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
2017-07-06 09:22:45	ga_s2bm_ard_3-2-1_56JLL_2017-07-05_final
2017-07-09 09:32:50	ga_s2bm_ard_3-2-1_56JLL_2017-07-09_final
2017-07-16 09:22:45	ga_s2bm_ard_3-2-1_56JLL_2017-07-15_final
2017-07-26 09:22:44	ga_s2bm_ard_3-2-1_56JLL_2017-07-25_final
2017-07-29 09:32:17	ga_s2bm_ard_3-2-1_56JLL_2017-07-29_final
2017-08-05 09:22:57	ga_s2bm_ard_3-2-1_56JLL_2017-08-04_final
2017-08-15 09:22:42	ga_s2bm_ard_3-2-1_56JLL_2017-08-14_final
2017-08-18 09:34:03	ga_s2bm_ard_3-2-1_56JLL_2017-08-18_final
2017-08-25 09:22:40	ga_s2bm_ard_3-2-1_56JLL_2017-08-24_final
2017-09-07 09:33:13	ga_s2bm_ard_3-2-1_56JLL_2017-09-07_final
2017-09-24 09:22:31	ga_s2bm_ard_3-2-1_56JLL_2017-09-23_final
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_56JLL_2017-09-27_final
2017-10-04 09:23:56	ga_s2bm_ard_3-2-1_56JLL_2017-10-03_final
2017-10-14 09:22:30	ga_s2bm_ard_3-2-1_56JLL_2017-10-13_final
2017-10-17 09:32:26	ga_s2bm_ard_3-2-1_56JLL_2017-10-17_final
2017-10-24 09:23:58	ga_s2bm_ard_3-2-1_56JLL_2017-10-23_final
2017-10-27 09:32:47	ga_s2bm_ard_3-2-1_56JLL_2017-10-27_final
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_56JLL_2017-11-06_final
2017-11-13 09:23:11	ga_s2bm_ard_3-2-1_56JLL_2017-11-12_final
2017-11-16 09:32:48	ga_s2bm_ard_3-2-1_56JLL_2017-11-16_final
2017-11-23 09:22:32	ga_s2bm_ard_3-2-1_56JLL_2017-11-22_final
2017-12-06 09:32:49	ga_s2bm_ard_3-2-1_56JLL_2017-12-06_final
2017-12-13 09:23:45	ga_s2bm_ard_3-2-1_56JLL_2017-12-12_final
2017-12-16 09:32:28	ga_s2bm_ard_3-2-1_56JLL_2017-12-16_final
2017-12-23 09:23:12	ga_s2bm_ard_3-2-1_56JLL_2017-12-22_final
2017-12-26 09:32:49	ga_s2bm_ard_3-2-1_56JLL_2017-12-26_final
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_56JLL_2018-01-01_final
2018-01-05 09:32:32	ga_s2bm_ard_3-2-1_56JLL_2018-01-05_final
2018-01-12 09:23:16	ga_s2bm_ard_3-2-1_56JLL_2018-01-11_final
2018-01-15 09:32:53	ga_s2bm_ard_3-2-1_56JLL_2018-01-15_final
2018-01-22 09:23:49	ga_s2bm_ard_3-2-1_56JLL_2018-01-21_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56JLL_2018-01-25_final
2018-02-01 09:23:18	ga_s2bm_ard_3-2-1_56JLL_2018-01-31_final
2018-02-04 09:32:54	ga_s2bm_ard_3-2-1_56JLL_2018-02-04_final
2018-02-11 09:23:49	ga_s2bm_ard_3-2-1_56JLL_2018-02-10_final
2018-02-14 09:32:33	ga_s2bm_ard_3-2-1_56JLL_2018-02-14_final
2018-02-21 09:23:17	ga_s2bm_ard_3-2-1_56JLL_2018-02-20_final
2018-02-24 09:32:54	ga_s2bm_ard_3-2-1_56JLL_2018-02-24_final
2018-03-03 09:22:35	ga_s2bm_ard_3-2-1_56JLL_2018-03-02_final
2018-03-06 09:32:30	ga_s2bm_ard_3-2-1_56JLL_2018-03-06_final
2018-03-13 09:22:36	ga_s2bm_ard_3-2-1_56JLL_2018-03-12_final
2018-03-16 09:32:32	ga_s2bm_ard_3-2-1_56JLL_2018-03-16_final
2018-03-23 09:22:39	ga_s2bm_ard_3-2-1_56JLL_2018-03-22_final
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_56JLL_2018-03-26_final
2018-04-02 09:22:41	ga_s2bm_ard_3-2-1_56JLL_2018-04-01_final
2018-04-05 09:32:37	ga_s2bm_ard_3-2-1_56JLL_2018-04-05_final
2018-04-12 09:22:42	ga_s2bm_ard_3-2-1_56JLL_2018-04-11_final
2018-04-15 09:32:38	ga_s2bm_ard_3-2-1_56JLL_2018-04-15_final
2018-04-22 09:22:43	ga_s2bm_ard_3-2-1_56JLL_2018-04-21_final
2018-04-25 09:32:38	ga_s2bm_ard_3-2-1_56JLL_2018-04-25_final
2018-05-02 09:22:43	ga_s2bm_ard_3-2-1_56JLL_2018-05-01_final
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_56JLL_2018-05-05_final
2018-05-12 09:22:43	ga_s2bm_ard_3-2-1_56JLL_2018-05-11_final
2018-05-15 09:32:38	ga_s2bm_ard_3-2-1_56JLL_2018-05-15_final
2018-05-22 09:22:42	ga_s2bm_ard_3-2-1_56JLL_2018-05-21_final
2018-05-25 09:32:37	ga_s2bm_ard_3-2-1_56JLL_2018-05-25_final
2018-06-01 09:22:41	ga_s2bm_ard_3-2-1_56JLL_2018-05-31_final
2018-06-04 09:32:37	ga_s2bm_ard_3-2-1_56JLL_2018-06-04_final
2018-06-11 09:22:42	ga_s2bm_ard_3-2-1_56JLL_2018-06-10_final
2018-06-14 09:32:38	ga_s2bm_ard_3-2-1_56JLL_2018-06-14_final
2018-06-21 09:22:43	ga_s2bm_ard_3-2-1_56JLL_2018-06-20_final
2018-06-24 09:32:39	ga_s2bm_ard_3-2-1_56JLL_2018-06-24_final
2018-07-01 09:22:43	ga_s2bm_ard_3-2-1_56JLL_2018-06-30_final
2018-07-04 09:33:51	ga_s2bm_ard_3-2-1_56JLL_2018-07-04_final
2018-07-11 09:22:43	ga_s2bm_ard_3-2-1_56JLL_2018-07-10_final
2018-07-14 09:32:38	ga_s2bm_ard_3-2-1_56JLL_2018-07-14_final
2018-07-21 09:22:46	ga_s2bm_ard_3-2-1_56JLL_2018-07-20_final
2018-07-24 09:32:37	ga_s2bm_ard_3-2-1_56JLL_2018-07-24_final
2018-07-31 09:22:41	ga_s2bm_ard_3-2-1_56JLL_2018-07-30_final
2018-07-31 09:22:41	ga_s2bm_ard_3-2-1_56HLK_2018-07-30_final
2018-07-31 09:25:23	ga_s2bm_ard_3-2-1_56JLL_2018-07-30_final
2018-08-03 09:32:43	ga_s2bm_ard_3-2-1_56JLL_2018-08-03_final
2018-08-10 09:23:23	ga_s2bm_ard_3-2-1_56JLL_2018-08-09_final
2018-08-13 09:32:34	ga_s2bm_ard_3-2-1_56JLL_2018-08-13_final
2018-08-20 09:22:37	ga_s2bm_ard_3-2-1_56JLL_2018-08-19_final
2018-08-23 09:32:32	ga_s2bm_ard_3-2-1_56JLL_2018-08-23_final
2018-08-30 09:22:35	ga_s2bm_ard_3-2-1_56JLL_2018-08-29_final
2018-09-02 09:32:31	ga_s2bm_ard_3-2-1_56JLL_2018-09-02_final
2018-09-09 09:24:12	ga_s2bm_ard_3-2-1_56JLL_2018-09-08_final
2018-09-12 09:32:31	ga_s2bm_ard_3-2-1_56JLL_2018-09-12_final
2018-09-19 09:22:37	ga_s2bm_ard_3-2-1_56JLL_2018-09-18_final
2018-09-22 09:32:33	ga_s2bm_ard_3-2-1_56JLL_2018-09-22_final
2018-09-29 09:22:39	ga_s2bm_ard_3-2-1_56JLL_2018-09-28_final
2018-10-02 09:34:02	ga_s2bm_ard_3-2-1_56JLL_2018-10-02_final
2018-10-09 09:22:40	ga_s2bm_ard_3-2-1_56JLL_2018-10-08_final
2018-10-12 09:32:36	ga_s2bm_ard_3-2-1_56JLL_2018-10-12_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56JLL_2018-10-18_final
2018-10-22 09:32:37	ga_s2bm_ard_3-2-1_56JLL_2018-10-22_final
2018-10-29 09:22:42	ga_s2bm_ard_3-2-1_56JLL_2018-10-28_final
2018-11-01 09:32:37	ga_s2bm_ard_3-2-1_56JLL_2018-11-01_final
2018-11-08 09:25:27	ga_s2bm_ard_3-2-1_56JLL_2018-11-07_final
2018-11-11 09:35:22	ga_s2bm_ard_3-2-1_56JLL_2018-11-11_final
2020-05-01 09:25:26	ga_s2bm_ard_3-2-1_56JLL_2020-04-30_final
2020-05-14 09:35:23	ga_s2bm_ard_3-2-1_56JLL_2020-05-14_final
2020-05-21 09:25:30	ga_s2bm_ard_3-2-1_56JLL_2020-05-20_final
2020-07-20 09:25:31	ga_s2bm_ard_3-2-1_56JLL_2020-07-19_final
2020-10-11 09:35:28	ga_s2bm_ard_3-2-1_56JLL_2020-10-11_final
2020-11-07 09:25:32	ga_s2bm_ard_3-2-1_56JLL_2020-11-06_final
2020-11-20 09:35:25	ga_s2bm_ard_3-2-1_56JLL_2020-11-20_final
2020-11-27 09:25:30	ga_s2bm_ard_3-2-1_56JLL_2020-11-26_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