ee.Kernel.cross

  • Generates a kernel with values arranged in a cross shape, useful for image processing operations.

  • The kernel's size is determined by the radius parameter, and values can be normalized and scaled.

  • By default, the kernel values are normalized to sum to 1 and scaled by 1.

  • The kernel can be defined in either 'pixels' or 'meters', affecting its behavior when the zoom level changes.

Generates a cross-shaped boolean kernel.

UsageReturns
ee.Kernel.cross(radius, units, normalize, magnitude)Kernel
ArgumentTypeDetails
radiusFloatThe radius of the kernel to generate.
unitsString, default: "pixels"The system of measurement for the kernel ('pixels' or 'meters'). If the kernel is specified in meters, it will resize when the zoom-level is changed.
normalizeBoolean, default: trueNormalize the kernel values to sum to 1.
magnitudeFloat, default: 1Scale each value by this amount.

Examples

Code Editor (JavaScript)

print('A cross kernel', ee.Kernel.cross({radius: 3}));

/**
 * Output weights matrix (up to 1/1000 precision for brevity)
 *
 * [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]
 * [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]
 * [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]
 * [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]
 * [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]
 * [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]
 * [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]
 */

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)

from pprint import pprint

print('A cross kernel:')
pprint(ee.Kernel.cross(**{'radius': 3}).getInfo())

#  Output weights matrix (up to 1/1000 precision for brevity)

#  [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]
#  [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]
#  [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]
#  [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]
#  [0.000, 0.000, 0.076, 0.000, 0.076, 0.000, 0.000]
#  [0.000, 0.076, 0.000, 0.000, 0.000, 0.076, 0.000]
#  [0.076, 0.000, 0.000, 0.000, 0.000, 0.000, 0.076]