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 09:43:46	ga_s2bm_ard_3-2-1_55GCN_2018-01-18_final.stac-item
2018-01-18 09:43:46	ga_s2bm_ard_3-2-1_55GDN_2018-01-18_final.stac-item
2018-01-22 09:23:49	ga_s2bm_ard_3-2-1_55GEN_2018-01-21_final.stac-item
2018-01-22 09:23:49	ga_s2bm_ard_3-2-1_55GFN_2018-01-21_final.stac-item
2018-02-01 09:23:18	ga_s2bm_ard_3-2-1_55GEN_2018-01-31_final.stac-item
2018-02-01 09:23:18	ga_s2bm_ard_3-2-1_55GFN_2018-01-31_final.stac-item
2018-02-04 09:32:54	ga_s2bm_ard_3-2-1_55GCN_2018-02-04_final.stac-item
2018-02-04 09:32:54	ga_s2bm_ard_3-2-1_55GDN_2018-02-04_final.stac-item
2018-02-04 09:32:54	ga_s2bm_ard_3-2-1_55GEN_2018-02-04_final.stac-item
2018-02-04 09:32:54	ga_s2bm_ard_3-2-1_55GFN_2018-02-04_final.stac-item
2018-02-07 09:43:47	ga_s2bm_ard_3-2-1_55GCN_2018-02-07_final.stac-item
2018-02-07 09:43:47	ga_s2bm_ard_3-2-1_55GDN_2018-02-07_final.stac-item
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_55GCN_2018-03-26_final.stac-item
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_55GDN_2018-03-26_final.stac-item
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_55GEN_2018-03-26_final.stac-item
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_55GFN_2018-03-26_final.stac-item
2018-04-12 09:22:42	ga_s2bm_ard_3-2-1_55GEN_2018-04-11_final.stac-item
2018-04-12 09:22:42	ga_s2bm_ard_3-2-1_55GFN_2018-04-11_final.stac-item
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_55GCN_2018-04-18_final.stac-item
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_55GDN_2018-04-18_final.stac-item
2018-04-22 09:22:43	ga_s2bm_ard_3-2-1_55GEN_2018-04-21_final.stac-item
2018-04-22 09:22:43	ga_s2bm_ard_3-2-1_55GFN_2018-04-21_final.stac-item
2018-04-25 09:32:38	ga_s2bm_ard_3-2-1_55GCN_2018-04-25_final.stac-item
2018-04-25 09:32:38	ga_s2bm_ard_3-2-1_55GDN_2018-04-25_final.stac-item
2018-04-25 09:32:38	ga_s2bm_ard_3-2-1_55GEN_2018-04-25_final.stac-item
2018-04-25 09:32:38	ga_s2bm_ard_3-2-1_55GFN_2018-04-25_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55GCN_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55GDN_2018-04-28_final.stac-item
2018-05-02 09:22:43	ga_s2bm_ard_3-2-1_55GEN_2018-05-01_final.stac-item
2018-05-02 09:22:43	ga_s2bm_ard_3-2-1_55GFN_2018-05-01_final.stac-item
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_55GCN_2018-05-05_final.stac-item
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_55GDN_2018-05-05_final.stac-item
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_55GEN_2018-05-05_final.stac-item
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_55GFN_2018-05-05_final.stac-item
2018-05-08 09:41:07	ga_s2bm_ard_3-2-1_55GCN_2018-05-08_final.stac-item
2018-05-08 09:41:07	ga_s2bm_ard_3-2-1_55GDN_2018-05-08_final.stac-item
2020-09-11 09:38:43	ga_s2bm_ard_3-2-1_55GFN_2020-09-11_final.stac-item
2020-09-11 09:38:47	ga_s2bm_ard_3-2-1_55GEN_2020-09-11_final.stac-item
2020-09-11 09:38:51	ga_s2bm_ard_3-2-1_55GDN_2020-09-11_final.stac-item
2020-09-11 09:38:55	ga_s2bm_ard_3-2-1_55GCN_2020-09-11_final.stac-item
2020-09-14 09:48:47	ga_s2bm_ard_3-2-1_55GDN_2020-09-14_final.stac-item
2020-09-14 09:48:51	ga_s2bm_ard_3-2-1_55GCN_2020-09-14_final.stac-item
2020-12-23 09:48:42	ga_s2bm_ard_3-2-1_55GDN_2020-12-23_final.stac-item
2020-12-23 09:48:46	ga_s2bm_ard_3-2-1_55GCN_2020-12-23_final.stac-item
2020-12-27 09:28:42	ga_s2bm_ard_3-2-1_55GFN_2020-12-26_final.stac-item
2020-12-27 09:28:46	ga_s2bm_ard_3-2-1_55GEN_2020-12-26_final.stac-item
2020-12-30 09:38:39	ga_s2bm_ard_3-2-1_55GFN_2020-12-30_final.stac-item
2020-12-30 09:38:43	ga_s2bm_ard_3-2-1_55GEN_2020-12-30_final.stac-item
2021-01-02 09:48:44	ga_s2bm_ard_3-2-1_55GDN_2021-01-02_final.stac-item
2021-01-02 09:48:47	ga_s2bm_ard_3-2-1_55GCN_2021-01-02_final.stac-item
2021-01-06 09:28:44	ga_s2bm_ard_3-2-1_55GFN_2021-01-05_final.stac-item
2021-01-06 09:28:48	ga_s2bm_ard_3-2-1_55GEN_2021-01-05_final.stac-item
2021-01-09 09:38:40	ga_s2bm_ard_3-2-1_55GFN_2021-01-09_final.stac-item
2021-11-28 09:48:41	ga_s2bm_ard_3-2-1_55GDN_2021-11-28_final.stac-item
2021-11-28 09:48:44	ga_s2bm_ard_3-2-1_55GCN_2021-11-28_final.stac-item
2021-12-02 09:28:40	ga_s2bm_ard_3-2-1_55GFN_2021-12-01_final.stac-item
2021-12-02 09:28:44	ga_s2bm_ard_3-2-1_55GEN_2021-12-01_final.stac-item
2021-12-08 09:48:40	ga_s2bm_ard_3-2-1_55GDN_2021-12-08_final.stac-item
2021-12-08 09:48:44	ga_s2bm_ard_3-2-1_55GCN_2021-12-08_final.stac-item
2021-12-15 09:38:35	ga_s2bm_ard_3-2-1_55GFN_2021-12-15_final.stac-item
2021-12-15 09:38:39	ga_s2bm_ard_3-2-1_55GEN_2021-12-15_final.stac-item
2021-12-15 09:38:43	ga_s2bm_ard_3-2-1_55GDN_2021-12-15_final.stac-item
2021-12-15 09:38:46	ga_s2bm_ard_3-2-1_55GCN_2021-12-15_final.stac-item
2021-12-18 09:48:43	ga_s2bm_ard_3-2-1_55GCN_2021-12-18_final.stac-item
2021-12-22 09:28:39	ga_s2bm_ard_3-2-1_55GFN_2021-12-21_final.stac-item
2021-12-22 09:28:44	ga_s2bm_ard_3-2-1_55GEN_2021-12-21_final.stac-item
2021-12-25 09:38:36	ga_s2bm_ard_3-2-1_55GFN_2021-12-25_final.stac-item
2021-12-25 09:38:40	ga_s2bm_ard_3-2-1_55GEN_2021-12-25_final.stac-item
2021-12-25 09:38:44	ga_s2bm_ard_3-2-1_55GDN_2021-12-25_final.stac-item
2021-12-25 09:38:48	ga_s2bm_ard_3-2-1_55GCN_2021-12-25_final.stac-item
2022-01-14 09:38:37	ga_s2bm_ard_3-2-1_55GFN_2022-01-14_final.stac-item
2022-01-14 09:38:41	ga_s2bm_ard_3-2-1_55GEN_2022-01-14_final.stac-item
2022-01-14 09:38:45	ga_s2bm_ard_3-2-1_55GDN_2022-01-14_final.stac-item
2022-01-14 09:38:48	ga_s2bm_ard_3-2-1_55GCN_2022-01-14_final.stac-item
2022-01-31 09:28:43	ga_s2bm_ard_3-2-1_55GEN_2022-01-30_final.stac-item
2022-03-05 09:38:38	ga_s2bm_ard_3-2-1_55GFN_2022-03-05_final.stac-item
2022-03-05 09:38:42	ga_s2bm_ard_3-2-1_55GEN_2022-03-05_final.stac-item
2022-03-05 09:38:46	ga_s2bm_ard_3-2-1_55GDN_2022-03-05_final.stac-item
2022-03-05 09:38:50	ga_s2bm_ard_3-2-1_55GCN_2022-03-05_final.stac-item
2022-03-08 09:48:43	ga_s2bm_ard_3-2-1_55GDN_2022-03-08_final.stac-item
2022-03-08 09:48:46	ga_s2bm_ard_3-2-1_55GCN_2022-03-08_final.stac-item
2022-03-12 09:28:43	ga_s2bm_ard_3-2-1_55GFN_2022-03-11_final.stac-item
2022-03-12 09:28:47	ga_s2bm_ard_3-2-1_55GEN_2022-03-11_final.stac-item
2022-03-15 09:38:39	ga_s2bm_ard_3-2-1_55GFN_2022-03-15_final.stac-item
2022-03-15 09:38:43	ga_s2bm_ard_3-2-1_55GEN_2022-03-15_final.stac-item
2022-03-15 09:38:47	ga_s2bm_ard_3-2-1_55GDN_2022-03-15_final.stac-item
2022-03-15 09:38:50	ga_s2bm_ard_3-2-1_55GCN_2022-03-15_final.stac-item
2022-03-18 09:48:43	ga_s2bm_ard_3-2-1_55GDN_2022-03-18_final.stac-item
2022-03-18 09:48:47	ga_s2bm_ard_3-2-1_55GCN_2022-03-18_final.stac-item
2022-03-22 09:28:42	ga_s2bm_ard_3-2-1_55GFN_2022-03-21_final.stac-item
2022-03-22 09:28:47	ga_s2bm_ard_3-2-1_55GEN_2022-03-21_final.stac-item
2022-03-25 09:38:38	ga_s2bm_ard_3-2-1_55GFN_2022-03-25_final.stac-item
2022-03-25 09:38:43	ga_s2bm_ard_3-2-1_55GEN_2022-03-25_final.stac-item
2022-03-25 09:38:46	ga_s2bm_ard_3-2-1_55GDN_2022-03-25_final.stac-item
2022-03-25 09:38:50	ga_s2bm_ard_3-2-1_55GCN_2022-03-25_final.stac-item
2022-03-28 09:48:42	ga_s2bm_ard_3-2-1_55GDN_2022-03-28_final.stac-item
2022-03-28 09:48:46	ga_s2bm_ard_3-2-1_55GCN_2022-03-28_final.stac-item
2022-11-20 09:38:41	ga_s2bm_ard_3-2-1_55GFN_2022-11-20_final.stac-item
2022-11-20 09:38:45	ga_s2bm_ard_3-2-1_55GEN_2022-11-20_final.stac-item
2022-11-20 09:38:48	ga_s2bm_ard_3-2-1_55GDN_2022-11-20_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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