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
2017-07-15 09:52:35	ga_s2bm_ard_3-2-1_55JDN_2017-07-15_final
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55JDN_2017-08-04_final
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55JDN_2017-08-24_final
2017-10-03 09:50:38	ga_s2bm_ard_3-2-1_55JDN_2017-10-03_final
2018-01-11 09:52:49	ga_s2bm_ard_3-2-1_55JDN_2018-01-11_final
2018-02-10 09:51:50	ga_s2bm_ard_3-2-1_55JDN_2018-02-10_final
2018-03-22 09:50:48	ga_s2bm_ard_3-2-1_55JDN_2018-03-22_final
2018-05-21 09:50:52	ga_s2bm_ard_3-2-1_55JDN_2018-05-21_final
2018-05-31 09:50:51	ga_s2bm_ard_3-2-1_55JDN_2018-05-31_final
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55JDN_2018-09-28_final
2018-10-08 09:50:50	ga_s2bm_ard_3-2-1_55JDN_2018-10-08_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55JDN_2018-10-18_final
2018-10-28 09:50:52	ga_s2bm_ard_3-2-1_55JDN_2018-10-28_final
2018-10-28 09:53:42	ga_s2bm_ard_3-2-1_55JDN_2018-10-28_final
2018-11-07 09:53:48	ga_s2bm_ard_3-2-1_55JDN_2018-11-07_final
2018-11-17 09:53:48	ga_s2bm_ard_3-2-1_55JDN_2018-11-17_final
2018-11-27 09:53:47	ga_s2bm_ard_3-2-1_55JDN_2018-11-27_final
2018-12-27 09:53:47	ga_s2bm_ard_3-2-1_55JDN_2018-12-27_final
2019-01-06 09:53:49	ga_s2bm_ard_3-2-1_55JDN_2019-01-06_final
2019-01-26 09:53:51	ga_s2bm_ard_3-2-1_55JDN_2019-01-26_final
2019-04-26 09:53:58	ga_s2bm_ard_3-2-1_55JDN_2019-04-26_final
2019-05-06 09:53:59	ga_s2bm_ard_3-2-1_55JDN_2019-05-06_final
2019-05-16 09:53:59	ga_s2bm_ard_3-2-1_55JDN_2019-05-16_final
2019-05-26 09:53:59	ga_s2bm_ard_3-2-1_55JDN_2019-05-26_final
2019-06-15 09:53:58	ga_s2bm_ard_3-2-1_55JDN_2019-06-15_final
2019-06-25 09:53:59	ga_s2bm_ard_3-2-1_55JDN_2019-06-25_final
2019-07-05 09:53:59	ga_s2bm_ard_3-2-1_55JDN_2019-07-05_final
2019-07-25 09:53:59	ga_s2bm_ard_3-2-1_55JDN_2019-07-25_final
2019-09-23 09:53:50	ga_s2bm_ard_3-2-1_55JDN_2019-09-23_final
2019-10-03 09:53:51	ga_s2bm_ard_3-2-1_55JDN_2019-10-03_final
2019-10-23 09:53:52	ga_s2bm_ard_3-2-1_55JDN_2019-10-23_final
2019-11-02 09:53:51	ga_s2bm_ard_3-2-1_55JDN_2019-11-02_final
2019-11-22 09:53:48	ga_s2bm_ard_3-2-1_55JDN_2019-11-22_final
2019-12-12 09:53:45	ga_s2bm_ard_3-2-1_55JDN_2019-12-12_final
2022-01-07 09:46:45	ga_s2bm_ard_3-2-1_55HDA_2022-01-07_final
2022-01-17 09:46:45	ga_s2bm_ard_3-2-1_55HDA_2022-01-17_final
2022-01-27 09:46:43	ga_s2bm_ard_3-2-1_55HDA_2022-01-27_final
2022-02-06 09:46:43	ga_s2bm_ard_3-2-1_55HDA_2022-02-06_final
2022-02-16 09:46:43	ga_s2bm_ard_3-2-1_55HDA_2022-02-16_final
2022-02-26 09:46:45	ga_s2bm_ard_3-2-1_55HDA_2022-02-26_final
2022-03-08 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2022-03-08_final
2022-03-18 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2022-03-18_final
2022-03-28 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2022-03-28_final
2022-04-07 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2022-04-07_final
2022-04-17 09:46:45	ga_s2bm_ard_3-2-1_55HDA_2022-04-17_final
2022-04-27 09:46:42	ga_s2bm_ard_3-2-1_55HDA_2022-04-27_final
2022-05-07 09:46:45	ga_s2bm_ard_3-2-1_55HDA_2022-05-07_final
2022-05-17 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2022-05-17_final
2022-05-27 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2022-05-27_final
2022-06-06 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2022-06-06_final
2022-06-16 09:46:53	ga_s2bm_ard_3-2-1_55HDA_2022-06-16_final
2022-06-26 09:46:54	ga_s2bm_ard_3-2-1_55HDA_2022-06-26_final
2022-07-06 09:46:54	ga_s2bm_ard_3-2-1_55HDA_2022-07-06_final
2022-07-16 09:46:54	ga_s2bm_ard_3-2-1_55HDA_2022-07-16_final
2022-07-26 09:46:54	ga_s2bm_ard_3-2-1_55HDA_2022-07-26_final
2022-08-05 09:46:54	ga_s2bm_ard_3-2-1_55HDA_2022-08-05_final
2022-08-15 09:46:52	ga_s2bm_ard_3-2-1_55HDA_2022-08-15_final
2022-08-25 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2022-08-25_final
2022-09-04 09:46:51	ga_s2bm_ard_3-2-1_55HDA_2022-09-04_final.stac-item
2022-09-14 09:46:51	ga_s2bm_ard_3-2-1_55HDA_2022-09-14_final.stac-item
2022-09-24 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2022-09-24_final.stac-item
2022-10-04 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2022-10-04_final.stac-item
2022-10-14 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2022-10-14_final.stac-item
2022-10-24 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2022-10-24_final.stac-item
2022-11-03 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2022-11-03_final.stac-item
2022-11-13 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2022-11-13_final.stac-item
2022-11-23 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2022-11-23_final.stac-item
2022-12-03 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2022-12-03_final.stac-item
2022-12-23 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2022-12-23_final.stac-item
2023-01-02 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2023-01-02_final.stac-item
2023-01-12 09:46:45	ga_s2bm_ard_3-2-1_55HDA_2023-01-12_final.stac-item
2023-01-22 09:46:44	ga_s2bm_ard_3-2-1_55HDA_2023-01-22_final.stac-item
2023-01-22 09:46:51	ga_s2bm_ard_3-2-1_55HDA_2023-01-22_final.stac-item
2023-02-01 09:46:37	ga_s2bm_ard_3-2-1_55HDA_2023-02-01_final.stac-item
2023-02-01 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2023-02-01_final.stac-item
2023-02-11 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2023-02-11_final.stac-item
2023-02-21 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2023-02-21_final.stac-item
2023-03-03 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2023-03-03_final.stac-item
2023-03-13 09:46:53	ga_s2bm_ard_3-2-1_55HDA_2023-03-13_final.stac-item
2023-03-23 09:46:51	ga_s2bm_ard_3-2-1_55HDA_2023-03-23_final.stac-item
2023-04-02 09:46:52	ga_s2bm_ard_3-2-1_55HDA_2023-04-02_final.stac-item
2023-04-12 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2023-04-12_final.stac-item
2023-04-22 09:46:51	ga_s2bm_ard_3-2-1_55HDA_2023-04-22_final.stac-item
2023-12-28 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2023-12-28_final.stac-item
2024-01-07 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2024-01-07_final.stac-item
2024-01-17 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2024-01-17_final.stac-item
2024-01-20 09:53:58	ga_s2bm_ard_3-2-1_55JDM_2024-01-20_final.stac-item
2024-01-27 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2024-01-27_final.stac-item
2024-02-06 09:46:42	ga_s2bm_ard_3-2-1_55HDA_2024-02-06_final.stac-item
2024-02-06 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2024-02-06_final.stac-item
2024-02-16 09:46:53	ga_s2bm_ard_3-2-1_55HDA_2024-02-16_final.stac-item
2024-02-26 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2024-02-26_final.stac-item
2024-03-07 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2024-03-07_final.stac-item
2024-03-17 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2024-03-17_final.stac-item
2024-03-27 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2024-03-27_final.stac-item
2024-04-06 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2024-04-06_final.stac-item
2024-04-16 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2024-04-16_final.stac-item
2024-04-26 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2024-04-26_final.stac-item
2024-05-06 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2024-05-06_final.stac-item
2024-05-16 09:46:47	ga_s2bm_ard_3-2-1_55HDA_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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