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
2017-07-08 10:01:16	ga_s2bm_ard_3-2-1_54JZT_2017-07-08_final
2017-07-28 10:01:05	ga_s2bm_ard_3-2-1_54JZT_2017-07-28_final
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_54JZT_2017-08-17_final
2017-09-06 10:03:22	ga_s2bm_ard_3-2-1_54JZT_2017-09-06_final
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_54JZT_2017-09-26_final
2017-10-09 10:13:02	ga_s2bm_ard_3-2-1_54JZT_2017-10-09_final
2017-10-16 10:03:15	ga_s2bm_ard_3-2-1_54JZT_2017-10-16_final
2017-10-29 10:13:28	ga_s2bm_ard_3-2-1_54JZT_2017-10-29_final
2017-11-05 09:56:54	ga_s2bm_ard_3-2-1_54JZT_2017-11-05_final
2017-11-05 10:03:42	ga_s2bm_ard_3-2-1_54JZT_2017-11-05_final
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54JZT_2017-11-08_final
2017-11-25 10:01:29	ga_s2bm_ard_3-2-1_54JZT_2017-11-25_final
2017-12-05 09:56:56	ga_s2bm_ard_3-2-1_54JZT_2017-12-05_final
2017-12-15 10:01:29	ga_s2bm_ard_3-2-1_54JZT_2017-12-15_final
2017-12-25 09:56:56	ga_s2bm_ard_3-2-1_54JZT_2017-12-25_final
2018-01-04 10:01:32	ga_s2bm_ard_3-2-1_54JZT_2018-01-04_final
2018-01-14 09:56:59	ga_s2bm_ard_3-2-1_54JZT_2018-01-14_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JZT_2018-01-24_final
2018-02-03 09:57:00	ga_s2bm_ard_3-2-1_54JZT_2018-02-03_final
2018-02-13 10:01:34	ga_s2bm_ard_3-2-1_54JZT_2018-02-13_final
2018-02-23 09:56:59	ga_s2bm_ard_3-2-1_54JZT_2018-02-23_final
2018-03-05 09:56:58	ga_s2bm_ard_3-2-1_54JZT_2018-03-05_final
2018-03-15 09:56:59	ga_s2bm_ard_3-2-1_54JZT_2018-03-15_final
2018-03-25 09:57:02	ga_s2bm_ard_3-2-1_54JZT_2018-03-25_final
2018-04-04 09:57:04	ga_s2bm_ard_3-2-1_54JZT_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JRT_2018-04-04_final
2018-04-14 09:57:05	ga_s2bm_ard_3-2-1_54JZT_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JRT_2018-04-14_final
2018-04-24 09:57:06	ga_s2bm_ard_3-2-1_54JZT_2018-04-24_final
2018-05-04 09:57:06	ga_s2bm_ard_3-2-1_54JZT_2018-05-04_final
2018-05-14 09:57:06	ga_s2bm_ard_3-2-1_54JZT_2018-05-14_final
2018-05-24 09:57:05	ga_s2bm_ard_3-2-1_54JZT_2018-05-24_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50JRT_2018-05-31_final
2018-06-03 09:57:04	ga_s2bm_ard_3-2-1_54JZT_2018-06-03_final
2018-06-13 09:57:05	ga_s2bm_ard_3-2-1_54JZT_2018-06-13_final
2018-06-23 09:57:06	ga_s2bm_ard_3-2-1_54JZT_2018-06-23_final
2018-07-03 09:57:06	ga_s2bm_ard_3-2-1_54JZT_2018-07-03_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50JRT_2018-07-10_final
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_54JZT_2018-07-13_final
2018-07-23 09:57:05	ga_s2bm_ard_3-2-1_54JZT_2018-07-23_final
2018-08-02 09:57:04	ga_s2bm_ard_3-2-1_54JZT_2018-08-02_final
2018-08-12 09:57:02	ga_s2bm_ard_3-2-1_54JZT_2018-08-12_final
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54JZT_2018-08-15_final
2018-08-22 09:57:00	ga_s2bm_ard_3-2-1_54JZT_2018-08-22_final
2018-08-25 10:13:36	ga_s2bm_ard_3-2-1_54JZT_2018-08-25_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54JZT_2018-09-01_final
2018-09-04 10:13:35	ga_s2bm_ard_3-2-1_54JZT_2018-09-04_final
2018-09-11 10:01:54	ga_s2bm_ard_3-2-1_54JZT_2018-09-11_final
2018-09-21 09:57:00	ga_s2bm_ard_3-2-1_54JZT_2018-09-21_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JRT_2018-09-21_final
2018-10-01 09:57:02	ga_s2bm_ard_3-2-1_54JZT_2018-10-01_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_50JRT_2018-10-18_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JRT_2018-10-31_final
2018-11-17 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2018-11-17_final
2018-11-20 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2018-11-20_final
2018-11-27 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2018-11-27_final
2018-11-30 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2018-11-30_final
2018-12-10 11:44:24	ga_s2bm_ard_3-2-1_50JRT_2018-12-10_final
2018-12-17 11:34:31	ga_s2bm_ard_3-2-1_50JRT_2018-12-17_final
2018-12-20 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2018-12-20_final
2018-12-27 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2018-12-27_final
2018-12-30 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2018-12-30_final
2019-01-06 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2019-01-06_final
2019-01-09 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2019-01-09_final
2019-01-16 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2019-01-16_final
2019-01-19 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2019-01-19_final
2019-01-29 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2019-01-29_final
2019-02-08 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2019-02-08_final
2019-02-15 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2019-02-15_final
2019-02-18 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2019-02-18_final
2019-02-28 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2019-02-28_final
2019-03-10 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2019-03-10_final
2019-03-20 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2019-03-20_final
2019-03-30 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2019-03-30_final
2019-04-06 11:34:40	ga_s2bm_ard_3-2-1_50JRT_2019-04-06_final
2019-06-08 10:04:00	ga_s2bm_ard_3-2-1_54JZT_2019-06-08_final
2019-06-18 10:04:00	ga_s2bm_ard_3-2-1_54JZT_2019-06-18_final
2019-06-28 10:04:01	ga_s2bm_ard_3-2-1_54JZT_2019-06-28_final
2019-07-08 10:04:01	ga_s2bm_ard_3-2-1_54JZT_2019-07-08_final
2019-07-18 10:04:01	ga_s2bm_ard_3-2-1_54JZT_2019-07-18_final
2019-07-28 10:04:01	ga_s2bm_ard_3-2-1_54JZT_2019-07-28_final
2019-08-07 10:04:00	ga_s2bm_ard_3-2-1_54JZT_2019-08-07_final
2019-08-17 10:03:59	ga_s2bm_ard_3-2-1_54JZT_2019-08-17_final
2019-08-27 10:03:57	ga_s2bm_ard_3-2-1_54JZT_2019-08-27_final
2019-09-06 10:03:55	ga_s2bm_ard_3-2-1_54JZT_2019-09-06_final
2019-09-16 10:03:52	ga_s2bm_ard_3-2-1_54JZT_2019-09-16_final
2019-09-26 10:03:53	ga_s2bm_ard_3-2-1_54JZT_2019-09-26_final
2019-10-06 10:03:53	ga_s2bm_ard_3-2-1_54JZT_2019-10-06_final
2019-10-16 10:03:54	ga_s2bm_ard_3-2-1_54JZT_2019-10-16_final
2019-10-26 10:03:54	ga_s2bm_ard_3-2-1_54JZT_2019-10-26_final
2019-11-05 10:03:54	ga_s2bm_ard_3-2-1_54JZT_2019-11-05_final
2019-11-15 10:03:51	ga_s2bm_ard_3-2-1_54JZT_2019-11-15_final
2019-11-25 10:03:49	ga_s2bm_ard_3-2-1_54JZT_2019-11-25_final
2019-11-28 10:13:41	ga_s2bm_ard_3-2-1_54JZT_2019-11-28_final
2019-12-05 10:03:46	ga_s2bm_ard_3-2-1_54JZT_2019-12-05_final
2019-12-08 10:13:40	ga_s2bm_ard_3-2-1_54JZT_2019-12-08_final
2019-12-15 10:03:47	ga_s2bm_ard_3-2-1_54JZT_2019-12-15_final
2019-12-25 10:03:48	ga_s2bm_ard_3-2-1_54JZT_2019-12-25_final
2020-01-04 10:03:48	ga_s2bm_ard_3-2-1_54JZT_2020-01-04_final
2020-01-14 10:03:47	ga_s2bm_ard_3-2-1_54JZT_2020-01-14_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