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From version < 10.1 >
edited by Wai-Tim Ng
on 2018/08/20 09:46
To version < 10.2 >
edited by Wai-Tim Ng
on 2018/08/29 14:10
>
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Summary

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1 1  Index
2 2  
3 -* Aggregations
3 +* Cloud maskinh
4 +* Gap-filling
4 4  * Resampling
6 +* Sen2cor
5 5  
6 6  (% cellpadding="5" cellspacing="5" style="height:172px; width:1284px" %)
7 -|**Aggregation** computes new values from sets of values that are uniquely assigned to groups. It involves a grouping predicate (e.g. monthly, 100 m x 100 m grid cells; think of SQL's group_by), and an aggregation function (e.g., mean) that computes one or more new values from the original ones.
9 +|
8 8  |(((
9 9  **Cloud masking** is the action of removing cloud affected pixels, usually by assiging NA values to them. Generally, the precense of clouds or shadows is unavoidable for optical remote sensing and result in missing data. Therefore, negatively affected pixels need to be bemoved, either manually or by applying fully automated setups. To do so cloud mask being produced using a wide range of algorithms, with different ranges of success in detecting clouds and shadows.
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