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
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53JNF_2017-07-07_final
2017-07-27 10:32:10	ga_s2bm_ard_3-2-1_53JNF_2017-07-27_final
2017-08-16 10:32:08	ga_s2bm_ard_3-2-1_53JNF_2017-08-16_final
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JNF_2017-09-05_final
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_53JNF_2017-09-25_final
2017-10-15 10:31:57	ga_s2bm_ard_3-2-1_53JNF_2017-10-15_final
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JNF_2017-11-04_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53JNF_2017-11-14_final
2017-11-24 10:32:21	ga_s2bm_ard_3-2-1_53JNF_2017-11-24_final
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53JNF_2017-12-14_final
2017-12-24 10:26:56	ga_s2bm_ard_3-2-1_53JNF_2017-12-24_final
2018-01-03 10:32:23	ga_s2bm_ard_3-2-1_53JNF_2018-01-03_final
2018-01-13 10:27:00	ga_s2bm_ard_3-2-1_53JNF_2018-01-13_final
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_53JNF_2018-01-23_final
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JNF_2018-02-02_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JWF_2018-02-07_final
2018-02-12 10:31:32	ga_s2bm_ard_3-2-1_53JNF_2018-02-12_final
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53JNF_2018-02-22_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51JWF_2018-02-27_final
2018-03-04 10:35:27	ga_s2bm_ard_3-2-1_53JNF_2018-03-04_final
2018-03-14 10:35:39	ga_s2bm_ard_3-2-1_53JNF_2018-03-14_final
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_51JWF_2018-03-16_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51JWF_2018-03-19_final
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_53HQE_2018-03-24_final
2018-03-24 10:35:41	ga_s2bm_ard_3-2-1_53JNF_2018-03-24_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51JWF_2018-03-26_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51JWF_2018-03-29_final
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53JNF_2018-04-03_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51JWF_2018-04-05_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51JWF_2018-04-08_final
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_53JNF_2018-04-13_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_51JWF_2018-04-15_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51JWF_2018-04-18_final
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53JNF_2018-04-23_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51JWF_2018-04-25_final
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53JNF_2018-05-03_final
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_51JWF_2018-05-08_final
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_53JNF_2018-05-13_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JWF_2018-05-18_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51JWF_2018-05-28_final
2018-06-07 11:25:26	ga_s2bm_ard_3-2-1_51JWF_2018-06-07_final
2018-07-12 10:29:34	ga_s2bm_ard_3-2-1_53HQE_2018-07-12_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51JWF_2018-07-17_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JWF_2018-07-27_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51JWF_2018-08-06_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51JWF_2018-08-16_final
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51JWF_2018-09-15_final
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_51JWF_2018-10-02_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JWF_2018-10-05_final
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_51JWF_2018-10-12_final
2018-11-01 11:14:12	ga_s2bm_ard_3-2-1_51JWF_2018-11-01_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51JWF_2018-11-04_final
2018-11-11 11:16:17	ga_s2bm_ard_3-2-1_51JWF_2018-11-11_final
2018-11-14 11:26:08	ga_s2bm_ard_3-2-1_51JWF_2018-11-14_final
2018-11-21 11:16:16	ga_s2bm_ard_3-2-1_51JWF_2018-11-21_final
2018-12-01 11:16:15	ga_s2bm_ard_3-2-1_51JWF_2018-12-01_final
2018-12-11 11:16:13	ga_s2bm_ard_3-2-1_51JWF_2018-12-11_final
2018-12-14 11:26:05	ga_s2bm_ard_3-2-1_51JWF_2018-12-14_final
2018-12-21 11:16:15	ga_s2bm_ard_3-2-1_51JWF_2018-12-21_final
2018-12-24 11:26:07	ga_s2bm_ard_3-2-1_51JWF_2018-12-24_final
2018-12-31 11:16:17	ga_s2bm_ard_3-2-1_51JWF_2018-12-31_final
2019-01-03 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2019-01-03_final
2019-01-10 11:16:19	ga_s2bm_ard_3-2-1_51JWF_2019-01-10_final
2019-01-13 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2019-01-13_final
2019-01-20 11:16:20	ga_s2bm_ard_3-2-1_51JWF_2019-01-20_final
2019-01-23 11:26:11	ga_s2bm_ard_3-2-1_51JWF_2019-01-23_final
2019-01-28 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-01-28_final
2019-01-30 11:16:20	ga_s2bm_ard_3-2-1_51JWF_2019-01-30_final
2019-02-02 11:26:11	ga_s2bm_ard_3-2-1_51JWF_2019-02-02_final
2019-02-07 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-02-07_final
2019-02-12 11:26:11	ga_s2bm_ard_3-2-1_51JWF_2019-02-12_final
2019-02-17 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-02-17_final
2019-02-22 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2019-02-22_final
2019-02-27 10:35:51	ga_s2bm_ard_3-2-1_53JNF_2019-02-27_final
2019-03-04 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2019-03-04_final
2019-03-09 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2019-03-09_final
2019-03-14 11:26:08	ga_s2bm_ard_3-2-1_51JWF_2019-03-14_final
2019-03-19 10:35:51	ga_s2bm_ard_3-2-1_53JNF_2019-03-19_final
2019-03-21 11:16:19	ga_s2bm_ard_3-2-1_51JWF_2019-03-21_final
2019-03-29 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2019-03-29_final
2019-04-08 10:35:56	ga_s2bm_ard_3-2-1_53JNF_2019-04-08_final
2019-04-18 10:35:58	ga_s2bm_ard_3-2-1_53JNF_2019-04-18_final
2019-04-28 10:35:59	ga_s2bm_ard_3-2-1_53JNF_2019-04-28_final
2019-05-08 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-05-08_final
2019-05-18 10:36:01	ga_s2bm_ard_3-2-1_53JNF_2019-05-18_final
2019-05-28 10:36:01	ga_s2bm_ard_3-2-1_53JNF_2019-05-28_final
2019-06-07 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-06-07_final
2019-06-17 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-06-17_final
2019-06-27 10:36:01	ga_s2bm_ard_3-2-1_53JNF_2019-06-27_final
2019-07-07 10:36:01	ga_s2bm_ard_3-2-1_53JNF_2019-07-07_final
2019-07-17 10:36:01	ga_s2bm_ard_3-2-1_53JNF_2019-07-17_final
2019-07-27 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-07-27_final
2019-08-06 10:36:00	ga_s2bm_ard_3-2-1_53JNF_2019-08-06_final
2019-08-16 10:35:58	ga_s2bm_ard_3-2-1_53JNF_2019-08-16_final
2019-08-26 10:35:57	ga_s2bm_ard_3-2-1_53JNF_2019-08-26_final
2019-09-05 10:35:55	ga_s2bm_ard_3-2-1_53JNF_2019-09-05_final
2019-09-15 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-09-15_final
2019-09-25 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-09-25_final
2019-10-05 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2019-10-05_final
2019-10-15 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2019-10-15_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