ee.Kernel.prewitt

Page Summary

• The ee.Kernel.prewitt method generates a 3x3 Prewitt edge-detection kernel.

• The kernel can be scaled using the magnitude argument and normalized using the normalize argument.

• The method returns a Kernel object.

Generates a 3x3 Prewitt edge-detection kernel.

Usage	Returns
ee.Kernel.prewitt(magnitude, normalize)	Kernel

Argument	Type	Details
magnitude	Float, default: 1	Scale each value by this amount.
normalize	Boolean, default: false	Normalize the kernel values to sum to 1.

Examples

Code Editor (JavaScript)

print('A Prewitt kernel', ee.Kernel.prewitt());

/**
 * Output weights matrix
 *
 * [1, 0, -1]
 * [1, 0, -1]
 * [1, 0, -1]
 */

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)

display('A Prewitt kernel:', ee.Kernel.prewitt())

# Output weights matrix

#  [1, 0, -1]
#  [1, 0, -1]
#  [1, 0, -1]