs (Exemplified by the Tsimlyanskoe Reservoir), Issledovanie Zemli iz kosmosa, 2011, no. 6, pp. 64–72 [in Russian].
Studenikin, A.V. and Filippov, O.V., Automated Technologies of RSE Data Processing in Comprehensive Monitoring of the Volgograd Reservoir, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, vol. 8, no. 3, pp. 192–198 [in Russian].
Troitskaya, Yu.I., Rybushkina, G.V., Soustova, I.A., Balandina, G.N., Lebedev, S.A., Kostyanoi, A.G., Panyutin, A.A., and Filina, L.V., Satellite Altimetry of Inland Water Bodies, Water Resources, 2012, vol. 39, no. 2, pp. 184–199.
Crist, E.P. and Cicone, R.C., A Physically-Based Transformation of Thematic Mapper Data — the TM Tasseled Cap, IEEE Transac. Geosci. & Remote Sensing, 1984, vol. 22, no. 3, pp. 256–263.
Sudheer, K.P., Chaubey, I., and Gard, V., Lake Water Quality Assessment From Landsat Thematic Mapper Data Using Neural Network: An Approach to Optimal Band Combination Selection, J. Am. Water Resour. Assoc., 2006, vol. 42, no. 6, pp. 1683–1695.
Terekhin, E.A., Analysis of LANDSAT TM Satellite Data Channels for Assessing the Characteristics of Forest Stands of the Central Russian Upland, Issledovanie Zemli iz kosmosa, 2012, no. 2, pp. 53–61 [in Russian].
Terekhin, E.A., Information Content of Spectral Vegetation Indices for Interpretation of Agricultural Vegetation, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, vol. 9, no. 4, pp. 243–248 [in Russian].
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © E.A. Terekhin, 2013, published in Geography and Natural Resources, 2013, Vol. 34, No. 3, pp. 132–138.
Rights and permissions
About this article
Cite this article
Terekhin, E.A. The procedure of seeking effective spectral indices for automated interpretation of water bodies (a case study of Belgorod oblast). Geogr. Nat. Resour. 34, 272–277 (2013). https://doi.org/10.1134/S1875372813030128
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1875372813030128