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
2017-12-25 09:56:56	ga_s2bm_ard_3-2-1_54HVE_2017-12-25_final
2018-01-07 10:06:55	ga_s2bm_ard_3-2-1_54HVE_2018-01-07_final
2018-01-14 09:56:59	ga_s2bm_ard_3-2-1_54HVE_2018-01-14_final
2018-01-17 10:16:49	ga_s2bm_ard_3-2-1_54HVE_2018-01-17_final
2018-01-24 10:06:59	ga_s2bm_ard_3-2-1_54HVE_2018-01-24_final
2018-01-27 10:06:57	ga_s2bm_ard_3-2-1_54HVE_2018-01-27_final
2018-02-03 09:57:00	ga_s2bm_ard_3-2-1_54HVE_2018-02-03_final
2018-02-06 10:16:49	ga_s2bm_ard_3-2-1_54HVE_2018-02-06_final
2018-02-13 10:06:59	ga_s2bm_ard_3-2-1_54HVE_2018-02-13_final
2018-02-16 10:06:57	ga_s2bm_ard_3-2-1_54HVE_2018-02-16_final
2018-02-26 10:16:48	ga_s2bm_ard_3-2-1_54HVE_2018-02-26_final
2018-03-15 10:06:22	ga_s2bm_ard_3-2-1_54HVE_2018-03-15_final
2018-03-18 10:16:09	ga_s2bm_ard_3-2-1_54HVE_2018-03-18_final
2018-03-25 10:06:25	ga_s2bm_ard_3-2-1_54HVE_2018-03-25_final
2018-03-28 10:07:00	ga_s2bm_ard_3-2-1_54HVE_2018-03-28_final
2018-04-04 09:57:04	ga_s2bm_ard_3-2-1_54HVE_2018-04-04_final
2018-04-07 10:07:01	ga_s2bm_ard_3-2-1_54HVE_2018-04-07_final
2018-04-14 09:57:05	ga_s2bm_ard_3-2-1_54HVE_2018-04-14_final
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54HVE_2018-04-17_final
2018-04-24 09:57:06	ga_s2bm_ard_3-2-1_54HVE_2018-04-24_final
2018-04-27 10:07:03	ga_s2bm_ard_3-2-1_54HVE_2018-04-27_final
2018-05-04 09:57:06	ga_s2bm_ard_3-2-1_54HVE_2018-05-04_final
2018-05-17 10:14:59	ga_s2bm_ard_3-2-1_54HVE_2018-05-17_final
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_54HVE_2018-06-26_final
2018-06-26 10:17:09	ga_s2bm_ard_3-2-1_54HVE_2018-06-26_final
2018-07-06 10:16:19	ga_s2bm_ard_3-2-1_54HVE_2018-07-06_final
2018-07-16 10:10:50	ga_s2bm_ard_3-2-1_54HVE_2018-07-16_final
2018-07-26 10:13:42	ga_s2bm_ard_3-2-1_54HVE_2018-07-26_final
2018-08-05 10:13:40	ga_s2bm_ard_3-2-1_54HVE_2018-08-05_final
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54HVE_2018-08-15_final
2018-09-14 10:13:35	ga_s2bm_ard_3-2-1_54HVE_2018-09-14_final
2018-09-21 10:03:55	ga_s2bm_ard_3-2-1_54HVE_2018-09-21_final
2018-09-24 10:13:38	ga_s2bm_ard_3-2-1_54HVE_2018-09-24_final
2018-10-01 10:03:57	ga_s2bm_ard_3-2-1_54HVE_2018-10-01_final
2018-10-11 10:04:05	ga_s2bm_ard_3-2-1_54HVE_2018-10-11_final
2018-10-14 10:13:41	ga_s2bm_ard_3-2-1_54HVE_2018-10-14_final
2018-10-21 10:02:03	ga_s2bm_ard_3-2-1_54HVE_2018-10-21_final
2018-10-24 10:12:12	ga_s2bm_ard_3-2-1_54HVE_2018-10-24_final
2018-10-31 10:03:09	ga_s2bm_ard_3-2-1_54HVE_2018-10-31_final
2018-11-03 10:13:24	ga_s2bm_ard_3-2-1_54HVE_2018-11-03_final
2018-11-10 10:07:13	ga_s2bm_ard_3-2-1_54HVE_2018-11-10_final
2018-11-23 10:17:08	ga_s2bm_ard_3-2-1_54HVE_2018-11-23_final
2018-12-03 10:17:06	ga_s2bm_ard_3-2-1_54HVE_2018-12-03_final
2018-12-10 10:07:09	ga_s2bm_ard_3-2-1_54HVE_2018-12-10_final
2018-12-20 10:07:10	ga_s2bm_ard_3-2-1_54HVE_2018-12-20_final
2018-12-23 10:17:07	ga_s2bm_ard_3-2-1_54HVE_2018-12-23_final
2018-12-30 10:07:12	ga_s2bm_ard_3-2-1_54HVE_2018-12-30_final
2019-01-02 10:17:09	ga_s2bm_ard_3-2-1_54HVE_2019-01-02_final
2019-01-12 10:17:10	ga_s2bm_ard_3-2-1_54HVE_2019-01-12_final
2019-01-19 10:07:15	ga_s2bm_ard_3-2-1_54HVE_2019-01-19_final
2019-01-22 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2019-01-22_final
2019-01-29 10:07:15	ga_s2bm_ard_3-2-1_54HVE_2019-01-29_final
2019-02-01 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2019-02-01_final
2019-02-11 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2019-02-11_final
2019-02-21 10:17:10	ga_s2bm_ard_3-2-1_54HVE_2019-02-21_final
2019-03-03 10:17:09	ga_s2bm_ard_3-2-1_54HVE_2019-03-03_final
2019-03-13 10:17:08	ga_s2bm_ard_3-2-1_54HVE_2019-03-13_final
2019-03-20 10:07:14	ga_s2bm_ard_3-2-1_54HVE_2019-03-20_final
2019-03-23 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2019-03-23_final
2019-03-30 10:07:17	ga_s2bm_ard_3-2-1_54HVE_2019-03-30_final
2019-04-02 10:17:13	ga_s2bm_ard_3-2-1_54HVE_2019-04-02_final
2019-04-09 10:07:19	ga_s2bm_ard_3-2-1_54HVE_2019-04-09_final
2019-04-12 10:17:16	ga_s2bm_ard_3-2-1_54HVE_2019-04-12_final
2019-04-19 10:07:21	ga_s2bm_ard_3-2-1_54HVE_2019-04-19_final
2019-04-22 10:17:17	ga_s2bm_ard_3-2-1_54HVE_2019-04-22_final
2022-01-06 10:17:07	ga_s2bm_ard_3-2-1_54HVE_2022-01-06_final
2022-01-13 10:07:11	ga_s2bm_ard_3-2-1_54HVE_2022-01-13_final
2022-01-16 10:17:07	ga_s2bm_ard_3-2-1_54HVE_2022-01-16_final
2022-01-26 10:17:05	ga_s2bm_ard_3-2-1_54HVE_2022-01-26_final
2022-02-05 10:17:05	ga_s2bm_ard_3-2-1_54HVE_2022-02-05_final
2022-02-15 10:17:05	ga_s2bm_ard_3-2-1_54HVE_2022-02-15_final
2022-02-25 10:17:06	ga_s2bm_ard_3-2-1_54HVE_2022-02-25_final
2022-03-04 10:07:12	ga_s2bm_ard_3-2-1_54HVE_2022-03-04_final
2022-03-07 10:17:08	ga_s2bm_ard_3-2-1_54HVE_2022-03-07_final
2022-03-14 10:07:13	ga_s2bm_ard_3-2-1_54HVE_2022-03-14_final
2022-03-17 10:17:09	ga_s2bm_ard_3-2-1_54HVE_2022-03-17_final
2022-03-27 10:17:08	ga_s2bm_ard_3-2-1_54HVE_2022-03-27_final
2022-04-06 10:17:08	ga_s2bm_ard_3-2-1_54HVE_2022-04-06_final
2022-04-16 10:17:07	ga_s2bm_ard_3-2-1_54HVE_2022-04-16_final
2022-04-26 10:17:05	ga_s2bm_ard_3-2-1_54HVE_2022-04-26_final
2022-05-06 10:17:07	ga_s2bm_ard_3-2-1_54HVE_2022-05-06_final
2022-05-13 10:07:13	ga_s2bm_ard_3-2-1_54HVE_2022-05-13_final
2022-05-16 10:17:10	ga_s2bm_ard_3-2-1_54HVE_2022-05-16_final
2022-05-23 10:07:15	ga_s2bm_ard_3-2-1_54HVE_2022-05-23_final
2022-05-26 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2022-05-26_final
2022-06-05 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2022-06-05_final
2022-06-12 10:07:18	ga_s2bm_ard_3-2-1_54HVE_2022-06-12_final
2022-06-15 10:17:14	ga_s2bm_ard_3-2-1_54HVE_2022-06-15_final
2022-06-22 10:07:20	ga_s2bm_ard_3-2-1_54HVE_2022-06-22_final
2022-06-25 10:17:16	ga_s2bm_ard_3-2-1_54HVE_2022-06-25_final
2022-07-02 10:07:20	ga_s2bm_ard_3-2-1_54HVE_2022-07-02_final
2022-07-05 10:17:16	ga_s2bm_ard_3-2-1_54HVE_2022-07-05_final
2022-07-12 10:07:20	ga_s2bm_ard_3-2-1_54HVE_2022-07-12_final
2022-07-15 10:17:15	ga_s2bm_ard_3-2-1_54HVE_2022-07-15_final
2022-07-22 10:07:20	ga_s2bm_ard_3-2-1_54HVE_2022-07-22_final
2022-07-25 10:17:16	ga_s2bm_ard_3-2-1_54HVE_2022-07-25_final
2022-08-01 10:07:20	ga_s2bm_ard_3-2-1_54HVE_2022-08-01_final
2022-08-04 10:17:15	ga_s2bm_ard_3-2-1_54HVE_2022-08-04_final
2022-08-14 10:17:14	ga_s2bm_ard_3-2-1_54HVE_2022-08-14_final
2022-08-24 10:17:11	ga_s2bm_ard_3-2-1_54HVE_2022-08-24_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