Features of Pasture Land Management and Monitoring Using Remote Sensing Materials
Abstract
Land resources play an important role in the development of Kazakhstan’s economy because they are used in the production of agricultural products and have a significant market value. Development and balanced management of agriculture are one of the most important problems of the present time in the context of the agro-industrial policy of Kazakhstan.
The article analyzes the usage status of remote sensing technologies for the benefit of the agribusiness and considers and analyzes the application of remote sensing systems using space imaging in solving problems of monitoring pasture lands. The authors highlight the purpose of remote sensing methods for monitoring agricultural land, their potential advantages, and effectiveness, as well as consider the problems and prospects of using satellite data for solving agribusiness problems.
References
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[2] Bakinova, T.A., et al. 2019. Information Support of Monitoring as a Tool of Ecological Optimization of Agricultural Land Use. Journal of Environmental Management and Tourism, 10(1): 195-201.
[3] Bekmukhamedov, N. 2019. Methods to assess the degree of anthropogenic uncertainty of pasture territories in the Republic of Kazakhstan. Paper presented at the International Conference "Days of space in Kazakhstan: Baikonur – the cradle of world cosmonautics", November 12–13, in Nur-Sultan, Kazakhstan. Available at: https://www.gharysh.kz/spacedays2019presentation/ (in Russian)
[4] Boryan, C., Yang, Z., Mueller, R., Craig, M. 2011. Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, cropland data layer program. Geocarto International, 26: 341-358.
[5] Bulavitsky, V.F., Zhukova, N.V. 2016. Photogrammetry and remote sensing of the territory. Khabarovsk: TOGU Publishing House, 129 p. (in Russian)
[6] Butrova, E.V., Medennikov, V.I. 2019. The System of Evaluation Principles for the Economic Effects of Earth Remote Sensing Data Application for Solution of the Problems in Various Economy Branches. Journal of Environmental Management and Tourism, 10(5): 1105-1111.
[7] Chernov, A.V. 2010. Monitoring using Earth remote sensing and regional management practices. Earth from Space, 7: 19-27. (in Russian)
[8] Franke, J., Menz, G. 2007. Multi-temporal wheat disease detection by multi-spectral remote sensing. Precision Agriculture, 8: 161–172.
[9] Fritz, S., et al. 2018. A comparison of global agricultural monitoring systems and current gaps. Agricultural Systems, 168: 258-272.
[10] Gitelson, A.A., Kaufman, Y.J., Stark, R., and Rundquist, D. 2002. Novel algorithms for remote estimation of vegetation fraction. Remote Sensing of Environment, 80: 147-155.
[11] Huang, Y., et al. 2018. Agricultural remote sensing big data. Management and Applications Journal of Integrative Agriculture, 17(9): 1915-1931.
[12] Karpova, L.A. 2016. Review of Russian and foreign experience in using remote sensing data for sustainable development of agricultural territories. Interexpo Geo-Siberia, 9: 148-151. (in Russian)
[13] Kazakov, M., et al. 2018. System Diagnostics and Monitoring of Socio-Economic and Tourist Potential of Peripheral Territories of the Region. Journal of Environmental Management and Tourism, 9(2): 283-290.
[14] Kurmasheva, A. 2019. Application of Earth remote sensing methods in the analysis of the pasture lands status in the Republic of Kazakhstan. Paper presented at the International Conference "Days of space in Kazakhstan: Baikonur – the cradle of world cosmonautics", November 12–13, in Nur-Sultan, Kazakhstan. Available at: https://www.gharysh.kz/spacedays2019presentation/ (in Russian)
[15] Pastorius, C. 2013. Law and policy in the global space industry's lift-off. Barry Law Review, 19(1): 201-247.
[16] Savinykh, V.P., and Tsvetkov, V.Ya. 2001. Geoinformation analysis of remote sensing data. Moscow: Kartgeocenter-Geodesizdat, 228 p. (in Russian)
[17] UN General Assembly Resolution 41/65. 03.12.1986. Principles Relating to Remote Sensing of the Earth from Outer Space. Available at: https://undocs.org/ru/A/RES/41/65
[18] Vancutsem, C., Marinho, E., Kayitakire, F., See, L., and Fritz, S. 2012. Harmonizing and combining existing land cover/land use datasets for cropland area monitoring at the African continental scale. Remote Sensing, 5: 19-41.
[19] Vibhute, A.D., and Gawali, B.W. 2013. Analysis and modeling of agricultural land use using Remote Sensing and Geographic Information System: a Review. International Journal of Engineering Research and Applications (IJERA), 3(3): 81-91.
[20] Whitcraft, A.K., Becker-Reshef, I., Killough, B.D., and Justice, C.O. 2015. Meeting Earth Observation Requirements for Global Agricultural Monitoring: An Evaluation of the Revisit Capabilities of Current and Planned Moderate Resolution Optical Earth Observing Missions. Remote Sensing, 7: 1482–1503.
[21] Wójtowicz, M., Wójtowicz, A., and Piekarczyk, J. 2016. Application of remote sensing methods in agriculture. Communications in Biometry and Crop Science, 11: 31–50.
[22] Zakarin, E.A., et al. 1999. Methods of remote sensing in agriculture of Kazakhstan. Almaty: Galym, 175 p. (in Russian)
[23] Zhilenev, M.Yu. 2009. Review of the application of multispectral Earth remote sensing data and their combinations in digital processing. Geomatics, 3: 56-64. (in Russian)
[24] Zhukov, V.D. 2016. Remote sensing methods in land use planning and control. Krasnodar: Kuban State Agrarian University, 90 p. (in Russian)
Published
2020-08-30
How to Cite
KALDYBEKOV, Azamat; BEKTANOV, Bolatbek; RSYMBETOV, Bekzat.
Features of Pasture Land Management and Monitoring Using Remote Sensing Materials.
Journal of Environmental Management and Tourism, [S.l.], v. 11, n. 5, p. 1269-1276, aug. 2020.
ISSN 2068-7729.
Available at: <https://journals.aserspublishing.eu/jemt/article/view/5483>. Date accessed: 25 apr. 2024.
doi: https://doi.org/10.14505//jemt.v11.5(45).24.
Section
Article
Copyright© 2023 The Author(s). Published by ASERS Publishing 2023. This is an open access article distributed under the terms of CC-BY 4.0 license.