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 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.
Highlights
N OWADAYS, the unprecedented availability of the Copernicus open access data provides widespread opportunities to deal with current and future challenges as well as many important societal needs [1]
This work has presented a novel multitemporal mosaicing algorithm specially designed for operational S3 biophysical or other derived products within the context of the S3/FLEX tandem missions
The proposed framework has been defined according to four sequential stages/processes in order to generate consistent mosaics from derived S3 data products
Summary
N OWADAYS, the unprecedented availability of the Copernicus open access data provides widespread opportunities to deal with current and future challenges as well as many important societal needs [1]. Fine-grained land cover mapping [2]–[6], natural hazards discovery [7], [8], as well as environmental management and analysis [9]–[11] are some practical RS applications, where the open availability of the Copernicus data plays a fundamental role. The Copernicus program [12] is one of the most important EO programs, which aims at providing global monitoring information from space useful for environmental and security applications.
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