Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites
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Other documents of the author: Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Martínez Sotoca, José; Mollineda, Ramón A.; Moreno, Jose; Pla, Filiberto
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comunitat-uji-handle3:10234/43643
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Title
Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product CompositesAuthor (s)
Date
2020-09-24Publisher
Institute of Electrical and Electronics EngineersISSN
1939-1404Bibliographic citation
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.Type
info:eu-repo/semantics/articlePublisher version
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9195119Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
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. [-]
Is part of
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 13, 2020Investigation project
Ministerio de Ciencia, Innovación y Universidades, under Grant RTI2018-098651-B-C54 and in part by Generalitat Valenciana under Grant GV/2020/167.Rights
info:eu-repo/semantics/openAccess
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