Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 4, pp. 275-280
Remote sensing of 2017 winter crops in the Russian Federation
S.A. Bartalev
1 , E.S. Elkina
1 , E.A. Loupian
1 , D.E. Plotnikov
1 , V.A. Tolpin
1 1 Space Research Institute RAS, Moscow, Russia
Accepted: 31.08.2017
DOI: 10.21046/2070-7401-2017-14-4-275-280
The purpose of the article is to give an overview of winter crop conditions in Russia during the 2017 vegetation season. The season is characterized by relatively cold and rainy spring, which caused a winter crop development delay up to 3 weeks in most wheat-productive regions (except the south of the European part of Russia). Much attention is given to comparison of differences in winter crop development in different federal districts and to the analysis of its vegetation dynamics throughout the season. The paper shows that the shift of the season was offset by the follow-up weather conditions and does not adversely impact the overall winter crop conditions in the country.
The satellite-based monitoring system VEGA was used as a data source. VEGA automatically calculates NDVI (normalized difference vegetation index) values for winter crop fields (using a seasonally updated winter crop maps) and aggregates NDVI values on a regional level, which gives an opportunity to compare the current values with the multiyear statistical mean value. Crop condition and yield assessments in this work are based on NDVI derived indicators, such as NDVI deviation from the multiyear mean (for the chosen region and the type of crop) and the difference between NDVI maximum values for the current year and for the multiyear mean. The analysis shows, that this year’s winter crops productivity indicators are much higher than multiyear mean and even higher in some regions than productivity indicators for year 2016, which was of record yield.
Keywords: winter crops, satellite-based monitoring, remote sensing, yield assessment, crop status assessment, Earth observations, NDVI, MODIS
Full textReferences:
- Loupian E.A., Savin I.Ju., Bartalev S.A., Tolpin V.A., Balashov I.V., Plotnikov D.E., Sputnikovyi servis monitoringa sostoyaniya rastitel'nosti “VEGA” (Satellite service for vegetation monitoring VEGA), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 1, pp. 190–198.
- Loupian E.A., Proshin A.A., Burcev M.A., Balashov I.V., Bartalev S.A., Efremov V.Yu., Kashnickij A.V., Mazurov A.A., Matveev A.M., Sudneva O.A., Sychugov I.G., Tolpin V.A., Uvarov I.A., Tsentr kollektivnogo pol'zovaniya sistemami arkhivatsii, obrabotki i analiza sputnikovykh dannykh IKI RAN dlya resheniya zadach izucheniya i monitoringa okruzhayushchei sredy (IKI center for collective use of satellite data archiving, processing and analysis systems aimed at solving the problems of environmental study and monitoring), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 5, pp. 263–284.
- Loupian E.A., Bartalev S.A., Krasheninnikova Yu.S., Plotnikov D.E., Tolpin V.A., Nablyudenie rannego razvitiya ozimykh kul'tur v yuzhnykh regionakh evropeiskoi chasti Rossii vesnoi 2017 goda na osnove dannykh distantsionnogo monitoringa (Observation of early development of winter crops in spring 2017 in southern regions of Russia based on remote sensing data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 2, pp. 268–272. DOI: 10.21046/2070-7401-2017-14-2-268-272.
- Bartalev S.A., Egorov V.A., Loupian E.A., Plotnikov D.E., Uvarov I.A., Raspoznavanie pakhotnykh zemel' na osnove mnogoletnikh sputnikovykh dannykh spektroradiometra MODIS i lokal'no-adaptivnoi klassifikatsii (Recognition of arable lands using multi-annual satellite data from spectroradiometer MODIS and locally adaptive supervised classification), Komp'yuternaya optika, Samara, ISOI RAN, 2011, Vol. 35, No. 1, pp. 103–116.
- Tolpin V.A., Loupian E.A., Bartalev S.A., Plotnikov D.E., Matveev A.M., Vozmozhnosti analiza sostoyaniya sel'skokhozyaistvennoi rastitel'nosti s ispol'zovaniem sputnikovogo servisa “VEGA” (Possibilities of agricultural vegetation condition analysis with the “VEGA” satellite service), Optika atmosfery i okeana, 2014, Vol. 27, No. 7 (306), pp. 581–586.
- Eroshenko F.V., Bartalev S.A., Storchak I.G., Plotnikov D.E., Vozmozhnosti distantsionnoi otsenki urozhainosti ozimoi pshenitsy na osnove vegetatsionnogo indeksa fotosinteticheskogo potentsiala (The possibility of winter wheat yield estimation based on vegetation index of photosynthetic potential derived from remote sensing data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2016, Vol. 13, No. 4, pp. 99–112. DOI: 10.21046/2070-7401-2016-13-4-99-112.
- Eroshenko F.V, Cherednichenko I.G., Regressionnye modeli otsenki urozhainosti ozimoi pshenitsy v Stavropol'skom krae s ispol'zovaniem NDVI (Regression models for estimating the yield of winter wheat in the Stavropol region using NDVI), Byulleten' Stavropol'skogo nauchno-issledovatel'skogo instituta sel'skogo khozyaistva, 2013, No. 5, pp. 58–64.
- Plotnikov D.E., Bartalev S.A., Hvostikov S.A., Metod iterativnoi ekspansii obuchayushchei vyborki i ego primenenie dlya raspoznavaniya ozimykh kul'tur po sputnikovym dannym (Method of iterative expansion of the training set for the recognition of winter crops on satellite data), Odinnadtsataya vserossiiskaya otkrytaya konferentsiya “Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa” (5th All-Russia Conference “Current problems in remote sensing of the Earth from space”), Moscow, IKI RAN, 11-15 th November 2013. Proc. Conf., 2013, p. 346.
- Plotnikov D.E., Bartalev S.A., Loupian E.A., Metod detektirovaniya letne-osennikh vskhodov ozimykh kul'tur po dannym radiometra MODIS (Method of detecting the summer-autumn germination of winter crops accordingto the MODIS radiometer), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2008, Vol. 2, pp. 322–330.
- Plotnikov D.E., Bartalev S.A., Loupian E.A., Tolpin V.A., Otsenka tochnosti vyyavleniya posevov ozimykh kul'tur v vesenne-letnii period vegetatsii po dannym pribora MODIS (Accuracy assessment of winter crops detecting in the spring-summer vegetation period according to the MODIS radiometer), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 4, pp. 132–145.