ee_extra.QA.metrics.DIV#
- class ee_extra.QA.metrics.DIV(original: Image, modified: Image, reproject: bool = True, **kwargs: Any)[source]#
Calculate band-wise Difference in Variance (DIV) between an original and modified image with the same bands. A value of 0 represents no change in variance.
- Parameters:
original – The original image to use as a reference.
modified – The modified image to compare to the original.
reproject – If true, the original image will be reprojected to the modified image scale before calculation.
kwargs – Additional keyword arguments passed to ee.Image.reduceRegion.
- Returns:
A dictionary with band names as keys and DIV values as values.
References
- Vaiopoulos, A. D. (2011). Developing Matlab scripts for image analysis
and quality assessment. Earth Resources and Environmental Remote Sensing/GIS Applications II. https://doi.org/10.1117/12.897806
Examples
>>> from ee_extra.QA import metrics >>> bands = ["B4", "B3", "B2"] >>> img1 = ee.Image("COPERNICUS/S2_SR/20210703T170849_20210703T171938_T14SPG").select(bands) >>> img2 = ee.Image("COPERNICUS/S2_SR/20210708T170851_20210708T171925_T14SPG").select(bands) >>> metrics.DIV(img1, img2, bestEffort=True).getInfo() {'B2': -0.11554855234271111, 'B3': -0.053204512324202424, 'B4': -0.07635340111753797}
- __init__()#
Methods
__init__
()