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
2018-01-18 09:43:46	ga_s2bm_ard_3-2-1_55HFU_2018-01-18_final.stac-item
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HFU_2018-01-25_final.stac-item
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_55HFU_2018-01-28_final.stac-item
2018-02-04 09:32:54	ga_s2bm_ard_3-2-1_55HFU_2018-02-04_final.stac-item
2018-02-07 09:43:47	ga_s2bm_ard_3-2-1_55HFU_2018-02-07_final.stac-item
2018-02-14 09:32:33	ga_s2bm_ard_3-2-1_55HFU_2018-02-14_final.stac-item
2018-02-17 09:42:20	ga_s2bm_ard_3-2-1_55HFU_2018-02-17_final.stac-item
2018-02-24 09:32:54	ga_s2bm_ard_3-2-1_55HFU_2018-02-24_final.stac-item
2018-02-27 09:42:30	ga_s2bm_ard_3-2-1_55HFU_2018-02-27_final.stac-item
2018-03-06 09:35:23	ga_s2bm_ard_3-2-1_55HFU_2018-03-06_final.stac-item
2018-03-09 09:40:59	ga_s2bm_ard_3-2-1_55HFU_2018-03-09_final.stac-item
2018-03-16 09:32:32	ga_s2bm_ard_3-2-1_55HFU_2018-03-16_final.stac-item
2018-03-19 09:41:02	ga_s2bm_ard_3-2-1_55HFU_2018-03-19_final.stac-item
2018-03-26 09:32:35	ga_s2bm_ard_3-2-1_55HFU_2018-03-26_final.stac-item
2018-03-29 09:41:04	ga_s2bm_ard_3-2-1_55HFU_2018-03-29_final.stac-item
2018-04-05 09:32:37	ga_s2bm_ard_3-2-1_55HFU_2018-04-05_final.stac-item
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55HFU_2018-04-08_final.stac-item
2018-04-15 09:32:38	ga_s2bm_ard_3-2-1_55HFU_2018-04-15_final.stac-item
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_55HFU_2018-04-18_final.stac-item
2018-04-25 09:32:38	ga_s2bm_ard_3-2-1_55HFU_2018-04-25_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HFU_2018-04-28_final.stac-item
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_55HFU_2018-05-05_final.stac-item
2018-05-08 09:41:07	ga_s2bm_ard_3-2-1_55HFU_2018-05-08_final.stac-item
2018-05-15 09:35:53	ga_s2bm_ard_3-2-1_55HFU_2018-05-15_final.stac-item
2018-05-18 09:41:07	ga_s2bm_ard_3-2-1_55HFU_2018-05-18_final.stac-item
2018-05-25 09:32:37	ga_s2bm_ard_3-2-1_55HFU_2018-05-25_final.stac-item
2018-05-25 09:32:37	ga_s2bm_ard_3-2-1_55GEQ_2018-05-25_final
2018-05-28 09:41:05	ga_s2bm_ard_3-2-1_55HFU_2018-05-28_final.stac-item
2018-06-04 09:32:37	ga_s2bm_ard_3-2-1_55HFU_2018-06-04_final.stac-item
2018-06-04 09:32:37	ga_s2bm_ard_3-2-1_55GEQ_2018-06-04_final
2018-06-07 09:41:06	ga_s2bm_ard_3-2-1_55HFU_2018-06-07_final.stac-item
2018-06-14 09:32:38	ga_s2bm_ard_3-2-1_55HFU_2018-06-14_final.stac-item
2018-06-14 09:32:38	ga_s2bm_ard_3-2-1_55GEQ_2018-06-14_final
2018-06-17 09:41:07	ga_s2bm_ard_3-2-1_55HFU_2018-06-17_final.stac-item
2018-06-24 09:32:39	ga_s2bm_ard_3-2-1_55HFU_2018-06-24_final.stac-item
2018-06-24 09:32:39	ga_s2bm_ard_3-2-1_55GEQ_2018-06-24_final
2018-06-27 09:41:07	ga_s2bm_ard_3-2-1_55HFU_2018-06-27_final.stac-item
2018-07-04 09:36:08	ga_s2bm_ard_3-2-1_55HFU_2018-07-04_final.stac-item
2018-07-04 09:36:08	ga_s2bm_ard_3-2-1_55GEQ_2018-07-04_final
2018-07-07 09:42:12	ga_s2bm_ard_3-2-1_55HFU_2018-07-07_final.stac-item
2018-07-14 09:32:38	ga_s2bm_ard_3-2-1_55HFU_2018-07-14_final.stac-item
2018-07-14 09:37:45	ga_s2bm_ard_3-2-1_55GEQ_2018-07-14_final
2018-07-17 09:46:28	ga_s2bm_ard_3-2-1_55HFU_2018-07-17_final.stac-item
2018-07-24 09:32:37	ga_s2bm_ard_3-2-1_55HFU_2018-07-24_final.stac-item
2018-07-24 09:37:44	ga_s2bm_ard_3-2-1_55GEQ_2018-07-24_final
2018-07-27 09:46:27	ga_s2bm_ard_3-2-1_55HFU_2018-07-27_final.stac-item
2018-08-03 09:32:43	ga_s2bm_ard_3-2-1_55HFU_2018-08-03_final.stac-item
2018-08-03 09:32:43	ga_s2bm_ard_3-2-1_55GEQ_2018-08-03_final
2018-08-06 09:46:25	ga_s2bm_ard_3-2-1_55HFU_2018-08-06_final.stac-item
2018-08-13 09:35:52	ga_s2bm_ard_3-2-1_55HFU_2018-08-13_final.stac-item
2018-08-13 09:35:52	ga_s2bm_ard_3-2-1_55GEQ_2018-08-13_final
2018-08-13 09:35:52	ga_s2bm_ard_3-2-1_55GEP_2018-08-13_final
2018-08-16 09:46:37	ga_s2bm_ard_3-2-1_55HFU_2018-08-16_final.stac-item
2018-08-23 09:32:32	ga_s2bm_ard_3-2-1_55HFU_2018-08-23_final.stac-item
2018-08-23 09:37:39	ga_s2bm_ard_3-2-1_55GEQ_2018-08-23_final
2018-08-26 09:46:21	ga_s2bm_ard_3-2-1_55HFU_2018-08-26_final.stac-item
2018-09-02 09:35:46	ga_s2bm_ard_3-2-1_55GEQ_2018-09-02_final
2018-09-12 09:32:31	ga_s2bm_ard_3-2-1_55GEQ_2018-09-12_final
2018-09-12 09:37:59	ga_s2bm_ard_3-2-1_55GEQ_2018-09-12_final
2018-09-22 09:32:33	ga_s2bm_ard_3-2-1_55GEQ_2018-09-22_final
2018-09-22 09:38:01	ga_s2bm_ard_3-2-1_55GEQ_2018-09-22_final
2018-10-02 09:34:02	ga_s2bm_ard_3-2-1_55GEQ_2018-10-02_final
2018-10-12 09:32:36	ga_s2bm_ard_3-2-1_55GEQ_2018-10-12_final
2018-10-12 09:38:04	ga_s2bm_ard_3-2-1_55GEQ_2018-10-12_final
2018-10-22 09:32:37	ga_s2bm_ard_3-2-1_55GEQ_2018-10-22_final
2018-10-22 09:38:05	ga_s2bm_ard_3-2-1_55GEQ_2018-10-22_final
2018-11-01 09:32:37	ga_s2bm_ard_3-2-1_55GEQ_2018-11-01_final
2018-11-11 09:38:14	ga_s2bm_ard_3-2-1_55GEQ_2018-11-11_final
2018-11-21 09:38:13	ga_s2bm_ard_3-2-1_55GEQ_2018-11-21_final
2018-12-01 09:38:12	ga_s2bm_ard_3-2-1_55GEQ_2018-12-01_final
2018-12-11 09:38:10	ga_s2bm_ard_3-2-1_55GEQ_2018-12-11_final
2022-09-01 09:37:16	ga_s2bm_ard_3-2-1_55HFU_2022-09-01_final.stac-item
2022-09-04 09:47:11	ga_s2bm_ard_3-2-1_55HFU_2022-09-04_final.stac-item
2022-09-11 09:37:17	ga_s2bm_ard_3-2-1_55HFU_2022-09-11_final.stac-item
2022-09-14 09:47:11	ga_s2bm_ard_3-2-1_55HFU_2022-09-14_final.stac-item
2022-09-21 09:37:16	ga_s2bm_ard_3-2-1_55HFU_2022-09-21_final.stac-item
2022-09-24 09:47:10	ga_s2bm_ard_3-2-1_55HFU_2022-09-24_final.stac-item
2022-10-01 09:37:14	ga_s2bm_ard_3-2-1_55HFU_2022-10-01_final.stac-item
2022-10-11 09:37:13	ga_s2bm_ard_3-2-1_55HFU_2022-10-11_final.stac-item
2022-10-14 09:47:08	ga_s2bm_ard_3-2-1_55HFU_2022-10-14_final.stac-item
2022-10-21 09:37:14	ga_s2bm_ard_3-2-1_55HFU_2022-10-21_final.stac-item
2022-10-31 09:37:13	ga_s2bm_ard_3-2-1_55HFU_2022-10-31_final.stac-item
2022-11-10 09:37:14	ga_s2bm_ard_3-2-1_55HFU_2022-11-10_final.stac-item
2022-11-13 09:47:09	ga_s2bm_ard_3-2-1_55HFU_2022-11-13_final.stac-item
2022-11-20 09:37:14	ga_s2bm_ard_3-2-1_55HFU_2022-11-20_final.stac-item
2022-11-30 09:37:13	ga_s2bm_ard_3-2-1_55HFU_2022-11-30_final.stac-item
2022-12-03 09:47:07	ga_s2bm_ard_3-2-1_55HFU_2022-12-03_final.stac-item
2022-12-10 09:37:11	ga_s2bm_ard_3-2-1_55HFU_2022-12-10_final.stac-item
2022-12-20 09:37:14	ga_s2bm_ard_3-2-1_55HFU_2022-12-20_final.stac-item
2022-12-23 09:47:08	ga_s2bm_ard_3-2-1_55HFU_2022-12-23_final.stac-item
2022-12-30 09:37:14	ga_s2bm_ard_3-2-1_55HFU_2022-12-30_final.stac-item
2023-01-02 09:47:08	ga_s2bm_ard_3-2-1_55HFU_2023-01-02_final.stac-item
2023-01-09 09:37:12	ga_s2bm_ard_3-2-1_55HFU_2023-01-09_final.stac-item
2023-01-12 09:47:05	ga_s2bm_ard_3-2-1_55HFU_2023-01-12_final.stac-item
2023-10-29 09:46:41	ga_s2bm_ard_3-2-1_55HFA_2023-10-29_final.stac-item
2023-10-29 09:46:43	ga_s2bm_ard_3-2-1_55HEA_2023-10-29_final.stac-item
2023-11-08 09:46:43	ga_s2bm_ard_3-2-1_55HFA_2023-11-08_final.stac-item
2023-11-08 09:46:45	ga_s2bm_ard_3-2-1_55HEA_2023-11-08_final.stac-item
2024-02-06 09:46:38	ga_s2bm_ard_3-2-1_55HFA_2024-02-06_final.stac-item
2024-02-06 09:46:40	ga_s2bm_ard_3-2-1_55HEA_2024-02-06_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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