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
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_55JBN_2018-08-05_final.stac-item
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_54JYT_2018-08-05_final.stac-item
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_54JZT_2018-08-05_final.stac-item
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_54KWU_2018-08-05_final.stac-item
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_55KBP_2018-08-05_final.stac-item
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_54KXU_2018-08-05_final.stac-item
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_54KYU_2018-08-05_final.stac-item
2018-08-05 10:07:00	ga_s2bm_ard_3-2-1_54KZU_2018-08-05_final.stac-item
2018-08-05 10:13:40	ga_s2bm_ard_3-2-1_54KWU_2018-08-05_final.stac-item
2018-08-05 10:13:40	ga_s2bm_ard_3-2-1_54KXU_2018-08-05_final.stac-item
2018-08-09 09:50:49	ga_s2bm_ard_3-2-1_55KDP_2018-08-09_final.stac-item
2018-08-09 09:50:49	ga_s2bm_ard_3-2-1_55KEP_2018-08-09_final.stac-item
2018-08-09 09:50:49	ga_s2bm_ard_3-2-1_55KFP_2018-08-09_final.stac-item
2018-08-09 09:50:49	ga_s2bm_ard_3-2-1_55KGP_2018-08-09_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_54JTT_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JQN_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JRN_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53KPP_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_54KTU_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53KQP_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_54KUU_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53KRP_2018-08-11_final.stac-item
2018-08-12 09:57:02	ga_s2bm_ard_3-2-1_55JBN_2018-08-12_final.stac-item
2018-08-12 09:57:02	ga_s2bm_ard_3-2-1_54JYT_2018-08-12_final.stac-item
2018-08-12 09:57:02	ga_s2bm_ard_3-2-1_54JZT_2018-08-12_final.stac-item
2018-08-12 09:57:02	ga_s2bm_ard_3-2-1_55KBP_2018-08-12_final.stac-item
2018-08-12 09:57:02	ga_s2bm_ard_3-2-1_55KCP_2018-08-12_final.stac-item
2018-08-12 09:57:02	ga_s2bm_ard_3-2-1_54KYU_2018-08-12_final.stac-item
2018-08-12 09:57:02	ga_s2bm_ard_3-2-1_55KDP_2018-08-12_final.stac-item
2018-08-12 09:57:02	ga_s2bm_ard_3-2-1_54KZU_2018-08-12_final.stac-item
2018-08-15 10:06:58	ga_s2bm_ard_3-2-1_55JBN_2018-08-15_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
2018-08-22 09:57:00	ga_s2bm_ard_3-2-1_55JBN_2018-08-22_final.stac-item
2018-08-22 09:57:00	ga_s2bm_ard_3-2-1_54JYT_2018-08-22_final.stac-item
2018-08-22 09:57:00	ga_s2bm_ard_3-2-1_54JZT_2018-08-22_final.stac-item
2018-08-22 09:57:00	ga_s2bm_ard_3-2-1_55KBP_2018-08-22_final.stac-item
2018-08-22 09:57:00	ga_s2bm_ard_3-2-1_55KCP_2018-08-22_final.stac-item
2018-08-22 09:57:00	ga_s2bm_ard_3-2-1_54KYU_2018-08-22_final.stac-item
2018-08-22 09:57:00	ga_s2bm_ard_3-2-1_55KDP_2018-08-22_final.stac-item
2018-08-22 09:57:00	ga_s2bm_ard_3-2-1_54KZU_2018-08-22_final.stac-item
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_52KBU_2018-10-22_final.stac-item
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_51JZN_2018-10-22_final.stac-item
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_52KCU_2018-10-22_final.stac-item
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_52KDU_2018-10-22_final.stac-item
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_52KEU_2018-10-22_final.stac-item
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_51KZP_2018-10-22_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50KLU_2018-11-03_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50KMU_2018-11-03_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50KNU_2018-11-03_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50KPU_2018-11-03_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50KQU_2018-11-03_final.stac-item
2018-11-10 10:03:29	ga_s2bm_ard_3-2-1_55KDP_2018-11-10_final.stac-item
2018-11-10 10:03:33	ga_s2bm_ard_3-2-1_55KCP_2018-11-10_final.stac-item
2018-11-10 10:03:36	ga_s2bm_ard_3-2-1_55KBP_2018-11-10_final.stac-item
2018-11-10 10:03:36	ga_s2bm_ard_3-2-1_54KZU_2018-11-10_final.stac-item
2018-11-10 10:03:40	ga_s2bm_ard_3-2-1_54KYU_2018-11-10_final.stac-item
2018-11-10 10:03:50	ga_s2bm_ard_3-2-1_54JZT_2018-11-10_final.stac-item
2018-11-10 10:03:50	ga_s2bm_ard_3-2-1_55JBN_2018-11-10_final.stac-item
2018-11-10 10:03:53	ga_s2bm_ard_3-2-1_54JYT_2018-11-10_final.stac-item
2018-11-12 10:43:45	ga_s2bm_ard_3-2-1_53KPP_2018-11-12_final.stac-item
2018-11-12 10:43:49	ga_s2bm_ard_3-2-1_53KNP_2018-11-12_final.stac-item
2018-11-12 10:43:52	ga_s2bm_ard_3-2-1_53KMP_2018-11-12_final.stac-item
2018-11-12 10:43:56	ga_s2bm_ard_3-2-1_53KLP_2018-11-12_final.stac-item
2018-11-16 10:23:37	ga_s2bm_ard_3-2-1_54KWU_2018-11-16_final.stac-item
2018-11-16 10:23:41	ga_s2bm_ard_3-2-1_54KVU_2018-11-16_final.stac-item
2018-11-16 10:23:44	ga_s2bm_ard_3-2-1_54KUU_2018-11-16_final.stac-item
2018-11-16 10:23:47	ga_s2bm_ard_3-2-1_54KTU_2018-11-16_final.stac-item
2018-11-16 10:23:48	ga_s2bm_ard_3-2-1_53KRP_2018-11-16_final.stac-item
2018-11-16 10:24:01	ga_s2bm_ard_3-2-1_53JRN_2018-11-16_final.stac-item
2018-11-19 10:33:42	ga_s2bm_ard_3-2-1_54KUU_2018-11-19_final.stac-item
2018-11-19 10:33:44	ga_s2bm_ard_3-2-1_54KTU_2018-11-19_final.stac-item
2018-11-19 10:33:44	ga_s2bm_ard_3-2-1_53KRP_2018-11-19_final.stac-item
2018-11-19 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2018-11-19_final.stac-item
2018-11-19 10:33:50	ga_s2bm_ard_3-2-1_53KPP_2018-11-19_final.stac-item
2018-11-19 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2018-11-19_final.stac-item
2018-11-19 10:33:57	ga_s2bm_ard_3-2-1_54JTT_2018-11-19_final.stac-item
2018-11-19 10:34:01	ga_s2bm_ard_3-2-1_53JQN_2018-11-19_final.stac-item
2018-11-23 10:13:29	ga_s2bm_ard_3-2-1_55KBP_2018-11-23_final.stac-item
2018-11-23 10:13:30	ga_s2bm_ard_3-2-1_54KZU_2018-11-23_final.stac-item
2018-11-23 10:13:34	ga_s2bm_ard_3-2-1_54KYU_2018-11-23_final.stac-item
2018-11-23 10:13:38	ga_s2bm_ard_3-2-1_54KXU_2018-11-23_final.stac-item
2018-11-23 10:13:41	ga_s2bm_ard_3-2-1_55JBN_2018-11-23_final.stac-item
2018-11-23 10:13:41	ga_s2bm_ard_3-2-1_54KWU_2018-11-23_final.stac-item
2018-11-23 10:13:42	ga_s2bm_ard_3-2-1_54JZT_2018-11-23_final.stac-item
2018-11-23 10:13:48	ga_s2bm_ard_3-2-1_54JYT_2018-11-23_final.stac-item
2019-04-08 10:33:45	ga_s2bm_ard_3-2-1_54KUU_2019-04-08_final.stac-item
2019-04-08 10:33:49	ga_s2bm_ard_3-2-1_54KTU_2019-04-08_final.stac-item
2019-04-08 10:33:49	ga_s2bm_ard_3-2-1_53KRP_2019-04-08_final.stac-item
2019-04-08 10:33:53	ga_s2bm_ard_3-2-1_53KQP_2019-04-08_final.stac-item
2019-04-21 10:43:54	ga_s2bm_ard_3-2-1_53KPP_2019-04-21_final.stac-item
2019-04-21 10:43:58	ga_s2bm_ard_3-2-1_53KNP_2019-04-21_final.stac-item
2019-04-21 10:44:01	ga_s2bm_ard_3-2-1_53KMP_2019-04-21_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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