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
2020-02-03 11:43:26	ga_s2bm_ard_3-2-1_50KRB_2020-02-03_final
2020-03-24 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2020-03-24_final
2020-04-23 11:43:27	ga_s2bm_ard_3-2-1_50KRB_2020-04-23_final
2020-05-03 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2020-05-03_final
2020-05-13 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2020-05-13_final
2020-05-23 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2020-05-23_final
2020-06-02 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2020-06-02_final
2020-06-12 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2020-06-12_final
2020-08-01 11:43:36	ga_s2bm_ard_3-2-1_50KRB_2020-08-01_final
2020-10-20 11:43:37	ga_s2bm_ard_3-2-1_50KRB_2020-10-20_final
2020-11-19 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2020-11-19_final
2020-11-29 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2020-11-29_final
2020-12-09 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2020-12-09_final
2020-12-19 11:43:29	ga_s2bm_ard_3-2-1_50KRB_2020-12-19_final
2020-12-29 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2020-12-29_final
2021-01-08 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2021-01-08_final
2021-01-18 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2021-01-18_final
2021-01-28 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2021-01-28_final
2021-02-07 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2021-02-07_final
2021-02-17 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2021-02-17_final
2021-02-27 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2021-02-27_final
2021-03-09 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2021-03-09_final
2021-03-19 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2021-03-19_final
2021-03-29 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2021-03-29_final
2021-04-08 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2021-04-08_final
2021-04-18 11:43:28	ga_s2bm_ard_3-2-1_50KRB_2021-04-18_final
2021-04-28 11:43:28	ga_s2bm_ard_3-2-1_50KRB_2021-04-28_final
2021-05-08 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2021-05-08_final
2021-05-18 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2021-05-18_final
2021-12-28 09:42:39	ga_s2bm_ard_3-2-1_55KHS_2021-12-28_final
2022-01-07 09:42:39	ga_s2bm_ard_3-2-1_55KHS_2022-01-07_final
2022-01-08 10:53:10	ga_s2bm_ard_3-2-1_52KHB_2022-01-08_final
2022-01-11 11:03:05	ga_s2bm_ard_3-2-1_52KHB_2022-01-11_final
2022-01-17 09:42:39	ga_s2bm_ard_3-2-1_55KHS_2022-01-17_final
2022-01-18 10:53:09	ga_s2bm_ard_3-2-1_52KHB_2022-01-18_final
2022-01-21 11:03:04	ga_s2bm_ard_3-2-1_52KHB_2022-01-21_final
2022-01-27 09:42:37	ga_s2bm_ard_3-2-1_55KHS_2022-01-27_final
2022-01-28 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-01-28_final
2022-01-31 11:03:03	ga_s2bm_ard_3-2-1_52KHB_2022-01-31_final
2022-02-06 09:42:37	ga_s2bm_ard_3-2-1_55KHS_2022-02-06_final
2022-02-07 10:53:08	ga_s2bm_ard_3-2-1_52KHB_2022-02-07_final
2022-02-10 11:03:03	ga_s2bm_ard_3-2-1_52KHB_2022-02-10_final
2022-02-16 09:42:37	ga_s2bm_ard_3-2-1_55KHS_2022-02-16_final
2022-02-17 10:53:07	ga_s2bm_ard_3-2-1_52KHB_2022-02-17_final
2022-02-20 11:03:03	ga_s2bm_ard_3-2-1_52KHB_2022-02-20_final
2022-02-26 09:42:39	ga_s2bm_ard_3-2-1_55KHS_2022-02-26_final
2022-02-27 10:53:10	ga_s2bm_ard_3-2-1_52KHB_2022-02-27_final
2022-03-02 11:03:06	ga_s2bm_ard_3-2-1_52KHB_2022-03-02_final
2022-03-08 09:42:41	ga_s2bm_ard_3-2-1_55KHS_2022-03-08_final
2022-03-09 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2022-03-09_final
2022-03-12 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2022-03-12_final
2022-03-18 09:42:41	ga_s2bm_ard_3-2-1_55KHS_2022-03-18_final
2022-03-19 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2022-03-19_final
2022-03-22 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2022-03-22_final
2022-03-28 09:42:40	ga_s2bm_ard_3-2-1_55KHS_2022-03-28_final
2022-03-29 10:53:11	ga_s2bm_ard_3-2-1_52KHB_2022-03-29_final
2022-04-01 11:03:06	ga_s2bm_ard_3-2-1_52KHB_2022-04-01_final
2022-04-07 09:42:40	ga_s2bm_ard_3-2-1_55KHS_2022-04-07_final
2022-04-08 10:53:11	ga_s2bm_ard_3-2-1_52KHB_2022-04-08_final
2022-04-11 11:03:06	ga_s2bm_ard_3-2-1_52KHB_2022-04-11_final
2022-04-17 09:42:39	ga_s2bm_ard_3-2-1_55KHS_2022-04-17_final
2022-04-18 10:53:10	ga_s2bm_ard_3-2-1_52KHB_2022-04-18_final
2022-04-21 11:03:04	ga_s2bm_ard_3-2-1_52KHB_2022-04-21_final
2022-04-27 09:42:36	ga_s2bm_ard_3-2-1_55KHS_2022-04-27_final
2022-04-28 10:53:07	ga_s2bm_ard_3-2-1_52KHB_2022-04-28_final
2022-05-01 11:03:03	ga_s2bm_ard_3-2-1_52KHB_2022-05-01_final
2022-05-07 09:42:39	ga_s2bm_ard_3-2-1_55KHS_2022-05-07_final
2022-05-08 10:53:10	ga_s2bm_ard_3-2-1_52KHB_2022-05-08_final
2022-05-11 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2022-05-11_final
2022-05-17 09:42:42	ga_s2bm_ard_3-2-1_55KHS_2022-05-17_final
2022-05-18 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-05-18_final
2022-05-21 11:03:09	ga_s2bm_ard_3-2-1_52KHB_2022-05-21_final
2022-05-27 09:42:43	ga_s2bm_ard_3-2-1_55KHS_2022-05-27_final
2022-05-28 10:53:14	ga_s2bm_ard_3-2-1_52KHB_2022-05-28_final
2022-05-31 11:03:09	ga_s2bm_ard_3-2-1_52KHB_2022-05-31_final
2022-06-06 09:42:44	ga_s2bm_ard_3-2-1_55KHS_2022-06-06_final
2022-06-07 10:53:15	ga_s2bm_ard_3-2-1_52KHB_2022-06-07_final
2022-06-10 11:03:11	ga_s2bm_ard_3-2-1_52KHB_2022-06-10_final
2022-06-16 09:42:47	ga_s2bm_ard_3-2-1_55KHS_2022-06-16_final
2022-06-17 10:53:18	ga_s2bm_ard_3-2-1_52KHB_2022-06-17_final
2022-06-20 11:03:14	ga_s2bm_ard_3-2-1_52KHB_2022-06-20_final
2022-06-26 09:42:48	ga_s2bm_ard_3-2-1_55KHS_2022-06-26_final
2022-06-27 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2022-06-27_final
2022-06-30 11:03:14	ga_s2bm_ard_3-2-1_52KHB_2022-06-30_final
2022-07-06 09:42:48	ga_s2bm_ard_3-2-1_55KHS_2022-07-06_final
2022-07-07 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2022-07-07_final
2022-07-10 11:03:14	ga_s2bm_ard_3-2-1_52KHB_2022-07-10_final
2022-07-16 09:42:48	ga_s2bm_ard_3-2-1_55KHS_2022-07-16_final
2022-07-17 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2022-07-17_final
2022-07-20 11:03:14	ga_s2bm_ard_3-2-1_52KHB_2022-07-20_final
2022-07-26 09:42:48	ga_s2bm_ard_3-2-1_55KHS_2022-07-26_final
2022-07-27 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2022-07-27_final
2022-07-30 11:03:14	ga_s2bm_ard_3-2-1_52KHB_2022-07-30_final
2022-08-05 09:42:48	ga_s2bm_ard_3-2-1_55KHS_2022-08-05_final
2022-08-06 10:53:18	ga_s2bm_ard_3-2-1_52KHB_2022-08-06_final
2022-08-09 11:03:13	ga_s2bm_ard_3-2-1_52KHB_2022-08-09_final
2022-08-15 09:42:46	ga_s2bm_ard_3-2-1_55KHS_2022-08-15_final
2022-08-16 10:53:17	ga_s2bm_ard_3-2-1_52KHB_2022-08-16_final
2022-08-19 11:03:11	ga_s2bm_ard_3-2-1_52KHB_2022-08-19_final
2022-08-25 09:42:43	ga_s2bm_ard_3-2-1_55KHS_2022-08-25_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