Publications

Boumahdi, M; García-Pedrero, A; Lillo-Saavedra, M; Gonzalo-Martin, C (2025). A new benchmark for spatiotemporal fusion of Sentinel-2 and Sentinel-3 OLCI images. EARTH SCIENCE INFORMATICS, 18(2), 349.

Abstract
In Earth Observation, the use of multiple sensors has gained considerable attention as a tool to overcome the limitations inherent in individual data. Despite this, the operational lifespans of sensors are finite, creating an ongoing need to explore and integrate new sensors to sustain critical Earth Observation capabilities across diverse applications. Addressing this imperative, there is a need to establish a novel benchmark dataset featuring the integration of new sensors. In response, we present a new benchmark remote sensing dataset, making a significant contribution to the existing literature. This curated dataset leverages Sentinel-2 and Sentinel-3 OLCI, comprising more than 689 image pairs. It spans a wide range of temporal and spatial variations, capturing diverse landscapes, ecosystems, and weather conditions. Importantly, this dataset is publicly accessible, facilitating researchers in the development of more robust data fusion methods. Moreover, we conduct a comprehensive evaluation of widely used spatiotemporal fusion (STF) methods, conducting a detailed quantitative and qualitative comparison as an applicationof this dataset. The dataset is freely available at https://doi.org/10.5281/zenodo.14860220

DOI:
10.1007/s12145-025-01855-4

ISSN:
1865-0481