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
2018-07-14 09:32:38	ga_s2bm_ard_3-2-1_56JLR_2018-07-14_final
2018-07-27 09:41:06	ga_s2bm_ard_3-2-1_56JLR_2018-07-27_final
2018-08-06 09:41:04	ga_s2bm_ard_3-2-1_56JLR_2018-08-06_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_56JLR_2018-08-16_final
2019-02-05 09:54:23	ga_s2bm_ard_3-2-1_55JCL_2019-02-05_final
2019-02-15 09:54:22	ga_s2bm_ard_3-2-1_55JCL_2019-02-15_final
2019-02-25 09:54:22	ga_s2bm_ard_3-2-1_55JCL_2019-02-25_final
2019-03-07 09:54:20	ga_s2bm_ard_3-2-1_55JCL_2019-03-07_final
2019-03-17 09:54:21	ga_s2bm_ard_3-2-1_55JCL_2019-03-17_final
2019-03-27 09:54:24	ga_s2bm_ard_3-2-1_55JCL_2019-03-27_final
2019-04-06 09:54:26	ga_s2bm_ard_3-2-1_55JCL_2019-04-06_final
2019-04-16 09:54:28	ga_s2bm_ard_3-2-1_55JCL_2019-04-16_final
2019-04-26 09:54:30	ga_s2bm_ard_3-2-1_55JCL_2019-04-26_final
2019-05-06 09:54:31	ga_s2bm_ard_3-2-1_55JCL_2019-05-06_final
2019-05-16 09:54:31	ga_s2bm_ard_3-2-1_55JCL_2019-05-16_final
2019-05-26 09:54:31	ga_s2bm_ard_3-2-1_55JCL_2019-05-26_final
2019-06-05 09:54:31	ga_s2bm_ard_3-2-1_55JCL_2019-06-05_final
2019-06-15 09:54:30	ga_s2bm_ard_3-2-1_55JCL_2019-06-15_final
2019-06-25 09:54:31	ga_s2bm_ard_3-2-1_55JCL_2019-06-25_final
2019-07-05 09:54:31	ga_s2bm_ard_3-2-1_55JCL_2019-07-05_final
2019-07-15 09:54:31	ga_s2bm_ard_3-2-1_55JCL_2019-07-15_final
2019-07-25 09:54:31	ga_s2bm_ard_3-2-1_55JCL_2019-07-25_final
2019-08-04 09:54:30	ga_s2bm_ard_3-2-1_55JCL_2019-08-04_final
2019-08-14 09:54:29	ga_s2bm_ard_3-2-1_55JCL_2019-08-14_final
2019-08-24 09:54:28	ga_s2bm_ard_3-2-1_55JCL_2019-08-24_final
2019-09-03 09:54:26	ga_s2bm_ard_3-2-1_55JCL_2019-09-03_final
2019-09-13 09:54:23	ga_s2bm_ard_3-2-1_55JCL_2019-09-13_final
2019-09-23 09:54:22	ga_s2bm_ard_3-2-1_55JCL_2019-09-23_final
2019-10-03 09:54:23	ga_s2bm_ard_3-2-1_55JCL_2019-10-03_final
2019-10-06 10:04:23	ga_s2bm_ard_3-2-1_55JCL_2019-10-06_final
2019-10-13 09:54:24	ga_s2bm_ard_3-2-1_55JCL_2019-10-13_final
2019-10-16 10:04:23	ga_s2bm_ard_3-2-1_55JCL_2019-10-16_final
2019-10-23 09:54:24	ga_s2bm_ard_3-2-1_55JCL_2019-10-23_final
2019-11-02 09:54:23	ga_s2bm_ard_3-2-1_55JCL_2019-11-02_final
2019-11-12 09:54:22	ga_s2bm_ard_3-2-1_55JCL_2019-11-12_final
2019-11-22 09:54:20	ga_s2bm_ard_3-2-1_55JCL_2019-11-22_final
2019-12-02 09:54:17	ga_s2bm_ard_3-2-1_55JCL_2019-12-02_final
2019-12-12 09:54:17	ga_s2bm_ard_3-2-1_55JCL_2019-12-12_final
2019-12-22 09:54:18	ga_s2bm_ard_3-2-1_55JCL_2019-12-22_final
2019-12-26 09:34:06	ga_s2bm_ard_3-2-1_56JLR_2019-12-26_final
2019-12-29 09:44:01	ga_s2bm_ard_3-2-1_56JLR_2019-12-29_final
2020-01-01 09:54:18	ga_s2bm_ard_3-2-1_55JCL_2020-01-01_final
2020-01-05 09:34:06	ga_s2bm_ard_3-2-1_56JLR_2020-01-05_final
2020-01-08 09:44:00	ga_s2bm_ard_3-2-1_56JLR_2020-01-08_final
2020-01-11 09:54:17	ga_s2bm_ard_3-2-1_55JCL_2020-01-11_final
2020-01-15 09:34:06	ga_s2bm_ard_3-2-1_56JLR_2020-01-15_final
2020-01-18 09:44:00	ga_s2bm_ard_3-2-1_56JLR_2020-01-18_final
2020-01-21 09:54:16	ga_s2bm_ard_3-2-1_55JCL_2020-01-21_final
2020-01-25 09:34:04	ga_s2bm_ard_3-2-1_56JLR_2020-01-25_final
2020-01-28 09:43:58	ga_s2bm_ard_3-2-1_56JLR_2020-01-28_final
2020-02-03 10:04:13	ga_s2bm_ard_3-2-1_55JCL_2020-02-03_final
2020-02-04 09:34:05	ga_s2bm_ard_3-2-1_56JLR_2020-02-04_final
2020-02-07 09:44:00	ga_s2bm_ard_3-2-1_56JLR_2020-02-07_final
2020-02-14 09:34:07	ga_s2bm_ard_3-2-1_56JLR_2020-02-14_final
2020-02-17 09:44:01	ga_s2bm_ard_3-2-1_56JLR_2020-02-17_final
2020-02-24 09:34:08	ga_s2bm_ard_3-2-1_56JLR_2020-02-24_final
2020-02-27 09:44:03	ga_s2bm_ard_3-2-1_56JLR_2020-02-27_final
2020-03-01 09:54:20	ga_s2bm_ard_3-2-1_55JCL_2020-03-01_final
2020-03-05 09:34:09	ga_s2bm_ard_3-2-1_56JLR_2020-03-05_final
2020-03-08 09:44:03	ga_s2bm_ard_3-2-1_56JLR_2020-03-08_final
2020-03-11 09:54:21	ga_s2bm_ard_3-2-1_55JCL_2020-03-11_final
2020-03-15 09:34:09	ga_s2bm_ard_3-2-1_56JLR_2020-03-15_final
2020-03-18 09:44:04	ga_s2bm_ard_3-2-1_56JLR_2020-03-18_final
2020-03-21 09:54:21	ga_s2bm_ard_3-2-1_55JCL_2020-03-21_final
2020-03-25 09:34:09	ga_s2bm_ard_3-2-1_56JLR_2020-03-25_final
2020-03-28 09:44:03	ga_s2bm_ard_3-2-1_56JLR_2020-03-28_final
2020-04-04 09:34:08	ga_s2bm_ard_3-2-1_56JLR_2020-04-04_final
2020-04-07 09:44:02	ga_s2bm_ard_3-2-1_56JLR_2020-04-07_final
2020-04-10 09:54:19	ga_s2bm_ard_3-2-1_55JCL_2020-04-10_final
2020-04-14 09:34:07	ga_s2bm_ard_3-2-1_56JLR_2020-04-14_final
2020-04-17 09:44:01	ga_s2bm_ard_3-2-1_56JLR_2020-04-17_final
2020-04-24 09:34:06	ga_s2bm_ard_3-2-1_56JLR_2020-04-24_final
2020-04-27 09:44:01	ga_s2bm_ard_3-2-1_56JLR_2020-04-27_final
2020-04-30 09:54:19	ga_s2bm_ard_3-2-1_55JCL_2020-04-30_final
2020-05-04 09:34:08	ga_s2bm_ard_3-2-1_56JLR_2020-05-04_final
2020-05-07 09:44:03	ga_s2bm_ard_3-2-1_56JLR_2020-05-07_final
2020-05-14 09:34:10	ga_s2bm_ard_3-2-1_56JLR_2020-05-14_final
2020-05-17 09:44:05	ga_s2bm_ard_3-2-1_56JLR_2020-05-17_final
2020-05-20 09:54:23	ga_s2bm_ard_3-2-1_55JCL_2020-05-20_final
2020-05-24 09:34:12	ga_s2bm_ard_3-2-1_56JLR_2020-05-24_final
2020-05-27 09:44:07	ga_s2bm_ard_3-2-1_56JLR_2020-05-27_final
2020-06-03 09:34:13	ga_s2bm_ard_3-2-1_56JLR_2020-06-03_final
2020-06-06 09:44:07	ga_s2bm_ard_3-2-1_56JLR_2020-06-06_final
2020-06-09 09:54:25	ga_s2bm_ard_3-2-1_55JCL_2020-06-09_final
2020-06-13 09:34:14	ga_s2bm_ard_3-2-1_56JLR_2020-06-13_final
2020-06-16 09:44:08	ga_s2bm_ard_3-2-1_56JLR_2020-06-16_final
2020-06-19 09:54:25	ga_s2bm_ard_3-2-1_55JCL_2020-06-19_final
2020-06-23 09:34:14	ga_s2bm_ard_3-2-1_56JLR_2020-06-23_final
2020-06-26 09:44:08	ga_s2bm_ard_3-2-1_56JLR_2020-06-26_final
2020-07-03 09:34:13	ga_s2bm_ard_3-2-1_56JLR_2020-07-03_final
2020-07-06 09:44:08	ga_s2bm_ard_3-2-1_56JLR_2020-07-06_final
2020-07-09 09:54:25	ga_s2bm_ard_3-2-1_55JCL_2020-07-09_final
2020-07-13 09:34:13	ga_s2bm_ard_3-2-1_56JLR_2020-07-13_final
2020-07-16 09:44:07	ga_s2bm_ard_3-2-1_56JLR_2020-07-16_final
2020-07-23 09:34:13	ga_s2bm_ard_3-2-1_56JLR_2020-07-23_final
2020-07-26 09:44:08	ga_s2bm_ard_3-2-1_56JLR_2020-07-26_final
2020-08-02 09:34:14	ga_s2bm_ard_3-2-1_56JLR_2020-08-02_final
2020-08-05 09:44:09	ga_s2bm_ard_3-2-1_56JLR_2020-08-05_final
2020-08-12 09:34:15	ga_s2bm_ard_3-2-1_56JLR_2020-08-12_final
2020-08-15 09:44:09	ga_s2bm_ard_3-2-1_56JLR_2020-08-15_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