Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-06 09:22:45	ga_s2bm_ard_3-2-1_55GFQ_2017-07-05_final
2017-07-26 09:22:44	ga_s2bm_ard_3-2-1_55GFQ_2017-07-25_final
2017-08-18 09:34:03	ga_s2bm_ard_3-2-1_55GFQ_2017-08-18_final
2017-09-04 09:22:38	ga_s2bm_ard_3-2-1_55GFQ_2017-09-03_final
2017-09-07 09:33:13	ga_s2bm_ard_3-2-1_55GFQ_2017-09-07_final
2017-09-24 09:22:31	ga_s2bm_ard_3-2-1_55GFQ_2017-09-23_final
2017-10-14 09:22:30	ga_s2bm_ard_3-2-1_55GFQ_2017-10-13_final
2017-10-17 09:32:26	ga_s2bm_ard_3-2-1_55GFQ_2017-10-17_final
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_55GFQ_2017-11-06_final
2017-11-23 09:22:32	ga_s2bm_ard_3-2-1_55GFQ_2017-11-22_final
2017-12-13 09:23:45	ga_s2bm_ard_3-2-1_55GFQ_2017-12-12_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55GFQ_2018-01-01_final
2018-01-22 09:23:49	ga_s2bm_ard_3-2-1_55GFQ_2018-01-21_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55GFQ_2018-01-25_final
2018-02-01 09:23:18	ga_s2bm_ard_3-2-1_55GFQ_2018-01-31_final
2018-02-04 09:32:54	ga_s2bm_ard_3-2-1_55GFQ_2018-02-04_final
2018-02-14 09:32:33	ga_s2bm_ard_3-2-1_55GFQ_2018-02-14_final
2018-02-24 09:32:54	ga_s2bm_ard_3-2-1_55GFQ_2018-02-24_final
2018-03-03 09:22:35	ga_s2bm_ard_3-2-1_55GFQ_2018-03-02_final
2018-03-06 09:35:23	ga_s2bm_ard_3-2-1_55GFQ_2018-03-06_final
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_55GFQ_2018-03-26_final
2018-04-02 09:22:41	ga_s2bm_ard_3-2-1_55GFQ_2018-04-01_final
2018-04-05 09:32:37	ga_s2bm_ard_3-2-1_55GFQ_2018-04-05_final
2018-04-12 09:22:42	ga_s2bm_ard_3-2-1_55GFQ_2018-04-11_final
2018-04-15 09:32:38	ga_s2bm_ard_3-2-1_55GFQ_2018-04-15_final
2018-04-22 09:22:43	ga_s2bm_ard_3-2-1_55GFQ_2018-04-21_final
2018-04-25 09:32:38	ga_s2bm_ard_3-2-1_55GFQ_2018-04-25_final
2018-05-02 09:22:43	ga_s2bm_ard_3-2-1_55GFQ_2018-05-01_final
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_55GFQ_2018-05-05_final
2018-05-15 09:35:53	ga_s2bm_ard_3-2-1_55GFQ_2018-05-15_final
2018-05-22 09:22:42	ga_s2bm_ard_3-2-1_55GFQ_2018-05-21_final
2018-05-25 09:32:37	ga_s2bm_ard_3-2-1_55GFQ_2018-05-25_final
2018-06-01 09:22:41	ga_s2bm_ard_3-2-1_55GFQ_2018-05-31_final
2018-06-04 09:32:37	ga_s2bm_ard_3-2-1_55GFQ_2018-06-04_final
2018-06-11 09:26:55	ga_s2bm_ard_3-2-1_55GFQ_2018-06-10_final
2018-06-14 09:32:38	ga_s2bm_ard_3-2-1_55GFQ_2018-06-14_final
2018-06-21 09:27:03	ga_s2bm_ard_3-2-1_55GFQ_2018-06-20_final
2018-06-24 09:32:39	ga_s2bm_ard_3-2-1_55GFQ_2018-06-24_final
2018-07-01 09:25:58	ga_s2bm_ard_3-2-1_55GFQ_2018-06-30_final
2018-07-04 09:36:08	ga_s2bm_ard_3-2-1_55GFQ_2018-07-04_final
2018-07-11 09:25:54	ga_s2bm_ard_3-2-1_55GFQ_2018-07-10_final
2018-07-14 09:37:45	ga_s2bm_ard_3-2-1_55GFQ_2018-07-14_final
2018-07-21 09:22:46	ga_s2bm_ard_3-2-1_55GFQ_2018-07-20_final
2018-07-24 09:37:44	ga_s2bm_ard_3-2-1_55GFQ_2018-07-24_final
2018-07-31 09:25:23	ga_s2bm_ard_3-2-1_55GFQ_2018-07-30_final
2018-08-03 09:32:43	ga_s2bm_ard_3-2-1_55GFQ_2018-08-03_final
2018-08-10 09:23:23	ga_s2bm_ard_3-2-1_55GFQ_2018-08-09_final
2018-08-13 09:35:52	ga_s2bm_ard_3-2-1_55GFQ_2018-08-13_final
2018-08-20 09:25:52	ga_s2bm_ard_3-2-1_55GFQ_2018-08-19_final
2018-08-23 09:37:39	ga_s2bm_ard_3-2-1_55GFQ_2018-08-23_final
2018-08-30 09:27:06	ga_s2bm_ard_3-2-1_55GFQ_2018-08-29_final
2018-09-02 09:35:46	ga_s2bm_ard_3-2-1_55GFQ_2018-09-02_final
2021-04-29 09:38:08	ga_s2bm_ard_3-2-1_55GFQ_2021-04-29_final
2021-05-06 09:28:13	ga_s2bm_ard_3-2-1_55GFQ_2021-05-05_final
2021-05-09 09:38:10	ga_s2bm_ard_3-2-1_55GFQ_2021-05-09_final
2021-05-16 09:28:15	ga_s2bm_ard_3-2-1_55GFQ_2021-05-15_final
2021-05-19 09:38:12	ga_s2bm_ard_3-2-1_55GFQ_2021-05-19_final
2021-05-26 09:28:16	ga_s2bm_ard_3-2-1_55GFQ_2021-05-25_final
2021-05-29 09:38:13	ga_s2bm_ard_3-2-1_55GFQ_2021-05-29_final
2021-06-05 09:28:17	ga_s2bm_ard_3-2-1_55GFQ_2021-06-04_final
2021-06-08 09:38:13	ga_s2bm_ard_3-2-1_55GFQ_2021-06-08_final
2021-06-15 09:28:17	ga_s2bm_ard_3-2-1_55GFQ_2021-06-14_final
2021-06-18 09:38:13	ga_s2bm_ard_3-2-1_55GFQ_2021-06-18_final
2021-06-25 09:28:16	ga_s2bm_ard_3-2-1_55GFQ_2021-06-24_final
2021-06-28 09:38:13	ga_s2bm_ard_3-2-1_55GFQ_2021-06-28_final
2021-07-05 09:28:17	ga_s2bm_ard_3-2-1_55GFQ_2021-07-04_final
2021-07-08 09:38:14	ga_s2bm_ard_3-2-1_55GFQ_2021-07-08_final
2021-07-15 09:28:18	ga_s2bm_ard_3-2-1_55GFQ_2021-07-14_final
2021-07-18 09:38:14	ga_s2bm_ard_3-2-1_55GFQ_2021-07-18_final
2021-07-25 09:28:18	ga_s2bm_ard_3-2-1_55GFQ_2021-07-24_final
2021-07-28 09:38:14	ga_s2bm_ard_3-2-1_55GFQ_2021-07-28_final
2021-08-04 09:28:17	ga_s2bm_ard_3-2-1_55GFQ_2021-08-03_final
2021-08-07 09:38:13	ga_s2bm_ard_3-2-1_55GFQ_2021-08-07_final
2021-08-14 09:28:16	ga_s2bm_ard_3-2-1_55GFQ_2021-08-13_final
2021-08-17 09:38:12	ga_s2bm_ard_3-2-1_55GFQ_2021-08-17_final
2021-08-24 09:28:15	ga_s2bm_ard_3-2-1_55GFQ_2021-08-23_final
2021-08-27 09:38:10	ga_s2bm_ard_3-2-1_55GFQ_2021-08-27_final
2021-09-03 09:28:12	ga_s2bm_ard_3-2-1_55GFQ_2021-09-02_final
2021-09-06 09:38:09	ga_s2bm_ard_3-2-1_55GFQ_2021-09-06_final
2021-09-13 09:28:12	ga_s2bm_ard_3-2-1_55GFQ_2021-09-12_final
2021-09-16 09:38:08	ga_s2bm_ard_3-2-1_55GFQ_2021-09-16_final
2021-09-23 09:28:14	ga_s2bm_ard_3-2-1_55GFQ_2021-09-22_final
2021-09-26 09:38:11	ga_s2bm_ard_3-2-1_55GFQ_2021-09-26_final
2021-10-03 09:28:16	ga_s2bm_ard_3-2-1_55GFQ_2021-10-02_final
2021-10-06 09:38:13	ga_s2bm_ard_3-2-1_55GFQ_2021-10-06_final
2021-10-13 09:28:17	ga_s2bm_ard_3-2-1_55GFQ_2021-10-12_final
2021-10-16 09:38:14	ga_s2bm_ard_3-2-1_55GFQ_2021-10-16_final
2021-10-23 09:28:17	ga_s2bm_ard_3-2-1_55GFQ_2021-10-22_final
2021-10-26 09:38:14	ga_s2bm_ard_3-2-1_55GFQ_2021-10-26_final
2021-11-02 09:28:17	ga_s2bm_ard_3-2-1_55GFQ_2021-11-01_final
2021-11-05 09:38:13	ga_s2bm_ard_3-2-1_55GFQ_2021-11-05_final
2021-11-12 09:28:15	ga_s2bm_ard_3-2-1_55GFQ_2021-11-11_final
2021-11-15 09:38:11	ga_s2bm_ard_3-2-1_55GFQ_2021-11-15_final
2021-11-22 09:28:13	ga_s2bm_ard_3-2-1_55GFQ_2021-11-21_final
2021-11-25 09:38:08	ga_s2bm_ard_3-2-1_55GFQ_2021-11-25_final
2021-12-02 09:28:11	ga_s2bm_ard_3-2-1_55GFQ_2021-12-01_final
2021-12-05 09:38:07	ga_s2bm_ard_3-2-1_55GFQ_2021-12-05_final
2021-12-12 09:28:10	ga_s2bm_ard_3-2-1_55GFQ_2021-12-11_final
2021-12-15 09:38:06	ga_s2bm_ard_3-2-1_55GFQ_2021-12-15_final
2021-12-22 09:28:11	ga_s2bm_ard_3-2-1_55GFQ_2021-12-21_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years