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Information Content of Spectral Vegetation Indices for Assessing the Weed Infestation of Crops Using Ground-Based and Satellite Data / T. I. Pisman, M. G. Erunova, I. Y. Botvich [et al.] // Izv. Atmos. Ocean. Phys. - 2021. - Vol. 57, Is. 9. - P1188-1197, DOI 10.1134/S0001433821090577. - Cited References:32 . - ISSN 0001-4338. - ISSN 1555-628X

РУБ Meteorology & Atmospheric Sciences + Oceanography
Рубрики:
DIFFERENTIATION
REFLECTANCE
Кл.слова (ненормированные):
vegetation indices -- PlanetScope -- ground-based spectrometry -- geobotanical -- studies -- wheat crops -- Krasnoyarsk krai
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.

WOS
Держатели документа:
Russian Acad Sci, Inst Biophys, Siberian Branch, Krasnoyarsk, Russia.
Russian Acad Sci, Fed Res Ctr, Siberian Branch, Krasnoyarsk Sci Ctr, Krasnoyarsk, Russia.
Russian Acad Sci, Fed Res Ctr, Krasnoyarsk Sci Res Inst Agr, Siberian Branch,Krasnoyarsk Sci Ctr, Krasnoyarsk, Russia.

Доп.точки доступа:
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.

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Analysis of polarization characteristics of plant canopies using ground-based remote sensing measurements [Text] / A. F. Sid'ko [et al.] // J. Quant. Spectrosc. Radiat. Transf. - 2014. - Vol. 144. - P117-122, DOI 10.1016/j.jqsrt.2014.03.031. - Cited References: 26 . - ISSN 0022-4073. - ISSN 1879-1352

РУБ Spectroscopy
Рубрики:
LINEAR-POLARIZATION
   AGRICULTURAL CROPS
   WHEAT CANOPIES
   LIGHT
   REFLECTANCE
   VEGETATION
Кл.слова (ненормированные):
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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Держатели документа:
[Sid'ko, A. F.
Botvich, I. Yu.
Pisman, T. I.
Shevyrnogov, A. P.] Siberian Fed Univ, RAS, Siberian Branch, Inst Biophys, Krasnoyarsk, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Sid'ko, A.F.; Botvich, I.Y.; Pisman, T.I.; Shevyrnogov, A.P.

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