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
2019-06-03 10:54:16	ga_s2bm_ard_3-2-1_53JLN_2019-06-03_final.stac-item
2019-06-03 10:54:20	ga_s2bm_ard_3-2-1_52JHT_2019-06-03_final.stac-item
2019-06-03 10:54:20	ga_s2bm_ard_3-2-1_53JKN_2019-06-03_final.stac-item
2019-06-03 10:54:23	ga_s2bm_ard_3-2-1_52JGT_2019-06-03_final.stac-item
2019-06-03 10:54:29	ga_s2bm_ard_3-2-1_52JFT_2019-06-03_final.stac-item
2019-06-03 10:54:31	ga_s2bm_ard_3-2-1_53JLM_2019-06-03_final.stac-item
2019-06-03 10:54:34	ga_s2bm_ard_3-2-1_52JHS_2019-06-03_final.stac-item
2019-06-03 10:54:34	ga_s2bm_ard_3-2-1_53JKM_2019-06-03_final.stac-item
2019-06-03 10:54:38	ga_s2bm_ard_3-2-1_52JGS_2019-06-03_final.stac-item
2019-06-03 10:54:41	ga_s2bm_ard_3-2-1_52JFS_2019-06-03_final.stac-item
2019-06-04 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2019-06-04_final.stac-item
2019-06-04 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-06-04_final.stac-item
2019-06-04 12:04:57	ga_s2bm_ard_3-2-1_50JMS_2019-06-04_final.stac-item
2019-06-04 12:05:02	ga_s2bm_ard_3-2-1_50JLS_2019-06-04_final.stac-item
2019-06-04 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-06-04_final.stac-item
2019-06-04 12:05:05	ga_s2bm_ard_3-2-1_50JKS_2019-06-04_final.stac-item
2019-06-04 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-04_final.stac-item
2019-06-05 09:53:52	ga_s2bm_ard_3-2-1_55JFN_2019-06-05_final.stac-item
2019-06-05 09:53:55	ga_s2bm_ard_3-2-1_55JEN_2019-06-05_final.stac-item
2019-06-05 09:53:59	ga_s2bm_ard_3-2-1_55JDN_2019-06-05_final.stac-item
2019-06-05 09:54:06	ga_s2bm_ard_3-2-1_55JCN_2019-06-05_final.stac-item
2019-06-05 09:54:06	ga_s2bm_ard_3-2-1_55JFM_2019-06-05_final.stac-item
2019-06-05 09:54:10	ga_s2bm_ard_3-2-1_55JEM_2019-06-05_final.stac-item
2019-06-05 09:54:13	ga_s2bm_ard_3-2-1_55JDM_2019-06-05_final.stac-item
2019-06-05 09:54:17	ga_s2bm_ard_3-2-1_55JCM_2019-06-05_final.stac-item
2019-06-11 10:13:59	ga_s2bm_ard_3-2-1_54JYT_2019-06-11_final.stac-item
2019-06-11 10:14:03	ga_s2bm_ard_3-2-1_54JXT_2019-06-11_final.stac-item
2019-06-11 10:14:07	ga_s2bm_ard_3-2-1_54JWT_2019-06-11_final.stac-item
2019-06-11 10:14:13	ga_s2bm_ard_3-2-1_54JVT_2019-06-11_final.stac-item
2019-06-11 10:14:14	ga_s2bm_ard_3-2-1_54JYS_2019-06-11_final.stac-item
2019-06-11 10:14:18	ga_s2bm_ard_3-2-1_54JXS_2019-06-11_final.stac-item
2019-06-11 10:14:21	ga_s2bm_ard_3-2-1_54JWS_2019-06-11_final.stac-item
2019-06-11 10:14:25	ga_s2bm_ard_3-2-1_54JVS_2019-06-11_final.stac-item
2019-06-21 10:14:00	ga_s2bm_ard_3-2-1_54JYT_2019-06-21_final.stac-item
2019-06-21 10:14:03	ga_s2bm_ard_3-2-1_54JXT_2019-06-21_final.stac-item
2019-06-21 10:14:07	ga_s2bm_ard_3-2-1_54JWT_2019-06-21_final.stac-item
2019-06-21 10:14:14	ga_s2bm_ard_3-2-1_54JVT_2019-06-21_final.stac-item
2019-06-21 10:14:14	ga_s2bm_ard_3-2-1_54JYS_2019-06-21_final.stac-item
2019-06-21 10:14:18	ga_s2bm_ard_3-2-1_54JXS_2019-06-21_final.stac-item
2019-06-21 10:14:21	ga_s2bm_ard_3-2-1_54JWS_2019-06-21_final.stac-item
2019-06-21 10:14:25	ga_s2bm_ard_3-2-1_54JVS_2019-06-21_final.stac-item
2019-06-23 10:54:16	ga_s2bm_ard_3-2-1_53JLN_2019-06-23_final.stac-item
2019-06-23 10:54:20	ga_s2bm_ard_3-2-1_53JKN_2019-06-23_final.stac-item
2019-06-23 10:54:34	ga_s2bm_ard_3-2-1_52JHS_2019-06-23_final.stac-item
2019-06-23 10:54:34	ga_s2bm_ard_3-2-1_53JKM_2019-06-23_final.stac-item
2019-06-23 10:54:38	ga_s2bm_ard_3-2-1_52JGS_2019-06-23_final.stac-item
2019-06-23 10:54:41	ga_s2bm_ard_3-2-1_52JFS_2019-06-23_final.stac-item
2020-11-21 10:44:03	ga_s2bm_ard_3-2-1_53JPN_2020-11-21_final.stac-item
2020-11-21 10:44:07	ga_s2bm_ard_3-2-1_53JNN_2020-11-21_final.stac-item
2020-11-21 10:44:10	ga_s2bm_ard_3-2-1_53JMN_2020-11-21_final.stac-item
2020-11-21 10:44:13	ga_s2bm_ard_3-2-1_53JLN_2020-11-21_final.stac-item
2020-11-21 10:44:17	ga_s2bm_ard_3-2-1_53JPM_2020-11-21_final.stac-item
2020-11-21 10:44:21	ga_s2bm_ard_3-2-1_53JNM_2020-11-21_final.stac-item
2020-11-21 10:44:25	ga_s2bm_ard_3-2-1_53JMM_2020-11-21_final.stac-item
2020-11-21 10:44:28	ga_s2bm_ard_3-2-1_53JLM_2020-11-21_final.stac-item
2020-11-23 09:43:38	ga_s2bm_ard_3-2-1_56JLT_2020-11-23_final.stac-item
2020-11-23 09:43:41	ga_s2bm_ard_3-2-1_55JHN_2020-11-23_final.stac-item
2020-11-23 09:43:41	ga_s2bm_ard_3-2-1_56JKT_2020-11-23_final.stac-item
2020-11-23 09:43:45	ga_s2bm_ard_3-2-1_55JGN_2020-11-23_final.stac-item
2020-11-23 09:43:48	ga_s2bm_ard_3-2-1_55JFN_2020-11-23_final.stac-item
2020-11-23 09:43:53	ga_s2bm_ard_3-2-1_56JLS_2020-11-23_final.stac-item
2020-11-23 09:43:56	ga_s2bm_ard_3-2-1_55JHM_2020-11-23_final.stac-item
2020-11-23 09:43:56	ga_s2bm_ard_3-2-1_56JKS_2020-11-23_final.stac-item
2020-11-23 09:43:59	ga_s2bm_ard_3-2-1_55JGM_2020-11-23_final.stac-item
2020-11-23 09:44:03	ga_s2bm_ard_3-2-1_55JFM_2020-11-23_final.stac-item
2020-12-03 09:43:37	ga_s2bm_ard_3-2-1_56JLT_2020-12-03_final.stac-item
2020-12-03 09:43:40	ga_s2bm_ard_3-2-1_55JHN_2020-12-03_final.stac-item
2020-12-03 09:43:40	ga_s2bm_ard_3-2-1_56JKT_2020-12-03_final.stac-item
2020-12-03 09:43:44	ga_s2bm_ard_3-2-1_55JGN_2020-12-03_final.stac-item
2020-12-03 09:43:47	ga_s2bm_ard_3-2-1_55JFN_2020-12-03_final.stac-item
2020-12-03 09:43:51	ga_s2bm_ard_3-2-1_56JLS_2020-12-03_final.stac-item
2020-12-03 09:43:54	ga_s2bm_ard_3-2-1_55JHM_2020-12-03_final.stac-item
2020-12-03 09:43:55	ga_s2bm_ard_3-2-1_56JKS_2020-12-03_final.stac-item
2020-12-03 09:43:58	ga_s2bm_ard_3-2-1_55JGM_2020-12-03_final.stac-item
2020-12-03 09:44:02	ga_s2bm_ard_3-2-1_55JFM_2020-12-03_final.stac-item
2021-02-18 09:33:33	ga_s2bm_ard_3-2-1_56JNT_2021-02-18_final.stac-item
2021-02-18 09:33:37	ga_s2bm_ard_3-2-1_56JMT_2021-02-18_final.stac-item
2021-02-18 09:33:40	ga_s2bm_ard_3-2-1_56JLT_2021-02-18_final.stac-item
2021-02-18 09:33:47	ga_s2bm_ard_3-2-1_56JKT_2021-02-18_final.stac-item
2021-02-18 09:33:48	ga_s2bm_ard_3-2-1_56JNS_2021-02-18_final.stac-item
2021-02-18 09:33:51	ga_s2bm_ard_3-2-1_56JMS_2021-02-18_final.stac-item
2021-02-18 09:33:54	ga_s2bm_ard_3-2-1_56JLS_2021-02-18_final.stac-item
2021-02-18 09:33:58	ga_s2bm_ard_3-2-1_55JHM_2021-02-18_final.stac-item
2021-02-18 09:33:58	ga_s2bm_ard_3-2-1_56JKS_2021-02-18_final.stac-item
2021-02-21 09:43:36	ga_s2bm_ard_3-2-1_56JLT_2021-02-21_final.stac-item
2021-02-21 09:43:39	ga_s2bm_ard_3-2-1_55JHN_2021-02-21_final.stac-item
2021-02-21 09:43:39	ga_s2bm_ard_3-2-1_56JKT_2021-02-21_final.stac-item
2021-02-21 09:43:42	ga_s2bm_ard_3-2-1_55JGN_2021-02-21_final.stac-item
2021-02-21 09:43:46	ga_s2bm_ard_3-2-1_55JFN_2021-02-21_final.stac-item
2021-02-21 09:43:50	ga_s2bm_ard_3-2-1_56JLS_2021-02-21_final.stac-item
2021-02-21 09:43:53	ga_s2bm_ard_3-2-1_55JHM_2021-02-21_final.stac-item
2021-02-21 09:43:54	ga_s2bm_ard_3-2-1_56JKS_2021-02-21_final.stac-item
2021-02-21 09:43:57	ga_s2bm_ard_3-2-1_55JGM_2021-02-21_final.stac-item
2021-02-21 09:44:00	ga_s2bm_ard_3-2-1_55JFM_2021-02-21_final.stac-item
2021-02-25 09:23:38	ga_s2bm_ard_3-2-1_56JNT_2021-02-24_final.stac-item
2021-02-25 09:23:53	ga_s2bm_ard_3-2-1_56JNS_2021-02-24_final.stac-item
2021-03-05 10:23:54	ga_s2bm_ard_3-2-1_54JWT_2021-03-05_final.stac-item
2021-03-05 10:23:57	ga_s2bm_ard_3-2-1_54JVT_2021-03-05_final.stac-item
2021-03-05 10:24:00	ga_s2bm_ard_3-2-1_54JUT_2021-03-05_final.stac-item
2021-03-05 10:24:03	ga_s2bm_ard_3-2-1_54JTT_2021-03-05_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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