Usage | Returns |
---|---|
ee.Kernel.cross(radius, units, normalize, magnitude) | Kernel |
Argument | Type | Details |
---|---|---|
radius | Float | The radius of the kernel to generate. |
units | String, 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. |
normalize | Boolean, default: true | Normalize the kernel values to sum to 1. |
magnitude | Float, default: 1 | Scale 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] */
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]