Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites

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 multi-temporal mosaicing techniques are generally limited to produce 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 paper 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 multi-temporal mosaics from derived S3/FLEX products with the objective of facilitating the automatic processing of high-level data products where weakly, 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.

Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions

“…On the other hand, the existing synergies among the Copernicus programme and other missions (like FLEX) also motivate the development of high-level data products that take advantage of different instruments to refine, without additional costs, the operational products generated by the corresponding mission ground segments. Precisely, the growing development of advanced products for different Sentinel missions exemplifies this emerging trend [27]- [31]. Nevertheless, these and other relevant works available in the literature are mainly focused on the fusion of the data without considering the reliability of the distributed operational products among their objectives.…”