Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2009. Issue.6. Vol.1. P. 81-87
Methods and preliminary results of coprocessing hyperspectral and
radar data for agriculture seeds
Б.М. Балтер
1, В.В. Егоров
1, А.П. Калинин
2, И.П. Родионова
3, М.В. Стальная
11 Институт космических исследований РАН
2 Институт проблем механики им. А.Ю.Ишлинского РАН
3 Институт химической физики им. Н.Н. Семенова РАН
The problems of coprocessing aviation hyperspectral and radar data as well as in situ measurements
for winter wheat are considered. The simi-empirical models for spectral reflectance coefficient (SRC)
and differential cross-sections (DCS) of winter wheat are given. The comparison of results predicted for
proposed CSR and DCS models and in situ data are carried out. Kalman filter formalism for the
assessment of the leaf area index (LAI) current values and DCS model parameters of winter wheat are
used.
Keywords: hyperspectrometer, synthetic aperture radar, spectral reflectance coefficient, differential cross-sections, leaf area index, Kalman filter
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