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
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KHP_2018-03-04_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHP_2018-03-11_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHP_2018-03-14_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHP_2018-03-21_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KHP_2018-03-24_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-03-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHP_2018-04-03_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-04-10_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHP_2018-04-20_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-04-23_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-05-03_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHP_2018-05-10_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49KHP_2018-05-13_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-05-20_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHP_2018-05-23_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KHP_2018-05-30_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49KHP_2018-06-02_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHP_2018-06-12_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHP_2018-06-19_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49KHP_2018-06-22_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49KHP_2018-06-29_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-07-02_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-07-12_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KHP_2018-07-22_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHP_2018-07-29_final
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49KHP_2018-08-01_final
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-08-08_final
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49KHP_2018-08-11_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHP_2018-08-18_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KHP_2018-08-21_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KHP_2018-09-07_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KHP_2018-09-10_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHP_2018-09-17_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KHP_2018-09-20_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KHP_2018-09-27_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KHP_2018-09-30_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-10-07_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHP_2018-10-10_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49KHP_2018-10-17_final
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KHP_2018-10-20_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-10-27_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHP_2018-10-30_final
2018-11-06 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2018-11-06_final
2018-11-09 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2018-11-09_final
2018-11-16 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2018-11-16_final
2018-11-19 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2018-11-19_final
2018-11-26 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2018-11-26_final
2018-11-29 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2018-11-29_final
2018-12-06 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2018-12-06_final
2018-12-09 12:14:15	ga_s2bm_ard_3-2-1_49KHP_2018-12-09_final
2018-12-16 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2018-12-16_final
2018-12-19 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2018-12-19_final
2018-12-19 12:14:26	ga_s2bm_ard_3-2-1_49JHN_2018-12-19_final
2018-12-26 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2018-12-26_final
2018-12-29 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2018-12-29_final
2019-01-05 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2019-01-05_final
2019-01-08 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-01-08_final
2019-01-15 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-01-15_final
2019-01-18 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-01-18_final
2019-01-25 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2019-01-25_final
2019-01-28 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-01-28_final
2019-02-04 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2019-02-04_final
2019-02-07 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-02-07_final
2019-02-14 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2019-02-14_final
2019-02-17 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-02-17_final
2019-02-24 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-02-24_final
2019-02-27 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-02-27_final
2019-03-06 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2019-03-06_final
2019-03-09 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2019-03-09_final
2019-03-16 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2019-03-16_final
2019-03-19 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-03-19_final
2019-03-26 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2019-03-26_final
2019-03-29 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2019-03-29_final
2019-04-05 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2019-04-05_final
2019-04-08 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2019-04-08_final
2019-04-15 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2019-04-15_final
2019-04-18 12:14:27	ga_s2bm_ard_3-2-1_49KHP_2019-04-18_final
2019-04-25 12:04:35	ga_s2bm_ard_3-2-1_49KHP_2019-04-25_final
2019-04-28 12:14:28	ga_s2bm_ard_3-2-1_49KHP_2019-04-28_final
2019-05-05 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-05-05_final
2019-05-08 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-05-08_final
2019-05-15 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-05-15_final
2019-05-18 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-05-18_final
2019-05-18 12:14:39	ga_s2bm_ard_3-2-1_49JHN_2019-05-18_final
2019-05-25 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-05-25_final
2019-05-28 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-05-28_final
2019-06-04 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-06-04_final
2019-06-07 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-06-07_final
2019-06-07 12:14:39	ga_s2bm_ard_3-2-1_49JHN_2019-06-07_final
2019-06-14 12:04:35	ga_s2bm_ard_3-2-1_49KHP_2019-06-14_final
2019-06-17 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-06-17_final
2019-06-24 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-06-24_final
2019-06-27 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-06-27_final
2019-07-04 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-07-04_final
2019-07-07 12:14:30	ga_s2bm_ard_3-2-1_49KHP_2019-07-07_final
2019-07-14 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2019-07-14_final
2019-07-17 12:14:30	ga_s2bm_ard_3-2-1_49KHP_2019-07-17_final
2019-07-24 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-07-24_final
2019-07-27 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-07-27_final
2019-07-27 12:14:39	ga_s2bm_ard_3-2-1_49JHN_2019-07-27_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