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
2018-08-26 09:41:00	ga_s2bm_ard_3-2-1_56JKQ_2018-08-26_final.stac-item
2018-08-26 09:41:00	ga_s2bm_ard_3-2-1_55JEK_2018-08-26_final.stac-item
2018-08-26 09:41:00	ga_s2bm_ard_3-2-1_55JFK_2018-08-26_final.stac-item
2018-08-26 09:41:00	ga_s2bm_ard_3-2-1_55JGJ_2018-08-26_final.stac-item
2018-08-26 09:41:00	ga_s2bm_ard_3-2-1_55JGK_2018-08-26_final.stac-item
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51JVK_2018-08-26_final.stac-item
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51JWK_2018-08-26_final.stac-item
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51JXK_2018-08-26_final.stac-item
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51JYK_2018-08-26_final.stac-item
2018-08-30 09:22:35	ga_s2bm_ard_3-2-1_56JMQ_2018-08-29_final.stac-item
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_52JBQ_2018-09-02_final.stac-item
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_52JCQ_2018-09-02_final.stac-item
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_52JDQ_2018-09-02_final.stac-item
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_51JYJ_2018-09-02_final.stac-item
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_51JYK_2018-09-02_final.stac-item
2018-09-05 09:40:59	ga_s2bm_ard_3-2-1_56JKQ_2018-09-05_final.stac-item
2018-09-05 09:40:59	ga_s2bm_ard_3-2-1_55JEK_2018-09-05_final.stac-item
2018-09-05 09:40:59	ga_s2bm_ard_3-2-1_55JFK_2018-09-05_final.stac-item
2018-09-05 09:40:59	ga_s2bm_ard_3-2-1_55JGJ_2018-09-05_final.stac-item
2018-09-05 09:40:59	ga_s2bm_ard_3-2-1_55JGK_2018-09-05_final.stac-item
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51JVK_2018-09-05_final.stac-item
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51JWK_2018-09-05_final.stac-item
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51JXK_2018-09-05_final.stac-item
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51JYK_2018-09-05_final.stac-item
2019-06-03 10:55:00	ga_s2bm_ard_3-2-1_53JLK_2019-06-03_final.stac-item
2019-06-03 10:55:04	ga_s2bm_ard_3-2-1_53JKK_2019-06-03_final.stac-item
2019-06-03 10:55:07	ga_s2bm_ard_3-2-1_52JGQ_2019-06-03_final.stac-item
2019-06-03 10:55:10	ga_s2bm_ard_3-2-1_52JFQ_2019-06-03_final.stac-item
2019-06-03 10:55:21	ga_s2bm_ard_3-2-1_52JGP_2019-06-03_final.stac-item
2019-06-23 10:55:21	ga_s2bm_ard_3-2-1_52JGP_2019-06-23_final.stac-item
2019-08-12 10:54:59	ga_s2bm_ard_3-2-1_53JLK_2019-08-12_final.stac-item
2019-08-12 10:55:02	ga_s2bm_ard_3-2-1_53JKK_2019-08-12_final.stac-item
2019-08-12 10:55:05	ga_s2bm_ard_3-2-1_52JGQ_2019-08-12_final.stac-item
2019-08-12 10:55:09	ga_s2bm_ard_3-2-1_52JFQ_2019-08-12_final.stac-item
2019-08-12 10:55:20	ga_s2bm_ard_3-2-1_52JGP_2019-08-12_final.stac-item
2019-08-13 10:24:48	ga_s2bm_ard_3-2-1_54JVQ_2019-08-13_final.stac-item
2019-08-13 10:24:52	ga_s2bm_ard_3-2-1_54JUQ_2019-08-13_final.stac-item
2019-08-13 10:24:55	ga_s2bm_ard_3-2-1_54JTQ_2019-08-13_final.stac-item
2019-08-13 10:24:58	ga_s2bm_ard_3-2-1_53JQK_2019-08-13_final.stac-item
2019-08-13 10:25:12	ga_s2bm_ard_3-2-1_53JQJ_2019-08-13_final.stac-item
2019-08-21 11:25:11	ga_s2bm_ard_3-2-1_51JYK_2019-08-21_final.stac-item
2019-08-21 11:25:15	ga_s2bm_ard_3-2-1_51JXK_2019-08-21_final.stac-item
2019-08-21 11:25:18	ga_s2bm_ard_3-2-1_51JWK_2019-08-21_final.stac-item
2019-08-21 11:25:22	ga_s2bm_ard_3-2-1_51JVK_2019-08-21_final.stac-item
2019-08-25 11:05:02	ga_s2bm_ard_3-2-1_52JFQ_2019-08-25_final.stac-item
2019-08-25 11:05:06	ga_s2bm_ard_3-2-1_52JEQ_2019-08-25_final.stac-item
2019-08-25 11:05:10	ga_s2bm_ard_3-2-1_52JDQ_2019-08-25_final.stac-item
2019-08-25 11:05:13	ga_s2bm_ard_3-2-1_52JCQ_2019-08-25_final.stac-item
2019-08-31 09:44:27	ga_s2bm_ard_3-2-1_56JKQ_2019-08-31_final.stac-item
2019-08-31 09:44:34	ga_s2bm_ard_3-2-1_56JKQ_2019-08-31_final.stac-item
2019-08-31 09:44:35	ga_s2bm_ard_3-2-1_55JGK_2019-08-31_final.stac-item
2019-08-31 09:44:37	ga_s2bm_ard_3-2-1_55JFK_2019-08-31_final.stac-item
2019-08-31 09:44:40	ga_s2bm_ard_3-2-1_55JEK_2019-08-31_final.stac-item
2019-08-31 09:44:46	ga_s2bm_ard_3-2-1_55JGJ_2019-08-31_final.stac-item
2020-03-17 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2020-03-17_final.stac-item
2020-03-17 11:55:18	ga_s2bm_ard_3-2-1_50JNQ_2020-03-17_final.stac-item
2020-03-17 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2020-03-17_final.stac-item
2020-03-17 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2020-03-17_final.stac-item
2020-03-18 09:44:22	ga_s2bm_ard_3-2-1_56JKQ_2020-03-18_final.stac-item
2020-03-18 09:44:26	ga_s2bm_ard_3-2-1_55JGK_2020-03-18_final.stac-item
2020-03-18 09:44:30	ga_s2bm_ard_3-2-1_55JFK_2020-03-18_final.stac-item
2020-03-18 09:44:34	ga_s2bm_ard_3-2-1_55JEK_2020-03-18_final.stac-item
2020-03-18 09:44:40	ga_s2bm_ard_3-2-1_55JGJ_2020-03-18_final.stac-item
2020-03-25 09:34:21	ga_s2bm_ard_3-2-1_56JMQ_2020-03-25_final.stac-item
2020-03-25 09:34:24	ga_s2bm_ard_3-2-1_56JLQ_2020-03-25_final.stac-item
2020-03-25 09:34:27	ga_s2bm_ard_3-2-1_56JKQ_2020-03-25_final.stac-item
2022-03-05 11:14:57	ga_s2bm_ard_3-2-1_52JDQ_2022-03-05_final.stac-item
2022-03-05 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2022-03-05_final.stac-item
2022-03-05 11:15:04	ga_s2bm_ard_3-2-1_52JBQ_2022-03-05_final.stac-item
2022-03-05 11:15:07	ga_s2bm_ard_3-2-1_51JYK_2022-03-05_final.stac-item
2022-03-05 11:15:22	ga_s2bm_ard_3-2-1_51JYJ_2022-03-05_final.stac-item
2022-03-06 10:44:58	ga_s2bm_ard_3-2-1_53JMK_2022-03-06_final.stac-item
2022-03-06 10:44:59	ga_s2bm_ard_3-2-1_53JLK_2022-03-06_final.stac-item
2022-03-06 10:45:01	ga_s2bm_ard_3-2-1_53JKK_2022-03-06_final.stac-item
2022-03-15 11:14:58	ga_s2bm_ard_3-2-1_52JDQ_2022-03-15_final.stac-item
2022-03-15 11:15:02	ga_s2bm_ard_3-2-1_52JCQ_2022-03-15_final.stac-item
2022-03-15 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2022-03-15_final.stac-item
2022-03-15 11:15:08	ga_s2bm_ard_3-2-1_51JYK_2022-03-15_final.stac-item
2022-03-15 11:15:23	ga_s2bm_ard_3-2-1_51JYJ_2022-03-15_final.stac-item
2022-03-17 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2022-03-17_final.stac-item
2022-03-17 11:55:18	ga_s2bm_ard_3-2-1_50JNQ_2022-03-17_final.stac-item
2022-03-17 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2022-03-17_final.stac-item
2022-03-17 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2022-03-17_final.stac-item
2022-03-23 10:34:41	ga_s2bm_ard_3-2-1_54JTQ_2022-03-23_final.stac-item
2022-03-23 10:34:45	ga_s2bm_ard_3-2-1_53JQK_2022-03-23_final.stac-item
2022-03-23 10:34:48	ga_s2bm_ard_3-2-1_53JPK_2022-03-23_final.stac-item
2022-03-23 10:34:52	ga_s2bm_ard_3-2-1_53JNK_2022-03-23_final.stac-item
2022-03-23 10:34:59	ga_s2bm_ard_3-2-1_53JQJ_2022-03-23_final.stac-item
2022-03-24 10:04:31	ga_s2bm_ard_3-2-1_55JCK_2022-03-24_final.stac-item
2022-03-24 10:04:34	ga_s2bm_ard_3-2-1_55JBK_2022-03-24_final.stac-item
2022-03-24 10:04:37	ga_s2bm_ard_3-2-1_54JYQ_2022-03-24_final.stac-item
2022-03-24 10:04:41	ga_s2bm_ard_3-2-1_54JXQ_2022-03-24_final.stac-item
2022-03-24 10:04:52	ga_s2bm_ard_3-2-1_54JYP_2022-03-24_final.stac-item
2022-03-25 11:14:57	ga_s2bm_ard_3-2-1_52JDQ_2022-03-25_final.stac-item
2022-03-25 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2022-03-25_final.stac-item
2022-03-25 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2022-03-25_final.stac-item
2022-03-25 11:15:08	ga_s2bm_ard_3-2-1_51JYK_2022-03-25_final.stac-item
2022-03-25 11:15:22	ga_s2bm_ard_3-2-1_51JYJ_2022-03-25_final.stac-item
2022-04-14 09:34:19	ga_s2bm_ard_3-2-1_56JMQ_2022-04-14_final.stac-item
2022-04-14 09:34:22	ga_s2bm_ard_3-2-1_56JLQ_2022-04-14_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

All years