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
2021-04-25 09:54:04	ga_s2bm_ard_3-2-1_55JCM_2021-04-25_final
2021-04-28 10:04:00	ga_s2bm_ard_3-2-1_55JCM_2021-04-28_final
2021-05-05 09:54:06	ga_s2bm_ard_3-2-1_55JCM_2021-05-05_final
2021-05-08 10:04:02	ga_s2bm_ard_3-2-1_55JCM_2021-05-08_final
2021-05-15 09:54:08	ga_s2bm_ard_3-2-1_55JCM_2021-05-15_final
2021-05-18 10:04:04	ga_s2bm_ard_3-2-1_55JCM_2021-05-18_final
2021-05-25 09:54:09	ga_s2bm_ard_3-2-1_55JCM_2021-05-25_final
2021-05-28 10:04:05	ga_s2bm_ard_3-2-1_55JCM_2021-05-28_final
2021-06-04 09:54:10	ga_s2bm_ard_3-2-1_55JCM_2021-06-04_final
2021-06-07 10:04:05	ga_s2bm_ard_3-2-1_55JCM_2021-06-07_final
2021-06-14 09:54:10	ga_s2bm_ard_3-2-1_55JCM_2021-06-14_final
2021-06-17 10:04:05	ga_s2bm_ard_3-2-1_55JCM_2021-06-17_final
2021-06-24 09:54:09	ga_s2bm_ard_3-2-1_55JCM_2021-06-24_final
2021-06-27 10:04:05	ga_s2bm_ard_3-2-1_55JCM_2021-06-27_final
2021-07-04 09:54:10	ga_s2bm_ard_3-2-1_55JCM_2021-07-04_final
2021-07-07 10:04:06	ga_s2bm_ard_3-2-1_55JCM_2021-07-07_final
2021-07-14 09:54:11	ga_s2bm_ard_3-2-1_55JCM_2021-07-14_final
2021-07-17 10:04:06	ga_s2bm_ard_3-2-1_55JCM_2021-07-17_final
2021-07-24 09:54:11	ga_s2bm_ard_3-2-1_55JCM_2021-07-24_final
2021-07-27 10:04:06	ga_s2bm_ard_3-2-1_55JCM_2021-07-27_final
2021-08-03 09:54:10	ga_s2bm_ard_3-2-1_55JCM_2021-08-03_final
2021-08-06 10:04:05	ga_s2bm_ard_3-2-1_55JCM_2021-08-06_final
2021-08-13 09:54:09	ga_s2bm_ard_3-2-1_55JCM_2021-08-13_final
2021-08-16 10:04:04	ga_s2bm_ard_3-2-1_55JCM_2021-08-16_final
2021-08-23 09:54:08	ga_s2bm_ard_3-2-1_55JCM_2021-08-23_final
2021-08-26 10:04:02	ga_s2bm_ard_3-2-1_55JCM_2021-08-26_final
2021-09-02 09:54:06	ga_s2bm_ard_3-2-1_55JCM_2021-09-02_final
2021-09-05 10:04:01	ga_s2bm_ard_3-2-1_55JCM_2021-09-05_final
2021-09-12 09:54:05	ga_s2bm_ard_3-2-1_55JCM_2021-09-12_final
2021-09-15 10:04:00	ga_s2bm_ard_3-2-1_55JCM_2021-09-15_final
2021-09-22 09:54:06	ga_s2bm_ard_3-2-1_55JCM_2021-09-22_final
2021-09-25 10:04:02	ga_s2bm_ard_3-2-1_55JCM_2021-09-25_final
2021-10-02 09:54:09	ga_s2bm_ard_3-2-1_55JCM_2021-10-02_final
2021-10-05 10:04:04	ga_s2bm_ard_3-2-1_55JCM_2021-10-05_final
2021-10-12 09:54:10	ga_s2bm_ard_3-2-1_55JCM_2021-10-12_final
2021-10-15 10:04:05	ga_s2bm_ard_3-2-1_55JCM_2021-10-15_final
2021-10-22 09:54:10	ga_s2bm_ard_3-2-1_55JCM_2021-10-22_final
2021-10-25 10:04:06	ga_s2bm_ard_3-2-1_55JCM_2021-10-25_final
2021-11-01 09:54:10	ga_s2bm_ard_3-2-1_55JCM_2021-11-01_final
2021-11-04 10:04:05	ga_s2bm_ard_3-2-1_55JCM_2021-11-04_final
2021-11-11 09:54:09	ga_s2bm_ard_3-2-1_55JCM_2021-11-11_final
2021-11-14 10:04:03	ga_s2bm_ard_3-2-1_55JCM_2021-11-14_final
2021-11-21 09:54:06	ga_s2bm_ard_3-2-1_55JCM_2021-11-21_final
2021-11-24 10:04:00	ga_s2bm_ard_3-2-1_55JCM_2021-11-24_final
2021-12-01 09:54:04	ga_s2bm_ard_3-2-1_55JCM_2021-12-01_final
2021-12-04 10:03:59	ga_s2bm_ard_3-2-1_55JCM_2021-12-04_final
2021-12-11 09:54:04	ga_s2bm_ard_3-2-1_55JCM_2021-12-11_final
2021-12-21 09:54:04	ga_s2bm_ard_3-2-1_55JCM_2021-12-21_final
2021-12-24 10:03:59	ga_s2bm_ard_3-2-1_55JCM_2021-12-24_final
2022-09-10 10:03:37	ga_s2bm_ard_3-2-1_55KCP_2022-09-10_final.stac-item
2022-09-20 10:03:37	ga_s2bm_ard_3-2-1_55KCP_2022-09-20_final.stac-item
2022-09-30 10:03:35	ga_s2bm_ard_3-2-1_55KCP_2022-09-30_final.stac-item
2022-10-10 10:03:33	ga_s2bm_ard_3-2-1_55KCP_2022-10-10_final.stac-item
2022-10-20 10:03:34	ga_s2bm_ard_3-2-1_55KCP_2022-10-20_final.stac-item
2022-10-30 10:03:34	ga_s2bm_ard_3-2-1_55KCP_2022-10-30_final.stac-item
2022-11-09 10:03:34	ga_s2bm_ard_3-2-1_55KCP_2022-11-09_final.stac-item
2022-11-19 10:03:35	ga_s2bm_ard_3-2-1_55KCP_2022-11-19_final.stac-item
2022-11-29 10:03:34	ga_s2bm_ard_3-2-1_55KCP_2022-11-29_final.stac-item
2022-12-09 10:03:31	ga_s2bm_ard_3-2-1_55KCP_2022-12-09_final.stac-item
2022-12-19 10:03:34	ga_s2bm_ard_3-2-1_55KCP_2022-12-19_final.stac-item
2022-12-29 10:03:34	ga_s2bm_ard_3-2-1_55KCP_2022-12-29_final.stac-item
2023-01-08 10:03:32	ga_s2bm_ard_3-2-1_55KCP_2023-01-08_final.stac-item
2023-01-18 10:03:32	ga_s2bm_ard_3-2-1_55KCP_2023-01-18_final.stac-item
2023-01-28 10:03:28	ga_s2bm_ard_3-2-1_55KCP_2023-01-28_final.stac-item
2023-02-07 10:03:33	ga_s2bm_ard_3-2-1_55KCP_2023-02-07_final.stac-item
2023-02-17 10:03:33	ga_s2bm_ard_3-2-1_55KCP_2023-02-17_final.stac-item
2023-02-27 10:03:36	ga_s2bm_ard_3-2-1_55KCP_2023-02-27_final.stac-item
2023-03-09 10:03:39	ga_s2bm_ard_3-2-1_55KCP_2023-03-09_final.stac-item
2023-03-19 10:03:39	ga_s2bm_ard_3-2-1_55KCP_2023-03-19_final.stac-item
2023-03-29 10:03:38	ga_s2bm_ard_3-2-1_55KCP_2023-03-29_final.stac-item
2023-04-08 10:03:37	ga_s2bm_ard_3-2-1_55KCP_2023-04-08_final.stac-item
2023-04-18 10:03:37	ga_s2bm_ard_3-2-1_55KCP_2023-04-18_final.stac-item
2023-04-28 10:03:37	ga_s2bm_ard_3-2-1_55KCP_2023-04-28_final.stac-item
2023-05-08 10:03:38	ga_s2bm_ard_3-2-1_55KCP_2023-05-08_final.stac-item
2023-05-18 10:03:40	ga_s2bm_ard_3-2-1_55KCP_2023-05-18_final.stac-item
2023-05-28 10:03:39	ga_s2bm_ard_3-2-1_55KCP_2023-05-28_final.stac-item
2023-06-07 10:03:40	ga_s2bm_ard_3-2-1_55KCP_2023-06-07_final.stac-item
2023-06-17 10:03:40	ga_s2bm_ard_3-2-1_55KCP_2023-06-17_final.stac-item
2023-06-27 10:03:40	ga_s2bm_ard_3-2-1_55KCP_2023-06-27_final.stac-item
2023-07-07 10:03:40	ga_s2bm_ard_3-2-1_55KCP_2023-07-07_final.stac-item
2023-07-17 10:03:40	ga_s2bm_ard_3-2-1_55KCP_2023-07-17_final.stac-item
2023-07-27 10:03:41	ga_s2bm_ard_3-2-1_55KCP_2023-07-27_final.stac-item
2023-08-06 10:03:40	ga_s2bm_ard_3-2-1_55KCP_2023-08-06_final.stac-item
2023-08-16 10:03:41	ga_s2bm_ard_3-2-1_55KCP_2023-08-16_final.stac-item
2023-08-26 10:03:39	ga_s2bm_ard_3-2-1_55KCP_2023-08-26_final.stac-item
2023-09-05 10:03:40	ga_s2bm_ard_3-2-1_55KCP_2023-09-05_final.stac-item
2023-09-15 10:03:38	ga_s2bm_ard_3-2-1_55KCP_2023-09-15_final.stac-item
2023-09-25 10:03:38	ga_s2bm_ard_3-2-1_55KCP_2023-09-25_final.stac-item
2023-10-05 10:03:35	ga_s2bm_ard_3-2-1_55KCP_2023-10-05_final.stac-item
2023-10-15 10:03:37	ga_s2bm_ard_3-2-1_55KCP_2023-10-15_final.stac-item
2023-10-25 10:03:36	ga_s2bm_ard_3-2-1_55KCP_2023-10-25_final.stac-item
2023-11-04 10:03:38	ga_s2bm_ard_3-2-1_55KCP_2023-11-04_final.stac-item
2023-11-24 10:03:30	ga_s2bm_ard_3-2-1_55KCP_2023-11-24_final.stac-item
2023-12-04 10:03:32	ga_s2bm_ard_3-2-1_55KCP_2023-12-04_final.stac-item
2023-12-14 10:03:33	ga_s2bm_ard_3-2-1_55KCP_2023-12-14_final.stac-item
2023-12-24 10:03:36	ga_s2bm_ard_3-2-1_55KCP_2023-12-24_final.stac-item
2024-01-03 10:03:35	ga_s2bm_ard_3-2-1_55KCP_2024-01-03_final.stac-item
2024-01-13 10:03:33	ga_s2bm_ard_3-2-1_55KCP_2024-01-13_final.stac-item
2024-01-23 10:03:34	ga_s2bm_ard_3-2-1_55KCP_2024-01-23_final.stac-item
2024-02-02 10:03:32	ga_s2bm_ard_3-2-1_55KCP_2024-02-02_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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