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                <gco:CharacterString>Multi-decadal archives of satellite imagery and rapidly growing volumes of newly acquired Earth observation (EO) data provide the opportunity to monitor and assess changes to the Earth’s surface in a systematic way. However, many satellite data users need to invest substantial time and effort into data preparation that is typically done in desktop environments, which limits effective utilisation and subsequently the societal benefit that could be realised from the datasets. 
There is a growing trend among satellite data providers to handle more of such data preparation work and provide Analysis Ready Data (ARD) as a standard product package for EO data to make it more accessible and useful to a wider user base. ARD are satellite data that have been processed to a minimum set of requirements and organised into a form that allows immediate analysis with a minimum of additional user effort and interoperability both through time and with other datasets. Although definitive specifications for different families of ARD products are currently being developed by Committee on Earth Observation Satellites (CEOS), through the CEOS Analysis Ready Data for Land  (CARD4L) framework, the effective utilisation and interoperability of cross-provider and cross-sensor ARD products may still pose challenges. 
The interoperability between ARD products will be critical for the effective user uptake of the multiple data streams. Identifying the common set of properties required for multi-sensor interoperability and assessment of the impact of parameters used in the corrections applied to derive ARD products, are important steps in achieving interoperability between ARD products. Multiple aerosol and water vapour parameters covering a range of conditions, a range of BRDF shape parameters from typical land cover types, and different solar angle normalisations covering seasonal variations have been evaluated for their impact on the derived surface reflectance, an ARD product. The results from the sensitivity analyses will be highlighted in this paper.
Presented at the 2019 ESA Living Planet Symposium, 13-17 May 2019 Milan, Italy</gco:CharacterString>
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