AI-generated Key Takeaways
-
ee.Kernel.diamondgenerates a diamond-shaped boolean kernel. -
The
radiusargument specifies the size of the kernel, and theunitsargument can be set to "pixels" or "meters". -
The kernel values can be normalized to sum to 1 using the
normalizeargument and scaled by a factor using themagnitudeargument. -
Examples in both JavaScript and Python demonstrate how to use the
ee.Kernel.diamondfunction and show the resulting kernel matrix.
| Usage | Returns |
|---|---|
ee.Kernel.diamond(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 diamond kernel' , ee . Kernel . diamond ({ radius : 3 })); /** * Output weights matrix (up to 1/100 precision for brevity) * * [0.00, 0.00, 0.00, 0.04, 0.00, 0.00, 0.00] * [0.00, 0.00, 0.04, 0.04, 0.04, 0.00, 0.00] * [0.00, 0.04, 0.04, 0.04, 0.04, 0.04, 0.00] * [0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04] * [0.00, 0.04, 0.04, 0.04, 0.04, 0.04, 0.00] * [0.00, 0.00, 0.04, 0.04, 0.04, 0.00, 0.00] * [0.00, 0.00, 0.00, 0.04, 0.00, 0.00, 0.00] */
import ee import geemap.core as geemap
Colab (Python)
display ( 'A diamond kernel:' , ee . Kernel . diamond ( ** { 'radius' : 3 })) # Output weights matrix (up to 1/100 precision for brevity) # [0.00, 0.00, 0.00, 0.04, 0.00, 0.00, 0.00] # [0.00, 0.00, 0.04, 0.04, 0.04, 0.00, 0.00] # [0.00, 0.04, 0.04, 0.04, 0.04, 0.04, 0.00] # [0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04] # [0.00, 0.04, 0.04, 0.04, 0.04, 0.04, 0.00] # [0.00, 0.00, 0.04, 0.04, 0.04, 0.00, 0.00] # [0.00, 0.00, 0.00, 0.04, 0.00, 0.00, 0.00]
