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
2017-10-29 10:13:28	ga_s2bm_ard_3-2-1_54JUN_2017-10-29_final.stac-item
2017-10-29 10:13:28	ga_s2bm_ard_3-2-1_54JVN_2017-10-29_final.stac-item
2017-10-29 10:13:28	ga_s2bm_ard_3-2-1_54JWN_2017-10-29_final.stac-item
2017-10-29 10:13:28	ga_s2bm_ard_3-2-1_54JXN_2017-10-29_final.stac-item
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55JBG_2017-11-02_final.stac-item
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55JBH_2017-11-02_final.stac-item
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55JCG_2017-11-02_final.stac-item
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55JCH_2017-11-02_final.stac-item
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55JDH_2017-11-02_final.stac-item
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55JEH_2017-11-02_final.stac-item
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JMH_2017-11-04_final.stac-item
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JNH_2017-11-04_final.stac-item
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JPG_2017-11-04_final.stac-item
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JPH_2017-11-04_final.stac-item
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JQG_2017-11-04_final.stac-item
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JQH_2017-11-04_final.stac-item
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_56JKM_2017-11-06_final.stac-item
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_56JKN_2017-11-06_final.stac-item
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_56JLM_2017-11-06_final.stac-item
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_56JLN_2017-11-06_final.stac-item
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_56JMN_2017-11-06_final.stac-item
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_55JGG_2017-11-06_final.stac-item
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_55JGH_2017-11-06_final.stac-item
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54JUN_2017-11-08_final.stac-item
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54JVN_2017-11-08_final.stac-item
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54JWN_2017-11-08_final.stac-item
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54JXN_2017-11-08_final.stac-item
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_54JTM_2017-11-11_final.stac-item
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_54JTN_2017-11-11_final.stac-item
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_53JQG_2017-11-11_final.stac-item
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_53JQH_2017-11-11_final.stac-item
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_54JUM_2017-11-11_final.stac-item
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_54JUN_2017-11-11_final.stac-item
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_54JVN_2017-11-11_final.stac-item
2017-11-12 09:54:25	ga_s2bm_ard_3-2-1_55JBG_2017-11-12_final.stac-item
2017-11-12 09:54:25	ga_s2bm_ard_3-2-1_55JBH_2017-11-12_final.stac-item
2017-11-12 09:54:25	ga_s2bm_ard_3-2-1_55JCG_2017-11-12_final.stac-item
2017-11-12 09:54:25	ga_s2bm_ard_3-2-1_55JCH_2017-11-12_final.stac-item
2017-11-12 09:54:25	ga_s2bm_ard_3-2-1_55JDH_2017-11-12_final.stac-item
2017-11-12 09:54:25	ga_s2bm_ard_3-2-1_55JEH_2017-11-12_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JTG_2017-11-12_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JTH_2017-11-12_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JUG_2017-11-12_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JUH_2017-11-12_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JVH_2017-11-12_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_50JQM_2017-11-12_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_50JQN_2017-11-12_final.stac-item
2017-11-13 09:23:11	ga_s2bm_ard_3-2-1_56JMN_2017-11-12_final.stac-item
2017-11-13 09:23:11	ga_s2bm_ard_3-2-1_56JNN_2017-11-12_final.stac-item
2019-07-27 10:35:31	ga_s2bm_ard_3-2-1_53JNH_2019-07-27_final.stac-item
2019-07-27 10:35:35	ga_s2bm_ard_3-2-1_53JMH_2019-07-27_final.stac-item
2019-07-27 10:35:39	ga_s2bm_ard_3-2-1_53JQG_2019-07-27_final.stac-item
2019-07-27 10:35:42	ga_s2bm_ard_3-2-1_53JPG_2019-07-27_final.stac-item
2019-07-29 11:15:41	ga_s2bm_ard_3-2-1_52JCN_2019-07-29_final.stac-item
2019-07-29 11:15:45	ga_s2bm_ard_3-2-1_52JBN_2019-07-29_final.stac-item
2019-07-29 11:15:47	ga_s2bm_ard_3-2-1_51JYH_2019-07-29_final.stac-item
2019-07-29 11:15:51	ga_s2bm_ard_3-2-1_51JXH_2019-07-29_final.stac-item
2019-07-29 11:15:56	ga_s2bm_ard_3-2-1_52JCM_2019-07-29_final.stac-item
2019-07-29 11:15:59	ga_s2bm_ard_3-2-1_52JBM_2019-07-29_final.stac-item
2019-07-29 11:16:02	ga_s2bm_ard_3-2-1_51JYG_2019-07-29_final.stac-item
2019-08-03 12:05:59	ga_s2bm_ard_3-2-1_50JLN_2019-08-03_final.stac-item
2019-08-03 12:06:03	ga_s2bm_ard_3-2-1_50JKN_2019-08-03_final.stac-item
2019-08-09 10:45:26	ga_s2bm_ard_3-2-1_53JNH_2019-08-09_final.stac-item
2019-08-09 10:45:30	ga_s2bm_ard_3-2-1_53JMH_2019-08-09_final.stac-item
2019-08-09 10:45:33	ga_s2bm_ard_3-2-1_53JLH_2019-08-09_final.stac-item
2019-08-09 10:45:36	ga_s2bm_ard_3-2-1_53JKH_2019-08-09_final.stac-item
2019-08-09 10:45:47	ga_s2bm_ard_3-2-1_53JLG_2019-08-09_final.stac-item
2019-08-09 10:45:51	ga_s2bm_ard_3-2-1_53JKG_2019-08-09_final.stac-item
2019-08-09 10:45:54	ga_s2bm_ard_3-2-1_52JGM_2019-08-09_final.stac-item
2019-08-13 12:05:58	ga_s2bm_ard_3-2-1_50JLN_2019-08-13_final.stac-item
2019-08-13 12:06:02	ga_s2bm_ard_3-2-1_50JKN_2019-08-13_final.stac-item
2019-08-13 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2019-08-13_final.stac-item
2019-08-13 12:06:16	ga_s2bm_ard_3-2-1_50JKM_2019-08-13_final.stac-item
2019-08-14 11:35:48	ga_s2bm_ard_3-2-1_51JVH_2019-08-14_final.stac-item
2019-08-14 11:35:51	ga_s2bm_ard_3-2-1_51JUH_2019-08-14_final.stac-item
2019-08-14 11:35:54	ga_s2bm_ard_3-2-1_51JTH_2019-08-14_final.stac-item
2019-08-14 11:35:57	ga_s2bm_ard_3-2-1_50JQN_2019-08-14_final.stac-item
2019-08-14 11:36:06	ga_s2bm_ard_3-2-1_51JUG_2019-08-14_final.stac-item
2019-08-14 11:36:09	ga_s2bm_ard_3-2-1_51JTG_2019-08-14_final.stac-item
2019-08-14 11:36:12	ga_s2bm_ard_3-2-1_50JQM_2019-08-14_final.stac-item
2019-08-18 11:15:39	ga_s2bm_ard_3-2-1_52JCN_2019-08-18_final.stac-item
2019-08-18 11:15:42	ga_s2bm_ard_3-2-1_52JBN_2019-08-18_final.stac-item
2019-08-18 11:15:45	ga_s2bm_ard_3-2-1_51JYH_2019-08-18_final.stac-item
2019-08-18 11:15:48	ga_s2bm_ard_3-2-1_51JXH_2019-08-18_final.stac-item
2019-08-18 11:15:53	ga_s2bm_ard_3-2-1_52JCM_2019-08-18_final.stac-item
2019-08-18 11:15:57	ga_s2bm_ard_3-2-1_52JBM_2019-08-18_final.stac-item
2019-08-18 11:15:59	ga_s2bm_ard_3-2-1_51JYG_2019-08-18_final.stac-item
2019-08-18 11:16:02	ga_s2bm_ard_3-2-1_51JXG_2019-08-18_final.stac-item
2019-08-20 11:55:55	ga_s2bm_ard_3-2-1_50JNN_2019-08-20_final.stac-item
2019-08-20 11:55:59	ga_s2bm_ard_3-2-1_50JMN_2019-08-20_final.stac-item
2019-08-20 11:56:02	ga_s2bm_ard_3-2-1_50JLN_2019-08-20_final.stac-item
2019-08-20 11:56:05	ga_s2bm_ard_3-2-1_50JKN_2019-08-20_final.stac-item
2019-08-20 11:56:17	ga_s2bm_ard_3-2-1_50JLM_2019-08-20_final.stac-item
2019-08-20 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2019-08-20_final.stac-item
2019-08-21 09:44:59	ga_s2bm_ard_3-2-1_56JKN_2019-08-21_final.stac-item
2019-08-21 09:45:02	ga_s2bm_ard_3-2-1_55JGH_2019-08-21_final.stac-item
2019-08-21 09:45:06	ga_s2bm_ard_3-2-1_55JFH_2019-08-21_final.stac-item
2019-08-21 09:45:10	ga_s2bm_ard_3-2-1_55JEH_2019-08-21_final.stac-item
2019-08-21 09:45:14	ga_s2bm_ard_3-2-1_56JKM_2019-08-21_final.stac-item
2019-08-21 09:45:17	ga_s2bm_ard_3-2-1_55JGG_2019-08-21_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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