Datasets Metadata Issues

121 products with summaries. 4 without: gedi_l2b_cover_z, gedi_l2b_pai_z, gedi_l2b, gedi_l2b_pavd_z
Product Missing footprint Missing CRS Missing Regions Missing Dataset Size
abares_clum_2020
abares_clum_2023
agcd_rain_recal_day
agcd_rain_rmse_day
agcd_rain_rmse_month
agcd_rain_total_day
agcd_rain_total_month
agcd_solar_exposure_day
agcd_solar_exposure_month
agcd_tmax_mean_day
agcd_tmax_mean_month
agcd_tmax_rmse_day
agcd_tmax_rmse_month
agcd_tmin_mean_day
agcd_tmin_mean_month
agcd_tmin_rmse_day
agcd_tmin_rmse_month
agcd_vp09_mean_day
agcd_vp09_mean_month
agcd_vp15_mean_day
agcd_vp15_mean_month
aster_aloh_group_composition
aster_aloh_group_content
aster_false_colour
aster_feoh_group_content
aster_ferric_oxide_composition
aster_ferric_oxide_content
aster_ferrous_iron_content_in_mgoh
aster_ferrous_iron_index
aster_green_vegetation
aster_gypsum_index
aster_kaolin_group_index
aster_mgoh_group_composition
aster_mgoh_group_content
aster_opaque_index
aster_quartz_index
aster_regolith_ratios
aster_silica_index
avhrr_toa
copernicus_dem_30
csiro_bom_windspeed_mean_day
csiro_modis_frac_cover
ecosystem_condition
fwdet3_6_web_mercator
fwdet3_6_wgs84
fwdet_4_1_bimonthly
fwdet_4_1_monthly
ga_ausbathytopo250m_2023
ga_ls5t_ard_3
ga_ls5t_gm_cyear_3
ga_ls5t_nbart_gm_cyear_3
ga_ls7e_ard_3
ga_ls7e_gm_cyear_3
ga_ls7e_nbart_gm_cyear_3
ga_ls8c_ard_3
ga_ls8c_nbart_gm_cyear_3
ga_ls8cls9c_gm_cyear_3
ga_ls9c_ard_3
ga_ls_fc_3
ga_ls_fc_pc_cyear_3
ga_ls_landcover_class_cyear_2
ga_ls_landcover_class_cyear_3
ga_ls_mangrove_cover_cyear_3
ga_ls_tc_pc_cyear_3
ga_ls_tcw_percentiles_2
ga_ls_wo_3
ga_ls_wo_fq_apr_oct_3
ga_ls_wo_fq_cyear_3
ga_ls_wo_fq_myear_3
ga_ls_wo_fq_nov_mar_3
ga_s2_ba_provisional_3
ga_s2_wo_provisional_3
ga_s2a_ard_nbar_granule
ga_s2am_ard_3
ga_s2b_ard_nbar_granule
ga_s2bm_ard_3
ga_s2cm_ard_3
ga_s2ls_intertidal_cyear_3
ga_srtm_dem1sv1_0
gedi_l2a
gedi_l2a_rh
gedi_l2b
gedi_l2b_cover_z
gedi_l2b_pai_z
gedi_l2b_pavd_z
geodata_coast_100k
gpm_3imerg_month
high_tide_comp_20p
item_v2
item_v2_conf
landsat_barest_earth
low_tide_comp_20p
lpdaac_mcd43a4v061_nbar
lpdaac_mod09a1v061_sr
lpdaac_mod11a1v061_lste
lpdaac_mod13q1v061_vi
ls8_barest_earth_albers
ls_s2_fc_c3
ls_s2_sr_c3
modis_fc_antecedent_rainfall
modis_seb
multi_scale_topographic_position
nasa_aqua_l2_iop
nasa_aqua_l2_oc
nasa_aqua_l2_sst
nidem
novasar_gamma0_mosaic_nofill_2023
novasar_gamma0_mosaic_nofill_2023_summary
novasar_gamma0_mosaic_s1fill_2023
novasar_gamma0_mosaic_s1fill_2023_summary
oztreemap_chm
s1_decomposition_snap_digiscape_scene
s1_gamma0_geotif_scene
s1_intensity_snap_digiscape_scene
s2_barest_earth
sentinel1_decomp_haalpha
sentinel1_grd_gamma0_10m_unsmooth
sentinel1_grd_gamma0_20m
sentinel1_grd_gamma0_20m_unsmooth
sentinel1_grdhh_gamma0_10m_unsmooth
sentinel1_grdvv_gamma0_10m_unsmooth
usgs_espa_ls8c1_ar
weathering_intensity
wofs_filtered_summary
wofs_summary

Largest footprint size 🔗

Measured from binary storage. JSON/Metadata representation is much larger.
Product Avg. Footprint size
gedi_l2b 13.5KiB
gedi_l2b_cover_z 13.5KiB
gedi_l2b_pai_z 13.5KiB
gedi_l2b_pavd_z 13.5KiB
abares_clum_2020 696.0B
abares_clum_2023 696.0B
sentinel1_grdhh_gamma0_10m_unsmooth 570.7B
sentinel1_grdvv_gamma0_10m_unsmooth 544.0B
sentinel1_grd_gamma0_10m_unsmooth 528.0B
modis_fc_antecedent_rainfall 490.2B
sentinel1_grd_gamma0_20m_unsmooth 434.7B
ga_ls7e_ard_3 433.5B
sentinel1_grd_gamma0_20m 428.0B
ga_ls8c_ard_3 385.5B
ga_ls_fc_3 385.1B
View query timings (very slow)