The Swiss data cube, analysis ready data archive using earth observations of Switzerland

• Published in: Scientific data Vol. 8; no. 1; pp. 295 - 11
• Main Authors: Chatenoux, Bruno, Richard, Jean-Philippe, Small, David, Roeoesli, Claudia, Wingate, Vladimir, Poussin, Charlotte, Rodila, Denisa, Peduzzi, Pascal, Steinmeier, Charlotte, Ginzler, Christian, Psomas, Achileas, Schaepman, Michael E., Giuliani, Gregory
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 08.11.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 704/172; 706/648/697; Data Descriptor; Environmental changes; Environmental policy; Humanities and Social Sciences; Landsat; multidisciplinary; Science; Science (multidisciplinary); Sustainable development; Switzerland
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-021-01076-6

Since the opening of Earth Observation (EO) archives (USGS/NASA Landsat and EC/ESA Sentinels), large collections of EO data are freely available, offering scientists new possibilities to better understand and quantify environmental changes. Fully exploiting these satellite EO data will require new approaches for their acquisition, management, distribution, and analysis. Given rapid environmental changes and the emergence of big data, innovative solutions are needed to support policy frameworks and related actions toward sustainable development. Here we present the Swiss Data Cube (SDC), unleashing the information power of Big Earth Data for monitoring the environment, providing Analysis Ready Data over the geographic extent of Switzerland since 1984, which is updated on a daily basis. Based on a cloud-computing platform allowing to access, visualize and analyse optical (Sentinel-2; Landsat 5, 7, 8) and radar (Sentinel-1) imagery, the SDC minimizes the time and knowledge required for environmental analyses, by offering consistent calibrated and spatially co-registered satellite observations. SDC derived analysis ready data supports generation of environmental information, allowing to inform a variety of environmental policies with unprecedented timeliness and quality. Measurement(s) surface reflectance • backscatter Technology Type(s) satellite imaging Sample Characteristic - Location Switzerland Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14635485