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
2018-01-18 09:42:05	ga_s2bm_ard_3-2-1_56JKT_2018-01-18_final.stac-item
2018-01-18 09:42:05	ga_s2bm_ard_3-2-1_56JLT_2018-01-18_final.stac-item
2018-01-18 09:42:05	ga_s2bm_ard_3-2-1_55JFN_2018-01-18_final.stac-item
2018-01-18 09:42:05	ga_s2bm_ard_3-2-1_55JGN_2018-01-18_final.stac-item
2018-01-18 09:42:05	ga_s2bm_ard_3-2-1_55JHM_2018-01-18_final.stac-item
2018-01-18 09:42:05	ga_s2bm_ard_3-2-1_55JHN_2018-01-18_final.stac-item
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_53JNN_2018-01-23_final.stac-item
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_53JPN_2018-01-23_final.stac-item
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_54JTT_2018-01-23_final.stac-item
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_53JQN_2018-01-23_final.stac-item
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_53JRN_2018-01-23_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JFN_2018-01-23_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JGN_2018-01-23_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51JTN_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51JUN_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JPT_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JQT_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JRS_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JRT_2018-01-24_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JTN_2018-01-31_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JUN_2018-01-31_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVN_2018-01-31_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JWN_2018-01-31_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50JRS_2018-01-31_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50JRT_2018-01-31_final.stac-item
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JNN_2018-02-02_final.stac-item
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JPN_2018-02-02_final.stac-item
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_54JTT_2018-02-02_final.stac-item
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JQN_2018-02-02_final.stac-item
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JRN_2018-02-02_final.stac-item
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JFN_2018-02-02_final.stac-item
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49JGN_2018-02-02_final.stac-item
2018-02-07 09:42:06	ga_s2bm_ard_3-2-1_56JKT_2018-02-07_final.stac-item
2018-02-07 09:42:06	ga_s2bm_ard_3-2-1_56JLT_2018-02-07_final.stac-item
2018-02-07 09:42:06	ga_s2bm_ard_3-2-1_55JFN_2018-02-07_final.stac-item
2018-02-07 09:42:06	ga_s2bm_ard_3-2-1_55JGN_2018-02-07_final.stac-item
2018-02-07 09:42:06	ga_s2bm_ard_3-2-1_55JHM_2018-02-07_final.stac-item
2018-02-07 09:42:06	ga_s2bm_ard_3-2-1_55JHN_2018-02-07_final.stac-item
2019-08-12 10:54:15	ga_s2bm_ard_3-2-1_53JLN_2019-08-12_final.stac-item
2019-08-12 10:54:18	ga_s2bm_ard_3-2-1_52JHT_2019-08-12_final.stac-item
2019-08-12 10:54:19	ga_s2bm_ard_3-2-1_53JKN_2019-08-12_final.stac-item
2019-08-12 10:54:22	ga_s2bm_ard_3-2-1_52JGT_2019-08-12_final.stac-item
2019-08-12 10:54:28	ga_s2bm_ard_3-2-1_52JFT_2019-08-12_final.stac-item
2019-08-12 10:54:33	ga_s2bm_ard_3-2-1_52JHS_2019-08-12_final.stac-item
2019-08-23 10:24:00	ga_s2bm_ard_3-2-1_54JWT_2019-08-23_final.stac-item
2019-08-23 10:24:03	ga_s2bm_ard_3-2-1_54JVT_2019-08-23_final.stac-item
2019-08-23 10:24:06	ga_s2bm_ard_3-2-1_54JUT_2019-08-23_final.stac-item
2019-08-23 10:24:09	ga_s2bm_ard_3-2-1_53JRN_2019-08-23_final.stac-item
2019-08-23 10:24:09	ga_s2bm_ard_3-2-1_54JTT_2019-08-23_final.stac-item
2019-08-23 10:24:24	ga_s2bm_ard_3-2-1_53JRM_2019-08-23_final.stac-item
2019-11-08 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2019-11-08_final.stac-item
2019-11-08 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2019-11-08_final.stac-item
2019-11-08 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2019-11-08_final.stac-item
2019-11-08 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2019-11-08_final.stac-item
2019-11-18 11:54:31	ga_s2bm_ard_3-2-1_50JPT_2019-11-18_final.stac-item
2019-11-18 11:54:35	ga_s2bm_ard_3-2-1_50JNT_2019-11-18_final.stac-item
2019-11-18 11:54:38	ga_s2bm_ard_3-2-1_50JMT_2019-11-18_final.stac-item
2019-11-18 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2019-11-18_final.stac-item
2021-08-27 09:33:33	ga_s2bm_ard_3-2-1_56JNT_2021-08-27_final.stac-item
2021-08-27 09:33:37	ga_s2bm_ard_3-2-1_56JMT_2021-08-27_final.stac-item
2021-08-27 09:33:40	ga_s2bm_ard_3-2-1_56JLT_2021-08-27_final.stac-item
2021-08-27 09:33:59	ga_s2bm_ard_3-2-1_55JHM_2021-08-27_final.stac-item
2021-08-29 10:13:43	ga_s2bm_ard_3-2-1_54JZT_2021-08-29_final.stac-item
2021-08-29 10:13:49	ga_s2bm_ard_3-2-1_54JYT_2021-08-29_final.stac-item
2021-08-29 10:13:53	ga_s2bm_ard_3-2-1_54JXT_2021-08-29_final.stac-item
2021-08-29 10:13:57	ga_s2bm_ard_3-2-1_54JWT_2021-08-29_final.stac-item
2021-08-29 10:14:03	ga_s2bm_ard_3-2-1_54JVT_2021-08-29_final.stac-item
2021-09-02 09:53:35	ga_s2bm_ard_3-2-1_55JGN_2021-09-02_final.stac-item
2021-09-02 09:53:40	ga_s2bm_ard_3-2-1_55JFN_2021-09-02_final.stac-item
2021-09-02 09:53:44	ga_s2bm_ard_3-2-1_55JEN_2021-09-02_final.stac-item
2021-09-02 09:53:47	ga_s2bm_ard_3-2-1_55JDN_2021-09-02_final.stac-item
2021-09-02 09:53:55	ga_s2bm_ard_3-2-1_55JCN_2021-09-02_final.stac-item
2021-09-03 09:23:36	ga_s2bm_ard_3-2-1_56JNT_2021-09-02_final.stac-item
2021-09-08 10:13:42	ga_s2bm_ard_3-2-1_54JZT_2021-09-08_final.stac-item
2021-09-08 10:13:48	ga_s2bm_ard_3-2-1_54JYT_2021-09-08_final.stac-item
2021-09-08 10:13:52	ga_s2bm_ard_3-2-1_54JXT_2021-09-08_final.stac-item
2021-09-08 10:13:56	ga_s2bm_ard_3-2-1_54JWT_2021-09-08_final.stac-item
2021-09-08 10:14:02	ga_s2bm_ard_3-2-1_54JVT_2021-09-08_final.stac-item
2021-09-11 10:23:51	ga_s2bm_ard_3-2-1_54JWT_2021-09-11_final.stac-item
2021-09-11 10:23:54	ga_s2bm_ard_3-2-1_54JVT_2021-09-11_final.stac-item
2021-09-11 10:23:58	ga_s2bm_ard_3-2-1_54JUT_2021-09-11_final.stac-item
2021-09-11 10:24:00	ga_s2bm_ard_3-2-1_53JRN_2021-09-11_final.stac-item
2021-09-11 10:24:00	ga_s2bm_ard_3-2-1_54JTT_2021-09-11_final.stac-item
2021-09-11 10:24:15	ga_s2bm_ard_3-2-1_53JRM_2021-09-11_final.stac-item
2022-03-21 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2022-03-21_final.stac-item
2022-03-21 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2022-03-21_final.stac-item
2022-03-21 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2022-03-21_final.stac-item
2022-03-21 11:34:34	ga_s2bm_ard_3-2-1_51JTN_2022-03-21_final.stac-item
2022-03-21 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2022-03-21_final.stac-item
2022-03-21 11:34:47	ga_s2bm_ard_3-2-1_50JRS_2022-03-21_final.stac-item
2022-03-25 09:33:33	ga_s2bm_ard_3-2-1_56JNT_2022-03-25_final.stac-item
2022-03-25 09:33:37	ga_s2bm_ard_3-2-1_56JMT_2022-03-25_final.stac-item
2022-03-25 09:33:40	ga_s2bm_ard_3-2-1_56JLT_2022-03-25_final.stac-item
2022-03-25 09:33:47	ga_s2bm_ard_3-2-1_56JKT_2022-03-25_final.stac-item
2022-03-25 09:33:58	ga_s2bm_ard_3-2-1_55JHM_2022-03-25_final.stac-item
2022-03-27 11:54:30	ga_s2bm_ard_3-2-1_50JPT_2022-03-27_final.stac-item
2022-03-27 11:54:34	ga_s2bm_ard_3-2-1_50JNT_2022-03-27_final.stac-item
2022-03-27 11:54:38	ga_s2bm_ard_3-2-1_50JMT_2022-03-27_final.stac-item
2022-03-27 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2022-03-27_final.stac-item
2022-03-29 10:54:05	ga_s2bm_ard_3-2-1_53JLN_2022-03-29_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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