Science Advances

Supplementary Materials

This PDF file includes:

  • Fig. S1. Conceptual diagram of forest loss cases distinguishable via visual interpretation of a single 30-m Landsat pixel.
  • Fig. S2. Examples of predisturbance forest types.
  • Fig. S3. Examples of forest disturbance drivers.
  • Fig. S4. Study area and sampling strata.
  • Fig. S5. Availability of cloud-free 16-day Landsat observations for the sampled pixels.
  • Fig. S6. Sampled pixels with high and low confidence of presence/absence of forest loss.
  • Fig. S7. Comparison of annual forest loss estimates for DRC.
  • Table S1. Summary of selected socioeconomic indicators for the study countries.
  • Table S2A. Total 2001 to 2014 forest disturbance area by disturbance driver and predisturbance forest type (million hectares ± SE).
  • Table S2B. Annual forest loss area by forest disturbance driver and predisturbance forest type in all countries (million hectares ± SE).
  • Table S3. Comparison of forest loss estimates for DRC.
  • Table S4. Major sources of uncertainty during sample interpretation and measures to address them.
  • Table S5. Distribution of sampled pixels (nh) among the country poststrata and three sampling design strata (loss, probable loss, and no loss) and strata sizes (Nh).

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