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Table 3 Variables selected by random forest-recursive feature elimination (RFE) with tenfold cross-validation

From: Use of vegetation change tracker, spatial analysis, and random forest regression to assess the evolution of plantation stand age in Southeast China

Species

Indexes selected for RF

Pine

“ME_NIR”, “EN_Red”, “ME_SWIR2”, “TCT_B”, “ME_SWIR1”, “SK_Red”, “TCT_W”, “EVI”, “SK_SWIR1”, “SK_SWIR2”, “ME_Red”, “VA_Red”, “SK_NIR”, “VA_SWIR1”, “EN_NIR”, “DR_SWIR2” “VA_NIR”, “EN_SWIR1”, “GRVI”, “GNDVI”, “TCT_G”

Chinese fir

“ME_SWIR1”, “ME_NIR”, “ME_SWIR2”, “SK_SWIR2”, “TCT_B”, “SK_SWIR1”, “SK_NIR”, “ME_Red”, “EN_Red”, “DR_SWIR1” “SK_Red”, “VA_Red”

Oak

“ME_NIR”, “ME_SWIR2”, “SK_SWIR2”, “ME_SWIR1”, “VA_SWIR1”, “TCT_B”, “ME_Red”, “SK_NIR”, “SK_SWIR1”, “TCT_W”, “EN_Red” “TCT_G”, “VA_Red”, “SK_Red”, “DR_SWIR1”, “EN_SWIR1” “EN_NIR”, “EN_SWIR2”, “VA_SWIR2”, “VA_NIR”, “DR_SWIR2”, “DR_NIR”, “EVI”, “DR_Red”