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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, 2017, Vol. 14, No. 5, pp. 149-160

Management of sowing time according to Earth remote sensing data

I.M. Mikhailenko 1 , V.N. Timoshin 1 
1 Agrophysical Research Institute, Saint Petersburg, Russia
Accepted: 25.09.2017
DOI: 10.21046/2070-7401-2017-14-5-149-160
Scientifically-based methodical recommendations for the most important decision taken by agronomic services, i.e. decisions, when to start spring sowing, are presented. For this purpose, Earth remote sensing satellite data (NOAA, MetOp and MODIS: satellites EOS-Aqua, Terra) on temperature and humidity of the top soil and ground-based measurements of these parameters at meteorological points are used. The decision is taken on the basis of a criterion, which uses forecasts for seed germination as an indicator. To build up such a forecast, a dynamic model of temperature and humidity of the top soil and a model of germination index are used. High accuracy of temperature and soil moisture estimation and prediction is achieved by using the optimal filtering algorithm, which is realized by combining terrestrial measurements and remote sensing data. Due to this algorithm, the standard error of the estimation of soil temperature and soil humidity is reduced to ±5%. Moreover, the optimal estimates of temperature and humidity serve as initial conditions for predicting the criterion of making the decision on sowing time in spring.
Keywords: decision on sowing time, remote sensing data of the Earth, mathematical models, optimal estimations, indicator of crop germination
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