Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites
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Otros documentos de la autoría: Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Martínez Sotoca, José; Mollineda, Ramón A.; Moreno, Jose; Pla, Filiberto
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Título
Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product CompositesAutoría
Fecha de publicación
2020-09-24Editor
Institute of Electrical and Electronics EngineersISSN
1939-1404Cita bibliográfica
IBAÑEZ, Damian, et al. Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, vol. 13, p. 5439-5454.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9195119Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The increasing availability of remote sensing data
raises important challenges in terms of operational data provision
and spatial coverage for conducting global studies and analyses. In
this regard, existing ... [+]
The increasing availability of remote sensing data
raises important challenges in terms of operational data provision
and spatial coverage for conducting global studies and analyses. In
this regard, existing multitemporal mosaicing techniques are generally limited to producing spectral image composites without considering the particular features of higher-level biophysical and other
derived products, such as those provided by the Sentinel-3 (S3) and
Fluorescence Explorer (FLEX) tandem missions. To relieve these
limitations, this article proposes a novel multitemporal mosaicing
algorithm specially designed for operational S3-derived products
and also studies its applicability within the FLEX mission context.
Specifically, we design a new operational methodology to automatically produce multitemporal mosaics from derived S3/FLEX
products with the objective of facilitating the automatic processing
of high-level data products, where weekly, monthly, seasonal, or
annual biophysical mosaics can be generated by means of four
processes proposed in this work: 1) operational data acquisition;
2) spatial mosaicing and rearrangement; 3) temporal compositing;
and 4) confidence measures. The experimental part of the work
tests the consistency of the proposed framework over different S3
product collections while showing its advantages with respect to
other standard mosaicing alternatives. The source codes of this
work will be made available for reproducible research. [-]
Publicado en
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 13, 2020Proyecto de investigación
Ministerio de Ciencia, Innovación y Universidades, under Grant RTI2018-098651-B-C54 and in part by Generalitat Valenciana under Grant GV/2020/167.Derechos de acceso
info:eu-repo/semantics/openAccess
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