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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, 2020, Vol. 17, No. 4, pp. 61-72

Technology of joint analysis of Sentinel 1 interferometric coherence time series and vegetation index based on Sentinel 2 data for monitoring agricultural fields

T.N. Chimitdorzhiev 1, 2 , A.V. Dmitriev 1 , P.N. Dagurov 1 
1 Institute of Physical Materials Science SB RAS, Ulan-Ude, Russia
2 ISR “AEROCOSMOS”, Moscow, Russia
Accepted: 22.06.2020
DOI: 10.21046/2070-7401-2020-17-4-61-72
The paper presents the possibilities of joint use of radar images in C-band and multispectral optical images for monitoring agricultural fields by the example of a test site in the Republic of Buryatia. Time series of radar interferometric coherence data and images of vegetation index MSAVI were used to assess the dynamics of arable land and agricultural crops. Interferometric coherence was obtained from the Sentinel 1 satellite radar with a 12 days interval from 04.04.2019 to 25.10.2019. The vegetation index was calculated using Sentinel 2 multispectral images in cloudless weather. Cluster analysis of interferometric coherence images time series made it possible to identify three classes of fields: arable land in fallow period with several coherence minima during the change in the surface structure of the field, and agricultural fields with similar coherence dynamics during the growing season with two different 12-day periods of local minima during the sowing period. By analogy with coherence, the time series of MSAVI images was segmented by means of ISODATA clustering algorithm and using the «mask» of arable fields into three classes: arable land in fallow period and two classes of fields with maximum index values not exceeding 0.3 and 0.4 respectively. A comparative analysis of the coherence time series and vegetation index was performed based on data after May 22 to exclude the time of sowing with abnormal coherence values. A negative correlation of about –0.8 was found between the coherence values and the vegetation index for fields with agricultural crops after sowing and before harvesting. The results obtained make it possible to consider the technology for evaluating the interferometric coherence of agricultural fields as an alternative to the traditional analysis of the vegetation index dynamics for monitoring and evaluating the state of crops.
Keywords: interferometric coherence, vegetation index, time series, agricultural fields
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