Search ga_s2bm_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-10-07 10:43:02	ga_s2bm_ard_3-2-1_53KQS_2023-10-07_final
2023-10-07 10:43:05	ga_s2bm_ard_3-2-1_53KPS_2023-10-07_final
2023-10-07 10:43:09	ga_s2bm_ard_3-2-1_53KNS_2023-10-07_final
2023-10-07 10:43:12	ga_s2bm_ard_3-2-1_53KMS_2023-10-07_final
2023-10-07 10:43:15	ga_s2bm_ard_3-2-1_53KQR_2023-10-07_final
2023-10-07 10:43:19	ga_s2bm_ard_3-2-1_53KPR_2023-10-07_final
2023-12-16 10:43:00	ga_s2bm_ard_3-2-1_53KQS_2023-12-16_final
2023-12-16 10:43:04	ga_s2bm_ard_3-2-1_53KPS_2023-12-16_final
2023-12-16 10:43:07	ga_s2bm_ard_3-2-1_53KNS_2023-12-16_final
2023-12-16 10:43:10	ga_s2bm_ard_3-2-1_53KMS_2023-12-16_final
2023-12-16 10:43:14	ga_s2bm_ard_3-2-1_53KQR_2023-12-16_final
2023-12-16 10:43:18	ga_s2bm_ard_3-2-1_53KPR_2023-12-16_final
2023-12-18 11:23:16	ga_s2bm_ard_3-2-1_52KCB_2023-12-18_final
2023-12-18 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2023-12-18_final
2023-12-18 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2023-12-18_final
2023-12-18 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2023-12-18_final
2023-12-18 11:23:27	ga_s2bm_ard_3-2-1_52KCA_2023-12-18_final
2023-12-18 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2023-12-18_final
2023-12-18 11:23:35	ga_s2bm_ard_3-2-1_52KBA_2023-12-18_final
2023-12-18 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2023-12-18_final
2023-12-18 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2023-12-18_final
2023-12-18 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2023-12-18_final
2023-12-19 10:53:07	ga_s2bm_ard_3-2-1_53KMS_2023-12-19_final
2023-12-19 10:53:11	ga_s2bm_ard_3-2-1_53KLS_2023-12-19_final
2023-12-19 10:53:14	ga_s2bm_ard_3-2-1_53KKS_2023-12-19_final
2023-12-19 10:53:14	ga_s2bm_ard_3-2-1_52KHB_2023-12-19_final
2023-12-19 10:53:20	ga_s2bm_ard_3-2-1_52KGB_2023-12-19_final
2023-12-19 10:53:25	ga_s2bm_ard_3-2-1_53KLR_2023-12-19_final
2023-12-19 10:53:28	ga_s2bm_ard_3-2-1_53KKR_2023-12-19_final
2023-12-19 10:53:28	ga_s2bm_ard_3-2-1_52KHA_2023-12-19_final
2023-12-19 10:53:32	ga_s2bm_ard_3-2-1_52KGA_2023-12-19_final
2023-12-20 10:22:53	ga_s2bm_ard_3-2-1_54KXB_2023-12-20_final
2023-12-20 10:22:57	ga_s2bm_ard_3-2-1_54KWB_2023-12-20_final
2023-12-20 10:23:00	ga_s2bm_ard_3-2-1_54KVB_2023-12-20_final
2023-12-20 10:23:03	ga_s2bm_ard_3-2-1_54KUB_2023-12-20_final
2023-12-20 10:23:07	ga_s2bm_ard_3-2-1_54KXA_2023-12-20_final
2023-12-20 10:23:18	ga_s2bm_ard_3-2-1_54KUA_2023-12-20_final
2024-01-27 11:23:16	ga_s2bm_ard_3-2-1_52KCB_2024-01-27_final
2024-01-27 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2024-01-27_final
2024-01-27 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2024-01-27_final
2024-01-27 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2024-01-27_final
2024-01-27 11:23:26	ga_s2bm_ard_3-2-1_52KCA_2024-01-27_final
2024-01-27 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2024-01-27_final
2024-01-27 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2024-01-27_final
2024-01-27 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2024-01-27_final
2024-01-27 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2024-01-27_final
2024-01-27 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2024-01-27_final
2024-01-29 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2024-01-29_final
2024-01-29 12:03:36	ga_s2bm_ard_3-2-1_50KMB_2024-01-29_final
2024-01-29 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2024-01-29_final
2024-01-29 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2024-01-29_final
2024-01-29 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2024-01-29_final
2024-01-29 12:03:54	ga_s2bm_ard_3-2-1_50KLA_2024-01-29_final
2024-01-29 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2024-01-29_final
2024-01-29 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2024-01-29_final
2024-01-31 09:22:37	ga_s2bm_ard_3-2-1_56KPB_2024-01-30_final
2024-01-31 09:22:50	ga_s2bm_ard_3-2-1_56KPA_2024-01-30_nrt
2024-01-31 11:03:05	ga_s2bm_ard_3-2-1_53KKS_2024-01-31_final
2024-01-31 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2024-01-31_final
2024-01-31 11:03:10	ga_s2bm_ard_3-2-1_52KGB_2024-01-31_final
2024-01-31 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2024-01-31_final
2024-01-31 11:03:16	ga_s2bm_ard_3-2-1_53KKR_2024-01-31_final
2024-01-31 11:03:17	ga_s2bm_ard_3-2-1_52KEB_2024-01-31_final
2024-01-31 11:03:20	ga_s2bm_ard_3-2-1_52KHA_2024-01-31_final
2024-01-31 11:03:25	ga_s2bm_ard_3-2-1_52KGA_2024-01-31_final
2024-01-31 11:03:28	ga_s2bm_ard_3-2-1_52KFA_2024-01-31_final
2024-02-03 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2024-02-03_final
2024-02-03 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2024-02-03_final
2024-02-03 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2024-02-03_final
2024-02-03 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2024-02-03_final
2024-02-03 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2024-02-03_final
2024-02-03 11:13:34	ga_s2bm_ard_3-2-1_52KCA_2024-02-03_final
2024-02-03 11:13:37	ga_s2bm_ard_3-2-1_52KBA_2024-02-03_final
2024-02-03 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2024-02-03_final
2024-02-05 11:53:30	ga_s2bm_ard_3-2-1_50KQB_2024-02-05_final
2024-02-05 11:53:34	ga_s2bm_ard_3-2-1_50KPB_2024-02-05_final
2024-02-05 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2024-02-05_final
2024-02-05 11:53:41	ga_s2bm_ard_3-2-1_50KMB_2024-02-05_final
2024-02-05 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2024-02-05_final
2024-02-05 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2024-02-05_final
2024-02-06 09:42:35	ga_s2bm_ard_3-2-1_56KMB_2024-02-06_final
2024-02-06 09:42:39	ga_s2bm_ard_3-2-1_56KLB_2024-02-06_final
2024-02-06 09:42:42	ga_s2bm_ard_3-2-1_56KKB_2024-02-06_final
2024-02-06 09:42:42	ga_s2bm_ard_3-2-1_55KHS_2024-02-06_final
2024-02-06 09:42:45	ga_s2bm_ard_3-2-1_55KGS_2024-02-06_final
2024-02-06 09:42:53	ga_s2bm_ard_3-2-1_56KLA_2024-02-06_final
2024-02-06 09:42:56	ga_s2bm_ard_3-2-1_56KKA_2024-02-06_final
2024-02-06 09:42:57	ga_s2bm_ard_3-2-1_55KHR_2024-02-06_final
2024-02-06 09:43:00	ga_s2bm_ard_3-2-1_55KGR_2024-02-06_final
2024-02-07 10:53:24	ga_s2bm_ard_3-2-1_53KLR_2024-02-07_final
2024-02-07 10:53:27	ga_s2bm_ard_3-2-1_53KKR_2024-02-07_final
2024-02-07 10:53:28	ga_s2bm_ard_3-2-1_52KHA_2024-02-07_final
2024-02-07 10:53:31	ga_s2bm_ard_3-2-1_52KGA_2024-02-07_final
2024-02-08 10:22:53	ga_s2bm_ard_3-2-1_54KXB_2024-02-08_final
2024-02-08 10:22:56	ga_s2bm_ard_3-2-1_54KWB_2024-02-08_final
2024-02-08 10:23:00	ga_s2bm_ard_3-2-1_54KVB_2024-02-08_final
2024-02-08 10:23:03	ga_s2bm_ard_3-2-1_54KUB_2024-02-08_final
2024-02-08 10:23:06	ga_s2bm_ard_3-2-1_54KXA_2024-02-08_final
2024-02-08 10:23:17	ga_s2bm_ard_3-2-1_54KUA_2024-02-08_final
2024-02-11 10:32:59	ga_s2bm_ard_3-2-1_54KUB_2024-02-11_final

Return to ga_s2bm_ard_3 whole collection overview

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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years