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How to split feature collection in Google Earth Engine?
I am trying to do a supervised classification in Google Earth Engine and created around 50 polygons for each of my 5 categories and put them into Feature Collections and merged them into one single feature collection with the property “class”.
How to make a JavaScript list in Earth Engine?
Note that the methods of Earth Engine objects return other Earth Engine objects. To make a JavaScript list into an ee.List object on the server, you can put a JavaScript literal into a container as with numbers and strings. Earth Engine also provides server-side convenience methods for making sequences of numbers. For example:
How to make a sequence in Earth Engine?
Earth Engine also provides server-side convenience methods for making sequences of numbers. For example: // Make a sequence the hard way. // Make a sequence the easy way! Since the ee.List objects only exist on the server, use Earth Engine provided functions to interact with them.
How to cast a number to an Earth Engine object?
This is common with the get () function, which could return all sorts of Earth Engine objects. To correct it, use the ee.Number constructor to cast the result: // Cast the return value of get () to a number. You can construct an Earth Engine Dictionary from a JavaScript object, as with strings, numbers and lists.
How to create random points in Google Earth Engine?
// Define an arbitrary region in which to compute random points. // Create 1000 random points in the region. // Display the points. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License.
Is it better to randomly split feature collection?
So, it is much smarter to just split this training data that I made directly, which I did with:
How to load table data in Google Earth Engine?
To load a table dataset, provide the table ID to the FeatureCollection constructor. For example, to load TIGER roads data: Note that as with image datasets, you can search for table datasets and import them into your script using the Code Editor search tool or discover them in the Earth Engine Data Catalog.