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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
2018-10-28 09:53:42	ga_s2bm_ard_3-2-1_55JBH_2018-10-28_final
2018-10-31 10:03:09	ga_s2bm_ard_3-2-1_55JBH_2018-10-31_final
2018-11-07 09:55:08	ga_s2bm_ard_3-2-1_55JBH_2018-11-07_final
2018-11-10 10:05:03	ga_s2bm_ard_3-2-1_55JBH_2018-11-10_final
2018-11-17 09:55:08	ga_s2bm_ard_3-2-1_55JBH_2018-11-17_final
2018-11-20 10:05:04	ga_s2bm_ard_3-2-1_55JBH_2018-11-20_final
2018-11-27 09:55:07	ga_s2bm_ard_3-2-1_55JBH_2018-11-27_final
2018-12-07 09:55:05	ga_s2bm_ard_3-2-1_55JBH_2018-12-07_final
2018-12-10 10:05:00	ga_s2bm_ard_3-2-1_55JBH_2018-12-10_final
2018-12-17 09:55:05	ga_s2bm_ard_3-2-1_55JBH_2018-12-17_final
2018-12-20 10:05:01	ga_s2bm_ard_3-2-1_55JBH_2018-12-20_final
2018-12-27 09:55:07	ga_s2bm_ard_3-2-1_55JBH_2018-12-27_final
2018-12-30 10:05:03	ga_s2bm_ard_3-2-1_55JBH_2018-12-30_final
2019-01-06 09:55:09	ga_s2bm_ard_3-2-1_55JBH_2019-01-06_final
2019-01-09 10:05:04	ga_s2bm_ard_3-2-1_55JBH_2019-01-09_final
2019-01-16 09:55:10	ga_s2bm_ard_3-2-1_55JBH_2019-01-16_final
2019-01-19 10:05:05	ga_s2bm_ard_3-2-1_55JBH_2019-01-19_final
2019-01-26 09:55:11	ga_s2bm_ard_3-2-1_55JBH_2019-01-26_final
2019-01-29 10:05:06	ga_s2bm_ard_3-2-1_55JBH_2019-01-29_final
2019-02-05 09:55:11	ga_s2bm_ard_3-2-1_55JBH_2019-02-05_final
2019-02-08 10:05:06	ga_s2bm_ard_3-2-1_55JBH_2019-02-08_final
2019-02-15 09:55:11	ga_s2bm_ard_3-2-1_55JBH_2019-02-15_final
2019-02-18 10:05:05	ga_s2bm_ard_3-2-1_55JBH_2019-02-18_final
2019-02-25 09:55:10	ga_s2bm_ard_3-2-1_55JBH_2019-02-25_final
2019-02-28 10:05:04	ga_s2bm_ard_3-2-1_55JBH_2019-02-28_final
2019-03-07 09:55:08	ga_s2bm_ard_3-2-1_55JBH_2019-03-07_final
2019-03-10 10:05:03	ga_s2bm_ard_3-2-1_55JBH_2019-03-10_final
2019-03-17 09:55:09	ga_s2bm_ard_3-2-1_55JBH_2019-03-17_final
2019-03-20 10:05:05	ga_s2bm_ard_3-2-1_55JBH_2019-03-20_final
2019-03-27 09:55:12	ga_s2bm_ard_3-2-1_55JBH_2019-03-27_final
2019-03-30 10:05:08	ga_s2bm_ard_3-2-1_55JBH_2019-03-30_final
2019-04-06 09:55:14	ga_s2bm_ard_3-2-1_55JBH_2019-04-06_final
2019-04-09 10:05:10	ga_s2bm_ard_3-2-1_55JBH_2019-04-09_final
2019-04-16 09:55:16	ga_s2bm_ard_3-2-1_55JBH_2019-04-16_final
2019-04-19 10:05:12	ga_s2bm_ard_3-2-1_55JBH_2019-04-19_final
2019-04-26 09:55:18	ga_s2bm_ard_3-2-1_55JBH_2019-04-26_final
2019-04-29 10:05:13	ga_s2bm_ard_3-2-1_55JBH_2019-04-29_final
2019-05-06 09:55:19	ga_s2bm_ard_3-2-1_55JBH_2019-05-06_final
2019-05-09 10:05:14	ga_s2bm_ard_3-2-1_55JBH_2019-05-09_final
2019-05-16 09:55:19	ga_s2bm_ard_3-2-1_55JBH_2019-05-16_final
2019-05-19 10:05:14	ga_s2bm_ard_3-2-1_55JBH_2019-05-19_final
2019-05-26 09:55:19	ga_s2bm_ard_3-2-1_55JBH_2019-05-26_final
2019-05-29 10:05:14	ga_s2bm_ard_3-2-1_55JBH_2019-05-29_final
2019-06-05 09:55:19	ga_s2bm_ard_3-2-1_55JBH_2019-06-05_final
2019-06-08 10:05:13	ga_s2bm_ard_3-2-1_55JBH_2019-06-08_final
2019-06-15 09:55:18	ga_s2bm_ard_3-2-1_55JBH_2019-06-15_final
2019-06-18 10:05:13	ga_s2bm_ard_3-2-1_55JBH_2019-06-18_final
2019-06-25 09:55:19	ga_s2bm_ard_3-2-1_55JBH_2019-06-25_final
2019-12-31 10:25:12	ga_s2bm_ard_3-2-1_54JTN_2019-12-31_final
2020-01-10 10:25:12	ga_s2bm_ard_3-2-1_54JTN_2020-01-10_final
2020-01-20 10:25:11	ga_s2bm_ard_3-2-1_54JTN_2020-01-20_final
2020-01-30 10:25:10	ga_s2bm_ard_3-2-1_54JTN_2020-01-30_final
2020-02-09 10:25:12	ga_s2bm_ard_3-2-1_54JTN_2020-02-09_final
2020-02-19 10:25:13	ga_s2bm_ard_3-2-1_54JTN_2020-02-19_final
2020-02-29 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2020-02-29_final
2020-03-10 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2020-03-10_final
2020-03-20 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2020-03-20_final
2020-03-30 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2020-03-30_final
2020-04-09 10:25:14	ga_s2bm_ard_3-2-1_54JTN_2020-04-09_final
2020-04-19 10:25:12	ga_s2bm_ard_3-2-1_54JTN_2020-04-19_final
2020-04-29 10:25:13	ga_s2bm_ard_3-2-1_54JTN_2020-04-29_final
2020-05-09 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2020-05-09_final
2020-05-19 10:25:17	ga_s2bm_ard_3-2-1_54JTN_2020-05-19_final
2020-05-29 10:25:19	ga_s2bm_ard_3-2-1_54JTN_2020-05-29_final
2020-06-08 10:25:19	ga_s2bm_ard_3-2-1_54JTN_2020-06-08_final
2020-06-18 10:25:20	ga_s2bm_ard_3-2-1_54JTN_2020-06-18_final
2020-06-28 10:25:20	ga_s2bm_ard_3-2-1_54JTN_2020-06-28_final
2020-07-08 10:25:19	ga_s2bm_ard_3-2-1_54JTN_2020-07-08_final
2020-07-18 10:25:19	ga_s2bm_ard_3-2-1_54JTN_2020-07-18_final
2020-07-28 10:25:20	ga_s2bm_ard_3-2-1_54JTN_2020-07-28_final
2020-08-07 10:25:21	ga_s2bm_ard_3-2-1_54JTN_2020-08-07_final
2020-08-17 10:25:21	ga_s2bm_ard_3-2-1_54JTN_2020-08-17_final
2020-08-27 10:25:21	ga_s2bm_ard_3-2-1_54JTN_2020-08-27_final
2021-05-31 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-05-31_final
2021-06-13 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-13_final
2021-06-23 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-23_final
2021-06-30 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-30_final
2021-07-13 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2021-07-13_final
2021-08-09 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-08-09_final
2021-08-12 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-08-12_final
2021-08-29 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2021-08-29_final
2021-09-08 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-09-08_final
2021-09-11 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2021-09-11_final
2021-09-18 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-09-18_final
2021-09-21 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-09-21_final
2021-10-01 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-10-01_final
2021-10-08 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-10-08_final
2021-10-11 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-10-11_final
2021-10-18 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2021-10-18_final
2021-10-21 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2021-10-21_final
2021-10-28 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2021-10-28_final
2021-11-07 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2021-11-07_final
2021-11-10 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-11-10_final
2021-11-17 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2021-11-17_final
2021-11-27 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2021-11-27_final
2021-11-30 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2021-11-30_final
2021-12-07 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2021-12-07_final
2021-12-10 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2021-12-10_final
2021-12-17 11:55:53	ga_s2bm_ard_3-2-1_50JKN_2021-12-17_final
2021-12-27 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2021-12-27_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