GlobalMask/README.md

GlobalMask

The released GlobalMask dataset is divided into fixed training and testing splits. Both files contain the same arrays and dimensions, but differ in the number of global grid-cell samples.

Split	Samples	File
Training	3373	train/GlobalMask_train.npz
Testing	852	test/GlobalMask_test.npz

Variables

• ed_simulation_x — monthly ED input features
• ed_simulation_y — age-specific ED simulation targets
• ed_simulation_pft_bl — annual age-specific ED broadleaf PFT fractions
• ed_simulation_pft_nl — annual age-specific ED needleleaf PFT fractions
• ed_simulation_pft_gs — annual age-specific ED grass-and-shrub PFT fractions
• lidar_age_weight_fraction — LiDAR-derived forest-age fractions
• esa_cci_bl_fraction — annual ESA CCI broadleaf PFT fractions
• esa_cci_nl_fraction — annual ESA CCI needleleaf PFT fractions
• esa_cci_gs_fraction — annual ESA CCI grass-and-shrub PFT fractions

All released arrays use sample-first orientation.

Detailed dimensions and normalization statistics are provided in:

• ../metadata/dimension_definitions.md
• ../metadata/normalization_statistics.npz