A sample of the database used to produce the graphs presented in this paper is attached.
The file "S2A_2023_08_GL_btstrp_100.npz" contains reflectance indicators obtained after applying the bootstrap method (with N=100) and extracting the second inflexion point from the Sentinel-2A DCC histograms obtained during August 2023 over the whole globe.
This file can be opened using the numpy library with Python3.8 or higher :
$ import numpy as np
$ data = np.load("S2A_2023_08_GL_btstrp_100.npz")
$ print(list(data))
Three elements can be found when opening this file :
- "nprods" is an integer describing the number of products containing DCC used to compute the histograms,
- "list_lat_lon" is the list of the mean latitude and longitude of each product containing DCC used to compute the histograms,
- "data" is the array with the reflectance indicators. It has three dimensions, its shape is (100, 13, 12) for Sentinel-2A. 100 is the number N of parameterization of the bootstrap method, corresponding to the number of times a summed histogram was built and a second inflexion point was extracted. 13 is the number of bands of the instrument. 12 is the number of detectors of the instrument.
