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
2017-09-11 10:47:16	ga_s2bm_ard_3-2-1_53KLA_2017-09-11_final
2017-10-31 10:47:11	ga_s2bm_ard_3-2-1_53KLA_2017-10-31_final
2017-11-30 10:47:13	ga_s2bm_ard_3-2-1_53KLA_2017-11-30_final
2017-12-20 10:47:12	ga_s2bm_ard_3-2-1_53KLA_2017-12-20_final
2018-01-09 10:47:16	ga_s2bm_ard_3-2-1_53KLA_2018-01-09_final
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_53KLA_2018-01-19_final
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53KLA_2018-01-29_final
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_53KLA_2018-02-08_final
2018-02-18 10:47:17	ga_s2bm_ard_3-2-1_53KLA_2018-02-18_final
2018-02-28 10:47:16	ga_s2bm_ard_3-2-1_53KLA_2018-02-28_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_53KLA_2018-03-10_final
2018-03-20 10:51:09	ga_s2bm_ard_3-2-1_53KLA_2018-03-20_final
2018-03-30 10:47:20	ga_s2bm_ard_3-2-1_53KLA_2018-03-30_final
2018-04-09 10:50:37	ga_s2bm_ard_3-2-1_53KLA_2018-04-09_final
2018-04-19 10:47:23	ga_s2bm_ard_3-2-1_53KLA_2018-04-19_final
2018-04-29 10:47:24	ga_s2bm_ard_3-2-1_53KLA_2018-04-29_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_53KLA_2018-05-09_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_53KLA_2018-05-19_final
2018-05-29 10:47:21	ga_s2bm_ard_3-2-1_53KLA_2018-05-29_final
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_53KLA_2018-06-08_final
2018-06-18 10:47:23	ga_s2bm_ard_3-2-1_53KLA_2018-06-18_final
2018-06-28 10:47:24	ga_s2bm_ard_3-2-1_53KLA_2018-06-28_final
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_53KLA_2018-07-08_final
2018-07-18 10:51:28	ga_s2bm_ard_3-2-1_53KLA_2018-07-18_final
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_53KLA_2018-07-28_final
2018-08-07 10:51:29	ga_s2bm_ard_3-2-1_53KLA_2018-08-07_final
2018-08-17 10:51:23	ga_s2bm_ard_3-2-1_53KLA_2018-08-17_final
2018-08-27 10:49:47	ga_s2bm_ard_3-2-1_53KLA_2018-08-27_final
2018-09-06 10:51:21	ga_s2bm_ard_3-2-1_53KLA_2018-09-06_final
2018-09-16 10:51:21	ga_s2bm_ard_3-2-1_53KLA_2018-09-16_final
2018-09-26 10:49:50	ga_s2bm_ard_3-2-1_53KLA_2018-09-26_final
2018-10-06 10:51:25	ga_s2bm_ard_3-2-1_53KLA_2018-10-06_final
2018-10-16 10:51:27	ga_s2bm_ard_3-2-1_53KLA_2018-10-16_final
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_53KLA_2018-10-16_final
2018-10-26 10:50:30	ga_s2bm_ard_3-2-1_53KLA_2018-10-26_final
2018-11-05 10:47:22	ga_s2bm_ard_3-2-1_53KLA_2018-11-05_final
2018-11-15 10:52:09	ga_s2bm_ard_3-2-1_53KLA_2018-11-15_final
2018-11-25 10:52:08	ga_s2bm_ard_3-2-1_53KLA_2018-11-25_final
2018-12-05 10:52:07	ga_s2bm_ard_3-2-1_53KLA_2018-12-05_final
2020-04-25 10:45:20	ga_s2bm_ard_3-2-1_53JLH_2020-04-25_final
2020-05-05 10:45:23	ga_s2bm_ard_3-2-1_53JLH_2020-05-05_final
2020-05-15 10:45:25	ga_s2bm_ard_3-2-1_53JLH_2020-05-15_final
2020-05-25 10:45:27	ga_s2bm_ard_3-2-1_53JLH_2020-05-25_final
2020-06-04 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2020-06-04_final
2020-06-14 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2020-06-14_final
2020-06-24 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2020-06-24_final
2020-07-04 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2020-07-04_final
2020-07-14 10:45:27	ga_s2bm_ard_3-2-1_53JLH_2020-07-14_final
2020-07-24 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2020-07-24_final
2020-08-03 10:45:29	ga_s2bm_ard_3-2-1_53JLH_2020-08-03_final
2020-08-13 10:45:29	ga_s2bm_ard_3-2-1_53JLH_2020-08-13_final
2020-08-23 10:45:29	ga_s2bm_ard_3-2-1_53JLH_2020-08-23_final
2020-09-02 10:45:29	ga_s2bm_ard_3-2-1_53JLH_2020-09-02_final
2020-09-12 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2020-09-12_final
2020-09-22 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2020-09-22_final
2020-10-02 10:45:29	ga_s2bm_ard_3-2-1_53JLH_2020-10-02_final
2020-10-12 10:45:29	ga_s2bm_ard_3-2-1_53JLH_2020-10-12_final
2020-10-22 10:45:29	ga_s2bm_ard_3-2-1_53JLH_2020-10-22_final
2020-11-01 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2020-11-01_final
2020-11-11 10:45:27	ga_s2bm_ard_3-2-1_53JLH_2020-11-11_final
2020-11-21 10:45:26	ga_s2bm_ard_3-2-1_53JLH_2020-11-21_final
2020-12-01 10:45:25	ga_s2bm_ard_3-2-1_53JLH_2020-12-01_final
2020-12-01 10:45:31	ga_s2bm_ard_3-2-1_53JLH_2020-12-01_final
2020-12-11 10:45:23	ga_s2bm_ard_3-2-1_53JLH_2020-12-11_final
2021-09-10 10:52:08	ga_s2bm_ard_3-2-1_53KLA_2021-09-10_final
2021-09-20 10:52:09	ga_s2bm_ard_3-2-1_53KLA_2021-09-20_final
2021-09-30 10:52:11	ga_s2bm_ard_3-2-1_53KLA_2021-09-30_final
2021-10-10 10:52:13	ga_s2bm_ard_3-2-1_53KLA_2021-10-10_final
2021-10-20 10:52:13	ga_s2bm_ard_3-2-1_53KLA_2021-10-20_final
2021-10-30 10:52:13	ga_s2bm_ard_3-2-1_53KLA_2021-10-30_final
2021-11-09 10:52:12	ga_s2bm_ard_3-2-1_53KLA_2021-11-09_final
2021-11-19 10:52:09	ga_s2bm_ard_3-2-1_53KLA_2021-11-19_final
2021-11-29 10:52:07	ga_s2bm_ard_3-2-1_53KLA_2021-11-29_final
2021-12-09 10:52:07	ga_s2bm_ard_3-2-1_53KLA_2021-12-09_final
2021-12-19 10:52:06	ga_s2bm_ard_3-2-1_53KLA_2021-12-19_final
2021-12-29 10:52:08	ga_s2bm_ard_3-2-1_53KLA_2021-12-29_final
2022-01-08 10:52:08	ga_s2bm_ard_3-2-1_53KLA_2022-01-08_final
2022-01-18 10:52:07	ga_s2bm_ard_3-2-1_53KLA_2022-01-18_final
2022-01-28 10:52:06	ga_s2bm_ard_3-2-1_53KLA_2022-01-28_final
2022-02-07 10:52:06	ga_s2bm_ard_3-2-1_53KLA_2022-02-07_final
2022-02-17 10:52:05	ga_s2bm_ard_3-2-1_53KLA_2022-02-17_final
2022-02-27 10:52:08	ga_s2bm_ard_3-2-1_53KLA_2022-02-27_final
2022-03-09 10:52:10	ga_s2bm_ard_3-2-1_53KLA_2022-03-09_final
2022-03-19 10:52:10	ga_s2bm_ard_3-2-1_53KLA_2022-03-19_final
2022-03-29 10:52:09	ga_s2bm_ard_3-2-1_53KLA_2022-03-29_final
2022-04-08 10:52:09	ga_s2bm_ard_3-2-1_53KLA_2022-04-08_final
2022-04-18 10:52:08	ga_s2bm_ard_3-2-1_53KLA_2022-04-18_final
2022-04-28 10:52:05	ga_s2bm_ard_3-2-1_53KLA_2022-04-28_final
2022-05-08 10:52:08	ga_s2bm_ard_3-2-1_53KLA_2022-05-08_final
2022-05-18 10:52:11	ga_s2bm_ard_3-2-1_53KLA_2022-05-18_final
2022-05-28 10:52:12	ga_s2bm_ard_3-2-1_53KLA_2022-05-28_final
2022-06-07 10:52:13	ga_s2bm_ard_3-2-1_53KLA_2022-06-07_final
2022-06-17 10:52:16	ga_s2bm_ard_3-2-1_53KLA_2022-06-17_final
2022-06-27 10:52:17	ga_s2bm_ard_3-2-1_53KLA_2022-06-27_final
2022-07-07 10:52:17	ga_s2bm_ard_3-2-1_53KLA_2022-07-07_final
2022-07-17 10:52:16	ga_s2bm_ard_3-2-1_53KLA_2022-07-17_final
2022-07-27 10:52:17	ga_s2bm_ard_3-2-1_53KLA_2022-07-27_final
2022-08-06 10:52:16	ga_s2bm_ard_3-2-1_53KLA_2022-08-06_final
2022-08-16 10:52:15	ga_s2bm_ard_3-2-1_53KLA_2022-08-16_final
2022-08-26 10:52:12	ga_s2bm_ard_3-2-1_53KLA_2022-08-26_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