Published in Scientific Papers. Series E. Land Reclamation, Earth Observation & Surveying, Environmental Engineering, Vol. XIV
Written by Mihai IVANOVICI, Maria ȘTEFAN, Angel CAȚARON, Adrian GHINEA, Gheorghe OLTEANU
It is known that meteorological parameters, among others, are highly determinant for the growth of the agricultural crops. On the other hand, vegetation indices computed on remote sensing data are widely-used for crop monitoring. In this paper we focus on temperature, one of the determinant meteorological parameters, and the Normalized Difference Vegetation Index (NDVI), the most used vegetation index. We use temperature and NDVI time series, the latter one computed based on Copernicus data. Based on the hypothesis that effect accumulations of temperature in time determine the plant age and growth and, implicitly, its vegetation status, we study the influence of temperature on NDVI and attempt to model it. We present a use case for the monitoring of two potato crops during the 2023 and 2024 seasons in Braşov area, Romania and formulate the conclusions.
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