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
2019-07-27 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-07-27_final.stac-item
2019-07-27 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-07-27_final.stac-item
2019-07-27 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-07-27_final.stac-item
2019-07-29 09:33:44	ga_s2bm_ard_3-2-1_56JNT_2019-07-29_final.stac-item
2019-07-29 09:33:47	ga_s2bm_ard_3-2-1_56JMT_2019-07-29_final.stac-item
2019-07-29 09:33:51	ga_s2bm_ard_3-2-1_56JLT_2019-07-29_final.stac-item
2019-07-29 09:33:58	ga_s2bm_ard_3-2-1_56JKT_2019-07-29_final.stac-item
2019-07-29 09:34:09	ga_s2bm_ard_3-2-1_55JHM_2019-07-29_final.stac-item
2019-07-29 11:14:25	ga_s2bm_ard_3-2-1_52JDT_2019-07-29_final.stac-item
2019-07-29 11:14:28	ga_s2bm_ard_3-2-1_52JCT_2019-07-29_final.stac-item
2019-07-29 11:14:31	ga_s2bm_ard_3-2-1_51JZN_2019-07-29_final.stac-item
2019-07-29 11:14:31	ga_s2bm_ard_3-2-1_52JBT_2019-07-29_final.stac-item
2019-07-29 11:14:37	ga_s2bm_ard_3-2-1_51JYN_2019-07-29_final.stac-item
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_52JBT_2019-07-29_final.stac-item
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_51JZN_2019-07-29_final.stac-item
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_51JZM_2019-07-29_final.stac-item
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_52JBS_2019-07-29_final.stac-item
2019-07-29 11:14:41	ga_s2bm_ard_3-2-1_51JYN_2019-07-29_final.stac-item
2019-07-29 11:14:41	ga_s2bm_ard_3-2-1_51JYM_2019-07-29_final.stac-item
2019-07-29 11:14:46	ga_s2bm_ard_3-2-1_51JZM_2019-07-29_final.stac-item
2019-07-29 11:14:46	ga_s2bm_ard_3-2-1_52JBS_2019-07-29_final.stac-item
2019-07-29 11:14:49	ga_s2bm_ard_3-2-1_51JYM_2019-07-29_final.stac-item
2019-07-31 11:54:41	ga_s2bm_ard_3-2-1_50JPT_2019-07-31_final.stac-item
2019-07-31 11:54:45	ga_s2bm_ard_3-2-1_50JNT_2019-07-31_final.stac-item
2019-07-31 11:54:48	ga_s2bm_ard_3-2-1_50JMT_2019-07-31_final.stac-item
2019-07-31 11:54:52	ga_s2bm_ard_3-2-1_50JLT_2019-07-31_final.stac-item
2019-08-03 12:04:43	ga_s2bm_ard_3-2-1_50JMT_2019-08-03_final.stac-item
2019-08-03 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2019-08-03_final.stac-item
2019-08-03 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-08-03_final.stac-item
2019-08-03 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2019-08-03_final.stac-item
2019-08-03 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-08-03_final.stac-item
2019-08-03 12:05:04	ga_s2bm_ard_3-2-1_49JHM_2019-08-03_final.stac-item
2019-08-03 12:05:05	ga_s2bm_ard_3-2-1_50JKS_2019-08-03_final.stac-item
2019-08-03 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-08-03_final.stac-item
2019-08-04 11:34:33	ga_s2bm_ard_3-2-1_51JWN_2019-08-04_final.stac-item
2019-08-04 11:34:36	ga_s2bm_ard_3-2-1_51JVN_2019-08-04_final.stac-item
2019-08-04 11:34:40	ga_s2bm_ard_3-2-1_51JUN_2019-08-04_final.stac-item
2019-08-04 11:34:44	ga_s2bm_ard_3-2-1_51JTN_2019-08-04_final.stac-item
2019-08-04 11:34:44	ga_s2bm_ard_3-2-1_50JRT_2019-08-04_final.stac-item
2019-08-04 11:34:57	ga_s2bm_ard_3-2-1_50JRS_2019-08-04_final.stac-item
2019-08-09 10:44:10	ga_s2bm_ard_3-2-1_53JPN_2019-08-09_final.stac-item
2019-08-09 10:44:13	ga_s2bm_ard_3-2-1_53JNN_2019-08-09_final.stac-item
2019-08-09 10:44:17	ga_s2bm_ard_3-2-1_53JMN_2019-08-09_final.stac-item
2019-08-09 10:44:20	ga_s2bm_ard_3-2-1_53JLN_2019-08-09_final.stac-item
2019-08-10 11:54:40	ga_s2bm_ard_3-2-1_50JPT_2019-08-10_final.stac-item
2019-08-10 11:54:44	ga_s2bm_ard_3-2-1_50JNT_2019-08-10_final.stac-item
2019-08-10 11:54:47	ga_s2bm_ard_3-2-1_50JMT_2019-08-10_final.stac-item
2019-08-10 11:54:51	ga_s2bm_ard_3-2-1_50JLT_2019-08-10_final.stac-item
2019-08-18 09:33:41	ga_s2bm_ard_3-2-1_56JNT_2019-08-18_final.stac-item
2019-08-18 09:33:45	ga_s2bm_ard_3-2-1_56JMT_2019-08-18_final.stac-item
2019-08-18 09:33:48	ga_s2bm_ard_3-2-1_56JLT_2019-08-18_final.stac-item
2019-08-18 09:33:56	ga_s2bm_ard_3-2-1_56JKT_2019-08-18_final.stac-item
2019-08-18 09:34:07	ga_s2bm_ard_3-2-1_55JHM_2019-08-18_final.stac-item
2019-08-18 11:14:23	ga_s2bm_ard_3-2-1_52JDT_2019-08-18_final.stac-item
2019-08-18 11:14:26	ga_s2bm_ard_3-2-1_52JCT_2019-08-18_final.stac-item
2019-08-18 11:14:29	ga_s2bm_ard_3-2-1_51JZN_2019-08-18_final.stac-item
2019-08-18 11:14:29	ga_s2bm_ard_3-2-1_52JBT_2019-08-18_final.stac-item
2019-08-18 11:14:35	ga_s2bm_ard_3-2-1_51JYN_2019-08-18_final.stac-item
2019-08-18 11:14:43	ga_s2bm_ard_3-2-1_51JZM_2019-08-18_final.stac-item
2019-08-18 11:14:44	ga_s2bm_ard_3-2-1_52JBS_2019-08-18_final.stac-item
2019-08-18 11:14:47	ga_s2bm_ard_3-2-1_51JYM_2019-08-18_final.stac-item
2019-08-21 11:24:24	ga_s2bm_ard_3-2-1_51JZN_2019-08-21_final.stac-item
2019-08-21 11:24:24	ga_s2bm_ard_3-2-1_52JBT_2019-08-21_final.stac-item
2019-08-21 11:24:28	ga_s2bm_ard_3-2-1_51JYN_2019-08-21_final.stac-item
2019-08-21 11:24:32	ga_s2bm_ard_3-2-1_51JXN_2019-08-21_final.stac-item
2019-08-21 11:24:35	ga_s2bm_ard_3-2-1_51JWN_2019-08-21_final.stac-item
2019-08-21 11:24:38	ga_s2bm_ard_3-2-1_51JZM_2019-08-21_final.stac-item
2019-08-21 11:24:38	ga_s2bm_ard_3-2-1_52JBS_2019-08-21_final.stac-item
2019-08-24 09:53:43	ga_s2bm_ard_3-2-1_55JGN_2019-08-24_final.stac-item
2019-08-24 09:53:49	ga_s2bm_ard_3-2-1_55JFN_2019-08-24_final.stac-item
2019-08-24 09:53:52	ga_s2bm_ard_3-2-1_55JEN_2019-08-24_final.stac-item
2019-08-24 09:53:56	ga_s2bm_ard_3-2-1_55JDN_2019-08-24_final.stac-item
2019-08-24 09:54:03	ga_s2bm_ard_3-2-1_55JCN_2019-08-24_final.stac-item
2019-09-05 10:34:10	ga_s2bm_ard_3-2-1_53JPN_2019-09-05_final.stac-item
2019-09-05 10:34:16	ga_s2bm_ard_3-2-1_53JNN_2019-09-05_final.stac-item
2019-09-05 10:34:17	ga_s2bm_ard_3-2-1_54JTS_2019-09-05_final.stac-item
2020-05-17 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2020-05-17_final.stac-item
2020-05-17 11:24:18	ga_s2bm_ard_3-2-1_52JBT_2020-05-17_final.stac-item
2020-05-17 11:24:22	ga_s2bm_ard_3-2-1_51JYN_2020-05-17_final.stac-item
2020-05-17 11:24:26	ga_s2bm_ard_3-2-1_51JXN_2020-05-17_final.stac-item
2020-05-19 10:23:54	ga_s2bm_ard_3-2-1_54JWT_2020-05-19_final.stac-item
2020-05-19 10:23:58	ga_s2bm_ard_3-2-1_54JVT_2020-05-19_final.stac-item
2020-05-19 10:24:01	ga_s2bm_ard_3-2-1_54JUT_2020-05-19_final.stac-item
2020-05-19 10:24:04	ga_s2bm_ard_3-2-1_53JRN_2020-05-19_final.stac-item
2020-05-19 10:24:04	ga_s2bm_ard_3-2-1_54JTT_2020-05-19_final.stac-item
2020-05-19 10:24:19	ga_s2bm_ard_3-2-1_53JRM_2020-05-19_final.stac-item
2020-06-01 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-06-01_final.stac-item
2020-06-01 12:14:47	ga_s2bm_ard_3-2-1_49JFN_2020-06-01_final.stac-item
2020-06-01 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-01_final.stac-item
2020-06-02 10:03:48	ga_s2bm_ard_3-2-1_55JDN_2020-06-02_final.stac-item
2020-06-02 10:03:51	ga_s2bm_ard_3-2-1_55JCN_2020-06-02_final.stac-item
2020-06-02 10:03:54	ga_s2bm_ard_3-2-1_54JZT_2020-06-02_final.stac-item
2020-06-02 10:03:54	ga_s2bm_ard_3-2-1_55JBN_2020-06-02_final.stac-item
2020-06-02 10:03:58	ga_s2bm_ard_3-2-1_54JYT_2020-06-02_final.stac-item
2020-06-02 10:04:06	ga_s2bm_ard_3-2-1_54JZS_2020-06-02_final.stac-item
2020-06-02 10:04:06	ga_s2bm_ard_3-2-1_55JBM_2020-06-02_final.stac-item
2020-06-02 10:04:07	ga_s2bm_ard_3-2-1_54JYS_2020-06-02_final.stac-item
2020-06-05 11:54:35	ga_s2bm_ard_3-2-1_50JPT_2020-06-05_final.stac-item
2020-06-05 11:54:39	ga_s2bm_ard_3-2-1_50JNT_2020-06-05_final.stac-item
2020-06-05 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2020-06-05_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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