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
2017-08-21 09:41:08	ga_s2bm_ard_3-2-1_56KLE_2017-08-21_final
2017-09-10 09:41:02	ga_s2bm_ard_3-2-1_56KLE_2017-09-10_final
2017-09-20 09:37:19	ga_s2bm_ard_3-2-1_56KLE_2017-09-20_final
2017-09-30 09:40:53	ga_s2bm_ard_3-2-1_56KLE_2017-09-30_final
2017-10-20 09:40:55	ga_s2bm_ard_3-2-1_56KLE_2017-10-20_final
2017-11-09 09:40:55	ga_s2bm_ard_3-2-1_56KLE_2017-11-09_final
2017-11-29 09:40:57	ga_s2bm_ard_3-2-1_56KLE_2017-11-29_final
2017-12-19 09:40:56	ga_s2bm_ard_3-2-1_56KLE_2017-12-19_final
2018-01-08 09:41:00	ga_s2bm_ard_3-2-1_56KLE_2018-01-08_final
2018-01-28 09:41:02	ga_s2bm_ard_3-2-1_56KLE_2018-01-28_final
2018-02-17 09:41:01	ga_s2bm_ard_3-2-1_56KLE_2018-02-17_final
2018-02-27 09:41:00	ga_s2bm_ard_3-2-1_56KLE_2018-02-27_final
2018-03-09 09:40:59	ga_s2bm_ard_3-2-1_56KLE_2018-03-09_final
2018-03-19 09:41:02	ga_s2bm_ard_3-2-1_56KLE_2018-03-19_final
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_56KLE_2018-03-29_final
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_56KLE_2018-04-08_final
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_56KLE_2018-04-18_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56KLE_2018-04-28_final
2018-05-08 09:41:07	ga_s2bm_ard_3-2-1_56KLE_2018-05-08_final
2018-05-18 09:41:07	ga_s2bm_ard_3-2-1_56KLE_2018-05-18_final
2018-05-28 09:41:05	ga_s2bm_ard_3-2-1_56KLE_2018-05-28_final
2018-06-07 09:41:06	ga_s2bm_ard_3-2-1_56KLE_2018-06-07_final
2018-06-17 09:41:07	ga_s2bm_ard_3-2-1_56KLE_2018-06-17_final
2018-06-27 09:41:07	ga_s2bm_ard_3-2-1_56KLE_2018-06-27_final
2018-07-07 09:41:07	ga_s2bm_ard_3-2-1_56KLE_2018-07-07_final
2018-07-17 09:41:07	ga_s2bm_ard_3-2-1_56KLE_2018-07-17_final
2018-07-27 09:41:06	ga_s2bm_ard_3-2-1_56KLE_2018-07-27_final
2018-08-06 09:41:04	ga_s2bm_ard_3-2-1_56KLE_2018-08-06_final
2018-08-16 09:41:02	ga_s2bm_ard_3-2-1_56KLE_2018-08-16_final
2018-08-26 09:41:00	ga_s2bm_ard_3-2-1_56KLE_2018-08-26_final
2018-09-05 09:40:59	ga_s2bm_ard_3-2-1_56KLE_2018-09-05_final
2018-09-15 09:41:00	ga_s2bm_ard_3-2-1_56KLE_2018-09-15_final
2018-09-25 09:41:02	ga_s2bm_ard_3-2-1_56KLE_2018-09-25_final
2018-10-05 09:41:04	ga_s2bm_ard_3-2-1_56KLE_2018-10-05_final
2018-10-15 09:41:05	ga_s2bm_ard_3-2-1_56KLE_2018-10-15_final
2022-09-04 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2022-09-04_final.stac-item
2022-09-14 09:41:58	ga_s2bm_ard_3-2-1_56KLE_2022-09-14_final.stac-item
2022-09-24 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2022-09-24_final.stac-item
2022-10-04 09:41:50	ga_s2bm_ard_3-2-1_56KLE_2022-10-04_final.stac-item
2022-10-04 09:41:56	ga_s2bm_ard_3-2-1_56KLE_2022-10-04_final.stac-item
2022-10-14 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2022-10-14_final.stac-item
2022-10-24 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2022-10-24_final.stac-item
2022-11-03 09:41:54	ga_s2bm_ard_3-2-1_56KLE_2022-11-03_final.stac-item
2022-11-13 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2022-11-13_final.stac-item
2022-11-23 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2022-11-23_final.stac-item
2022-12-03 09:41:54	ga_s2bm_ard_3-2-1_56KLE_2022-12-03_final.stac-item
2022-12-23 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2022-12-23_final.stac-item
2023-01-02 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2023-01-02_final.stac-item
2023-01-12 09:41:52	ga_s2bm_ard_3-2-1_56KLE_2023-01-12_final.stac-item
2023-01-22 09:41:54	ga_s2bm_ard_3-2-1_56KLE_2023-01-22_final.stac-item
2023-02-01 09:41:53	ga_s2bm_ard_3-2-1_56KLE_2023-02-01_final.stac-item
2023-02-11 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2023-02-11_final.stac-item
2023-02-21 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2023-02-21_final.stac-item
2023-03-03 09:41:49	ga_s2bm_ard_3-2-1_56KLE_2023-03-03_final.stac-item
2023-03-03 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2023-03-03_final.stac-item
2023-03-13 09:42:00	ga_s2bm_ard_3-2-1_56KLE_2023-03-13_final.stac-item
2023-03-23 09:41:58	ga_s2bm_ard_3-2-1_56KLE_2023-03-23_final.stac-item
2023-04-02 09:41:59	ga_s2bm_ard_3-2-1_56KLE_2023-04-02_final.stac-item
2023-04-12 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2023-04-12_final.stac-item
2023-04-22 09:41:58	ga_s2bm_ard_3-2-1_56KLE_2023-04-22_final.stac-item
2023-05-02 09:41:58	ga_s2bm_ard_3-2-1_56KLE_2023-05-02_final.stac-item
2023-05-12 09:41:59	ga_s2bm_ard_3-2-1_56KLE_2023-05-12_final.stac-item
2023-05-22 09:42:01	ga_s2bm_ard_3-2-1_56KLE_2023-05-22_final.stac-item
2023-06-01 09:42:00	ga_s2bm_ard_3-2-1_56KLE_2023-06-01_final.stac-item
2023-06-11 09:42:01	ga_s2bm_ard_3-2-1_56KLE_2023-06-11_final.stac-item
2023-06-21 09:42:00	ga_s2bm_ard_3-2-1_56KLE_2023-06-21_final.stac-item
2023-07-01 09:42:01	ga_s2bm_ard_3-2-1_56KLE_2023-07-01_final.stac-item
2023-07-11 09:42:01	ga_s2bm_ard_3-2-1_56KLE_2023-07-11_final.stac-item
2023-07-21 09:42:02	ga_s2bm_ard_3-2-1_56KLE_2023-07-21_final.stac-item
2023-07-31 09:42:01	ga_s2bm_ard_3-2-1_56KLE_2023-07-31_final.stac-item
2023-08-10 09:42:01	ga_s2bm_ard_3-2-1_56KLE_2023-08-10_final.stac-item
2023-08-20 09:42:01	ga_s2bm_ard_3-2-1_56KLE_2023-08-20_final.stac-item
2023-08-30 09:42:01	ga_s2bm_ard_3-2-1_56KLE_2023-08-30_final.stac-item
2023-09-09 09:42:00	ga_s2bm_ard_3-2-1_56KLE_2023-09-09_final.stac-item
2023-09-19 09:41:59	ga_s2bm_ard_3-2-1_56KLE_2023-09-19_final.stac-item
2023-09-29 09:41:59	ga_s2bm_ard_3-2-1_56KLE_2023-09-29_final.stac-item
2023-10-09 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2023-10-09_final.stac-item
2023-10-19 09:41:58	ga_s2bm_ard_3-2-1_56KLE_2023-10-19_final.stac-item
2023-10-29 09:41:58	ga_s2bm_ard_3-2-1_56KLE_2023-10-29_final.stac-item
2023-11-08 09:41:58	ga_s2bm_ard_3-2-1_56KLE_2023-11-08_final.stac-item
2023-11-18 09:41:54	ga_s2bm_ard_3-2-1_56KLE_2023-11-18_final.stac-item
2023-11-28 09:41:52	ga_s2bm_ard_3-2-1_56KLE_2023-11-28_final.stac-item
2023-12-08 09:41:53	ga_s2bm_ard_3-2-1_56KLE_2023-12-08_final.stac-item
2023-12-18 09:41:56	ga_s2bm_ard_3-2-1_56KLE_2023-12-18_final.stac-item
2023-12-28 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2023-12-28_final.stac-item
2024-01-07 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2024-01-07_final.stac-item
2024-01-17 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2024-01-17_final.stac-item
2024-01-27 09:41:54	ga_s2bm_ard_3-2-1_56KLE_2024-01-27_final.stac-item
2024-02-06 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2024-02-06_final.stac-item
2024-02-16 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2024-02-16_final.stac-item
2024-02-26 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2024-02-26_final.stac-item
2024-03-07 09:41:50	ga_s2bm_ard_3-2-1_56KLE_2024-03-07_final.stac-item
2024-03-17 09:41:55	ga_s2bm_ard_3-2-1_56KLE_2024-03-17_final.stac-item
2024-03-27 09:41:56	ga_s2bm_ard_3-2-1_56KLE_2024-03-27_final.stac-item
2024-04-06 09:41:54	ga_s2bm_ard_3-2-1_56KLE_2024-04-06_final.stac-item
2024-04-16 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2024-04-16_final.stac-item
2024-04-26 09:41:50	ga_s2bm_ard_3-2-1_56KLE_2024-04-26_final.stac-item
2024-04-26 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2024-04-26_final.stac-item
2024-05-06 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2024-05-06_final.stac-item
2024-05-16 09:41:54	ga_s2bm_ard_3-2-1_56KLE_2024-05-16_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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