Abstract
The paper presents the model of interannual dynamics of the phytomass of plant communities, which was realized as an artificial neural network. The neural network was trained by the sequence of data based on NDVI indices and environmental climate factors. The plant communities of the tundra biome were taken as a specific modeling object (Kolguyev Island, Russia). The modeling results are presented and the influence of separate factors on the validity of the model is analyzed. The technique of solving the problem—modeling the phytomass dynamics of plant communities using ANN and NDVI—has quite a general character and can be employed for different natural climatic biomes.
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The research was conducted with the support of budget topic 0074-2019-0009.
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Mikhailov, V., Ponomarenko, M., Sobolevsky, V. (2021). Simulation of Phytomass Dynamics of Plant Communities Based on Artificial Neural Networks and NDVI. In: Ksibi, M., et al. Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (2nd Edition). EMCEI 2019. Environmental Science and Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-030-51210-1_211
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DOI: https://doi.org/10.1007/978-3-030-51210-1_211
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