cff-version: 1.2.0
abstract: "<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.&nbsp;</p>"
authors:
  - family-names: Requena Suarez
    given-names: Daniela
  - family-names: Rozendaal
    given-names: Danaë M.A.
  - family-names: De Sy
    given-names: Veronique (Niki)
  - family-names: Decuyper
    given-names: Mathieu
    orcid: "https://orcid.org/0000-0002-1713-8562"
  - family-names: Málaga
    given-names: Natalia
  - family-names: Durán Montesinos
    given-names: Patricia
  - family-names: Arana Olivos
    given-names: Alexs
  - family-names: De la Cruz Paiva
    given-names: Ricardo
  - family-names: Martius
    given-names: Christopher
    orcid: "https://orcid.org/0000-0002-6884-0298"
  - family-names: Herold
    given-names: Martin
    orcid: "https://orcid.org/0000-0003-0246-6886"
title: "Data and Code underlying the article Forest Disturbance and Recovery in Peruvian Amazonia"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/44f7b164-d85e-49a5-b0db-64f3f71772fb.v1
license: CC BY 4.0
date-released: 2023-03-22