Mapping bee forage trees

Authors

DOI:

https://doi.org/10.31548/zemleustriy2018.04.08

Abstract

The possibility of using the data of remote sensing of the Earth for identification of the nectar and dustpans of perennial plants as a forage base of beekeeping is discussed. The key components for achieving the research objectives are identified and structured in the functional model. The thematic processing of the data of remote sensing of the Earth was carried out and the optimum period of identification of honey-bearing trees of the forage base of beekeeping was determined.

Keywords: Earth remote sensing data, beekeeping feed base, classification of images

Author Biographies

  • A. Moskalenko, National University of Life and Environmental Sciences of Ukraine
    Associate Professor of the Department of Geoinformatics and Earth Aerospace Studies
  • I. Domina, National University of Life and Environmental Sciences of Ukraine
    student of MS

References

Giers O., Myroniuk V.,& Kutya, M. (2012) Rozpiznavannya lisoparkovykh landshaftiv zelenoyi zony m. Kyiva za danymy DZZ (Forest park identification of Kyiv Green zone using remote sensing data) Scientific reports of NULES of Ukraine, 7 (36). Retrieved from http://nd.nubip.edu.ua/2012_7/12goa.pdf

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 remote sensing data and vegetation index]. Journal of Geodesy and Cartography, 6, 16-20.

Conrad C., Fritsch S., Rocker G., Dech S. (2010) Per-field irrigated crop classification in arid central Asia using SPOT and ASTER data. Remote Sens, 2, 1035-1056.

https://doi.org/10.3390/rs2041035

Verhulst, N., B. Govaerts, K.D. Sayre, J. Deckers, L. Dendooven. (2009). Using NDVI and soil quality analysis to assess influence of agronomic management on within-plot spatial variability and factors limiting production. Plant and Soil, 317: 41-59.

https://doi.org/10.1007/s11104-008-9787-x

Adgaba, Nuru; Alghamdi, Ahmed; Sammoud, Rachid; Shenkute, Awraris; Tadesse, Yilma; Ansaria, Mahammad J.; Sharma,Deepak; Hepburnc, Colleen. (2017) Determining spatio-temporal distribution of bee forage species of Al-Baha region based on ground inventorying supported with GIS applications and Remote Sensed Satellite Image analysis. Saudi Journal of Biological Sciences, Vol: 24 Issue: 5: 1038-1044. doi:10.1016/j.sjbs.2017.01.009

https://doi.org/10.1016/j.sjbs.2017.01.009

Kokhan, S.S., Vostokov, A.B. (2009). Dystantsiyne zonduvannya Zemli: teoretychni osnovy [Remote sensing: the theoretical basics]. Kyiv, 511.

Cherkasova, A.I., Blonsʹka, V.M., Huba, P.O., Davydenko, I.K., Yatsun, O.M., Voznyy, P.A., Mukvych, N.V. (1989). Bdzhilʹnytstvo [Beekeping]. Retrieved from http://bee-home.ru/bdzhil-nytstvo-uk.html

Published

2019-01-28

Issue

Section

Monitoring and protection of land