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
2017-07-02 09:44:54	ga_s2bm_ard_3-2-1_55HDS_2017-07-02_final
2017-07-09 09:32:50	ga_s2bm_ard_3-2-1_55HDS_2017-07-09_final
2017-07-22 09:46:33	ga_s2bm_ard_3-2-1_55HDS_2017-07-22_final
2017-07-29 09:35:43	ga_s2bm_ard_3-2-1_55HDS_2017-07-29_final
2017-08-11 09:46:24	ga_s2bm_ard_3-2-1_55HDS_2017-08-11_final
2017-08-18 09:34:03	ga_s2bm_ard_3-2-1_55HDS_2017-08-18_final
2017-08-31 09:43:47	ga_s2bm_ard_3-2-1_55HDS_2017-08-31_final
2017-09-07 09:33:13	ga_s2bm_ard_3-2-1_55HDS_2017-09-07_final
2017-09-20 09:43:52	ga_s2bm_ard_3-2-1_55HDS_2017-09-20_final
2017-09-27 09:32:25	ga_s2bm_ard_3-2-1_55HDS_2017-09-27_final
2017-10-10 09:45:45	ga_s2bm_ard_3-2-1_55HDS_2017-10-10_final
2017-10-17 09:32:26	ga_s2bm_ard_3-2-1_55HDS_2017-10-17_final
2017-10-27 09:32:47	ga_s2bm_ard_3-2-1_55HDS_2017-10-27_final
2017-10-30 09:45:46	ga_s2bm_ard_3-2-1_55HDS_2017-10-30_final
2017-11-06 09:32:26	ga_s2bm_ard_3-2-1_55HDS_2017-11-06_final
2017-11-09 09:42:14	ga_s2bm_ard_3-2-1_55HDS_2017-11-09_final
2017-11-16 09:32:48	ga_s2bm_ard_3-2-1_55HDS_2017-11-16_final
2017-11-19 09:45:47	ga_s2bm_ard_3-2-1_55HDS_2017-11-19_final
2017-12-06 09:32:49	ga_s2bm_ard_3-2-1_55HDS_2017-12-06_final
2017-12-09 09:43:42	ga_s2bm_ard_3-2-1_55HDS_2017-12-09_final
2017-12-16 09:32:28	ga_s2bm_ard_3-2-1_55HDS_2017-12-16_final
2017-12-19 09:42:15	ga_s2bm_ard_3-2-1_55HDS_2017-12-19_final
2017-12-26 09:32:49	ga_s2bm_ard_3-2-1_55HDS_2017-12-26_final
2017-12-29 09:43:43	ga_s2bm_ard_3-2-1_55HDS_2017-12-29_final
2018-01-05 09:32:32	ga_s2bm_ard_3-2-1_55HDS_2018-01-05_final
2018-01-08 09:42:19	ga_s2bm_ard_3-2-1_55HDS_2018-01-08_final
2018-01-15 09:32:53	ga_s2bm_ard_3-2-1_55HDS_2018-01-15_final
2018-01-18 09:43:46	ga_s2bm_ard_3-2-1_55HDS_2018-01-18_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HDS_2018-01-25_final
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55HDS_2018-01-28_final
2018-02-04 09:32:54	ga_s2bm_ard_3-2-1_55HDS_2018-02-04_final
2018-02-07 09:43:47	ga_s2bm_ard_3-2-1_55HDS_2018-02-07_final
2018-02-14 09:32:33	ga_s2bm_ard_3-2-1_55HDS_2018-02-14_final
2018-02-17 09:42:20	ga_s2bm_ard_3-2-1_55HDS_2018-02-17_final
2018-02-24 09:32:54	ga_s2bm_ard_3-2-1_55HDS_2018-02-24_final
2018-02-27 09:42:30	ga_s2bm_ard_3-2-1_55HDS_2018-02-27_final
2018-03-06 09:35:23	ga_s2bm_ard_3-2-1_55HDS_2018-03-06_final
2018-03-09 09:40:59	ga_s2bm_ard_3-2-1_55HDS_2018-03-09_final
2018-03-16 09:32:32	ga_s2bm_ard_3-2-1_55HDS_2018-03-16_final
2018-03-19 09:41:02	ga_s2bm_ard_3-2-1_55HDS_2018-03-19_final
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_55HDS_2018-03-26_final
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55HDS_2018-03-29_final
2018-04-05 09:32:37	ga_s2bm_ard_3-2-1_55HDS_2018-04-05_final
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55HDS_2018-04-08_final
2018-04-15 09:32:38	ga_s2bm_ard_3-2-1_55HDS_2018-04-15_final
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_55HDS_2018-04-18_final
2018-04-25 09:32:38	ga_s2bm_ard_3-2-1_55HDS_2018-04-25_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HDS_2018-04-28_final
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_55HDS_2018-05-05_final
2018-05-08 09:41:07	ga_s2bm_ard_3-2-1_55HDS_2018-05-08_final
2018-05-15 09:35:53	ga_s2bm_ard_3-2-1_55HDS_2018-05-15_final
2018-05-18 09:41:07	ga_s2bm_ard_3-2-1_55HDS_2018-05-18_final
2018-05-25 09:32:37	ga_s2bm_ard_3-2-1_55HDS_2018-05-25_final
2018-05-28 09:41:05	ga_s2bm_ard_3-2-1_55HDS_2018-05-28_final
2018-05-28 09:47:45	ga_s2bm_ard_3-2-1_55HDS_2018-05-28_final
2018-06-04 09:32:37	ga_s2bm_ard_3-2-1_55HDS_2018-06-04_final
2018-06-07 09:41:06	ga_s2bm_ard_3-2-1_55HDS_2018-06-07_final
2018-06-14 09:32:38	ga_s2bm_ard_3-2-1_55HDS_2018-06-14_final
2018-06-17 09:41:07	ga_s2bm_ard_3-2-1_55HDS_2018-06-17_final
2019-02-19 09:37:51	ga_s2bm_ard_3-2-1_55HDS_2019-02-19_final
2019-02-22 09:47:46	ga_s2bm_ard_3-2-1_55HDS_2019-02-22_final
2019-03-01 09:37:50	ga_s2bm_ard_3-2-1_55HDS_2019-03-01_final
2019-03-04 09:47:45	ga_s2bm_ard_3-2-1_55HDS_2019-03-04_final
2019-03-11 09:37:49	ga_s2bm_ard_3-2-1_55HDS_2019-03-11_final
2019-03-14 09:47:44	ga_s2bm_ard_3-2-1_55HDS_2019-03-14_final
2019-03-21 09:37:51	ga_s2bm_ard_3-2-1_55HDS_2019-03-21_final
2019-03-24 09:47:47	ga_s2bm_ard_3-2-1_55HDS_2019-03-24_final
2019-03-31 09:37:53	ga_s2bm_ard_3-2-1_55HDS_2019-03-31_final
2019-04-03 09:47:50	ga_s2bm_ard_3-2-1_55HDS_2019-04-03_final
2019-04-10 09:37:59	ga_s2bm_ard_3-2-1_55HDS_2019-04-10_final
2019-04-13 09:47:52	ga_s2bm_ard_3-2-1_55HDS_2019-04-13_final
2019-04-20 09:37:55	ga_s2bm_ard_3-2-1_55HDS_2019-04-20_final
2019-04-20 09:38:01	ga_s2bm_ard_3-2-1_55HDS_2019-04-20_final
2019-04-23 09:47:54	ga_s2bm_ard_3-2-1_55HDS_2019-04-23_final
2019-04-30 09:37:56	ga_s2bm_ard_3-2-1_55HDS_2019-04-30_final
2019-04-30 09:38:02	ga_s2bm_ard_3-2-1_55HDS_2019-04-30_final
2019-05-03 09:47:55	ga_s2bm_ard_3-2-1_55HDS_2019-05-03_final
2019-05-10 09:38:00	ga_s2bm_ard_3-2-1_55HDS_2019-05-10_final
2019-05-13 09:47:56	ga_s2bm_ard_3-2-1_55HDS_2019-05-13_final
2019-05-20 09:37:58	ga_s2bm_ard_3-2-1_55HDS_2019-05-20_final
2019-05-20 09:38:03	ga_s2bm_ard_3-2-1_55HDS_2019-05-20_final
2019-05-23 09:47:56	ga_s2bm_ard_3-2-1_55HDS_2019-05-23_final
2019-05-30 09:38:00	ga_s2bm_ard_3-2-1_55HDS_2019-05-30_final
2019-06-02 09:47:55	ga_s2bm_ard_3-2-1_55HDS_2019-06-02_final
2019-06-09 09:37:57	ga_s2bm_ard_3-2-1_55HDS_2019-06-09_final
2019-06-09 09:38:02	ga_s2bm_ard_3-2-1_55HDS_2019-06-09_final
2019-06-12 09:47:55	ga_s2bm_ard_3-2-1_55HDS_2019-06-12_final
2019-06-19 09:37:57	ga_s2bm_ard_3-2-1_55HDS_2019-06-19_final
2019-06-19 09:38:02	ga_s2bm_ard_3-2-1_55HDS_2019-06-19_final
2019-06-22 09:47:55	ga_s2bm_ard_3-2-1_55HDS_2019-06-22_final
2019-06-29 09:38:03	ga_s2bm_ard_3-2-1_55HDS_2019-06-29_final
2019-07-09 09:37:58	ga_s2bm_ard_3-2-1_55HDS_2019-07-09_final
2019-07-09 09:38:03	ga_s2bm_ard_3-2-1_55HDS_2019-07-09_final
2019-07-12 09:47:56	ga_s2bm_ard_3-2-1_55HDS_2019-07-12_final
2019-07-19 09:37:58	ga_s2bm_ard_3-2-1_55HDS_2019-07-19_final
2019-07-19 09:38:03	ga_s2bm_ard_3-2-1_55HDS_2019-07-19_final
2019-07-22 09:47:56	ga_s2bm_ard_3-2-1_55HDS_2019-07-22_final
2019-07-29 09:37:57	ga_s2bm_ard_3-2-1_55HDS_2019-07-29_final
2019-07-29 09:38:03	ga_s2bm_ard_3-2-1_55HDS_2019-07-29_final
2019-08-01 09:47:55	ga_s2bm_ard_3-2-1_55HDS_2019-08-01_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