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
2021-01-06 09:24:37	ga_s2bm_ard_3-2-1_56JNP_2021-01-05_final
2021-01-09 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2021-01-09_final
2021-01-16 09:24:38	ga_s2bm_ard_3-2-1_56JNP_2021-01-15_final
2021-01-19 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2021-01-19_final
2021-01-26 09:24:38	ga_s2bm_ard_3-2-1_56JNP_2021-01-25_final
2021-01-29 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2021-01-29_final
2021-02-05 09:24:37	ga_s2bm_ard_3-2-1_56JNP_2021-02-04_final
2021-02-08 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2021-02-08_final
2021-02-15 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2021-02-14_final
2021-02-18 09:34:30	ga_s2bm_ard_3-2-1_56JNP_2021-02-18_final
2021-02-25 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2021-02-24_final
2021-02-28 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2021-02-28_final
2021-03-07 09:24:37	ga_s2bm_ard_3-2-1_56JNP_2021-03-06_final
2021-03-10 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2021-03-10_final
2021-03-17 09:24:37	ga_s2bm_ard_3-2-1_56JNP_2021-03-16_final
2021-03-20 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2021-03-20_final
2021-03-27 09:24:37	ga_s2bm_ard_3-2-1_56JNP_2021-03-26_final
2021-03-30 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2021-03-30_final
2021-04-06 09:24:35	ga_s2bm_ard_3-2-1_56JNP_2021-04-05_final
2021-04-09 09:34:30	ga_s2bm_ard_3-2-1_56JNP_2021-04-09_final
2021-04-16 09:24:34	ga_s2bm_ard_3-2-1_56JNP_2021-04-15_final
2021-04-19 09:34:28	ga_s2bm_ard_3-2-1_56JNP_2021-04-19_final
2021-04-26 09:24:33	ga_s2bm_ard_3-2-1_56JNP_2021-04-25_final
2021-04-29 09:34:28	ga_s2bm_ard_3-2-1_56JNP_2021-04-29_final
2021-05-06 09:24:35	ga_s2bm_ard_3-2-1_56JNP_2021-05-05_final
2021-05-09 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2021-05-09_final
2021-05-16 09:24:37	ga_s2bm_ard_3-2-1_56JNP_2021-05-15_final
2021-05-19 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2021-05-19_final
2021-05-26 09:24:38	ga_s2bm_ard_3-2-1_56JNP_2021-05-25_final
2021-05-29 09:34:33	ga_s2bm_ard_3-2-1_56JNP_2021-05-29_final
2021-06-05 09:24:39	ga_s2bm_ard_3-2-1_56JNP_2021-06-04_final
2021-06-08 09:34:34	ga_s2bm_ard_3-2-1_56JNP_2021-06-08_final
2021-06-15 09:24:39	ga_s2bm_ard_3-2-1_56JNP_2021-06-14_final
2021-06-18 09:34:33	ga_s2bm_ard_3-2-1_56JNP_2021-06-18_final
2021-06-25 09:24:38	ga_s2bm_ard_3-2-1_56JNP_2021-06-24_final
2021-06-28 09:34:33	ga_s2bm_ard_3-2-1_56JNP_2021-06-28_final
2021-07-05 09:24:39	ga_s2bm_ard_3-2-1_56JNP_2021-07-04_final
2021-07-08 09:34:34	ga_s2bm_ard_3-2-1_56JNP_2021-07-08_final
2021-07-15 09:24:40	ga_s2bm_ard_3-2-1_56JNP_2021-07-14_final
2021-07-18 09:34:35	ga_s2bm_ard_3-2-1_56JNP_2021-07-18_final
2021-07-25 09:24:40	ga_s2bm_ard_3-2-1_56JNP_2021-07-24_final
2021-07-28 09:34:34	ga_s2bm_ard_3-2-1_56JNP_2021-07-28_final
2021-08-04 09:24:39	ga_s2bm_ard_3-2-1_56JNP_2021-08-03_final
2021-08-07 09:34:34	ga_s2bm_ard_3-2-1_56JNP_2021-08-07_final
2021-08-14 09:24:38	ga_s2bm_ard_3-2-1_56JNP_2021-08-13_final
2021-08-17 09:34:32	ga_s2bm_ard_3-2-1_56JNP_2021-08-17_final
2021-08-24 09:24:37	ga_s2bm_ard_3-2-1_56JNP_2021-08-23_final
2021-08-27 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2021-08-27_final
2021-09-03 09:24:34	ga_s2bm_ard_3-2-1_56JNP_2021-09-02_final
2021-09-06 09:34:29	ga_s2bm_ard_3-2-1_56JNP_2021-09-06_final
2021-09-13 09:24:34	ga_s2bm_ard_3-2-1_56JNP_2021-09-12_final
2021-09-16 09:34:29	ga_s2bm_ard_3-2-1_56JNP_2021-09-16_final
2021-09-23 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2021-09-22_final
2021-09-26 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2021-09-26_final
2021-10-03 09:24:38	ga_s2bm_ard_3-2-1_56JNP_2021-10-02_final
2021-10-06 09:34:33	ga_s2bm_ard_3-2-1_56JNP_2021-10-06_final
2021-10-13 09:24:39	ga_s2bm_ard_3-2-1_56JNP_2021-10-12_final
2021-10-16 09:34:34	ga_s2bm_ard_3-2-1_56JNP_2021-10-16_final
2021-10-23 09:24:39	ga_s2bm_ard_3-2-1_56JNP_2021-10-22_final
2021-10-26 09:34:34	ga_s2bm_ard_3-2-1_56JNP_2021-10-26_final
2021-11-02 09:24:39	ga_s2bm_ard_3-2-1_56JNP_2021-11-01_final
2021-11-05 09:34:33	ga_s2bm_ard_3-2-1_56JNP_2021-11-05_final
2021-11-12 09:24:37	ga_s2bm_ard_3-2-1_56JNP_2021-11-11_final
2021-11-15 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2021-11-15_final
2021-11-22 09:24:35	ga_s2bm_ard_3-2-1_56JNP_2021-11-21_final
2021-11-25 09:34:29	ga_s2bm_ard_3-2-1_56JNP_2021-11-25_final
2021-12-02 09:24:33	ga_s2bm_ard_3-2-1_56JNP_2021-12-01_final
2021-12-05 09:34:28	ga_s2bm_ard_3-2-1_56JNP_2021-12-05_final
2021-12-12 09:24:32	ga_s2bm_ard_3-2-1_56JNP_2021-12-11_final
2021-12-15 09:34:27	ga_s2bm_ard_3-2-1_56JNP_2021-12-15_final
2021-12-22 09:24:33	ga_s2bm_ard_3-2-1_56JNP_2021-12-21_final
2021-12-25 09:34:28	ga_s2bm_ard_3-2-1_56JNP_2021-12-25_final
2022-01-01 09:24:34	ga_s2bm_ard_3-2-1_56JNP_2021-12-31_final
2023-01-06 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2023-01-05_final
2023-01-09 09:34:30	ga_s2bm_ard_3-2-1_56JNP_2023-01-09_final
2023-01-16 09:24:35	ga_s2bm_ard_3-2-1_56JNP_2023-01-15_final
2023-01-19 09:34:30	ga_s2bm_ard_3-2-1_56JNP_2023-01-19_final
2023-01-26 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2023-01-25_final
2023-01-29 09:34:30	ga_s2bm_ard_3-2-1_56JNP_2023-01-29_final
2023-02-05 09:24:35	ga_s2bm_ard_3-2-1_56JNP_2023-02-04_final
2023-02-08 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2023-02-08_final
2023-02-15 09:24:36	ga_s2bm_ard_3-2-1_56JNP_2023-02-14_final
2023-02-18 09:34:31	ga_s2bm_ard_3-2-1_56JNP_2023-02-18_final
2023-02-25 09:24:38	ga_s2bm_ard_3-2-1_56JNP_2023-02-24_final
2023-02-28 09:34:33	ga_s2bm_ard_3-2-1_56JNP_2023-02-28_final
2023-03-07 09:24:41	ga_s2bm_ard_3-2-1_56JNP_2023-03-06_final
2023-03-10 09:34:37	ga_s2bm_ard_3-2-1_56JNP_2023-03-10_final
2023-03-27 09:24:41	ga_s2bm_ard_3-2-1_56JNP_2023-03-26_final
2023-03-30 09:34:36	ga_s2bm_ard_3-2-1_56JNP_2023-03-30_final
2023-04-06 09:24:41	ga_s2bm_ard_3-2-1_56JNP_2023-04-05_final
2023-04-09 09:34:35	ga_s2bm_ard_3-2-1_56JNP_2023-04-09_final
2023-04-19 09:34:34	ga_s2bm_ard_3-2-1_56JNP_2023-04-19_final
2023-08-04 09:24:42	ga_s2bm_ard_3-2-1_56JNP_2023-08-03_final
2023-08-07 09:34:38	ga_s2bm_ard_3-2-1_56JNP_2023-08-07_final
2023-08-14 09:24:44	ga_s2bm_ard_3-2-1_56JNP_2023-08-13_final
2023-08-17 09:34:38	ga_s2bm_ard_3-2-1_56JNP_2023-08-17_final
2023-08-24 09:24:42	ga_s2bm_ard_3-2-1_56JNP_2023-08-23_final
2023-08-27 09:34:37	ga_s2bm_ard_3-2-1_56JNP_2023-08-27_final
2023-09-03 09:24:43	ga_s2bm_ard_3-2-1_56JNP_2023-09-02_final
2023-09-06 09:34:37	ga_s2bm_ard_3-2-1_56JNP_2023-09-06_final

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