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. 2022 Jan 28;12:1588. doi: 10.1038/s41598-022-05332-6

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Users and producers accuracies at classification stages 1 and 2. (A and D) Stage-1 formation level map UA (A) and PA (D), for each native vegetation, non-native vegetation and non-vegetated class (grass (GRA), savanna (SAV), forest (FOR), pasture (PAST), plantation forest (PF), agriculture (A), water (W) and non-vegetated (NV)) for the seven alternative feature spaces F1–F7. Stage-2 physiognomy level map UA and PA only (B and E) and combined stage-1 and 2 UA and PA (C and F) for, for each physiognomy ((campo limpo úmido (CLÚ), campo seco (CS), campo rupestres (CAMR), cerrado sensu stricto (CSS), cerrado rupestre (CER), vereda (V), cerradão (C) and mata de galeria (MG)), across the seven alternative feature spaces F1–F7. For each feature space, the classification process has been repeated 500 times with different training/validation vegetation reference data splits.