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Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Valero-Jorge, AlexeyAuthorCasterad, Mª. AuxiliadoraAuthor

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June 30, 2025
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Proceedings Paper
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Evaluating the Influence of Missing Data from the Crop Vegetation Index Time Series on Copernicus HR-VPP Phenological Products

Publicated to: Engineering Proceedings. 94 (ICARS 2025) (1): 4-4 - 2025-06-23 94 (ICARS 2025)(1), DOI: 10.3390/engproc2025094004

Authors:

Valero-Jorge, A., Casterad, M. A., & Alcalá, J.-T.
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Affiliations

Departamento de Métodos Estadísticos, Instituto Universitario de Investigación en Matemáticas y Aplicaciones (IUMA), Universidad de Zaragoza, 50009 Zaragoza, Spain - Author
Departamento de Sistemas Agrícolas, Forestales y Medio Ambiente (Unidad Asociada a EEAD-CSIC Suelos y Riegos), Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), 50059 Zaragoza, Spain - Author

Los Monegros, España

Abstract

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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Keywords

Calidad de los datosFenologíaImágenes multiespectralesSeries temporalesTeledetección espacialZero hunger

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Engineering Proceedings, Q3 Agency Scopus (SJR), its regional focus and specialization in Industrial and Manufacturing Engineering, give it significant recognition in a specific niche of scientific knowledge at an international level.

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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-03-07:

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
    • Additionally, the work has been submitted to a journal classified as Diamond in relation to this type of editorial policy.
    • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: http://hdl.handle.net/10532/8126
    Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 2 - Zero hunger, with a probability of 71% according to the mBERT algorithm developed by Aurora University.
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    Leadership analysis of institutional authors

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Valero Jorge, Alexey) .

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    Awards linked to the item

    Este trabajo forma parte del proyecto LAIKcA, PID2021-124029OR-I00, financiado por MICIU/AEI/10.13039/501100011033 y FEDER/UE.
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