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
2019-06-02 11:26:15	ga_s2bm_ard_3-2-1_51JXF_2019-06-02_final.stac-item
2019-06-02 11:26:19	ga_s2bm_ard_3-2-1_51JWF_2019-06-02_final.stac-item
2019-06-02 11:26:23	ga_s2bm_ard_3-2-1_51JVF_2019-06-02_final.stac-item
2019-06-02 11:26:26	ga_s2bm_ard_3-2-1_51JUF_2019-06-02_final.stac-item
2019-06-02 11:26:30	ga_s2bm_ard_3-2-1_51HXE_2019-06-02_final.stac-item
2019-06-02 11:26:34	ga_s2bm_ard_3-2-1_51HWE_2019-06-02_final.stac-item
2019-06-02 11:26:37	ga_s2bm_ard_3-2-1_51HVE_2019-06-02_final.stac-item
2019-06-02 11:26:40	ga_s2bm_ard_3-2-1_51HUE_2019-06-02_final.stac-item
2019-06-17 10:35:52	ga_s2bm_ard_3-2-1_53JQF_2019-06-17_final.stac-item
2019-06-17 10:35:56	ga_s2bm_ard_3-2-1_53JPF_2019-06-17_final.stac-item
2019-06-17 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-06-17_final.stac-item
2019-06-17 10:36:03	ga_s2bm_ard_3-2-1_53JMF_2019-06-17_final.stac-item
2019-06-17 10:36:04	ga_s2bm_ard_3-2-1_53HQE_2019-06-17_final.stac-item
2019-06-17 10:36:10	ga_s2bm_ard_3-2-1_53HPE_2019-06-17_final.stac-item
2019-06-17 10:36:14	ga_s2bm_ard_3-2-1_53HNE_2019-06-17_final.stac-item
2019-11-16 09:35:19	ga_s2bm_ard_3-2-1_56JML_2019-11-16_final.stac-item
2019-11-16 09:35:23	ga_s2bm_ard_3-2-1_56JLL_2019-11-16_final.stac-item
2019-11-16 09:35:26	ga_s2bm_ard_3-2-1_56JKL_2019-11-16_final.stac-item
2019-11-16 09:35:28	ga_s2bm_ard_3-2-1_55JGF_2019-11-16_final.stac-item
2019-11-16 09:35:34	ga_s2bm_ard_3-2-1_56HMK_2019-11-16_final.stac-item
2019-11-16 09:35:37	ga_s2bm_ard_3-2-1_56HLK_2019-11-16_final.stac-item
2019-11-16 09:35:41	ga_s2bm_ard_3-2-1_56HKK_2019-11-16_final.stac-item
2019-11-16 09:35:43	ga_s2bm_ard_3-2-1_55HGE_2019-11-16_final.stac-item
2019-11-29 11:26:03	ga_s2bm_ard_3-2-1_51JXF_2019-11-29_final.stac-item
2019-11-29 11:26:07	ga_s2bm_ard_3-2-1_51JWF_2019-11-29_final.stac-item
2019-11-29 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2019-11-29_final.stac-item
2019-11-29 11:26:13	ga_s2bm_ard_3-2-1_51JUF_2019-11-29_final.stac-item
2019-11-29 11:26:18	ga_s2bm_ard_3-2-1_51HXE_2019-11-29_final.stac-item
2019-11-29 11:26:21	ga_s2bm_ard_3-2-1_51HWE_2019-11-29_final.stac-item
2019-11-29 11:26:25	ga_s2bm_ard_3-2-1_51HVE_2019-11-29_final.stac-item
2019-11-29 11:26:28	ga_s2bm_ard_3-2-1_51HUE_2019-11-29_final.stac-item
2019-12-01 10:25:38	ga_s2bm_ard_3-2-1_54JUL_2019-12-01_final.stac-item
2019-12-01 10:25:41	ga_s2bm_ard_3-2-1_54JTL_2019-12-01_final.stac-item
2019-12-01 10:25:44	ga_s2bm_ard_3-2-1_53JQF_2019-12-01_final.stac-item
2019-12-01 10:25:47	ga_s2bm_ard_3-2-1_53JPF_2019-12-01_final.stac-item
2019-12-01 10:25:52	ga_s2bm_ard_3-2-1_54HUK_2019-12-01_final.stac-item
2019-12-01 10:25:56	ga_s2bm_ard_3-2-1_54HTK_2019-12-01_final.stac-item
2019-12-01 10:25:58	ga_s2bm_ard_3-2-1_53HQE_2019-12-01_final.stac-item
2019-12-01 10:26:02	ga_s2bm_ard_3-2-1_53HPE_2019-12-01_final.stac-item
2021-02-18 09:35:19	ga_s2bm_ard_3-2-1_56JML_2021-02-18_final.stac-item
2021-02-18 09:35:22	ga_s2bm_ard_3-2-1_56JLL_2021-02-18_final.stac-item
2021-02-18 09:35:25	ga_s2bm_ard_3-2-1_56JKL_2021-02-18_final.stac-item
2021-02-18 09:35:28	ga_s2bm_ard_3-2-1_55JGF_2021-02-18_final.stac-item
2021-02-18 09:35:33	ga_s2bm_ard_3-2-1_56HMK_2021-02-18_final.stac-item
2021-02-18 09:35:36	ga_s2bm_ard_3-2-1_56HLK_2021-02-18_final.stac-item
2021-02-18 09:35:40	ga_s2bm_ard_3-2-1_56HKK_2021-02-18_final.stac-item
2021-02-18 09:35:42	ga_s2bm_ard_3-2-1_55HGE_2021-02-18_final.stac-item
2021-02-20 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2021-02-20_final.stac-item
2021-02-20 11:56:20	ga_s2bm_ard_3-2-1_50JML_2021-02-20_final.stac-item
2021-02-20 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2021-02-20_final.stac-item
2021-02-20 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2021-02-20_final.stac-item
2021-02-20 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-02-20_final.stac-item
2021-02-25 09:25:20	ga_s2bm_ard_3-2-1_56JNL_2021-02-24_final.stac-item
2021-02-25 09:25:23	ga_s2bm_ard_3-2-1_56JML_2021-02-24_final.stac-item
2021-02-25 09:25:28	ga_s2bm_ard_3-2-1_56JLL_2021-02-24_final.stac-item
2021-02-25 09:25:38	ga_s2bm_ard_3-2-1_56HMK_2021-02-24_final.stac-item
2021-02-25 09:25:41	ga_s2bm_ard_3-2-1_56HLK_2021-02-24_final.stac-item
2021-06-29 10:45:52	ga_s2bm_ard_3-2-1_53JMF_2021-06-29_final.stac-item
2021-06-29 10:45:56	ga_s2bm_ard_3-2-1_53JLF_2021-06-29_final.stac-item
2021-06-29 10:45:59	ga_s2bm_ard_3-2-1_53JKF_2021-06-29_final.stac-item
2021-06-29 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2021-06-29_final.stac-item
2021-06-29 10:46:07	ga_s2bm_ard_3-2-1_53HME_2021-06-29_final.stac-item
2021-06-29 10:46:10	ga_s2bm_ard_3-2-1_53HLE_2021-06-29_final.stac-item
2021-06-29 10:46:13	ga_s2bm_ard_3-2-1_53HKE_2021-06-29_final
2021-06-29 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2021-06-29_final
2021-07-04 09:55:58	ga_s2bm_ard_3-2-1_54HYK_2021-07-04_final.stac-item
2021-07-07 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2021-07-07_final.stac-item
2021-07-07 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2021-07-07_final.stac-item
2021-07-07 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2021-07-07_final.stac-item
2021-07-07 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-07_final.stac-item
2021-07-07 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2021-07-07_final.stac-item
2021-07-07 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-07-07_final.stac-item
2021-07-07 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-07-07_final.stac-item
2021-10-12 09:55:36	ga_s2bm_ard_3-2-1_55JEF_2021-10-12_final.stac-item
2021-10-12 09:55:37	ga_s2bm_ard_3-2-1_55JDF_2021-10-12_final.stac-item
2021-10-12 09:55:39	ga_s2bm_ard_3-2-1_55JCF_2021-10-12_final.stac-item
2021-10-12 09:55:41	ga_s2bm_ard_3-2-1_55JBF_2021-10-12_final.stac-item
2021-10-12 09:55:48	ga_s2bm_ard_3-2-1_55HDE_2021-10-12_final.stac-item
2021-10-12 09:55:51	ga_s2bm_ard_3-2-1_55HCE_2021-10-12_final.stac-item
2021-10-12 09:55:55	ga_s2bm_ard_3-2-1_55HBE_2021-10-12_final.stac-item
2021-10-12 09:55:58	ga_s2bm_ard_3-2-1_54HYK_2021-10-12_final.stac-item
2021-10-15 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2021-10-15_final.stac-item
2021-10-15 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-10-15_final.stac-item
2021-10-15 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-10-15_final.stac-item
2021-10-16 09:35:22	ga_s2bm_ard_3-2-1_56JML_2021-10-16_final.stac-item
2021-10-16 09:35:26	ga_s2bm_ard_3-2-1_56JLL_2021-10-16_final.stac-item
2021-10-16 09:35:29	ga_s2bm_ard_3-2-1_56JKL_2021-10-16_final.stac-item
2021-10-16 09:35:31	ga_s2bm_ard_3-2-1_55JGF_2021-10-16_final.stac-item
2021-10-16 09:35:36	ga_s2bm_ard_3-2-1_56HMK_2021-10-16_final.stac-item
2021-10-16 09:35:40	ga_s2bm_ard_3-2-1_56HLK_2021-10-16_final.stac-item
2021-10-16 09:35:43	ga_s2bm_ard_3-2-1_56HKK_2021-10-16_final.stac-item
2021-10-16 09:35:46	ga_s2bm_ard_3-2-1_55HGE_2021-10-16_final.stac-item
2021-10-22 09:55:52	ga_s2bm_ard_3-2-1_55HCE_2021-10-22_final.stac-item
2021-10-22 09:55:55	ga_s2bm_ard_3-2-1_55HBE_2021-10-22_final.stac-item
2021-10-22 09:55:58	ga_s2bm_ard_3-2-1_54HYK_2021-10-22_final.stac-item
2023-03-21 09:05:13	ga_s2bm_ard_3-2-1_57JWF_2023-03-20_final
2023-03-21 09:05:16	ga_s2bm_ard_3-2-1_57JVF_2023-03-20_final
2023-03-24 09:15:24	ga_s2bm_ard_3-2-1_56JPL_2023-03-23_nrt
2023-03-24 09:15:32	ga_s2bm_ard_3-2-1_56HPK_2023-03-23_nrt
2023-03-24 10:56:17	ga_s2bm_ard_3-2-1_52HFK_2023-03-24_nrt

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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