Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2010, Vol. 7, No. 1, pp. 299-309
Technological basis to retrieve quantitative parameters of forest
ecosystems using multispectral and hyperspectral airspace remote sensing data
T.V. Kondranin
1, V.V. Kozoderov
2, E.V. Dmitriev
3, O.Yu. Kazantsev
4, V.I. Bobylev
4, V.V. Borzyak
2, V.D. Egorov
3, V.P. Kamentsev
5, A.Yu Belyakov
5, S.B. Loginov
51 Moscow Institute for Physics and Technology (State University), 141700, 9, Institutskii per., Dolgoprudny, Moscow Region
2 M.V. Lomonosov Moscow State University, 119991, Moscow, GSP-1, 1 Vorobievy gory, MSU
3 Institute of Numerical Mathematics of Russian Academy of Sciences, 119333, Moscow,8 Gubkina str
4 NPO Lepton, Moscow, Zelenograd, 20 Proezd 4806, 5
5 Technological Park of Tver State University, 170100, Tver, 33 Zhelyabova str
Basic elements are described of technology of natural and anthropogenic objects pattern recognition and state parameters assessment for soil-vegetation cover using multispectral and hyperspectral airspace remote sensing data. Main attention is paid to comparison of data processing results for combined airphoto- and hyperspectral surveys and ground-based forest taxation data for a selected region. Higher quality is demonstrated of the gained information products of hyperspectral imagery processing as compared with the common-used approaches based on the well-known vegetation indices concept.
Keywords: multispectral and hyperspectral airspace imagery, data processing, object recognition, forest ecosystems, state parameters retrieval
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