Evaluating the Influence of Missing Data From Crop Vegetation Index Time Series on Copernicus HR-VPP Phenological Products
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Date
2025
Authors
Valero Jorge, AlexeyCasterad Seral, María Auxiliadora
Alcalá, José Tomás
Journal Title
Journal ISSN
Volume Title
Publisher
Typology
Conference MaterialPoster
Abstract
Description
Keywords
Bibliographic citation
Valero, A. ; Casteras, A.; Alcalá, J.T. Evaluating the Influence of Missing Data From Crop Vegetation Index Time Series on Copernicus HR-VPP Phenological Products. International Conference on Advanced Remote Sensing (ICARS 2025), Barcelona, 26-28 de marzo de 2025
AGROVOC subjects
TeledetecciónFenología
Vegetación
Other field subjects
missing datatime series
crops
Sentinel-2
pheonological metrics
Sponsorship
This work is part of the LAIKcA project, R+D+i PID2021-124029OR-I00,
funded by MICIU/AEI/10.13039/501100011033 and FEDER/EU.
Evaluating the Influence of Missing Data From
the Crop Vegetation Index Time Series on
Copernicus HR-VPP Phenological Products
Alexey Valero-Jorge, Mª. Auxiliadora Casterad and José Tomás Alcalá 1 1 2
Introduction Materials
The Agricultural Parcels
Geographic Information
System allows for the
geographic identification of
crop parcels declared by
farmers.
Results
NDVI vegetation index
images.
QFLAG2 quality product:
eliminates noisy pixels.
Images of phenology
products: SOSD; MAXD
and EOSD.
R package developed as part
of the research for time series
processing of spectral data
related to vegetation
phenology [2].
The first author gratefully acknowledges grant PRE2022-102328 funded by
MICIU/AEI/10.13039/501100011033 and ESF+.