Evaluating the Influence of Missing Data from the Crop Vegetation Index Time Series on Copernicus HR-VPP Phenological Products
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Date
2025-06-23
Authors
Valero Jorge, AlexeyCasterad Seral, María Auxiliadora
Alcalá, José-Tomás
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Publisher
MDPI
Typology
texto , contribución de congreso , actas de congreso , comunicación de congresoAbstract
Phenological parameters extracted from time series (TS) of spectral indices are essential to characterizing crops. However, the lack of data in the TS can affect their accuracy. The Copernicus Land Monitoring Service (CLMS) provides these parameters and their temporal quality. This paper evaluates the impact of missing vegetation index data on phenological parameters, namely, SOS, EOS, and MAX, for extensive arable crop between 2018 and 2023. The TSGenerator package was developed to download, process, and analyze the data. We used 252 images from the BIOPAR-VI module, 6 phenology parameters, and 2025 plots of barley and maize in Monegros and Zaidín, Spain. In barley, SOS and MAX showed 42.9% and 40.9% of missing data, while in maize, SOS and EOS showed 36.6% and 41.0%. The correlation between the Copernicus VPP quality parameter and the proposed one was r = 0.89 for barley and r = 0.74 for maize. This study advances the understanding of the effect of missing data on SOS, EOS, and MAX.
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Bibliographic citation
Valero-Jorge, A., Casterad, M. A., & Alcalá, J.-T. (2025). Evaluating the Influence of Missing Data from the Crop Vegetation Index Time Series on Copernicus HR-VPP Phenological Products. Engineering Proceedings, 94(1). https://doi.org/10.3390/engproc2025094004
AGROVOC subjects
FenologíaImagen multiespectral
Teledetección
Datos
Análisis de series cronológicas
Sponsorship
Este trabajo forman parte del proyecto LAIKcA, PID2021-124029OR-I00, financiado por el MICIU/AEI/ 10.13039/501100011033 y el FEDER/UE.