Two scripts for classifying remotely sensed data used to produce maps of peatland distribution and predicted peat thickness, using random forest classification and regression. Written in JavaScript for use with Google Earth Engine. These are versions of the scripts used in Hastie et al. (2022), https://doi.org/10.1038/s41561-022-00923-4. Users should also cite Rodríguez-Veiga et al. (2020), https://doi.org/10.3390/rs12152380 . Full details about this application can be found at https://doi.org/10.5285/e337de58-df5e-4412-8aef-28875870f965

Spatial datasets of predicted land cover, peatland extent, peat thickness and peatland carbon storage for the Lowland Peruvian Amazon. Full details about this dataset can be found at https://doi.org/10.5285/db3de2d7-b094-4d15-a40b-edb618ede889