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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51JVL_2017-07-05_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51JVL_2017-07-12_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51JVL_2017-07-25_final
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_51JVL_2017-07-25_final
2017-08-14 11:28:34	ga_s2bm_ard_3-2-1_51JVL_2017-08-14_final
2017-08-21 11:18:37	ga_s2bm_ard_3-2-1_51JVL_2017-08-21_final
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51JVL_2017-08-21_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51JVL_2017-09-03_final
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51JVL_2017-09-10_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51JVL_2017-09-23_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JVL_2017-09-30_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVL_2017-10-13_final
2017-10-20 11:21:45	ga_s2bm_ard_3-2-1_51JVL_2017-10-20_final
2017-10-30 11:20:19	ga_s2bm_ard_3-2-1_51JVL_2017-10-30_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51JVL_2017-11-02_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51JVL_2017-11-09_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JVL_2017-11-12_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JVL_2017-11-19_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51JVL_2017-11-22_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JVL_2017-11-29_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_51JVL_2017-12-02_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51JVL_2017-12-09_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JVL_2017-12-12_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JVL_2017-12-19_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JVL_2017-12-29_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51JVL_2018-01-01_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51JVL_2018-01-08_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51JVL_2018-01-11_final
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51JVL_2018-01-18_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51JVL_2018-01-21_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51JVL_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVL_2018-01-31_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JVL_2018-02-07_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51JVL_2018-02-10_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JVL_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JVL_2018-02-20_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51JVL_2018-02-27_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JVL_2018-03-02_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51JVL_2018-03-09_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51JVL_2018-03-12_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51JVL_2018-03-19_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51JVL_2018-03-22_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51JVL_2018-03-29_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JVL_2018-04-01_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51JVL_2018-04-08_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JVL_2018-04-11_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51JVL_2018-04-18_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JVL_2018-04-21_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JVL_2018-04-28_final
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_51JVL_2018-05-08_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JVL_2018-05-11_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JVL_2018-05-18_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51JVL_2018-05-21_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51JVL_2018-05-28_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51JVL_2018-05-31_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JVL_2018-06-07_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51JVL_2018-06-10_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51JVL_2018-06-17_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51JVL_2018-06-20_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51JVL_2018-06-20_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51JVL_2018-06-27_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51JVL_2018-06-30_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51JVL_2018-07-07_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51JVL_2018-07-10_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51JVL_2018-07-17_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51JVL_2018-07-20_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JVL_2018-07-27_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51JVL_2018-07-30_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51JVL_2018-08-06_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51JVL_2018-08-09_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51JVL_2018-08-16_final
2019-12-22 11:34:53	ga_s2bm_ard_3-2-1_51JVL_2019-12-22_final
2020-01-21 11:34:51	ga_s2bm_ard_3-2-1_51JVL_2020-01-21_final
2020-01-31 11:34:50	ga_s2bm_ard_3-2-1_51JVL_2020-01-31_final
2020-02-07 11:24:58	ga_s2bm_ard_3-2-1_51JVL_2020-02-07_final
2020-02-10 11:34:52	ga_s2bm_ard_3-2-1_51JVL_2020-02-10_final
2020-02-17 11:24:59	ga_s2bm_ard_3-2-1_51JVL_2020-02-17_final
2020-02-27 11:25:01	ga_s2bm_ard_3-2-1_51JVL_2020-02-27_final
2020-03-01 11:34:55	ga_s2bm_ard_3-2-1_51JVL_2020-03-01_final
2020-03-11 11:34:56	ga_s2bm_ard_3-2-1_51JVL_2020-03-11_final
2020-03-31 11:34:55	ga_s2bm_ard_3-2-1_51JVL_2020-03-31_final
2020-04-10 11:34:54	ga_s2bm_ard_3-2-1_51JVL_2020-04-10_final
2020-04-27 11:24:59	ga_s2bm_ard_3-2-1_51JVL_2020-04-27_final
2020-05-10 11:34:56	ga_s2bm_ard_3-2-1_51JVL_2020-05-10_final
2020-06-09 11:34:53	ga_s2bm_ard_3-2-1_51JVL_2020-06-09_final
2020-06-09 11:35:00	ga_s2bm_ard_3-2-1_51JVL_2020-06-09_final
2020-06-16 11:25:06	ga_s2bm_ard_3-2-1_51JVL_2020-06-16_final
2020-06-19 11:35:00	ga_s2bm_ard_3-2-1_51JVL_2020-06-19_final
2020-06-26 11:25:06	ga_s2bm_ard_3-2-1_51JVL_2020-06-26_final
2020-07-06 11:25:06	ga_s2bm_ard_3-2-1_51JVL_2020-07-06_final
2020-07-09 11:35:00	ga_s2bm_ard_3-2-1_51JVL_2020-07-09_final
2020-07-16 11:25:05	ga_s2bm_ard_3-2-1_51JVL_2020-07-16_final
2020-07-19 11:34:59	ga_s2bm_ard_3-2-1_51JVL_2020-07-19_final
2020-07-26 11:25:06	ga_s2bm_ard_3-2-1_51JVL_2020-07-26_final
2020-07-29 11:35:00	ga_s2bm_ard_3-2-1_51JVL_2020-07-29_final
2020-08-05 11:25:07	ga_s2bm_ard_3-2-1_51JVL_2020-08-05_final
2020-08-08 11:35:01	ga_s2bm_ard_3-2-1_51JVL_2020-08-08_final
2020-08-15 11:25:07	ga_s2bm_ard_3-2-1_51JVL_2020-08-15_final
2020-08-18 11:35:01	ga_s2bm_ard_3-2-1_51JVL_2020-08-18_final
2020-08-25 11:25:07	ga_s2bm_ard_3-2-1_51JVL_2020-08-25_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