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
2017-11-09 09:42:14	ga_s2bm_ard_3-2-1_55JFL_2017-11-09_final
2017-11-12 09:50:41	ga_s2bm_ard_3-2-1_55JFL_2017-11-12_final
2017-11-19 09:42:00	ga_s2bm_ard_3-2-1_55JFL_2017-11-19_final
2017-11-22 09:51:43	ga_s2bm_ard_3-2-1_55JFL_2017-11-22_final
2017-12-02 09:52:46	ga_s2bm_ard_3-2-1_55JFL_2017-12-02_final
2017-12-09 09:43:42	ga_s2bm_ard_3-2-1_55JFL_2017-12-09_final
2017-12-12 09:51:43	ga_s2bm_ard_3-2-1_55JFL_2017-12-12_final
2017-12-19 09:42:15	ga_s2bm_ard_3-2-1_55JFL_2017-12-19_final
2017-12-22 09:52:45	ga_s2bm_ard_3-2-1_55JFL_2017-12-22_final
2017-12-29 09:43:43	ga_s2bm_ard_3-2-1_55JFL_2017-12-29_final
2018-01-01 09:51:45	ga_s2bm_ard_3-2-1_55JFL_2018-01-01_final
2018-01-08 09:42:19	ga_s2bm_ard_3-2-1_55JFL_2018-01-08_final
2018-01-11 09:52:49	ga_s2bm_ard_3-2-1_55JFL_2018-01-11_final
2018-01-18 09:43:46	ga_s2bm_ard_3-2-1_55JFL_2018-01-18_final
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JFL_2018-01-21_final
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55JFL_2018-01-28_final
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JFL_2018-01-31_final
2018-02-07 09:43:47	ga_s2bm_ard_3-2-1_55JFL_2018-02-07_final
2018-02-10 09:51:50	ga_s2bm_ard_3-2-1_55JFL_2018-02-10_final
2018-02-17 09:42:20	ga_s2bm_ard_3-2-1_55JFL_2018-02-17_final
2018-02-20 09:52:38	ga_s2bm_ard_3-2-1_55JFL_2018-02-20_final
2018-02-27 09:42:30	ga_s2bm_ard_3-2-1_55JFL_2018-02-27_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55JFL_2018-03-02_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JFL_2018-03-12_final
2018-03-19 09:41:02	ga_s2bm_ard_3-2-1_55JFL_2018-03-19_final
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55JFL_2018-03-22_final
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55JFL_2018-03-29_final
2018-04-01 09:50:50	ga_s2bm_ard_3-2-1_55JFL_2018-04-01_final
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55JFL_2018-04-08_final
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55JFL_2018-04-11_final
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_55JFL_2018-04-18_final
2018-04-21 09:50:53	ga_s2bm_ard_3-2-1_55JFL_2018-04-21_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55JFL_2018-04-28_final
2018-05-08 09:41:07	ga_s2bm_ard_3-2-1_55JFL_2018-05-08_final
2018-05-11 09:50:53	ga_s2bm_ard_3-2-1_55JFL_2018-05-11_final
2018-05-18 09:41:07	ga_s2bm_ard_3-2-1_55JFL_2018-05-18_final
2018-05-21 09:50:52	ga_s2bm_ard_3-2-1_55JFL_2018-05-21_final
2018-05-28 09:41:05	ga_s2bm_ard_3-2-1_55JFL_2018-05-28_final
2018-05-31 09:50:51	ga_s2bm_ard_3-2-1_55JFL_2018-05-31_final
2018-06-07 09:41:06	ga_s2bm_ard_3-2-1_55JFL_2018-06-07_final
2018-06-10 09:50:52	ga_s2bm_ard_3-2-1_55JFL_2018-06-10_final
2018-06-17 09:41:07	ga_s2bm_ard_3-2-1_55JFL_2018-06-17_final
2018-06-20 09:50:53	ga_s2bm_ard_3-2-1_55JFL_2018-06-20_final
2018-06-27 09:41:07	ga_s2bm_ard_3-2-1_55JFL_2018-06-27_final
2018-06-30 09:50:53	ga_s2bm_ard_3-2-1_55JFL_2018-06-30_final
2018-07-07 09:42:12	ga_s2bm_ard_3-2-1_55JFL_2018-07-07_final
2018-07-10 09:53:10	ga_s2bm_ard_3-2-1_55JFL_2018-07-10_final
2018-07-17 09:41:07	ga_s2bm_ard_3-2-1_55JFL_2018-07-17_final
2018-07-20 09:50:52	ga_s2bm_ard_3-2-1_55JFL_2018-07-20_final
2018-07-27 09:41:06	ga_s2bm_ard_3-2-1_55JFL_2018-07-27_final
2018-07-30 09:52:43	ga_s2bm_ard_3-2-1_55JFL_2018-07-30_final
2018-08-06 09:41:04	ga_s2bm_ard_3-2-1_55JFL_2018-08-06_final
2018-08-09 09:50:49	ga_s2bm_ard_3-2-1_55JFL_2018-08-09_final
2019-08-20 10:14:30	ga_s2bm_ard_3-2-1_54JXR_2019-08-20_final
2019-08-30 10:14:28	ga_s2bm_ard_3-2-1_54JXR_2019-08-30_final
2019-09-09 10:14:26	ga_s2bm_ard_3-2-1_54JXR_2019-09-09_final
2019-09-19 10:14:24	ga_s2bm_ard_3-2-1_54JXR_2019-09-19_final
2019-09-29 10:14:25	ga_s2bm_ard_3-2-1_54JXR_2019-09-29_final
2019-10-09 10:14:25	ga_s2bm_ard_3-2-1_54JXR_2019-10-09_final
2019-10-19 10:14:26	ga_s2bm_ard_3-2-1_54JXR_2019-10-19_final
2019-10-29 10:14:25	ga_s2bm_ard_3-2-1_54JXR_2019-10-29_final
2019-11-08 10:14:24	ga_s2bm_ard_3-2-1_54JXR_2019-11-08_final
2019-11-18 10:14:23	ga_s2bm_ard_3-2-1_54JXR_2019-11-18_final
2019-11-28 10:14:20	ga_s2bm_ard_3-2-1_54JXR_2019-11-28_final
2019-12-08 10:14:19	ga_s2bm_ard_3-2-1_54JXR_2019-12-08_final
2019-12-18 10:14:19	ga_s2bm_ard_3-2-1_54JXR_2019-12-18_final
2019-12-28 10:14:20	ga_s2bm_ard_3-2-1_54JXR_2019-12-28_final
2020-01-07 10:14:19	ga_s2bm_ard_3-2-1_54JXR_2020-01-07_final
2020-01-17 10:14:18	ga_s2bm_ard_3-2-1_54JXR_2020-01-17_final
2020-01-27 10:14:17	ga_s2bm_ard_3-2-1_54JXR_2020-01-27_final
2020-02-06 10:14:18	ga_s2bm_ard_3-2-1_54JXR_2020-02-06_final
2020-02-16 10:14:20	ga_s2bm_ard_3-2-1_54JXR_2020-02-16_final
2020-02-26 10:14:21	ga_s2bm_ard_3-2-1_54JXR_2020-02-26_final
2020-03-07 10:14:22	ga_s2bm_ard_3-2-1_54JXR_2020-03-07_final
2020-03-17 10:14:22	ga_s2bm_ard_3-2-1_54JXR_2020-03-17_final
2020-03-27 10:14:22	ga_s2bm_ard_3-2-1_54JXR_2020-03-27_final
2020-04-06 10:14:21	ga_s2bm_ard_3-2-1_54JXR_2020-04-06_final
2020-04-16 10:14:20	ga_s2bm_ard_3-2-1_54JXR_2020-04-16_final
2020-04-26 10:14:19	ga_s2bm_ard_3-2-1_54JXR_2020-04-26_final
2020-05-06 10:14:22	ga_s2bm_ard_3-2-1_54JXR_2020-05-06_final
2020-05-16 10:14:24	ga_s2bm_ard_3-2-1_54JXR_2020-05-16_final
2020-05-26 10:14:25	ga_s2bm_ard_3-2-1_54JXR_2020-05-26_final
2020-06-05 10:14:26	ga_s2bm_ard_3-2-1_54JXR_2020-06-05_final
2020-06-15 10:14:27	ga_s2bm_ard_3-2-1_54JXR_2020-06-15_final
2020-06-25 10:14:27	ga_s2bm_ard_3-2-1_54JXR_2020-06-25_final
2020-07-05 10:14:27	ga_s2bm_ard_3-2-1_54JXR_2020-07-05_final
2020-07-15 10:14:26	ga_s2bm_ard_3-2-1_54JXR_2020-07-15_final
2020-07-25 10:14:27	ga_s2bm_ard_3-2-1_54JXR_2020-07-25_final
2020-08-04 10:14:28	ga_s2bm_ard_3-2-1_54JXR_2020-08-04_final
2020-08-14 10:14:28	ga_s2bm_ard_3-2-1_54JXR_2020-08-14_final
2020-08-24 10:14:28	ga_s2bm_ard_3-2-1_54JXR_2020-08-24_final
2020-09-03 10:14:28	ga_s2bm_ard_3-2-1_54JXR_2020-09-03_final
2020-09-13 10:14:27	ga_s2bm_ard_3-2-1_54JXR_2020-09-13_final
2020-09-23 10:14:27	ga_s2bm_ard_3-2-1_54JXR_2020-09-23_final
2020-10-13 10:14:28	ga_s2bm_ard_3-2-1_54JXR_2020-10-13_final
2020-10-23 10:14:28	ga_s2bm_ard_3-2-1_54JXR_2020-10-23_final
2020-11-02 10:14:27	ga_s2bm_ard_3-2-1_54JXR_2020-11-02_final
2020-11-12 10:14:25	ga_s2bm_ard_3-2-1_54JXR_2020-11-12_final
2020-11-22 10:14:25	ga_s2bm_ard_3-2-1_54JXR_2020-11-22_final
2020-12-02 10:14:24	ga_s2bm_ard_3-2-1_54JXR_2020-12-02_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