Estimating area and map accuracy for stratified random sampling when the strata are different from the map classes

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Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar (2023, methodology): “Boostrapping with 10,000 iterations was used to calculate uncertainty for tree segmentation accuracy metrics rather than the methods of Stehman (2014) because the cluster sampling approach was used to generate validation data (Olofsson et al., 2014; Mugabowindekwe et al., 2022; Maxwell et al.,…”
Ongoing primary forest loss in Brazil, Democratic Republic of the Congo, and Indonesia (2018, methodology): “The following equations were used to estimate the area of primary forest extent in the year 2001 and the annual area of loss for the years 2002–2014 for each country (Stehman 2013, 2014): ?”