Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-10-22 09:32:37	ga_s2bm_ard_3-2-1_56KLB_2018-10-22_final
2018-10-22 09:32:37	ga_s2bm_ard_3-2-1_56KMB_2018-10-22_final
2018-10-22 09:32:37	ga_s2bm_ard_3-2-1_56KNB_2018-10-22_final
2018-10-25 09:41:06	ga_s2bm_ard_3-2-1_55KGR_2018-10-25_final
2018-10-25 09:41:06	ga_s2bm_ard_3-2-1_55KGS_2018-10-25_final
2018-10-25 09:41:06	ga_s2bm_ard_3-2-1_55KHR_2018-10-25_final
2018-10-25 09:41:06	ga_s2bm_ard_3-2-1_55KHS_2018-10-25_final
2018-10-25 09:41:06	ga_s2bm_ard_3-2-1_56KKB_2018-10-25_final
2018-10-25 09:41:06	ga_s2bm_ard_3-2-1_56KLB_2018-10-25_final
2018-10-25 09:41:06	ga_s2bm_ard_3-2-1_56KKA_2018-10-25_final
2018-10-25 09:41:06	ga_s2bm_ard_3-2-1_56KLA_2018-10-25_final
2018-10-25 09:41:06	ga_s2bm_ard_3-2-1_56KMB_2018-10-25_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_53KQS_2018-10-30_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_53KQR_2018-10-30_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_53KPS_2018-10-30_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_53KPR_2018-10-30_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_53KRR_2018-10-30_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_53KRS_2018-10-30_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_54KTB_2018-10-30_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_54KUA_2018-10-30_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_54KUB_2018-10-30_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_54KTA_2018-10-30_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHR_2018-10-30_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KGR_2018-10-30_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_50KKB_2018-10-30_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_50KKA_2018-10-30_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHS_2018-10-30_final
2019-03-06 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-03-06_final
2019-03-06 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2019-03-06_final
2019-03-06 12:03:53	ga_s2bm_ard_3-2-1_50KLA_2019-03-06_final
2019-03-06 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2019-03-06_final
2019-03-06 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-03-06_final
2019-03-11 11:13:14	ga_s2bm_ard_3-2-1_52KEB_2019-03-11_final
2019-03-11 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2019-03-11_final
2019-03-11 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2019-03-11_final
2019-03-11 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2019-03-11_final
2019-03-11 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2019-03-11_final
2019-03-11 11:13:34	ga_s2bm_ard_3-2-1_52KCA_2019-03-11_final
2019-03-11 11:13:37	ga_s2bm_ard_3-2-1_52KBA_2019-03-11_final
2019-03-11 11:13:37	ga_s2bm_ard_3-2-1_51KZR_2019-03-11_final
2019-03-13 11:53:29	ga_s2bm_ard_3-2-1_50KQB_2019-03-13_final
2019-03-13 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2019-03-13_final
2019-03-13 11:53:36	ga_s2bm_ard_3-2-1_50KNB_2019-03-13_final
2019-03-13 11:53:40	ga_s2bm_ard_3-2-1_50KMB_2019-03-13_final
2019-03-13 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2019-03-13_final
2019-03-13 11:53:47	ga_s2bm_ard_3-2-1_50KPA_2019-03-13_final
2019-03-13 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2019-03-13_final
2019-03-15 10:53:04	ga_s2bm_ard_3-2-1_53KMS_2019-03-15_final
2019-03-15 10:53:08	ga_s2bm_ard_3-2-1_53KLS_2019-03-15_final
2019-03-15 10:53:11	ga_s2bm_ard_3-2-1_53KKS_2019-03-15_final
2019-03-15 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2019-03-15_final
2019-03-15 10:53:18	ga_s2bm_ard_3-2-1_52KGB_2019-03-15_final
2019-03-15 10:53:22	ga_s2bm_ard_3-2-1_53KLR_2019-03-15_final
2019-03-15 10:53:26	ga_s2bm_ard_3-2-1_53KKR_2019-03-15_final
2019-03-15 10:53:26	ga_s2bm_ard_3-2-1_52KHA_2019-03-15_final
2019-03-15 10:53:30	ga_s2bm_ard_3-2-1_52KGA_2019-03-15_final
2019-03-16 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2019-03-16_final
2019-03-16 12:03:35	ga_s2bm_ard_3-2-1_50KMB_2019-03-16_final
2019-03-16 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2019-03-16_final
2019-03-16 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-03-16_final
2019-03-16 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2019-03-16_final
2019-03-16 12:03:54	ga_s2bm_ard_3-2-1_50KLA_2019-03-16_final
2019-03-16 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2019-03-16_final
2019-03-16 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-03-16_final
2019-03-18 11:03:06	ga_s2bm_ard_3-2-1_53KKS_2019-03-18_final
2019-03-18 11:03:08	ga_s2bm_ard_3-2-1_52KHB_2019-03-18_final
2019-03-18 11:03:12	ga_s2bm_ard_3-2-1_52KGB_2019-03-18_final
2019-03-18 11:03:15	ga_s2bm_ard_3-2-1_52KFB_2019-03-18_final
2019-03-18 11:03:18	ga_s2bm_ard_3-2-1_53KKR_2019-03-18_final
2019-03-18 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2019-03-18_final
2019-03-18 11:03:21	ga_s2bm_ard_3-2-1_52KHA_2019-03-18_final
2019-03-18 11:03:26	ga_s2bm_ard_3-2-1_52KGA_2019-03-18_final
2019-03-18 11:03:29	ga_s2bm_ard_3-2-1_52KFA_2019-03-18_final
2019-03-18 11:03:33	ga_s2bm_ard_3-2-1_52KEA_2019-03-18_final
2019-03-23 11:53:32	ga_s2bm_ard_3-2-1_50KQB_2019-03-23_final
2019-03-23 11:53:36	ga_s2bm_ard_3-2-1_50KPB_2019-03-23_final
2019-03-23 11:53:39	ga_s2bm_ard_3-2-1_50KNB_2019-03-23_final
2019-03-23 11:53:43	ga_s2bm_ard_3-2-1_50KMB_2019-03-23_final
2019-03-23 11:53:46	ga_s2bm_ard_3-2-1_50KQA_2019-03-23_final
2019-03-23 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2019-03-23_final
2019-03-23 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2019-03-23_final
2020-04-08 10:53:03	ga_s2bm_ard_3-2-1_53KMS_2020-04-08_final
2020-04-08 10:53:07	ga_s2bm_ard_3-2-1_53KLS_2020-04-08_final
2020-04-08 10:53:10	ga_s2bm_ard_3-2-1_53KKS_2020-04-08_final
2020-04-08 10:53:11	ga_s2bm_ard_3-2-1_52KHB_2020-04-08_final
2020-04-08 10:53:17	ga_s2bm_ard_3-2-1_52KGB_2020-04-08_final
2020-04-08 10:53:22	ga_s2bm_ard_3-2-1_53KLR_2020-04-08_final
2020-04-08 10:53:25	ga_s2bm_ard_3-2-1_53KKR_2020-04-08_final
2020-04-08 10:53:25	ga_s2bm_ard_3-2-1_52KHA_2020-04-08_final
2020-04-08 10:53:29	ga_s2bm_ard_3-2-1_52KGA_2020-04-08_final
2020-04-09 10:22:50	ga_s2bm_ard_3-2-1_54KXB_2020-04-09_final
2020-04-09 10:22:53	ga_s2bm_ard_3-2-1_54KWB_2020-04-09_final
2020-04-09 10:22:55	ga_s2bm_ard_3-2-1_54KVB_2020-04-09_final
2020-05-06 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2020-05-06_final
2020-05-06 11:53:47	ga_s2bm_ard_3-2-1_50KPA_2020-05-06_final
2020-05-06 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2020-05-06_final
2020-05-09 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-05-09_final
2020-05-09 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-05-09_final
2020-05-09 12:03:54	ga_s2bm_ard_3-2-1_50KLA_2020-05-09_final
2020-05-09 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2020-05-09_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

All years