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
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53JKH_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53JKJ_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JEP_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53JLJ_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JFP_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JGN_2018-08-07_final.stac-item
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_52JGP_2018-08-07_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_54JTN_2018-08-08_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_54JTP_2018-08-08_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_53JQH_2018-08-08_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_53JQJ_2018-08-08_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_54JUP_2018-08-08_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_54JVP_2018-08-08_final.stac-item
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_55JCJ_2018-08-09_final.stac-item
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_55JDJ_2018-08-09_final.stac-item
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_55JEJ_2018-08-09_final.stac-item
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_55JFJ_2018-08-09_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JCP_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JDP_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JEP_2018-08-10_final.stac-item
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JFP_2018-08-10_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JMJ_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JNJ_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JPJ_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_54JTN_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_54JTP_2018-08-11_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JQJ_2018-08-11_final.stac-item
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54JUP_2018-08-15_final.stac-item
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54JVP_2018-08-15_final.stac-item
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54JWP_2018-08-15_final.stac-item
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54JXP_2018-08-15_final.stac-item
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54JYP_2018-08-15_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_54JTN_2018-08-18_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_54JTP_2018-08-18_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_53JQH_2018-08-18_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_53JQJ_2018-08-18_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_54JUP_2018-08-18_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_54JVP_2018-08-18_final.stac-item
2018-08-20 09:22:37	ga_s2bm_ard_3-2-1_56JMP_2018-08-19_final.stac-item
2018-08-20 11:04:44	ga_s2bm_ard_3-2-1_52JCP_2018-08-20_final.stac-item
2018-08-20 11:04:44	ga_s2bm_ard_3-2-1_52JDP_2018-08-20_final.stac-item
2018-08-20 11:04:44	ga_s2bm_ard_3-2-1_52JEP_2018-08-20_final.stac-item
2018-08-20 11:04:44	ga_s2bm_ard_3-2-1_52JFP_2018-08-20_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JMJ_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JNJ_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JPJ_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_54JTN_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_54JTP_2018-08-21_final.stac-item
2018-08-21 10:30:58	ga_s2bm_ard_3-2-1_53JQJ_2018-08-21_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_54JXP_2018-08-22_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_55JBJ_2018-08-22_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_54JYP_2018-08-22_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_55JCJ_2018-08-22_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_55JBH_2018-08-22_final.stac-item
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_54JYN_2018-08-22_final.stac-item
2018-12-03 11:55:30	ga_s2bm_ard_3-2-1_50JNP_2018-12-03_final.stac-item
2018-12-03 11:55:34	ga_s2bm_ard_3-2-1_50JMP_2018-12-03_final.stac-item
2018-12-04 09:44:34	ga_s2bm_ard_3-2-1_56JKP_2018-12-04_final.stac-item
2018-12-04 09:44:37	ga_s2bm_ard_3-2-1_55JGJ_2018-12-04_final.stac-item
2018-12-04 09:44:41	ga_s2bm_ard_3-2-1_55JFJ_2018-12-04_final.stac-item
2018-12-04 09:44:44	ga_s2bm_ard_3-2-1_55JEJ_2018-12-04_final.stac-item
2018-12-04 09:44:49	ga_s2bm_ard_3-2-1_56JKN_2018-12-04_final.stac-item
2018-12-04 09:44:52	ga_s2bm_ard_3-2-1_55JGH_2018-12-04_final.stac-item
2018-12-04 11:25:15	ga_s2bm_ard_3-2-1_51JYJ_2018-12-04_final.stac-item
2018-12-04 11:25:19	ga_s2bm_ard_3-2-1_51JXJ_2018-12-04_final.stac-item
2018-12-04 11:25:23	ga_s2bm_ard_3-2-1_51JWJ_2018-12-04_final.stac-item
2018-12-04 11:25:26	ga_s2bm_ard_3-2-1_51JVJ_2018-12-04_final.stac-item
2018-12-11 11:15:15	ga_s2bm_ard_3-2-1_52JBP_2018-12-11_final.stac-item
2018-12-11 11:15:30	ga_s2bm_ard_3-2-1_52JBN_2018-12-11_final.stac-item
2019-06-07 10:35:05	ga_s2bm_ard_3-2-1_54JTP_2019-06-07_final.stac-item
2019-06-07 10:35:09	ga_s2bm_ard_3-2-1_53JQJ_2019-06-07_final.stac-item
2019-06-07 10:35:13	ga_s2bm_ard_3-2-1_53JPJ_2019-06-07_final.stac-item
2019-06-07 10:35:16	ga_s2bm_ard_3-2-1_54JTN_2019-06-07_final.stac-item
2019-06-27 10:35:05	ga_s2bm_ard_3-2-1_54JTP_2019-06-27_final.stac-item
2019-06-27 10:35:09	ga_s2bm_ard_3-2-1_53JQJ_2019-06-27_final.stac-item
2019-06-27 10:35:13	ga_s2bm_ard_3-2-1_53JPJ_2019-06-27_final.stac-item
2019-06-27 10:35:16	ga_s2bm_ard_3-2-1_54JTN_2019-06-27_final.stac-item
2019-06-27 10:35:17	ga_s2bm_ard_3-2-1_53JNJ_2019-06-27_final.stac-item
2019-06-27 10:35:23	ga_s2bm_ard_3-2-1_53JMJ_2019-06-27_final.stac-item
2020-03-22 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2020-03-22_final.stac-item
2020-03-22 11:05:14	ga_s2bm_ard_3-2-1_52JEP_2020-03-22_final.stac-item
2020-03-22 11:05:17	ga_s2bm_ard_3-2-1_52JDP_2020-03-22_final.stac-item
2020-03-22 11:05:20	ga_s2bm_ard_3-2-1_52JCP_2020-03-22_final.stac-item
2020-03-28 09:44:37	ga_s2bm_ard_3-2-1_56JKP_2020-03-28_final.stac-item
2020-03-28 09:44:40	ga_s2bm_ard_3-2-1_55JGJ_2020-03-28_final.stac-item
2020-03-28 09:44:44	ga_s2bm_ard_3-2-1_55JFJ_2020-03-28_final.stac-item
2020-03-28 09:44:47	ga_s2bm_ard_3-2-1_55JEJ_2020-03-28_final.stac-item
2020-03-28 09:44:52	ga_s2bm_ard_3-2-1_56JKN_2020-03-28_final.stac-item
2020-03-28 09:44:55	ga_s2bm_ard_3-2-1_55JGH_2020-03-28_final.stac-item
2020-03-31 11:35:24	ga_s2bm_ard_3-2-1_51JVJ_2020-03-31_final.stac-item
2020-03-31 11:35:28	ga_s2bm_ard_3-2-1_51JUJ_2020-03-31_final.stac-item
2020-03-31 11:35:31	ga_s2bm_ard_3-2-1_51JTJ_2020-03-31_final.stac-item
2020-03-31 11:35:35	ga_s2bm_ard_3-2-1_50JQP_2020-03-31_final.stac-item
2020-03-31 11:35:45	ga_s2bm_ard_3-2-1_51JTH_2020-03-31_final.stac-item
2020-03-31 11:35:48	ga_s2bm_ard_3-2-1_50JQN_2020-03-31_final.stac-item
2020-04-02 10:34:54	ga_s2bm_ard_3-2-1_54JTP_2020-04-02_final.stac-item
2020-04-02 10:34:58	ga_s2bm_ard_3-2-1_53JQJ_2020-04-02_final.stac-item
2020-04-02 10:35:02	ga_s2bm_ard_3-2-1_53JPJ_2020-04-02_final.stac-item
2020-04-02 10:35:06	ga_s2bm_ard_3-2-1_54JTN_2020-04-02_final.stac-item
2020-04-02 10:35:06	ga_s2bm_ard_3-2-1_53JNJ_2020-04-02_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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