ee.Kernel.octagon

Generates an octagon-shaped boolean kernel.

UsageReturns
ee.Kernel.octagon(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

print('An octagon kernel', ee.Kernel.octagon({radius: 3}));

/**
 * Output weights matrix (up to 1/1000 precision for brevity)
 *
 * [0.000, 0.000, 0.027, 0.027, 0.027, 0.000, 0.000]
 * [0.000, 0.027, 0.027, 0.027, 0.027, 0.027, 0.000]
 * [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
 * [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
 * [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
 * [0.000, 0.027, 0.027, 0.027, 0.027, 0.027, 0.000]
 * [0.000, 0.000, 0.027, 0.027, 0.027, 0.000, 0.000]
 */

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('An octagon kernel:')
pprint(ee.Kernel.octagon(**{'radius': 3}).getInfo())

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

#  [0.000, 0.000, 0.027, 0.027, 0.027, 0.000, 0.000]
#  [0.000, 0.027, 0.027, 0.027, 0.027, 0.027, 0.000]
#  [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
#  [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
#  [0.027, 0.027, 0.027, 0.027, 0.027, 0.027, 0.027]
#  [0.000, 0.027, 0.027, 0.027, 0.027, 0.027, 0.000]
#  [0.000, 0.000, 0.027, 0.027, 0.027, 0.000, 0.000]