TY - DATA T1 - Data and Code underlying the article Forest Disturbance and Recovery in Peruvian Amazonia PY - 2023/03/22 AU - Daniela Requena Suarez AU - Danaë M.A. Rozendaal AU - Veronique (Niki) De Sy AU - Mathieu Decuyper AU - Natalia Málaga AU - Patricia Durán Montesinos AU - Alexs Arana Olivos AU - Ricardo De la Cruz Paiva AU - Christopher Martius AU - Martin Herold UR - DO - 10.4121/44f7b164-d85e-49a5-b0db-64f3f71772fb.v1 KW - tropical forests KW - disturbance intensity KW - time since disturbance KW - aboveground biomass (AGB) KW - species richness KW - National Forest Inventory (NFI) N2 - <p>The data and code in this repository can be used to reproduce the analysis Requena Suarez et al. (2023), "Forest Disturbance and Recovery in Peruvian Amazonia". Spatial datasets used in this study are accessible from the sources cited in Table 1 of the main study. Estimation of disturbance and time since disturbance was done using the AVOCADO algorithm (Decuyper et al, 2022, https://doi.org/10.1016/j.rse.2021.112829), and Landsat imagery downloaded from Google Earth Engine. The underlying code for AVOCADO can be found in the following GitHub repository: https://github.com/MDecuy/AVOCADO, as well as a tutorial: https://www.pucv.cl/uuaa/labgrs/proyectos/avocado. </p> ER -