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, 2016, Vol. 13, No. 4, pp. 99-112

The possibility of winter wheat yield estimation based on vegetation index of photosynthetic potential derived from remote sensing data

F.V. Eroshenko 1 , S.A. Bartalev 2 , I.G. Storchak 1 , D.E. Plotnikov 2 
1 Stavropol Research Institute of Agriculture, Mikhajlovsk, Stavropolsky Krai, Russia
2 Space Research Institute RAS, Moscow, Russia
Accepted: 24.08.2016
DOI: 10.21046/2070-7401-2016-13-23-99-112
It is known that winter wheat yield correlates with various characteristics derived from NDVI intra-seasonal time-series, such as, e.g. average, maximum and integrated over the growing period values. Such relationships are established at different levels of geographical aggregations (municipal and federal regions, soil-climatic zones and etc.). However, for individual agricultural fields, this correlation could be not stable or low. This stimulates further researches aimed at design of Earth observation data derived metrics characterizing the crop yield formation process. In our research such metric was designed that involved knowledge on the crop production process mechanisms and assimilation of satellite remote sensing data in vegetation photosynthetic productivity indicators. In the paper we propose a new vegetation index of photosynthetic potential retrieved from remote sensing data and allowing to characterize the production processes of crops and to predict their yield. The results of the examination of the proposed indicator estimated on MODIS satellite data showed a fairly close correlation with the yield of winter wheat (the average determination coefficient is 0,80), which suggests a high level potential for assessing of the physiological status of crops and forecasting their productivity.
Keywords: remote sensing data, vegetation index of photosynthetic potential, winter wheat, yield
Full text

References:

  1. Andrianova Yu.E., Tarchevskii I.A., Khlorofill i produktivnost' rastenii (Chlorophyll and plant productivity), Moscow: Nauka, 2000, 135 p.
  2. Bartalev S.A., Egorov V.A., Lupyan 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 based on multi-year satellite data Spectroradiometer MODIS and locally adaptive classification), Komp'yuternaya optika, Samara: ISOI RAN, 2011, Vol. 35, No. 1, pp. 103–116.
  3. Bartalev S.A., Lupyan E.A., Neishtadt I.A., Savin I.Yu., Distantsionnaya otsenka parametrov sel'skokhozyaistvennykh zemel' po sputnikovym dannym spektroradiometra MODIS (Remote estimation of parameters of agricultural land from satellite data of MODIS), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2005, Vol. 2, No. 2, pp. 228–236.
  4. 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, No. 5, 2013, pp. 58–64.
  5. Eroshenko F.V., Opticheskie svoistva rastenii i otsenka ikh fiziologicheskogo sostoyaniya (Optical properties of plants and their physiological state), Byulleten' Stavropol'skogo nauchno-issledovatel'skogo instituta sel'skogo khozyaistva, 2014, No. 6, pp. 84–90.
  6. Eroshenko F.V., Osobennosti fotosinteticheskoi deyatel'nosti sortov ozimoi pshenitsy (Features of the photosynthetic activity of winter wheat varieties), Stavropol': Servisshkola, 2006, 200 p.
  7. Eroshenko F.V., Petrova L.N., Fotosinteticheskaya produktivnost' ozimoi pshenitsy (Photosynthetic productivity of winter wheat), Vestnik Rossiiskoi akademii sel'skokhozyaistvennykh nauk, 2010, No. 3, pp. 36–38.
  8. Kumakov V.A., Struktura fotosinteticheskogo potentsiala raznykh sortov yarovoi pshenitsy (Structure of the photosynthetic capacity of different varieties of spring wheat), Sel'skokhozyaistvennaya biologiya, 1968, Vol. 3, No. 3, pp. 362–368.
  9. Kussul' N.N., Kravchenko A.N., Skakun S.V., Adamenko T.I., Shelestov A.Yu., Kolotii A.V., Gripich Yu.A., Regressionnye modeli otsenki urozhainosti sel'skokhozyaistvennykh kul'tur po dannym MODIS (Regression models for yield estimation of agricultural crops according to the MODIS), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, Vol. 9, No. 1, pp. 95–107.
  10. Lobkov V.T., Napolova G.V., Sposob opredeleniya khlorofilla v rasteniyakh grechikhi, Patent RF, No. RU 2244916, 2003.
  11. Loupian E.A., Bartalev S.A., Savin I.Yu., Tekhnologii sputnikovogo monitoringa v sel'skom khozyaistve Rossii (Technologies of satellite monitoring in agriculture of Russia), Aerokosmicheskii kur'er, 2009, No. 6, pp. 47–49.
  12. Loupian E.A., Savin I.Yu., Bartalev S.A., Tolpin V.A., Balashov I.V., Plotnikov D.E., Sputnikovyi servis monitoringa sostoyaniya rastitel'nosti “Vega” (Satellite service for monitoring vegetation “VEGA”), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 1, pp. 190–198.
  13. Muratova N.R., Terekhov A.G., Opyt pyatiletnego operativnogo monitoringa sel'skokhozyaistvennykh ugodii Severnogo Kazakhstana s pomoshch'yu sputnikovykh dannykh (Experience five years of operational monitoring of agricultural lands of Northern Kazakhstan by means of satellite data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2007, Vol. 4, No. 2, pp. 277–283.
  14. Nichiporovich A.A., Fotosinteticheskaya deyatel'nost' rastenii v posevakh (Photosynthetic activity of plants in crops), Moscow: Izd-vo AN SSSR, 1961, 136 p.
  15. 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 according to the MODIS radiometer), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2008, No. 5, Vol. 2, pp. 322–330.
  16. Plotnikov D.E., Miklashevich T.S., Bartalev S.A., Vosstanovlenie vremennykh ryadov dannykh distantsionnykh izmerenii metodom polinomial'noi approksimatsii v skol'zyashchem okne peremennogo razmera (The restoration of the time-series data of remote measurements by the method of polynomial approximation in the sliding window variable size), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, Vol. 11, No. 2, pp. 103–110.
  17. Savin I.Yu., Bartalev S.A., Loupian E.A., Tolpin V.A., Khvostikov S.A., Prognozirovanie urozhainosti sel'skokhozyaistvennykh kul'tur na osnove sputnikovykh dannykh: vozmozhnosti i perspektivy (Forecasting crop yields based on satellite data: opportunities and prospects), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2010, Vol. 7, No. 3, pp. 275–285.
  18. Storchak I.G., Eroshenko F.V., Ispol'zovanie NDVI dlya otsenki produktivnosti ozimoi pshenitsy v Stavropol'skom krae (The use of NDVI to evaluate the productivity of winter wheat in the Stavropol region), Zemledelie, 2014, No. 7, pp. 12–15.
  19. Strashnaya A.I., Bartalev S.A., Maksimenkova T.A., Chub O.V., Tolpin V.A., Plotnikov D.E., Bogomolova N.A., Agrometeorologicheskaya otsenka sostoyaniya ozimykh zernovykh kul'tur v period prekrashcheniya vegetatsii s ispol'zovaniem nazemnykh i sputnikovykh dannykh na primere Privolzhskogo federal'nogo okruga (Agrometeorological assessment of winter grain crops during the period of cessation of vegetation using ground-based and satellite data on the example of Volga Federal district) Trudy gidrometeorologicheskogo nauchno-issledovatel'skogo tsentra Rossiiskoi Federatsii, No. 351, pp. 85–107.
  20. Shurkina A.I., Shevyrnogov A.P., Zorkina T.M., Issledovanie sovremennogo rastitel'nogo pokrova respubliki Khakasiya na osnove integratsii sputnikovykh i nazemnykh dannykh (A study of the present vegetation cover of the Khakassia Republic on the basis of integration of satellite and terrestrial data), Vestnik KrasGAU, 2007, No. 5, pp. 65–71.
  21. Becker-Reshef I., Vermote E., Lindeman M., Justice C., A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data, Remote Sensing of Environment, 2010, 114 (6), pp. 1312–1323.
  22. Deering D.W., Rouse J.W., Haas R.H., Schell J.A., Measuring “forage production” of grazing units from Landsat MSS data, Version 4.0, Proc. 10th Int. Symp. on Remote Sensing of Environment, Univ. Michigan, 1975, pp. 1169–1178.
  23. Vermote E.F., Vermeulen A., Atmospheric correction algorithm: spectral reflectances (MOD09), Algorithm Theoretical Background Document, 1999, 107 p. URL: http://modis.gsfc.nasa.gov/data/atbd/atbd_mod08.pdf.