Abstract
Based on the fuzzy analysis of satellite monitoring data, the annual dynamics of the vegetation index for the selected crop area is investigated by means of MODIS images (LPDAAC – the Land Processes Distributed Active Archive Center). To reconstruct and predict the weakly structured vegetation index time series, the fuzzy models are proposed, compiled taking into account the analysis of internal connections of the first and second orders, which are presented in the form of fuzzy relations. The proposed models were investigated for adequacy and suitability from the point of view of the analysis of the peculiarities of the intra-annual mean annual dynamics of the index, typical for the cultivated area. On the basis of the proposed approach, the results of the study of long-term dynamics of vegetation indices can be used for a complex analysis of the dynamics of vegetation cover, including modeling and forecasting the efficiency and productivity of agricultural crops.
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Aliyev, E., Rzayev, R., Salmanov, F. (2021). Analysis of the Vegetation Index Dynamics on the Base of Fuzzy Time Series Model. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-030-80126-7_2
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DOI: https://doi.org/10.1007/978-3-030-80126-7_2
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