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Links to data in this code are from GitHub repository. But can be replaced by the files supplied here. Only code to generate models and to create figures for their validation is provided. Also code to create GMFR function (from Riemann et al. 2010 and adapted in Henderson et al. 2019) is provided. Code to: calculate C stock for training and validation data set per biomass compartment; prepare raster data (mostly in Google Earth Engine); make raster predictions; calculate C loss according to local combustion factors and NBR severity levels is available upon request. MetaData.xlsx contains a description of all files within this package, and variable explanation for provided data sets.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 72 | |
| downloads | 5 |

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