ALL-RUSSIA OPEN ANNUAL CONFERENCES ON
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE
Principal physics, methods and techniques for monitoring the environment, potentially dangerous phenomena and objects
рус
Proceedings of the 16th Conference (November 12-16, 2018, Moscow, Russia)
Operational Solution of Space Monitoring of Grain Crops
in South Kazakhstan on the Basis of Data of
Sentinel-2, Landsat-8, PlanetScope
Natalya N. Karabkina, Nurlan E. Bekmuhamedov, Olga V. Dolbnya, Aset A. Arystanov, Ainur S. Aysarova, Ranida Arystanova, Rekhangul A. Kurbanova, Rashid T. Iskakov
National Centre for Space Research and Technology, Almaty, Kazakhstan
nkarabkina@mail.ru
DOI 10.21046/rorse2018.321
The paper discusses the methodological basis for solving the tasks of space monitoring of grain crops in South Kazakhstan, including the recognition of the sowing mask for winter and early spring grain crops, estimation of the time and area for sowing and harvesting crops, condition and yield of grain crops. The technological scheme for the preparation of operational weekly information provides for the use of a combination of satellite data Sentinel-2, Landsat-8, PlanetScope, depending on the size and accuracy of the determination of crop boundaries. To achieve high reliability of satellite information technology provides for the analysis taking into account the prevailing hydrothermal conditions, route survey data, long-term statistical information on the areas of sowing and yield of grain crops. The results of space monitoring are of interest for various agricultural structures, insurance companies, banking structures, agricultural specialists.
Keywords: remote sensing, Sentinel-2, Landsat-8, PlanetScope, grain mask recognition, vegetation indices, condition and yield of grain crops, agrometeorological conditions, agriculture
References: - [1] Maxim A. Altyntsev. Accuracy Assessment of Calculated Correlation Coefficients of Tasseled Cap Transformation for Formosat-2 Imagery, Bulletin of the Siberian State University of Geosystems and Technologies,2011, Novosibirsk, pp. 67-73. (In Russian).
- [2] Terekhin E. Informational content of spectral vegetation indices for decoding agricultural vegetation, Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, 2012, 9(4), pp. 243-248.
- (In Russian).
- [3] Scientific and applied reference book on agroclimatic resources of the USSR. Series 2, part 2, issue 18. 1992, Kazakhstan, Almaty. (In Russian). [4] Sown area and crop yields in 2013-2017 in South Kazakhstan, Zhambyl, Almaty, Kyzylorda regions, Statistics Department of the South Kazakhstan, Zhambyl, Almaty regions of the Ministry of National Economy of the Republic of Kazakhstan. Collection 4 - agriculture: «Statistics of agriculture, forestry, hunting and fisheries», Kazakhstan, Astana. (In Russian).
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Section 6. Information systems for working with remote monitoring data
321-328