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Digital Earth Pacific Annual Surface Reflectance Composite (Sentinel-2, GeoMAD, 10 m)

This dataset provides annual cloud-free composite imagery derived from Sentinel-2 observations across the Pacific region using geometric median and absolute deviation (GeoMAD) methods. The geometric median uses a more robust method of determining the median observation than a simple median, and represents stable surface conditions. Along with the median observation, the GeoMAD produces three measures of variance, or absolute deviations (emad, smad and bcmad), which help to understand how the data change over the time period. For example, some areas, such as bare rock, will change very little, whereas crop land will change more....

Listed for discovery. Access is provided by the original publisher under its terms.

Data coverage

This dataset provides annual cloud-free composite imagery derived from Sentinel-2 observations across the Pacific region using geometric median and absolute deviation (GeoMAD) methods. The geometric median uses a more robust method of determining the median observation than a simple median, and represents stable surface conditions. Along with the median observation, the GeoMAD produces three measures of variance, or absolute deviations (emad, smad and bcmad), which help to understand how the data change over the time period. For example, some areas, such as bare rock, will change very little, whereas crop land will change more. The dataset is available annually from 2017 and supports monitoring of vegetation, land cover, and coastal environments.

Access & permitted use

Review the publisher’s documentation for availability, eligibility and permitted uses, including commercial analysis, model training and redistribution.

Digital Earth Pacific Data is available under the Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/

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