Announcement: On November 13, 2024, all users will need to use a Cloud project in order to access Earth Engine. After this date, continued individual access without a Cloud project will require an exception.
Stay organized with collections
Save and categorize content based on your preferences.
Joins are used to combine elements from different collections (e.g.
ImageCollection or FeatureCollection) based on a condition
specified by an ee.Filter. The filter is constructed with arguments for
the properties in each collection that are related to each other. Specifically,
leftField specifies the property in the primary collection that is related
to the rightField in the secondary collection. The type of filter (e.g.
equals, greaterThanOrEquals, lessThan, etc.)
indicates the relationship between the fields. The type of join indicates one-to-many
or one-to-one relationships between the elements in the collections and how many matches
to retain. The output of a join is produced by join.apply() and will vary
according to the type of join.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-05-26 UTC."],[[["Joins combine elements from different collections like `ImageCollection` and `FeatureCollection` based on specified conditions using an `ee.Filter`."],["Filters define relationships between collections using `leftField` for the primary collection and `rightField` for the secondary collection, with filter types specifying the relationship between these fields."],["Join types determine whether relationships are one-to-one or one-to-many, influencing the number of matches retained and the structure of the output generated by `join.apply()`."]]],[]]