ee.Kernel.roberts

Generates a 2x2 Roberts edge-detection kernel.

UsageReturns
ee.Kernel.roberts(magnitude, normalize)Kernel
ArgumentTypeDetails
magnitudeFloat, default: 1Scale each value by this amount.
normalizeBoolean, default: falseNormalize the kernel values to sum to 1.

Examples

print('A Roberts kernel', ee.Kernel.roberts());

/**
 * Output weights matrix; center is position [1,1]
 *
 * [1,  0]
 * [0, -1]
 */

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

import ee
import geemap.core as geemap
from pprint import pprint

print('A Roberts kernel:')
pprint(ee.Kernel.roberts().getInfo())

#  Output weights matrix; center is position [1,1]

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