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
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_55HDA_2018-08-09_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_55HDA_2018-08-16_final
2018-08-26 09:46:21	ga_s2bm_ard_3-2-1_55HDA_2018-08-26_final
2018-08-29 09:55:59	ga_s2bm_ard_3-2-1_55HDA_2018-08-29_final
2018-09-05 09:46:20	ga_s2bm_ard_3-2-1_55HDA_2018-09-05_final
2018-09-08 09:54:21	ga_s2bm_ard_3-2-1_55HDA_2018-09-08_final
2018-09-15 09:46:25	ga_s2bm_ard_3-2-1_55HDA_2018-09-15_final
2018-09-18 09:56:03	ga_s2bm_ard_3-2-1_55HDA_2018-09-18_final
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55HDA_2018-09-28_final
2018-10-05 09:41:04	ga_s2bm_ard_3-2-1_55HDA_2018-10-05_final
2018-10-08 09:54:30	ga_s2bm_ard_3-2-1_55HDA_2018-10-08_final
2018-10-15 09:41:05	ga_s2bm_ard_3-2-1_55HDA_2018-10-15_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HDA_2018-10-18_final
2018-10-25 09:44:53	ga_s2bm_ard_3-2-1_55HDA_2018-10-25_final
2018-10-28 09:53:42	ga_s2bm_ard_3-2-1_55HDA_2018-10-28_final
2018-11-04 09:46:05	ga_s2bm_ard_3-2-1_55HDA_2018-11-04_final
2018-11-07 09:56:43	ga_s2bm_ard_3-2-1_55HDA_2018-11-07_final
2018-11-14 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2018-11-14_final
2018-11-17 09:56:42	ga_s2bm_ard_3-2-1_55HDA_2018-11-17_final
2018-11-24 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2018-11-24_final
2018-11-27 09:56:41	ga_s2bm_ard_3-2-1_55HDA_2018-11-27_final
2018-12-04 09:46:44	ga_s2bm_ard_3-2-1_55HDA_2018-12-04_final
2018-12-07 09:56:38	ga_s2bm_ard_3-2-1_55HDA_2018-12-07_final
2018-12-14 09:46:43	ga_s2bm_ard_3-2-1_55HDA_2018-12-14_final
2018-12-17 09:56:39	ga_s2bm_ard_3-2-1_55HDA_2018-12-17_final
2018-12-24 09:46:45	ga_s2bm_ard_3-2-1_55HDA_2018-12-24_final
2018-12-27 09:56:41	ga_s2bm_ard_3-2-1_55HDA_2018-12-27_final
2019-01-03 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2019-01-03_final
2019-01-06 09:56:43	ga_s2bm_ard_3-2-1_55HDA_2019-01-06_final
2019-01-13 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2019-01-13_final
2019-01-16 09:56:44	ga_s2bm_ard_3-2-1_55HDA_2019-01-16_final
2019-01-23 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2019-01-23_final
2019-01-26 09:56:45	ga_s2bm_ard_3-2-1_55HDA_2019-01-26_final
2019-02-02 09:46:44	ga_s2bm_ard_3-2-1_55HDA_2019-02-02_final
2019-02-05 09:56:45	ga_s2bm_ard_3-2-1_55HDA_2019-02-05_final
2019-02-12 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2019-02-12_final
2019-02-15 09:56:45	ga_s2bm_ard_3-2-1_55HDA_2019-02-15_final
2019-02-22 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2019-02-22_final
2019-02-25 09:56:44	ga_s2bm_ard_3-2-1_55HDA_2019-02-25_final
2019-03-04 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2019-03-04_final
2019-03-07 09:56:42	ga_s2bm_ard_3-2-1_55HDA_2019-03-07_final
2019-03-14 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2019-03-14_final
2019-03-17 09:56:43	ga_s2bm_ard_3-2-1_55HDA_2019-03-17_final
2019-03-24 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2019-03-24_final
2019-03-27 09:56:46	ga_s2bm_ard_3-2-1_55HDA_2019-03-27_final
2019-04-03 09:46:52	ga_s2bm_ard_3-2-1_55HDA_2019-04-03_final
2019-04-06 09:56:48	ga_s2bm_ard_3-2-1_55HDA_2019-04-06_final
2019-04-13 09:46:54	ga_s2bm_ard_3-2-1_55HDA_2019-04-13_final
2019-04-16 09:56:50	ga_s2bm_ard_3-2-1_55HDA_2019-04-16_final
2019-04-23 09:46:56	ga_s2bm_ard_3-2-1_55HDA_2019-04-23_final
2019-04-26 09:56:52	ga_s2bm_ard_3-2-1_55HDA_2019-04-26_final
2019-05-03 09:46:57	ga_s2bm_ard_3-2-1_55HDA_2019-05-03_final
2021-04-29 09:36:46	ga_s2bm_ard_3-2-1_55HEA_2021-04-29_final
2021-05-02 09:46:42	ga_s2bm_ard_3-2-1_55HEA_2021-05-02_final
2021-05-09 09:36:48	ga_s2bm_ard_3-2-1_55HEA_2021-05-09_final
2021-05-12 09:46:44	ga_s2bm_ard_3-2-1_55HEA_2021-05-12_final
2021-05-19 09:36:50	ga_s2bm_ard_3-2-1_55HEA_2021-05-19_final
2021-05-22 09:46:46	ga_s2bm_ard_3-2-1_55HEA_2021-05-22_final
2021-05-29 09:36:51	ga_s2bm_ard_3-2-1_55HEA_2021-05-29_final
2021-06-01 09:46:46	ga_s2bm_ard_3-2-1_55HEA_2021-06-01_final
2021-06-08 09:36:51	ga_s2bm_ard_3-2-1_55HEA_2021-06-08_final
2021-06-11 09:46:47	ga_s2bm_ard_3-2-1_55HEA_2021-06-11_final
2021-06-18 09:36:51	ga_s2bm_ard_3-2-1_55HEA_2021-06-18_final
2021-06-21 09:46:46	ga_s2bm_ard_3-2-1_55HEA_2021-06-21_final
2021-06-28 09:36:51	ga_s2bm_ard_3-2-1_55HEA_2021-06-28_final
2021-07-01 09:46:47	ga_s2bm_ard_3-2-1_55HEA_2021-07-01_final
2021-07-08 09:36:52	ga_s2bm_ard_3-2-1_55HEA_2021-07-08_final
2021-07-11 09:46:47	ga_s2bm_ard_3-2-1_55HEA_2021-07-11_final
2021-07-18 09:36:52	ga_s2bm_ard_3-2-1_55HEA_2021-07-18_final
2021-07-21 09:46:48	ga_s2bm_ard_3-2-1_55HEA_2021-07-21_final
2021-07-28 09:36:52	ga_s2bm_ard_3-2-1_55HEA_2021-07-28_final
2021-07-31 09:46:47	ga_s2bm_ard_3-2-1_55HEA_2021-07-31_final
2021-08-07 09:36:51	ga_s2bm_ard_3-2-1_55HEA_2021-08-07_final
2021-08-10 09:46:46	ga_s2bm_ard_3-2-1_55HEA_2021-08-10_final
2021-08-17 09:36:50	ga_s2bm_ard_3-2-1_55HEA_2021-08-17_final
2021-08-20 09:46:45	ga_s2bm_ard_3-2-1_55HEA_2021-08-20_final
2021-08-27 09:36:48	ga_s2bm_ard_3-2-1_55HEA_2021-08-27_final
2021-08-30 09:46:43	ga_s2bm_ard_3-2-1_55HEA_2021-08-30_final
2021-09-06 09:36:47	ga_s2bm_ard_3-2-1_55HEA_2021-09-06_final
2021-09-09 09:46:42	ga_s2bm_ard_3-2-1_55HEA_2021-09-09_final
2021-09-16 09:36:46	ga_s2bm_ard_3-2-1_55HEA_2021-09-16_final
2021-09-19 09:46:42	ga_s2bm_ard_3-2-1_55HEA_2021-09-19_final
2021-09-26 09:36:49	ga_s2bm_ard_3-2-1_55HEA_2021-09-26_final
2021-09-29 09:46:45	ga_s2bm_ard_3-2-1_55HEA_2021-09-29_final
2021-10-06 09:36:51	ga_s2bm_ard_3-2-1_55HEA_2021-10-06_final
2021-10-09 09:46:46	ga_s2bm_ard_3-2-1_55HEA_2021-10-09_final
2021-10-16 09:36:51	ga_s2bm_ard_3-2-1_55HEA_2021-10-16_final
2021-10-19 09:46:47	ga_s2bm_ard_3-2-1_55HEA_2021-10-19_final
2021-10-26 09:36:52	ga_s2bm_ard_3-2-1_55HEA_2021-10-26_final
2021-10-29 09:46:47	ga_s2bm_ard_3-2-1_55HEA_2021-10-29_final
2021-11-05 09:36:51	ga_s2bm_ard_3-2-1_55HEA_2021-11-05_final
2021-11-08 09:46:46	ga_s2bm_ard_3-2-1_55HEA_2021-11-08_final
2021-11-15 09:36:49	ga_s2bm_ard_3-2-1_55HEA_2021-11-15_final
2021-11-18 09:46:43	ga_s2bm_ard_3-2-1_55HEA_2021-11-18_final
2021-11-25 09:36:46	ga_s2bm_ard_3-2-1_55HEA_2021-11-25_final
2021-11-28 09:46:41	ga_s2bm_ard_3-2-1_55HEA_2021-11-28_final
2021-12-05 09:36:46	ga_s2bm_ard_3-2-1_55HEA_2021-12-05_final
2021-12-08 09:46:40	ga_s2bm_ard_3-2-1_55HEA_2021-12-08_final
2021-12-15 09:36:44	ga_s2bm_ard_3-2-1_55HEA_2021-12-15_final
2021-12-18 09:46:40	ga_s2bm_ard_3-2-1_55HEA_2021-12-18_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