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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
2017-07-15 09:52:35	ga_s2bm_ard_3-2-1_55JEL_2017-07-15_final
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55JEL_2017-08-04_final
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55JEL_2017-08-24_final
2017-09-13 09:50:56	ga_s2bm_ard_3-2-1_55JEL_2017-09-13_final
2017-10-03 09:50:38	ga_s2bm_ard_3-2-1_55JEL_2017-10-03_final
2017-10-03 09:54:00	ga_s2bm_ard_3-2-1_55JEL_2017-10-03_final
2017-10-23 09:50:41	ga_s2bm_ard_3-2-1_55JEL_2017-10-23_final
2017-10-23 09:54:03	ga_s2bm_ard_3-2-1_55JEL_2017-10-23_final
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55JEL_2017-11-02_final
2017-11-12 09:50:41	ga_s2bm_ard_3-2-1_55JEL_2017-11-12_final
2017-11-22 09:51:43	ga_s2bm_ard_3-2-1_55JEL_2017-11-22_final
2017-12-02 09:52:46	ga_s2bm_ard_3-2-1_55JEL_2017-12-02_final
2017-12-12 09:51:43	ga_s2bm_ard_3-2-1_55JEL_2017-12-12_final
2017-12-22 09:52:45	ga_s2bm_ard_3-2-1_55JEL_2017-12-22_final
2018-01-01 09:51:45	ga_s2bm_ard_3-2-1_55JEL_2018-01-01_final
2018-01-11 09:52:49	ga_s2bm_ard_3-2-1_55JEL_2018-01-11_final
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55JEL_2018-01-21_final
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55JEL_2018-01-31_final
2018-02-10 09:51:50	ga_s2bm_ard_3-2-1_55JEL_2018-02-10_final
2018-02-20 09:52:38	ga_s2bm_ard_3-2-1_55JEL_2018-02-20_final
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55JEL_2018-03-02_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JEL_2018-03-12_final
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55JEL_2018-03-22_final
2018-04-01 09:50:50	ga_s2bm_ard_3-2-1_55JEL_2018-04-01_final
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55JEL_2018-04-11_final
2018-04-21 09:50:53	ga_s2bm_ard_3-2-1_55JEL_2018-04-21_final
2018-05-11 09:50:53	ga_s2bm_ard_3-2-1_55JEL_2018-05-11_final
2018-05-21 09:50:52	ga_s2bm_ard_3-2-1_55JEL_2018-05-21_final
2019-09-13 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2019-09-13_final
2019-09-23 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2019-09-23_final
2019-10-03 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2019-10-03_final
2019-10-13 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2019-10-13_final
2019-10-23 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2019-10-23_final
2022-09-07 09:54:18	ga_s2bm_ard_3-2-1_55JEL_2022-09-07_final.stac-item
2022-09-17 09:54:18	ga_s2bm_ard_3-2-1_55JEL_2022-09-17_final.stac-item
2022-09-27 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2022-09-27_final.stac-item
2022-10-07 09:54:14	ga_s2bm_ard_3-2-1_55JEL_2022-10-07_final.stac-item
2022-10-17 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2022-10-17_final.stac-item
2022-10-27 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2022-10-27_final.stac-item
2022-11-06 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2022-11-06_final.stac-item
2022-11-16 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2022-11-16_final.stac-item
2022-11-26 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2022-11-26_final.stac-item
2022-12-06 09:54:13	ga_s2bm_ard_3-2-1_55JEL_2022-12-06_final.stac-item
2022-12-16 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2022-12-16_final.stac-item
2022-12-26 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2022-12-26_final.stac-item
2023-01-05 09:54:14	ga_s2bm_ard_3-2-1_55JEL_2023-01-05_final.stac-item
2023-01-15 09:54:13	ga_s2bm_ard_3-2-1_55JEL_2023-01-15_final.stac-item
2023-01-25 09:54:14	ga_s2bm_ard_3-2-1_55JEL_2023-01-25_final.stac-item
2023-02-04 09:54:13	ga_s2bm_ard_3-2-1_55JEL_2023-02-04_final.stac-item
2023-02-14 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2023-02-14_final.stac-item
2023-02-24 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2023-02-24_final.stac-item
2023-03-06 09:54:19	ga_s2bm_ard_3-2-1_55JEL_2023-03-06_final.stac-item
2023-03-16 09:54:20	ga_s2bm_ard_3-2-1_55JEL_2023-03-16_final.stac-item
2023-03-26 09:54:19	ga_s2bm_ard_3-2-1_55JEL_2023-03-26_final.stac-item
2023-04-05 09:54:19	ga_s2bm_ard_3-2-1_55JEL_2023-04-05_final.stac-item
2023-04-15 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2023-04-15_final.stac-item
2023-04-25 09:54:18	ga_s2bm_ard_3-2-1_55JEL_2023-04-25_final.stac-item
2023-05-05 09:54:19	ga_s2bm_ard_3-2-1_55JEL_2023-05-05_final.stac-item
2023-05-15 09:54:20	ga_s2bm_ard_3-2-1_55JEL_2023-05-15_final.stac-item
2023-05-15 09:55:01	ga_s2bm_ard_3-2-1_55JEH_2023-05-15_final.stac-item
2023-05-25 09:54:21	ga_s2bm_ard_3-2-1_55JEL_2023-05-25_final.stac-item
2023-06-04 09:54:21	ga_s2bm_ard_3-2-1_55JEL_2023-06-04_final.stac-item
2023-06-14 09:54:21	ga_s2bm_ard_3-2-1_55JEL_2023-06-14_final.stac-item
2023-06-14 09:55:00	ga_s2bm_ard_3-2-1_55JDH_2023-06-14_final.stac-item
2023-06-24 09:54:20	ga_s2bm_ard_3-2-1_55JEL_2023-06-24_final.stac-item
2023-07-04 09:54:22	ga_s2bm_ard_3-2-1_55JEL_2023-07-04_final.stac-item
2023-07-04 09:55:03	ga_s2bm_ard_3-2-1_55JEH_2023-07-04_final.stac-item
2023-07-14 09:54:21	ga_s2bm_ard_3-2-1_55JEL_2023-07-14_final.stac-item
2023-07-24 09:54:22	ga_s2bm_ard_3-2-1_55JEL_2023-07-24_final.stac-item
2023-08-03 09:54:21	ga_s2bm_ard_3-2-1_55JEL_2023-08-03_final.stac-item
2023-08-13 09:54:22	ga_s2bm_ard_3-2-1_55JEL_2023-08-13_final.stac-item
2023-08-23 09:54:21	ga_s2bm_ard_3-2-1_55JEL_2023-08-23_final.stac-item
2023-09-02 09:54:21	ga_s2bm_ard_3-2-1_55JEL_2023-09-02_final.stac-item
2023-09-12 09:54:20	ga_s2bm_ard_3-2-1_55JEL_2023-09-12_final.stac-item
2023-09-22 09:54:20	ga_s2bm_ard_3-2-1_55JEL_2023-09-22_final.stac-item
2023-10-02 09:54:18	ga_s2bm_ard_3-2-1_55JEL_2023-10-02_final.stac-item
2023-10-12 09:54:18	ga_s2bm_ard_3-2-1_55JEL_2023-10-12_final.stac-item
2023-10-22 09:54:18	ga_s2bm_ard_3-2-1_55JEL_2023-10-22_final.stac-item
2023-11-01 09:54:19	ga_s2bm_ard_3-2-1_55JEL_2023-11-01_final.stac-item
2023-11-11 09:54:18	ga_s2bm_ard_3-2-1_55JEL_2023-11-11_final.stac-item
2023-11-21 09:54:13	ga_s2bm_ard_3-2-1_55JEL_2023-11-21_final.stac-item
2023-12-01 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2023-12-01_final.stac-item
2023-12-11 09:54:13	ga_s2bm_ard_3-2-1_55JEL_2023-12-11_final.stac-item
2023-12-21 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2023-12-21_final.stac-item
2023-12-31 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2023-12-31_final.stac-item
2024-01-10 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2024-01-10_final.stac-item
2024-01-20 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2024-01-20_final.stac-item
2024-01-30 09:54:14	ga_s2bm_ard_3-2-1_55JEL_2024-01-30_final.stac-item
2024-02-09 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2024-02-09_final.stac-item
2024-02-19 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2024-02-19_final.stac-item
2024-02-29 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2024-02-29_final.stac-item
2024-03-10 09:54:12	ga_s2bm_ard_3-2-1_55JEL_2024-03-10_final.stac-item
2024-03-20 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2024-03-20_final.stac-item
2024-03-30 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2024-03-30_final.stac-item
2024-04-09 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2024-04-09_final.stac-item
2024-04-19 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2024-04-19_final.stac-item
2024-04-29 09:54:16	ga_s2bm_ard_3-2-1_55JEL_2024-04-29_final.stac-item
2024-04-29 09:54:57	ga_s2bm_ard_3-2-1_55JDH_2024-04-29_final.stac-item
2024-05-09 09:54:17	ga_s2bm_ard_3-2-1_55JEL_2024-05-09_final.stac-item
2024-05-19 09:54:15	ga_s2bm_ard_3-2-1_55JEL_2024-05-19_final.stac-item

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

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