The procedure of seeking effective spectral indices for automated interpretation of water bodies (a case study of Belgorod oblast)

Geography and Natural Resources

Volumn 34, Issue 3, 2013, Pages 272-277

  Terekhin, E A ^a  

^a BELGOROD STATE UNIVERSITY   (Russian Federation)

Author keywords

automated; Belgorod; bodies; indices; interpretation; oblast; spectral; water

Indexed keywords

ACCURACY ASSESSMENT; AUTOMATION; IMAGE ANALYSIS; MAPPING; SPECTRAL ANALYSIS;

RUSSIAN FEDERATION;

EID: 84886565877     PISSN: 18753728     EISSN: None     Source Type: Journal    
DOI: 10.1134/S1875372813030128     Document Type: Article

References (11)

1. 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.
2. 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.
3. 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].
4. 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].
5. 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].
6. 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].
7. 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.
8. 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.
9. 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.
10. 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].
11. 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].