geetools.ImageCollectionAccessor.panSharpen

geetools.ImageCollectionAccessor.panSharpen(method='SFIM', qa='', **kwargs)

Apply panchromatic sharpening to the ImageCollection images.

Optionally, run quality assessments between the original and sharpened Image to measure spectral distortion and set results as properties of the sharpened Image.

Parameters:

• method (str) – The sharpening algorithm to apply. Current options are “SFIM” (Smoothing Filter-based Intensity Modulation), “HPFA” (High Pass Filter Addition), “PCS” (Principal Component Substitution), and “SM” (simple mean). Different sharpening methods will produce different quality sharpening results in different scenarios.

• qa (str) – One or more optional quality assessment names to apply after sharpening. Results will be stored as image properties with the pattern geetools:metric, e.g. geetools:RMSE.

• **kwargs – Keyword arguments passed to ee.Image.reduceRegion() such as “geometry”, “maxPixels”, “bestEffort”, etc. These arguments are only used for PCS sharpening and quality assessments.

Returns:

The ImageCollections with all sharpenable bands sharpened to the panchromatic resolution and quality assessments run and set as properties.

Return type:

ee.ImageCollection

Examples

import ee
import geetools

ee.Initialize()

source = ee.Image("LANDSAT/LC08/C01/T1_TOA/LC08_047027_20160819")
sharp = source.panSharpen(method="HPFA", qa=["MSE", "RMSE"], maxPixels=1e13)