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
2020-01-16 10:44:36	ga_s2bm_ard_3-2-1_53JLL_2020-01-16_final
2020-01-26 10:44:35	ga_s2bm_ard_3-2-1_53JLL_2020-01-26_final
2020-02-05 10:44:36	ga_s2bm_ard_3-2-1_53JLL_2020-02-05_final
2020-02-15 10:44:38	ga_s2bm_ard_3-2-1_53JLL_2020-02-15_final
2020-02-25 10:44:39	ga_s2bm_ard_3-2-1_53JLL_2020-02-25_final
2020-03-06 10:44:40	ga_s2bm_ard_3-2-1_53JLL_2020-03-06_final
2020-03-16 10:44:40	ga_s2bm_ard_3-2-1_53JLL_2020-03-16_final
2020-03-26 10:44:40	ga_s2bm_ard_3-2-1_53JLL_2020-03-26_final
2020-04-05 10:44:39	ga_s2bm_ard_3-2-1_53JLL_2020-04-05_final
2020-04-15 10:44:38	ga_s2bm_ard_3-2-1_53JLL_2020-04-15_final
2020-04-25 10:44:37	ga_s2bm_ard_3-2-1_53JLL_2020-04-25_final
2020-05-05 10:44:39	ga_s2bm_ard_3-2-1_53JLL_2020-05-05_final
2020-05-15 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2020-05-15_final
2020-05-25 10:44:43	ga_s2bm_ard_3-2-1_53JLL_2020-05-25_final
2020-06-04 10:44:44	ga_s2bm_ard_3-2-1_53JLL_2020-06-04_final
2020-06-14 10:44:44	ga_s2bm_ard_3-2-1_53JLL_2020-06-14_final
2020-06-24 10:44:45	ga_s2bm_ard_3-2-1_53JLL_2020-06-24_final
2020-07-04 10:44:44	ga_s2bm_ard_3-2-1_53JLL_2020-07-04_final
2020-07-14 10:44:43	ga_s2bm_ard_3-2-1_53JLL_2020-07-14_final
2020-07-24 10:44:44	ga_s2bm_ard_3-2-1_53JLL_2020-07-24_final
2020-08-03 10:44:45	ga_s2bm_ard_3-2-1_53JLL_2020-08-03_final
2020-08-13 10:44:46	ga_s2bm_ard_3-2-1_53JLL_2020-08-13_final
2020-08-23 10:44:46	ga_s2bm_ard_3-2-1_53JLL_2020-08-23_final
2020-09-02 10:44:45	ga_s2bm_ard_3-2-1_53JLL_2020-09-02_final
2020-09-12 10:44:44	ga_s2bm_ard_3-2-1_53JLL_2020-09-12_final
2020-09-22 10:44:44	ga_s2bm_ard_3-2-1_53JLL_2020-09-22_final
2020-10-02 10:44:45	ga_s2bm_ard_3-2-1_53JLL_2020-10-02_final
2020-10-12 10:44:46	ga_s2bm_ard_3-2-1_53JLL_2020-10-12_final
2020-10-22 10:44:46	ga_s2bm_ard_3-2-1_53JLL_2020-10-22_final
2020-11-01 10:44:45	ga_s2bm_ard_3-2-1_53JLL_2020-11-01_final
2020-11-11 10:44:43	ga_s2bm_ard_3-2-1_53JLL_2020-11-11_final
2020-11-21 10:44:43	ga_s2bm_ard_3-2-1_53JLL_2020-11-21_final
2020-12-01 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2020-12-01_final
2020-12-11 10:44:39	ga_s2bm_ard_3-2-1_53JLL_2020-12-11_final
2020-12-21 10:44:38	ga_s2bm_ard_3-2-1_53JLL_2020-12-21_final
2020-12-31 10:44:40	ga_s2bm_ard_3-2-1_53JLL_2020-12-31_final
2021-01-10 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2021-01-10_final
2021-01-20 10:44:42	ga_s2bm_ard_3-2-1_53JLL_2021-01-20_final
2021-01-23 10:54:42	ga_s2bm_ard_3-2-1_53JLL_2021-01-23_final
2021-01-30 10:44:42	ga_s2bm_ard_3-2-1_53JLL_2021-01-30_final
2021-02-09 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2021-02-09_final
2021-02-19 10:44:40	ga_s2bm_ard_3-2-1_53JLL_2021-02-19_final
2021-03-01 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2021-03-01_final
2021-03-11 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2021-03-11_final
2021-03-21 10:44:41	ga_s2bm_ard_3-2-1_53JLL_2021-03-21_final
2021-03-31 10:44:40	ga_s2bm_ard_3-2-1_53JLL_2021-03-31_final
2021-04-10 10:44:39	ga_s2bm_ard_3-2-1_53JLL_2021-04-10_final
2021-04-14 10:24:27	ga_s2bm_ard_3-2-1_54JUR_2021-04-14_final
2021-04-20 10:44:37	ga_s2bm_ard_3-2-1_53JLL_2021-04-20_final
2021-04-24 10:24:25	ga_s2bm_ard_3-2-1_54JUR_2021-04-24_final
2021-04-29 09:34:07	ga_s2bm_ard_3-2-1_56JLR_2021-04-29_final
2021-04-30 10:44:38	ga_s2bm_ard_3-2-1_53JLL_2021-04-30_final
2021-05-02 09:44:02	ga_s2bm_ard_3-2-1_56JLR_2021-05-02_final
2021-05-04 10:24:27	ga_s2bm_ard_3-2-1_54JUR_2021-05-04_final
2021-05-09 09:34:09	ga_s2bm_ard_3-2-1_56JLR_2021-05-09_final
2021-05-12 09:44:04	ga_s2bm_ard_3-2-1_56JLR_2021-05-12_final
2021-05-19 09:34:11	ga_s2bm_ard_3-2-1_56JLR_2021-05-19_final
2021-05-22 09:44:05	ga_s2bm_ard_3-2-1_56JLR_2021-05-22_final
2021-05-29 09:34:12	ga_s2bm_ard_3-2-1_56JLR_2021-05-29_final
2021-06-01 09:44:06	ga_s2bm_ard_3-2-1_56JLR_2021-06-01_final
2021-06-08 09:34:12	ga_s2bm_ard_3-2-1_56JLR_2021-06-08_final
2021-06-11 09:44:06	ga_s2bm_ard_3-2-1_56JLR_2021-06-11_final
2021-06-18 09:34:12	ga_s2bm_ard_3-2-1_56JLR_2021-06-18_final
2021-06-21 09:44:06	ga_s2bm_ard_3-2-1_56JLR_2021-06-21_final
2021-06-28 09:34:12	ga_s2bm_ard_3-2-1_56JLR_2021-06-28_final
2021-07-01 09:44:07	ga_s2bm_ard_3-2-1_56JLR_2021-07-01_final
2021-07-08 09:34:13	ga_s2bm_ard_3-2-1_56JLR_2021-07-08_final
2021-07-11 09:44:07	ga_s2bm_ard_3-2-1_56JLR_2021-07-11_final
2021-07-18 09:34:13	ga_s2bm_ard_3-2-1_56JLR_2021-07-18_final
2021-07-21 09:44:07	ga_s2bm_ard_3-2-1_56JLR_2021-07-21_final
2021-07-28 09:34:13	ga_s2bm_ard_3-2-1_56JLR_2021-07-28_final
2021-07-31 09:44:07	ga_s2bm_ard_3-2-1_56JLR_2021-07-31_final
2021-08-07 09:34:12	ga_s2bm_ard_3-2-1_56JLR_2021-08-07_final
2021-08-10 09:44:06	ga_s2bm_ard_3-2-1_56JLR_2021-08-10_final
2021-08-17 09:34:11	ga_s2bm_ard_3-2-1_56JLR_2021-08-17_final
2021-08-20 09:44:05	ga_s2bm_ard_3-2-1_56JLR_2021-08-20_final
2021-08-27 09:34:09	ga_s2bm_ard_3-2-1_56JLR_2021-08-27_final
2021-08-30 09:44:03	ga_s2bm_ard_3-2-1_56JLR_2021-08-30_final
2021-09-06 09:34:08	ga_s2bm_ard_3-2-1_56JLR_2021-09-06_final
2021-09-09 09:44:02	ga_s2bm_ard_3-2-1_56JLR_2021-09-09_final
2021-09-16 09:34:07	ga_s2bm_ard_3-2-1_56JLR_2021-09-16_final
2021-09-19 09:44:02	ga_s2bm_ard_3-2-1_56JLR_2021-09-19_final
2021-09-26 09:34:10	ga_s2bm_ard_3-2-1_56JLR_2021-09-26_final
2021-09-29 09:44:05	ga_s2bm_ard_3-2-1_56JLR_2021-09-29_final
2021-10-06 09:34:12	ga_s2bm_ard_3-2-1_56JLR_2021-10-06_final
2021-10-09 09:44:06	ga_s2bm_ard_3-2-1_56JLR_2021-10-09_final
2021-10-16 09:34:13	ga_s2bm_ard_3-2-1_56JLR_2021-10-16_final
2021-10-19 09:44:07	ga_s2bm_ard_3-2-1_56JLR_2021-10-19_final
2021-10-26 09:34:13	ga_s2bm_ard_3-2-1_56JLR_2021-10-26_final
2021-10-29 09:44:07	ga_s2bm_ard_3-2-1_56JLR_2021-10-29_final
2021-11-05 09:34:12	ga_s2bm_ard_3-2-1_56JLR_2021-11-05_final
2021-11-08 09:44:06	ga_s2bm_ard_3-2-1_56JLR_2021-11-08_final
2021-11-15 09:34:10	ga_s2bm_ard_3-2-1_56JLR_2021-11-15_final
2021-11-18 09:44:03	ga_s2bm_ard_3-2-1_56JLR_2021-11-18_final
2021-11-25 09:34:07	ga_s2bm_ard_3-2-1_56JLR_2021-11-25_final
2021-11-28 09:44:01	ga_s2bm_ard_3-2-1_56JLR_2021-11-28_final
2021-12-05 09:34:07	ga_s2bm_ard_3-2-1_56JLR_2021-12-05_final
2021-12-08 09:44:00	ga_s2bm_ard_3-2-1_56JLR_2021-12-08_final
2021-12-15 09:34:05	ga_s2bm_ard_3-2-1_56JLR_2021-12-15_final
2021-12-18 09:43:59	ga_s2bm_ard_3-2-1_56JLR_2021-12-18_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