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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Sid'ko A.F., Botvich I.Y., Pisman T.I., Shevyrnogov A.P.
Заглавие : Analysis of polarization characteristics of plant canopies using ground-based remote sensing measurements
Колич.характеристики :6 с
Место публикации : J. Quant. Spectrosc. Radiat. Transf.: PERGAMON-ELSEVIER SCIENCE LTD, 2014. - Vol. 144. - С. 117-122. - ISSN 0022-4073, DOI 10.1016/j.jqsrt.2014.03.031. - ISSN 1879-1352
Примечания : Cited References: 26
Предметные рубрики: LINEAR-POLARIZATION
AGRICULTURAL CROPS
WHEAT CANOPIES
LIGHT
REFLECTANCE
VEGETATION
Ключевые слова (''Своб.индексиров.''): spectral brightness coefficients--degree of polarization--polarized component of spectral brightness coefficients--farm crop--coniferous and broadleaf forests
Аннотация: The paper presents results and analysis of a study on polarized characteristics of the reflectance factor of different plant canopies under field conditions, using optical remote sensing techniques. Polarization characteristics were recorded from the elevated work platform at heights of 10-18 m in June and July. Measurements were performed using a double-beam spectrophotometer with a polarized light filter attachment, within the spectral range from 400 to 820 nm. The viewing zenith angle was below 20 degree. Birch (Betila pubescens), pine (Pinus sylvestris L.), wheat (Triticum acstivum) [L.] crops, corn (Zea mays L ssp. mays) crops, and various grass canopies were used in this study. The following polarization characteristics were studied: the reflectance factor of the canopy with the polarizer adjusted to transmit the maximum and minimum amounts of light (R-max and R-min), polarized component of the reflectance factor (R-q), and the degree of polarization (P). Wheat, corn, and grass canopies have higher R-max and R-min values than forest plants. The R-q and P values are higher for the birch than for the pine within the wavelength range between 430 and 740 nm. The study shows that polarization characteristics of plant canopies may be used as an effective means of decoding remote sensing data. (C) 2014 Elsevier Ltd. All rights reserved.
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