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Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Pisman, T., I, Erunova M. G., Botvich, I. Yu, Emelyanov, D., V, Kononova N. A., Bobrovsky, A., V, Kryuchkov A. A., Shpedt A. A., Shevyrnogov A. P.
Заглавие : Information Content of Spectral Vegetation Indices for Assessing the Weed Infestation of Crops Using Ground-Based and Satellite Data
Колич.характеристики :10 с
Место публикации : Izv. Atmos. Ocean. Phys.: MAIK NAUKA/INTERPERIODICA/SPRINGER, 2021. - Vol. 57, Is. 9. - С. 1188-1197. - ISSN 0001-4338, DOI 10.1134/S0001433821090577. - ISSN 1555-628X(eISSN)
Примечания : Cited References:32
Предметные рубрики: DIFFERENTIATION
REFLECTANCE
Аннотация: This paper presents the results of a study assessing the degree of weed infestation of wheat crops. They are obtained using optical ground-based and satellite spectral data with a 3-m spatial resolution from PlanetScope Dove satellites for 2019. The vegetation indices, including the normalized difference vegetation index (NDVI), the relative chlorophyll index (Chlorophyll Index Green-ClGreen or GCI), the modified soil-adjusted vegetation index (MSAVI2), and the visible atmospherically resistant index (VARI) are used in the interpretation of ground-based spectrometric and space images. This paper indicates the possibility of assessing the degree of weed infestation of agricultural fields. The higher the weed infestation, the lower the index values. The dynamics of VARI is found to be different from the dynamics of NDVI, ClGreen, and MSAVI2 during the growing season. The strong correlation between NDVI, ClGreen, and MSAVI2 and the weak correlation between VARI and other indices are observed. The possibility of identifying weedy sites in the agricultural fields is shown using the spatial distribution map of ClGreen dated August 2, 2019.
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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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