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
2017-09-08 10:43:00	ga_s2bm_ard_3-2-1_53JNN_2017-09-08_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53JNN_2017-09-18_final
2017-09-28 10:42:52	ga_s2bm_ard_3-2-1_53JNN_2017-09-28_final
2017-10-08 10:42:51	ga_s2bm_ard_3-2-1_53JNN_2017-10-08_final
2017-10-28 10:42:53	ga_s2bm_ard_3-2-1_53JNN_2017-10-28_final
2017-11-07 10:37:13	ga_s2bm_ard_3-2-1_53JNN_2017-11-07_final
2017-11-17 10:42:53	ga_s2bm_ard_3-2-1_53JNN_2017-11-17_final
2017-12-07 10:42:54	ga_s2bm_ard_3-2-1_53JNN_2017-12-07_final
2017-12-27 10:42:55	ga_s2bm_ard_3-2-1_53JNN_2017-12-27_final
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_53JNN_2018-01-06_final
2018-02-05 10:42:59	ga_s2bm_ard_3-2-1_53JNN_2018-02-05_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_53JNN_2018-02-15_final
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53JNN_2018-03-07_final
2018-05-16 10:37:25	ga_s2bm_ard_3-2-1_53JNN_2018-05-16_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53JNN_2018-05-26_final
2018-06-05 10:37:24	ga_s2bm_ard_3-2-1_53JNN_2018-06-05_final
2018-06-15 10:37:25	ga_s2bm_ard_3-2-1_53JNN_2018-06-15_final
2018-06-25 10:42:47	ga_s2bm_ard_3-2-1_53JNN_2018-06-25_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53JNN_2018-07-05_final
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53JNN_2018-07-15_final
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53JNN_2018-07-25_final
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_53JNN_2018-08-04_final
2018-08-14 10:41:41	ga_s2bm_ard_3-2-1_53JNN_2018-08-14_final
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53JNN_2018-08-24_final
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JNN_2018-09-03_final
2018-09-13 10:41:38	ga_s2bm_ard_3-2-1_53JNN_2018-09-13_final
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53JNN_2018-09-23_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53JNN_2018-10-03_final
2018-10-13 10:41:44	ga_s2bm_ard_3-2-1_53JNN_2018-10-13_final
2018-10-23 10:41:55	ga_s2bm_ard_3-2-1_53JNN_2018-10-23_final
2018-11-02 10:43:08	ga_s2bm_ard_3-2-1_53JNN_2018-11-02_final
2018-11-12 10:44:02	ga_s2bm_ard_3-2-1_53JNN_2018-11-12_final
2018-11-12 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2018-11-12_final
2018-11-22 10:44:03	ga_s2bm_ard_3-2-1_53JNN_2018-11-22_final
2018-12-02 10:44:02	ga_s2bm_ard_3-2-1_53JNN_2018-12-02_final
2018-12-12 10:44:00	ga_s2bm_ard_3-2-1_53JNN_2018-12-12_final
2019-01-01 10:44:04	ga_s2bm_ard_3-2-1_53JNN_2019-01-01_final
2019-01-11 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2019-01-11_final
2019-01-21 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2019-01-21_final
2019-01-31 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2019-01-31_final
2019-01-31 10:44:11	ga_s2bm_ard_3-2-1_53JNN_2019-01-31_final
2019-02-10 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2019-02-10_final
2019-02-20 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2019-02-20_final
2019-03-02 10:44:04	ga_s2bm_ard_3-2-1_53JNN_2019-03-02_final
2019-03-12 10:44:04	ga_s2bm_ard_3-2-1_53JNN_2019-03-12_final
2019-03-22 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2019-03-22_final
2019-04-01 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2019-04-01_final
2019-04-11 10:44:11	ga_s2bm_ard_3-2-1_53JNN_2019-04-11_final
2019-04-21 10:44:13	ga_s2bm_ard_3-2-1_53JNN_2019-04-21_final
2019-12-30 10:50:48	ga_s2bm_ard_3-2-1_53LNF_2019-12-30_final
2020-01-09 10:50:48	ga_s2bm_ard_3-2-1_53LNF_2020-01-09_final
2020-01-19 10:50:47	ga_s2bm_ard_3-2-1_53LNF_2020-01-19_final
2020-01-29 10:50:45	ga_s2bm_ard_3-2-1_53LNF_2020-01-29_final
2020-02-08 10:50:47	ga_s2bm_ard_3-2-1_53LNF_2020-02-08_final
2020-02-18 10:50:49	ga_s2bm_ard_3-2-1_53LNF_2020-02-18_final
2020-02-28 10:50:50	ga_s2bm_ard_3-2-1_53LNF_2020-02-28_final
2020-03-09 10:50:51	ga_s2bm_ard_3-2-1_53LNF_2020-03-09_final
2020-03-19 10:50:51	ga_s2bm_ard_3-2-1_53LNF_2020-03-19_final
2020-03-29 10:50:50	ga_s2bm_ard_3-2-1_53LNF_2020-03-29_final
2020-04-08 10:50:50	ga_s2bm_ard_3-2-1_53LNF_2020-04-08_final
2020-04-18 10:50:48	ga_s2bm_ard_3-2-1_53LNF_2020-04-18_final
2020-04-28 10:50:48	ga_s2bm_ard_3-2-1_53LNF_2020-04-28_final
2020-05-08 10:50:51	ga_s2bm_ard_3-2-1_53LNF_2020-05-08_final
2020-05-18 10:50:53	ga_s2bm_ard_3-2-1_53LNF_2020-05-18_final
2020-05-28 10:50:54	ga_s2bm_ard_3-2-1_53LNF_2020-05-28_final
2020-06-07 10:50:55	ga_s2bm_ard_3-2-1_53LNF_2020-06-07_final
2020-06-17 10:50:55	ga_s2bm_ard_3-2-1_53LNF_2020-06-17_final
2020-06-27 10:50:55	ga_s2bm_ard_3-2-1_53LNF_2020-06-27_final
2020-07-07 10:50:55	ga_s2bm_ard_3-2-1_53LNF_2020-07-07_final
2020-07-17 10:50:54	ga_s2bm_ard_3-2-1_53LNF_2020-07-17_final
2020-07-27 10:50:55	ga_s2bm_ard_3-2-1_53LNF_2020-07-27_final
2020-08-06 10:50:56	ga_s2bm_ard_3-2-1_53LNF_2020-08-06_final
2020-08-16 10:50:56	ga_s2bm_ard_3-2-1_53LNF_2020-08-16_final
2020-08-26 10:50:56	ga_s2bm_ard_3-2-1_53LNF_2020-08-26_final
2020-09-05 10:50:56	ga_s2bm_ard_3-2-1_53LNF_2020-09-05_final
2020-09-15 10:50:55	ga_s2bm_ard_3-2-1_53LNF_2020-09-15_final
2020-09-25 10:50:55	ga_s2bm_ard_3-2-1_53LNF_2020-09-25_final
2020-10-05 10:50:56	ga_s2bm_ard_3-2-1_53LNF_2020-10-05_final
2020-10-15 10:50:57	ga_s2bm_ard_3-2-1_53LNF_2020-10-15_final
2020-10-25 10:50:56	ga_s2bm_ard_3-2-1_53LNF_2020-10-25_final
2020-11-04 10:50:55	ga_s2bm_ard_3-2-1_53LNF_2020-11-04_final
2020-11-14 10:50:54	ga_s2bm_ard_3-2-1_53LNF_2020-11-14_final
2020-11-24 10:50:53	ga_s2bm_ard_3-2-1_53LNF_2020-11-24_final
2020-12-04 10:50:52	ga_s2bm_ard_3-2-1_53LNF_2020-12-04_final
2020-12-14 10:50:49	ga_s2bm_ard_3-2-1_53LNF_2020-12-14_final
2020-12-24 10:50:50	ga_s2bm_ard_3-2-1_53LNF_2020-12-24_final
2021-01-03 10:50:51	ga_s2bm_ard_3-2-1_53LNF_2021-01-03_final
2021-01-13 10:50:52	ga_s2bm_ard_3-2-1_53LNF_2021-01-13_final
2021-01-23 10:50:53	ga_s2bm_ard_3-2-1_53LNF_2021-01-23_final
2021-02-02 10:50:52	ga_s2bm_ard_3-2-1_53LNF_2021-02-02_final
2021-02-12 10:50:51	ga_s2bm_ard_3-2-1_53LNF_2021-02-12_final
2021-02-22 10:50:51	ga_s2bm_ard_3-2-1_53LNF_2021-02-22_final
2021-03-04 10:50:52	ga_s2bm_ard_3-2-1_53LNF_2021-03-04_final
2021-03-14 10:50:52	ga_s2bm_ard_3-2-1_53LNF_2021-03-14_final
2021-03-24 10:50:52	ga_s2bm_ard_3-2-1_53LNF_2021-03-24_final
2021-04-03 10:50:51	ga_s2bm_ard_3-2-1_53LNF_2021-04-03_final
2021-04-13 10:50:49	ga_s2bm_ard_3-2-1_53LNF_2021-04-13_final
2021-04-23 10:50:47	ga_s2bm_ard_3-2-1_53LNF_2021-04-23_final
2023-01-30 10:44:11	ga_s2bm_ard_3-2-1_53JNM_2023-01-30_final.stac-item
2023-10-27 10:42:34	ga_s2bm_ard_3-2-1_53KNV_2023-10-27_final.stac-item

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