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
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_52KBU_2018-08-06_final.stac-item
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51JYN_2018-08-06_final.stac-item
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51JZN_2018-08-06_final.stac-item
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KWP_2018-08-06_final.stac-item
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KXP_2018-08-06_final.stac-item
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KYP_2018-08-06_final.stac-item
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KZP_2018-08-06_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KGP_2018-08-11_final.stac-item
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHP_2018-08-11_final.stac-item
2018-08-15 10:06:58	ga_s2bm_ard_3-2-1_54JYT_2018-08-15_final.stac-item
2018-08-15 10:06:58	ga_s2bm_ard_3-2-1_54JZT_2018-08-15_final.stac-item
2018-08-15 10:06:58	ga_s2bm_ard_3-2-1_54KWU_2018-08-15_final.stac-item
2018-08-15 10:06:58	ga_s2bm_ard_3-2-1_55KBP_2018-08-15_final.stac-item
2018-08-15 10:06:58	ga_s2bm_ard_3-2-1_54KXU_2018-08-15_final.stac-item
2018-08-15 10:06:58	ga_s2bm_ard_3-2-1_54KYU_2018-08-15_final.stac-item
2018-08-15 10:06:58	ga_s2bm_ard_3-2-1_54KZU_2018-08-15_final.stac-item
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54KWU_2018-08-15_final.stac-item
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54KXU_2018-08-15_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_56KKU_2018-08-16_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_56KLU_2018-08-16_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55JGN_2018-08-16_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55JHN_2018-08-16_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55KFP_2018-08-16_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55KGP_2018-08-16_final.stac-item
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55KHP_2018-08-16_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_52KBU_2018-08-16_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51JYN_2018-08-16_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51JZN_2018-08-16_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KXP_2018-08-16_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KYP_2018-08-16_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KZP_2018-08-16_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JQN_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JRN_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53KPP_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_54KTU_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53KQP_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_54KUU_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53KRP_2018-08-21_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGP_2018-08-21_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KHP_2018-08-21_final.stac-item
2018-12-06 10:23:41	ga_s2bm_ard_3-2-1_54KUU_2018-12-06_final.stac-item
2018-12-06 10:23:44	ga_s2bm_ard_3-2-1_54KTU_2018-12-06_final.stac-item
2018-12-06 10:23:59	ga_s2bm_ard_3-2-1_53JRN_2018-12-06_final.stac-item
2018-12-20 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2018-12-20_final.stac-item
2018-12-20 11:44:11	ga_s2bm_ard_3-2-1_50KRU_2018-12-20_final.stac-item
2018-12-20 11:44:11	ga_s2bm_ard_3-2-1_51KTP_2018-12-20_final.stac-item
2018-12-20 11:44:14	ga_s2bm_ard_3-2-1_50KQU_2018-12-20_final.stac-item
2018-12-20 11:44:19	ga_s2bm_ard_3-2-1_50JRT_2018-12-20_final.stac-item
2018-12-20 11:44:19	ga_s2bm_ard_3-2-1_51KTP_2018-12-20_final.stac-item
2018-12-20 11:44:19	ga_s2bm_ard_3-2-1_50KRU_2018-12-20_final.stac-item
2018-12-21 09:33:20	ga_s2bm_ard_3-2-1_56KMU_2018-12-21_final.stac-item
2018-12-21 09:33:23	ga_s2bm_ard_3-2-1_56KLU_2018-12-21_final.stac-item
2018-12-27 11:34:02	ga_s2bm_ard_3-2-1_51KXP_2018-12-27_final.stac-item
2018-12-27 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2018-12-27_final.stac-item
2018-12-27 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2018-12-27_final.stac-item
2018-12-27 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2018-12-27_final.stac-item
2018-12-27 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2018-12-27_final.stac-item
2018-12-31 09:33:22	ga_s2bm_ard_3-2-1_56KMU_2018-12-31_final.stac-item
2018-12-31 09:33:25	ga_s2bm_ard_3-2-1_56KLU_2018-12-31_final.stac-item
2019-01-02 11:54:11	ga_s2bm_ard_3-2-1_50KQU_2019-01-02_final.stac-item
2019-01-02 11:54:16	ga_s2bm_ard_3-2-1_50KPU_2019-01-02_final.stac-item
2019-01-02 11:54:20	ga_s2bm_ard_3-2-1_50KNU_2019-01-02_final.stac-item
2019-01-02 11:54:24	ga_s2bm_ard_3-2-1_50KMU_2019-01-02_final.stac-item
2019-01-02 11:54:31	ga_s2bm_ard_3-2-1_50KLU_2019-01-02_final.stac-item
2019-01-05 12:04:20	ga_s2bm_ard_3-2-1_50KMU_2019-01-05_final.stac-item
2019-01-05 12:04:23	ga_s2bm_ard_3-2-1_50KLU_2019-01-05_final.stac-item
2019-01-05 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2019-01-05_final.stac-item
2019-01-05 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2019-01-05_final.stac-item
2019-01-05 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-01-05_final.stac-item
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-01-05_final.stac-item
2019-01-05 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2019-01-05_final.stac-item
2020-03-15 11:13:55	ga_s2bm_ard_3-2-1_52KEU_2020-03-15_final.stac-item
2020-03-15 11:14:00	ga_s2bm_ard_3-2-1_52KDU_2020-03-15_final.stac-item
2020-03-15 11:14:04	ga_s2bm_ard_3-2-1_52KCU_2020-03-15_final.stac-item
2020-03-15 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2020-03-15_final.stac-item
2020-03-15 11:14:07	ga_s2bm_ard_3-2-1_52KBU_2020-03-15_final.stac-item
2020-03-15 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2020-03-15_final.stac-item
2020-03-21 11:34:03	ga_s2bm_ard_3-2-1_51KXP_2020-03-21_final.stac-item
2020-03-21 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2020-03-21_final.stac-item
2020-03-21 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2020-03-21_final.stac-item
2020-03-21 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2020-03-21_final.stac-item
2020-03-25 11:13:55	ga_s2bm_ard_3-2-1_52KEU_2020-03-25_final.stac-item
2020-03-25 11:14:00	ga_s2bm_ard_3-2-1_52KDU_2020-03-25_final.stac-item
2020-03-25 11:14:03	ga_s2bm_ard_3-2-1_52KCU_2020-03-25_final.stac-item
2020-03-25 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2020-03-25_final.stac-item
2020-03-25 11:14:07	ga_s2bm_ard_3-2-1_52KBU_2020-03-25_final.stac-item
2020-03-25 11:14:20	ga_s2bm_ard_3-2-1_51JZN_2020-03-25_final.stac-item
2020-03-30 12:04:19	ga_s2bm_ard_3-2-1_50KMU_2020-03-30_final.stac-item
2020-03-30 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2020-03-30_final.stac-item
2020-03-30 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2020-03-30_final.stac-item
2020-03-30 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2020-03-30_final.stac-item
2020-03-30 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2020-03-30_final.stac-item
2020-03-30 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-03-30_final.stac-item
2020-03-30 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2020-03-30_final.stac-item
2020-04-09 12:04:18	ga_s2bm_ard_3-2-1_50KMU_2020-04-09_final.stac-item
2020-04-09 12:04:21	ga_s2bm_ard_3-2-1_50KLU_2020-04-09_final.stac-item
2020-04-09 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2020-04-09_final.stac-item
2020-04-09 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2020-04-09_final.stac-item
2020-04-09 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2020-04-09_final.stac-item
2020-04-09 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2020-04-09_final.stac-item

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

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