In recent years, there has been an increasing demand for improved accuracy and reliability of Earth Observation (EO) data, stimulated not only by our desire to understand better the workings of our planet and the cause and impact of climate change, but also because improvements in models allow us to discriminate better between data. A further driver is the increasing reliance on the combination of data from different sensors and sources (satellites, aircraft and in-situ) to establish more sophisticated data products.
It is also essential that all measurements and associated instrumentation used for any quantitative purpose in remote sensing be fully traceable to SI as part of the Quality Assurance process, as recommended by the Committee of Earth Observation Satellites (CEOS) in 2001.
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