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
2017-07-09 11:12:47	ga_s2bm_ard_3-2-1_52KEV_2017-07-09_final
2017-07-16 10:58:39	ga_s2bm_ard_3-2-1_52KEV_2017-07-16_final
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_52KEV_2017-07-19_final
2017-07-26 11:02:11	ga_s2bm_ard_3-2-1_52KEV_2017-07-26_final
2017-07-29 11:12:14	ga_s2bm_ard_3-2-1_52KEV_2017-07-29_final
2017-08-05 11:00:30	ga_s2bm_ard_3-2-1_52KEV_2017-08-05_final
2017-08-08 11:12:00	ga_s2bm_ard_3-2-1_52KEV_2017-08-08_final
2017-08-15 11:02:08	ga_s2bm_ard_3-2-1_52KEV_2017-08-15_final
2017-08-18 11:12:12	ga_s2bm_ard_3-2-1_52KEV_2017-08-18_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_52KEV_2017-08-25_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52KEV_2017-08-28_final
2017-09-04 11:02:04	ga_s2bm_ard_3-2-1_52KEV_2017-09-04_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_52KEV_2017-09-17_final
2017-09-24 11:01:57	ga_s2bm_ard_3-2-1_52KEV_2017-09-24_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KEV_2017-09-27_final
2017-10-04 11:02:43	ga_s2bm_ard_3-2-1_52KEV_2017-10-04_final
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_52KEV_2017-10-07_final
2017-10-14 11:01:57	ga_s2bm_ard_3-2-1_52KEV_2017-10-14_final
2017-10-17 11:12:01	ga_s2bm_ard_3-2-1_52KEV_2017-10-17_final
2017-10-24 11:02:45	ga_s2bm_ard_3-2-1_52KEV_2017-10-24_final
2017-10-27 11:11:48	ga_s2bm_ard_3-2-1_52KEV_2017-10-27_final
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52KEV_2017-11-03_final
2017-11-06 11:06:59	ga_s2bm_ard_3-2-1_52KEV_2017-11-06_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52KEV_2017-11-13_final
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52KEV_2017-11-16_final
2017-11-23 11:02:50	ga_s2bm_ard_3-2-1_52KEV_2017-11-23_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KEV_2017-12-06_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52KEV_2017-12-13_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_52KEV_2017-12-16_final
2017-12-23 11:02:47	ga_s2bm_ard_3-2-1_52KEV_2017-12-23_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52KEV_2017-12-26_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KEV_2018-01-02_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52KEV_2018-01-05_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52KEV_2018-01-12_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52KEV_2018-01-15_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52KEV_2018-01-22_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52KEV_2018-01-25_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52KEV_2018-02-01_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_52KEV_2018-02-04_final
2018-02-11 10:57:09	ga_s2bm_ard_3-2-1_52KEV_2018-02-11_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52KEV_2018-02-14_final
2018-02-21 11:02:40	ga_s2bm_ard_3-2-1_52KEV_2018-02-21_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_52KEV_2018-02-24_final
2018-03-03 10:57:06	ga_s2bm_ard_3-2-1_52KEV_2018-03-03_final
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_52KEV_2018-03-06_final
2018-03-13 11:02:50	ga_s2bm_ard_3-2-1_52KEV_2018-03-13_final
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_52KEV_2018-03-16_final
2018-03-23 10:57:10	ga_s2bm_ard_3-2-1_52KEV_2018-03-23_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_52KEV_2018-03-26_final
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52KEV_2018-04-02_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52KEV_2018-04-05_final
2018-04-12 10:57:13	ga_s2bm_ard_3-2-1_52KEV_2018-04-12_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52KEV_2018-04-15_final
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52KEV_2018-04-22_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_52KEV_2018-04-25_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52KEV_2018-05-02_final
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_52KEV_2018-05-05_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KEV_2018-05-12_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_52KEV_2018-05-15_final
2018-05-22 10:57:13	ga_s2bm_ard_3-2-1_52KEV_2018-05-22_final
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52KEV_2018-05-25_final
2018-06-01 10:57:12	ga_s2bm_ard_3-2-1_52KEV_2018-06-01_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52KEV_2018-06-01_final
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_52KEV_2018-06-04_final
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KEV_2018-06-11_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KEV_2018-06-14_final
2018-06-21 11:03:15	ga_s2bm_ard_3-2-1_52KEV_2018-06-21_final
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_52KEV_2018-06-24_final
2018-07-01 11:03:23	ga_s2bm_ard_3-2-1_52KEV_2018-07-01_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_52KEV_2018-07-04_final
2018-07-11 11:03:18	ga_s2bm_ard_3-2-1_52KEV_2018-07-11_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_52KEV_2018-07-14_final
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52KEV_2018-07-21_final
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52KEV_2018-07-24_final
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52KEV_2018-07-31_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52KEV_2018-08-03_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52KEV_2018-08-10_final
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KEV_2018-08-13_final
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52KEV_2018-08-20_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52KEV_2018-08-23_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52KEV_2018-08-30_final
2020-03-05 11:13:42	ga_s2bm_ard_3-2-1_52KEV_2020-03-05_final
2020-03-12 11:03:47	ga_s2bm_ard_3-2-1_52KEV_2020-03-12_final
2020-04-04 11:13:41	ga_s2bm_ard_3-2-1_52KEV_2020-04-04_final
2020-04-14 11:13:40	ga_s2bm_ard_3-2-1_52KEV_2020-04-14_final
2020-05-01 11:03:45	ga_s2bm_ard_3-2-1_52KEV_2020-05-01_final
2020-05-14 11:13:43	ga_s2bm_ard_3-2-1_52KEV_2020-05-14_final
2020-06-03 11:13:46	ga_s2bm_ard_3-2-1_52KEV_2020-06-03_final
2020-06-13 11:13:47	ga_s2bm_ard_3-2-1_52KEV_2020-06-13_final
2020-06-20 11:03:51	ga_s2bm_ard_3-2-1_52KEV_2020-06-20_final
2020-06-23 11:13:47	ga_s2bm_ard_3-2-1_52KEV_2020-06-23_final
2020-07-03 11:13:46	ga_s2bm_ard_3-2-1_52KEV_2020-07-03_final
2020-07-10 11:03:51	ga_s2bm_ard_3-2-1_52KEV_2020-07-10_final
2020-07-13 11:13:46	ga_s2bm_ard_3-2-1_52KEV_2020-07-13_final
2020-07-23 11:13:46	ga_s2bm_ard_3-2-1_52KEV_2020-07-23_final
2020-08-02 11:13:47	ga_s2bm_ard_3-2-1_52KEV_2020-08-02_final
2020-08-09 11:03:52	ga_s2bm_ard_3-2-1_52KEV_2020-08-09_final
2020-08-19 11:03:52	ga_s2bm_ard_3-2-1_52KEV_2020-08-19_final
2020-08-22 11:13:48	ga_s2bm_ard_3-2-1_52KEV_2020-08-22_final
2020-08-29 11:03:52	ga_s2bm_ard_3-2-1_52KEV_2020-08-29_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