ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 6, pp. 308-314

The first results of 2021 agricultural micro-census data control using satellite monitoring tools

P.V. Denisov 1, 2 , K.A. Troshko 1, 2 , A.Yu. Poletskaya 1, 2 , N.A. Gogacheva 3 , A.V. Lennik 3 , E.A. Loupian 1 , A.A. Antoshkin 1, 2 , A.V. Kashnitskii 1 , D.A. Kobets 1 , D.E. Plotnikov 1 , A.A. Proshin 1 , V.A. Tolpin 1 
1 Space Research Institute RAS, Moscow, Russia
2 OOO Space Research Institute for the Earth, Moscow, Russia
3 Federal State Statistics Service, Moscow, Russia
Accepted: 16.12.2022
DOI: 10.21046/2070-7401-2022-19-6-308-314
In August 2021 an agricultural micro-census was carried out in Russia. A Technology of agricultural micro-census data control using satellite monitoring tools was developed for verification of statistical information about agricultural land (arable land, fallow land, hayfields and pastures) area. The article provides brief information about the components of the Technology, the phases of its creation and application. The first results of 2021 micro-census data control, the main reasons of data discrepancy and examples of possible errors in the micro-census data are discussed. In general, the developed Technology showed the effectiveness for verification of statistical data about the area of arable land and total crop area. So, the developed instrument can be used for these characteristics control in the frame of subsequent all-Russian agricultural censuses and annual federal statistical observations.
Keywords: agricultural micro-census, agricultural land, data control, Earth observation satellite systems, remote sensing
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References:

  1. Denisov P. V., Troshko K. A., Loupian E. A., Tolpin V. A., Potential and experience of Vega-PRO information system use for monitoring of agricultural lands, Vychislitel’nye tekhnologii, 2022, Vol. 27, No. 3, pp. 66–83 (in Russian), DOI: 10.25743/ICT.2022.27.3.006.
  2. Kashnitskii A. V., Burtsev M. A., Proshin A. A., Technology to create cloud-free composites from Sentinel-2 satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, Vol. 19, No. 5, pp. 76–85 (in Russian), DOI: 10.21046/2070-7401-2022-19-5-76-85.
  3. Loupian E. A., Proshin A. A., Burtsev M. A., Kashnitskii A. V., Balashov I. V., Bartalev S. A., Konstantinova A. M., Kobets D. A., Mazurov A. A., Marchenkov V. V., Matveev A. M., Radchenko M. V., Sychugov I. G., Tolpin V. A., Uvarov I. A., Experience of development and operation of the IKI-Monitoring center for collective use of systems for archiving, processing and analyzing satellite data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 3, pp. 151–170 (in Russian), DOI: 10.21046/2070-7401-2019-16-3-151-170.
  4. Plotnikov D. E., Bartalev S. A., Loupian E. A., Tolpin V. A., Accuracy assessment for winter crops mapping in spring-summer growing season with MODIS data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 4, pp. 132–145 (in Russian), DOI: 10.21046/2070-7401-2017-14-4-132-145.
  5. Bartalev S. A., Plotnikov D. E., Loupian E. A., Mapping of arable land in Russia using multiyear time series of MODIS data and the LAGMA classification technique, Remote Sensing Letters, 2016, Vol. 7, No. 3, pp. 269–278, DOI: 10.1080/2150704X.2015.1130874.