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]
