Visual and computer-based technologies of soil automated decoding
T. V. Korolyuk
V. V. Dokuchaev Soil Science Institute of Russian Academy of Agricultural Sciences, Russia
The experience gained in the use of visual and digital decoding methods of satellite imagery is considered (analysis of curves for spectral images, method of basic components) with the view of comparing their advantages for application in soil studies within the different natural zones of the country. Some methodical approaches are proposed to modify the decoding process for obtaining the more reliable information on the studied object.
Keywords: soil decoding, standard method, multi-zonal survey, spectral image, satellite imagery, claster analysis, method of basic components.
References
1. Andronikov V.L., Shishov L.L., Tereshenkov O.M., Ananko T.V., Vasil'evskaja V.D., Dvornikov O.A., Malinin O.I., Mahajlova R.P., Mihajlov I.S., Naumov E.M., Rudneva E.N., Sokolov I.A., Tonkonogov V.D., Shapiro M.B., Shubina I.G. Sostavlenie listov Gosudarstvennoj pochvennoj karty SSSR s ispol'zovaniem kosmicheskih snimkov, Ajerokosmicheskie metody v pochvovedenii i ih ispol'zovanie v sel'skom hozjajstve. Sb. nauch. tr, Moscow, 1990, pp. 88–96.
2. Afanas'eva T.V. Ispol'zovanie ajerometodov pri kartirovanii i issledovanii pochv, Moscow, 1965, 157 p.
3. Vinogradov B.V. Sistema razvitija ajerofotograficheskogo jetalonirovanija, Ajerofotograficheskoe jetalonirovanie i jekstrapoljacija, M., 1967, pp. 5–15.
4. Klassifikacija i diagnostika pochv Rossii, Smolensk: Ojkumena, 2004, 235 p.
5. Koroljuk T.V. Tipizacija struktur pochvennogo pokrova, Genezis, geografija i kartografija pochv, Moscow, 2000a, pp. 240–251.
6. Koroljuk T.V. Faktorno-geneticheskij analiz pochvennogo pokrova kak osnova raspoznavanija ego struktury po ajero- i kosmicheskim izobrazhenijam, Sovremennye problemy pochvovedenija, Moscow, 2000b, pp. 41–55.
7. Koroljuk T.V., Ovechkin S.V. Approaches to modernization of the state soil map of russia on the basis of the methods of digital soil mapping, Eurasian Soil Science, 2010, No. 5. pp. 488–498.
8. Koroljuk T.V., Shherbenko E.V. Interpretation of the soil cover in forest-steppe landscapes on the basis of multizonal space images made in different seasons, Eurasian Soil Science, 2003, No. 3, pp. 253–265.
9. Krupnomasshtabnaja kartografija pochv (metody, teorija i praktika), Moscow, 1977. 214 p.
10. Savin I.Ju. Open soil surface brightness as a direct sign for soil recognition on LANDSAT images, Byulleten' Pochvennogo instituta im. V.V. Dokuchaeva, 2013, Vol. 71, pp. 52–64.
11. Simakova M.S. Small-Scale Soil Mapping, Eurasian Soil Science, 2011, No. 9, pp. 1036–1038.
12. Sostavlenie i ispol'zovanie detal'nyh pochvennyh kart. Metodicheskie rekomendacii, Moscow, 1977, 52 p.
13. Sostavlenie krupnomasshtabnyh pochvennyh kart s pokazom struktury pochvennogo pokrova. Metodicheskie rekomendacii, Moscow, 1989, 56 p.
14. Sostavlenie oblastnyh srednemasshtabnyh pochvennyh kart Nechernozem'ja s pokazom struktury pochvennogo pokrova (rekomendacii), Moscow, 1990, 80 p.
15. Urusevskaja I.S. Geografija pochv i pochvenno-geograficheskoe rajonirovanie Nechernozemnoj zony RSFSR, Moscow, 1991.
16. Chistov S.V., Koroljuk T.V., Sorokina N.P., Sventjek Ju.V. Izuchenie neodnorodnosti pochvennogo pokrova po rezul'tatam cifrovoj obrabotki materialov mnogozonal'noj skanernoj s’emki, Moscow University Soil Science Bulletin, Ser. 5, geografija. 1997, No. 3, pp. 46–49.
17. Korolyuk T.V., Shcherbenko E.V. Compiling soil maps on the basis of remotely-sensed data digital processing: soil interpretation, Int. J. Remote Sensing. 1994, Vol. 15, No. 7, pp. 1379–1400.
