Point sample database with spatial holdbacks for global forest edge model training
收藏资源简介:
Global point dataset sampling 50 biophysical parameters to train the global forest carbon edge model at https://github.com/springinnovate/carbon_edge_model/releases/tag/1.2.0 Field schema: accessibility_to_cities_2015_30sec_compressed (Integer64) altitude_10sec_compressed (Integer64) baccini_carbon_data_2014_compressed (Integer64) bio_01_30sec_compressed (Real) bio_02_30sec_compressed (Real) bio_03_30sec_compressed (Real) bio_04_30sec_compressed (Real) bio_05_30sec_compressed (Real) bio_06_30sec_compressed (Real) bio_07_30sec_compressed (Real) bio_08_30sec_compressed (Real) bio_09_30sec_compressed (Real) bio_10_30sec_compressed (Real) bio_11_30sec_compressed (Real) bio_12_30sec_compressed (Real) bio_13_30sec_compressed (Real) bio_14_30sec_compressed (Real) bio_15_30sec_compressed (Real) bio_16_30sec_compressed (Real) bio_17_30sec_compressed (Real) bio_18_30sec_compressed (Real) bio_19_30sec_compressed (Real) cec_0-5cm_mean_compressed (Integer64) cec_5-15cm_mean_compressed (Integer64) cfvo_0-5cm_mean_compressed (Integer64) cfvo_5-15cm_mean_compressed (Integer64) clay_0-5cm_mean_compressed (Integer64) clay_5-15cm_mean_compressed (Integer64) fc_stack_hansen_forest_cover2014_compressed (Integer64) gf_0.4_masked_forest_ESACCI-LC-L4-LCCS-Map-300m-P1Y-2014-v2.0.7 (Real) gf_1.45_masked_forest_ESACCI-LC-L4-LCCS-Map-300m-P1Y-2014-v2.0.7 (Real) gf_5.0_fc_stack_hansen_forest_cover2014_compressed (Real) gf_5.0_masked_forest_ESACCI-LC-L4-LCCS-Map-300m-P1Y-2014-v2.0.7 (Real) hillshade_10sec_compressed (Integer64) masked_forest_ESACCI-LC-L4-LCCS-Map-300m-P1Y-2014-v2.0.7 (Integer64) night_lights_10sec_compressed (Real) night_lights_5min_compressed (Real) nitrogen_0-5cm_mean_compressed (Integer64) nitrogen_10sec_compressed (Integer64) nitrogen_5-15cm_mean_compressed (Integer64) phh2o_0-5cm_mean_compressed (Integer64) phh2o_5-15cm_mean_compressed (Integer64) sand_0-5cm_mean_compressed (Integer64) silt_0-5cm_mean_compressed (Integer64) silt_5-15cm_mean_compressed (Integer64) slope_10sec_compressed (Real) soc_0-5cm_mean_compressed (Integer64) soc_5-15cm_mean_compressed (Integer64) tri_10sec_compressed (Real) wind_speed_10sec_compressed (Real)



