ee.Filter.eq

  • ee.Filter.eq() filters an ImageCollection based on property values, returning a new filtered collection.

  • It takes two arguments: name (the property to filter on) and value (the value to match).

  • This filter is useful for selecting specific data within an ImageCollection, such as isolating images with particular metadata attributes, as demonstrated with the GOES Mesoscale imagery example.

Filter to metadata equal to the given value.

Returns the constructed filter.

UsageReturns
ee.Filter.eq(name, value)Filter
ArgumentTypeDetails
nameStringThe property name to filter on.
valueObjectThe value to compare against.

Examples

Code Editor (JavaScript)

// The GOES Mesoscale images come in two domains.
// Separate the two groups using ee.Filter.eq.
var goes17_mcmipm = ee.ImageCollection('NOAA/GOES/17/MCMIPM');
var goes17_mcmipm_2019 =
    goes17_mcmipm.filterDate(ee.Date('2019-11-01'), ee.Date('2019-11-05'));

var d1 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 1));
var d2 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 2));
print(goes17_mcmipm_2019.size()); 
print(d1.size());
print(d2.size());

Python setup

See the Python Environment page for information on the Python API and using geemap for interactive development.

import ee
import geemap.core as geemap

Colab (Python)

# The GOES Mesoscale images come in two domains.
# Separate the two groups using ee.Filter.eq.
goes17_mcmipm = ee.ImageCollection('NOAA/GOES/17/MCMIPM')
goes17_mcmipm_2019 = goes17_mcmipm.filterDate(
    ee.Date('2019-11-01'), ee.Date('2019-11-05')
)

d1 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 1))
d2 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 2))
print(goes17_mcmipm_2019.size().getInfo())
print(d1.size().getInfo())
print(d2.size().getInfo())