GitHub - JavierLopatin/Peatland-carbon-stock: Codes for: Lopatin, J., et al. (2019). Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks. Remote Sens. Environ. 231, 111217

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Codes for: Lopatin, J., et al. (2019). Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks. Remote Sens. Environ. 231, 111217

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Name		Name	Last commit message	Last commit date
Latest commit History 56 Commits
0_Floristic_composition.R		0_Floristic_composition.R
1_Modeling.R		1_Modeling.R
2_Significance_test.R		2_Significance_test.R
3_Maps.R		3_Maps.R
4_Plots.R		4_Plots.R
README.md		README.md
paper_front.png		paper_front.png

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Codes for the paper published in RSE entitled: 'Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks'. The article can be found at ScienceDirect or in ResearchGate.

The Python 3.X codes used for Brightness Normalization of Hyperspectral data and Minimum Noise fraction Transformation can be found here and here

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Codes for: Lopatin, J., et al. (2019). Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks. Remote Sens. Environ. 231, 111217

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