Bee forage mapping based on multispectral images Landsat 8

Authors

  • A. Moskalenko National University of Life and Environmental Sciences of Ukraine image/svg+xml

DOI:

https://doi.org/10.31548/zemleustriy2016.04.032

Abstract

Possibilities of bee forage identification and mapping based on multispectral images
have been shown in the research. Spectral brightness of bee forage has been
determined with the use of satellite images. The effectiveness of some methods
of image classification for mapping of bee forage is shown.
Keywords: bee forage, mapping, multispectral images, image classification.

Author Biography

  • A. Moskalenko, National University of Life and Environmental Sciences of Ukraine
    Candidate of Technical Sciences

References

Hrechka, H. M. Suchasnyy medozbir i yoho

vykorystannya bdzholynymy simyamy

[Modern nectar resourses and use of bees]:

https://sites.google.com/site/ukrainskaastepnaa/

ucenye-ob-ukrainskoj-stepnoj-porode-

pcel/sucasnij-medozbir-i-jogo-viko№

ristanna-bdzolinimi-sim-ami

Matvyets, A.H. (1990). Puty uluchshenyya

kormovoy bazы pchelovodstva v ahrotsenozakh

lesostepnoy zoni ukraynskoy SSR

[Ways to improve forage agrocenoses beekeeping

in the forest steppe zone Ukrainian

SSR]. Beekeeping, 19, 35-39.

Cherkasova, A.I., Blons’ka., V.M., Huba, P.O.,

Davydenko, I.K., Yatsun, O.M., Voznyy, P.A.,

Mukvych, N.V. (1989). Beekeeping, K., 304.

Giers, O. Myroniuk, V. Kutya, M. (2012). Rozpiznavannya

lisoparkovykh landshaftiv zelenoyi

zony m.Kyyeva za danymy DZZ [Forest

park identification of Kyiv green zone using

remote sensing data]. Scientific reports of the

National University of Life and Environmental

Sciences Ukraine, 7(36) –http://www.nbuv.

gov.ua/e-journals/Nd/2012_7/12goa.pdf

Hlitukha, D.V., Lakyda, P.I. (2014). Parametrychna

struktura derevostaniv za danymy

suputnykovykh znimkiv nadvysokoho prostorovoho

rozriznennya [Parametric structure

stands according to satellite images

of high spatial differentiation]. Balanced

Nature, 1, 32-36.

Myronyuk, V.V. (2015). Perspektyvy vykorystannya

k-NN metodu klasyfikatsiyi kosmichnykh

znimkiv dlya lisovoyi inventaryzatsiyi

Ukrayiny [Prospects of kNN method of

classification of satellite images for forest inventory

Ukraine]. Balanced Nature, 2, 9-15.

Kokhan, S.S. Moskalenko, A.A. (2011).

Osoblyvosti klasyfikatoriv zobrazhen’ pry

vyvchenni stanu silskohospodarskykh kultur

[Features classifications images in the

study of agricultural crops]. Life and Environmental

Sciences, 1-2, 198-204.

Kokhan, S.S. (2011). Zastosuvannya vehetatsiynykh

indeksiv na osnovi seriyi kosmichnykh

znimkiv IRS-1D LISS-III dlya vyznachennya

stanu posiviv silskohospodarskykh ku’tur

[Application of vegetation indexes derived

from satellite images IRS–1D LISS–III for determination

of crop status]. Space Science

and Technology , 17 (5), 58-63.

Slobodyanyk, M.P. (2014). Prohnozuvannya

vrozhaynosti sil’s’kohospodars’kykh kul’tur

za materialamy DZZ ta vehetatsiynymy indeksamy

[Forecasting crop yields based on

RS and vegetation index]. Journal of Geodesy

and Cartography, 6, 16-20.

Kokhan, S.S., Vostokov, A.B. (2009). Dystantsiyne

zonduvannya Zemli: teoretychni

osnovy [Remote sensing: the theoretical

basics]. Kyiv, 511.

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Published

2017-06-26

Issue

No. 4 (2016): Land management, cadastre and land monitoring

Section

Monitoring and protection of land

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