A qualifying objective of future eLTER research is to strive for the whole-system approach covering allspheres involved in current ecosystem and ecosystem service studies, from the atmosphere to thegeosphere and the hydrosphere, from the biosphere to the socio-economic sphere. This requires datafrom all available sources to broaden the thematic, spatial, and temporal scope and to fill gaps in theinformation collected directly at eLTER in-situ facilities. The concept of Information Clusters supportsthis approach by developing a framework to facilitate access to and exchange of data and informationcoming from multiple sources that complement eLTER in-situ observations. The implementation of"Information Clusters" will be achieved by identifying three primary data sources: (a) legacy data, alsoincluding archive data collected at eLTER facilities and provided by third parties, (b) official statisticsdata provided by statistical offices from national to pan-European and global levels, and (c) remotesensing (RS) data, and products.The primary emphasis of this report is placed on the final portion of the data landscape of interest, i.ethe one related to remote sensing data and products. Similar to how strategies and workflows werepreviously outlined for both legacy data and official statistics, this report now proceeds to describethe approaches and procedures developed for obtaining variables derived from remote sensing andpotentially contributing to eLTER Standard Observations, such as NDVI, albedo, land surfacetemperature, and land cover change. The report summarises the development of user-friendly andharmonised methods for retrieving remote sensing data and products at different scales and fromdifferent archives and repositories (e.g., Copernicus, USGS/NASA, and others).