AI-generated Key Takeaways
-
The
ee.Kernel.rectanglefunction generates a rectangular-shaped kernel. -
The function takes
xRadius,yRadius, and optionalunits,normalize, andmagnitudearguments. -
The generated kernel is represented as a matrix of weights.
| Usage | Returns |
|---|---|
ee.Kernel.rectangle(xRadius, yRadius, units, normalize, magnitude) | Kernel |
| Argument | Type | Details |
|---|---|---|
xRadius | Float | The horizontal radius of the kernel to generate. |
yRadius | Float | The vertical 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 rectangle kernel', ee.Kernel.rectangle({xRadius: 2, yRadius: 1})); /** * Output weights matrix (up to 1/1000 precision for brevity) * * [0.066, 0.066, 0.066, 0.066, 0.066] * [0.066, 0.066, 0.066, 0.066, 0.066] * [0.066, 0.066, 0.066, 0.066, 0.066] */
import ee import geemap.core as geemap
Colab (Python)
display( 'A rectangle kernel:', ee.Kernel.rectangle(**{'xRadius': 2, 'yRadius': 1}) ) # Output weights matrix (up to 1/1000 precision for brevity) # [0.066, 0.066, 0.066, 0.066, 0.066] # [0.066, 0.066, 0.066, 0.066, 0.066] # [0.066, 0.066, 0.066, 0.066, 0.066]