Metadata for files in the zip archive:
Crezee_2022_Central_Congo_Landcover_Probability_6x_layers.zip

This folder contains 6 probability layers, the output of 1000 classification
runs using a random 2/3 subset of training data, which were used to produce the 
peatland extent estimates and probability map (Figure 1b) in:

Crezee et al. (2022). Nature Geoscience. Mapping peat thickness and carbon stocks of the central Congo Basin using field data. 

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This folder contains 6S layers:
	- Probability_2022_HardwoodDominatedPeatSwamp.tif
	- Probability_2022_PalmDominatedPeatSwamp.tif
	- Probability_2022_NonPeatFormingForest.tif
	- Probability_2022_Savanna.tif
	- Probability_2022_Water.tif
	- Probability_2022_TotalPeatSwamp.tif

Each of the first 5 layers has pixel values from 0-1000, representing the number of times that class
was given as the most likely class for that pixel in 1000 Maximum Likelihood classifications
using a random 2/3 subset of the training data.

For example, a value of 995 in the Probability_2022_Water.tif file means that in 995 of the 1000
runs this pixel was mapped as 'water'. Conversely, a value of 4 in the Probability_2022_Savanna.tif
would mean that that pixel was only mapped as savanna 4 times in the 1000 runs.

As an approximation, dividing these values by 1000 gives the probability that that pixel
contains a majority of vegetation of that class.

The 6th layer (Probability_2022_TotalPeatSwamp.tif) was obtained by summing the probabilities of the hardwood and 
palm-dominated peat swamp forest files. This layer provides the total probability of the presence of peat for each pixel, irrespective of the aboveground vegetation type (either hardwood- or palm-dominated swamp forest).

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Projection and file details:

The file is a GeoTIFF in a lat/long WGS-84 projection and a pixel size of 0.00044444 degrees (c. 50 m).

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Mapping peat thickness and carbon stocks of the central Congo Basin using field data © 2022 by Crezee et al. is licensed under Creative Commons Attribution 4.0 International. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/

Preferred citation: Crezee et al. (2022). Nature Geoscience. Mapping peat thickness and carbon stocks of the central Congo Basin using field data. https://doi.org/10.1038/s41561-022-00966-7

The file was created by Bart Crezee and Edward Mitchard. For questions about these data layers please contact Bart Crezee at crezeebart@gmail.com