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
2022-12-14 09:15:05	ga_s2bm_ard_3-2-1_56JPM_2022-12-13_nrt.stac-item
2022-12-17 09:25:02	ga_s2bm_ard_3-2-1_56JPM_2022-12-16_nrt.stac-item
2022-12-24 09:15:07	ga_s2bm_ard_3-2-1_56JPM_2022-12-23_nrt.stac-item
2022-12-27 09:25:03	ga_s2bm_ard_3-2-1_56JPM_2022-12-26_nrt.stac-item
2023-01-03 09:15:06	ga_s2bm_ard_3-2-1_56JPM_2023-01-02_nrt.stac-item
2023-01-06 09:25:01	ga_s2bm_ard_3-2-1_56JPM_2023-01-05_nrt.stac-item
2023-01-13 09:15:03	ga_s2bm_ard_3-2-1_56JPM_2023-01-12_nrt.stac-item
2023-01-16 09:25:00	ga_s2bm_ard_3-2-1_56JPM_2023-01-15_nrt.stac-item
2023-01-23 09:15:05	ga_s2bm_ard_3-2-1_56JPM_2023-01-22_nrt.stac-item
2023-01-26 09:25:01	ga_s2bm_ard_3-2-1_56JPM_2023-01-25_nrt.stac-item
2023-02-02 09:15:04	ga_s2bm_ard_3-2-1_56JPM_2023-02-01_nrt.stac-item
2023-02-05 09:25:01	ga_s2bm_ard_3-2-1_56JPM_2023-02-04_nrt.stac-item
2023-02-12 09:15:06	ga_s2bm_ard_3-2-1_56JPM_2023-02-11_nrt.stac-item
2023-02-15 09:25:02	ga_s2bm_ard_3-2-1_56JPM_2023-02-14_nrt.stac-item
2023-02-22 09:15:07	ga_s2bm_ard_3-2-1_56JPM_2023-02-21_nrt.stac-item
2023-02-25 09:25:04	ga_s2bm_ard_3-2-1_56JPM_2023-02-24_nrt.stac-item
2023-03-04 09:15:09	ga_s2bm_ard_3-2-1_56JPM_2023-03-03_nrt.stac-item
2023-03-07 09:25:06	ga_s2bm_ard_3-2-1_56JPM_2023-03-06_nrt.stac-item
2023-03-14 09:15:12	ga_s2bm_ard_3-2-1_56JPM_2023-03-13_nrt.stac-item
2023-03-17 09:25:07	ga_s2bm_ard_3-2-1_56JPM_2023-03-16_nrt.stac-item
2023-03-24 09:15:09	ga_s2bm_ard_3-2-1_56JPM_2023-03-23_nrt.stac-item
2023-03-27 09:25:06	ga_s2bm_ard_3-2-1_56JPM_2023-03-26_nrt.stac-item
2023-04-03 09:15:11	ga_s2bm_ard_3-2-1_56JPM_2023-04-02_nrt.stac-item
2023-04-06 09:25:06	ga_s2bm_ard_3-2-1_56JPM_2023-04-05_nrt.stac-item
2023-04-13 09:15:08	ga_s2bm_ard_3-2-1_56JPM_2023-04-12_nrt.stac-item
2023-04-23 09:15:09	ga_s2bm_ard_3-2-1_56JPM_2023-04-22_nrt.stac-item
2023-04-26 09:25:05	ga_s2bm_ard_3-2-1_56JPM_2023-04-25_nrt.stac-item
2023-05-03 09:15:10	ga_s2bm_ard_3-2-1_56JPM_2023-05-02_nrt.stac-item
2023-05-06 09:25:06	ga_s2bm_ard_3-2-1_56JPM_2023-05-05_nrt.stac-item
2023-05-13 09:15:10	ga_s2bm_ard_3-2-1_56JPM_2023-05-12_nrt.stac-item
2023-05-16 09:25:07	ga_s2bm_ard_3-2-1_56JPM_2023-05-15_nrt.stac-item
2023-05-23 09:15:12	ga_s2bm_ard_3-2-1_56JPM_2023-05-22_nrt.stac-item
2023-05-26 09:25:08	ga_s2bm_ard_3-2-1_56JPM_2023-05-25_nrt.stac-item
2023-06-02 09:15:11	ga_s2bm_ard_3-2-1_56JPM_2023-06-01_nrt.stac-item
2023-06-05 09:25:08	ga_s2bm_ard_3-2-1_56JPM_2023-06-04_nrt.stac-item
2023-06-12 09:15:12	ga_s2bm_ard_3-2-1_56JPM_2023-06-11_nrt.stac-item
2023-06-15 09:25:08	ga_s2bm_ard_3-2-1_56JPM_2023-06-14_nrt.stac-item
2023-06-22 09:15:11	ga_s2bm_ard_3-2-1_56JPM_2023-06-21_nrt.stac-item
2023-06-25 09:25:08	ga_s2bm_ard_3-2-1_56JPM_2023-06-24_nrt.stac-item
2023-07-02 09:15:13	ga_s2bm_ard_3-2-1_56JPM_2023-07-01_nrt.stac-item
2023-07-05 09:25:09	ga_s2bm_ard_3-2-1_56JPM_2023-07-04_nrt.stac-item
2023-07-12 09:15:12	ga_s2bm_ard_3-2-1_56JPM_2023-07-11_nrt.stac-item
2023-07-15 09:25:08	ga_s2bm_ard_3-2-1_56JPM_2023-07-14_nrt.stac-item
2023-07-22 09:15:13	ga_s2bm_ard_3-2-1_56JPM_2023-07-21_nrt.stac-item
2023-07-25 09:25:09	ga_s2bm_ard_3-2-1_56JPM_2023-07-24_nrt.stac-item
2023-08-01 09:15:12	ga_s2bm_ard_3-2-1_56JPM_2023-07-31_nrt.stac-item
2023-08-04 09:25:08	ga_s2bm_ard_3-2-1_56JPM_2023-08-03_nrt.stac-item
2023-08-11 09:15:13	ga_s2bm_ard_3-2-1_56JPM_2023-08-10_nrt.stac-item
2023-08-14 09:25:09	ga_s2bm_ard_3-2-1_56JPM_2023-08-13_nrt.stac-item
2023-08-21 09:15:12	ga_s2bm_ard_3-2-1_56JPM_2023-08-20_nrt.stac-item
2023-08-24 09:25:07	ga_s2bm_ard_3-2-1_56JPM_2023-08-23_nrt.stac-item
2023-08-31 09:15:12	ga_s2bm_ard_3-2-1_56JPM_2023-08-30_nrt.stac-item
2023-09-03 09:25:08	ga_s2bm_ard_3-2-1_56JPM_2023-09-02_nrt.stac-item
2023-09-10 09:15:11	ga_s2bm_ard_3-2-1_56JPM_2023-09-09_nrt.stac-item
2023-09-13 09:25:07	ga_s2bm_ard_3-2-1_56JPM_2023-09-12_nrt.stac-item
2023-09-20 09:15:11	ga_s2bm_ard_3-2-1_56JPM_2023-09-19_nrt.stac-item
2023-09-23 09:25:07	ga_s2bm_ard_3-2-1_56JPM_2023-09-22_nrt.stac-item
2023-09-30 09:15:10	ga_s2bm_ard_3-2-1_56JPM_2023-09-29_nrt.stac-item
2023-10-03 09:25:04	ga_s2bm_ard_3-2-1_56JPM_2023-10-02_nrt.stac-item
2023-10-10 09:15:09	ga_s2bm_ard_3-2-1_56JPM_2023-10-09_nrt.stac-item
2023-10-13 09:25:05	ga_s2bm_ard_3-2-1_56JPM_2023-10-12_nrt.stac-item
2023-10-20 09:15:09	ga_s2bm_ard_3-2-1_56JPM_2023-10-19_nrt.stac-item
2023-10-23 09:25:05	ga_s2bm_ard_3-2-1_56JPM_2023-10-22_nrt.stac-item
2023-10-30 09:15:09	ga_s2bm_ard_3-2-1_56JPM_2023-10-29_nrt.stac-item
2023-11-02 09:25:06	ga_s2bm_ard_3-2-1_56JPM_2023-11-01_nrt.stac-item
2023-11-09 09:15:09	ga_s2bm_ard_3-2-1_56JPM_2023-11-08_nrt.stac-item
2023-11-12 09:25:04	ga_s2bm_ard_3-2-1_56JPM_2023-11-11_nrt.stac-item
2023-11-19 09:15:05	ga_s2bm_ard_3-2-1_56JPM_2023-11-18_nrt.stac-item
2023-11-22 09:24:59	ga_s2bm_ard_3-2-1_56JPM_2023-11-21_nrt.stac-item
2023-11-29 09:15:04	ga_s2bm_ard_3-2-1_56JPM_2023-11-28_nrt.stac-item
2023-12-02 09:25:00	ga_s2bm_ard_3-2-1_56JPM_2023-12-01_nrt.stac-item
2023-12-09 09:15:04	ga_s2bm_ard_3-2-1_56JPM_2023-12-08_nrt.stac-item
2023-12-12 09:25:01	ga_s2bm_ard_3-2-1_56JPM_2023-12-11_nrt.stac-item
2023-12-19 09:15:07	ga_s2bm_ard_3-2-1_56JPM_2023-12-18_nrt.stac-item
2023-12-22 09:25:04	ga_s2bm_ard_3-2-1_56JPM_2023-12-21_nrt.stac-item
2023-12-29 09:15:09	ga_s2bm_ard_3-2-1_56JPM_2023-12-28_nrt.stac-item
2024-01-01 09:25:04	ga_s2bm_ard_3-2-1_56JPM_2023-12-31_nrt.stac-item
2024-01-08 09:15:06	ga_s2bm_ard_3-2-1_56JPM_2024-01-07_nrt.stac-item
2024-01-11 09:25:01	ga_s2bm_ard_3-2-1_56JPM_2024-01-10_nrt.stac-item
2024-01-18 09:15:06	ga_s2bm_ard_3-2-1_56JPM_2024-01-17_nrt.stac-item
2024-01-21 09:25:03	ga_s2bm_ard_3-2-1_56JPM_2024-01-20_nrt.stac-item
2024-01-28 09:15:06	ga_s2bm_ard_3-2-1_56JPM_2024-01-27_nrt.stac-item
2024-01-31 09:25:01	ga_s2bm_ard_3-2-1_56JPM_2024-01-30_nrt.stac-item
2024-02-07 09:15:07	ga_s2bm_ard_3-2-1_56JPM_2024-02-06_nrt.stac-item
2024-02-10 09:25:04	ga_s2bm_ard_3-2-1_56JPM_2024-02-09_nrt.stac-item
2024-02-17 09:15:08	ga_s2bm_ard_3-2-1_56JPM_2024-02-16_nrt.stac-item
2024-02-20 09:25:04	ga_s2bm_ard_3-2-1_56JPM_2024-02-19_nrt.stac-item
2024-02-27 09:15:06	ga_s2bm_ard_3-2-1_56JPM_2024-02-26_nrt.stac-item
2024-03-01 09:25:01	ga_s2bm_ard_3-2-1_56JPM_2024-02-29_nrt.stac-item
2024-03-08 09:15:02	ga_s2bm_ard_3-2-1_56JPM_2024-03-07_nrt.stac-item
2024-03-11 09:24:59	ga_s2bm_ard_3-2-1_56JPM_2024-03-10_nrt.stac-item
2024-03-18 09:15:06	ga_s2bm_ard_3-2-1_56JPM_2024-03-17_nrt.stac-item
2024-03-21 09:25:03	ga_s2bm_ard_3-2-1_56JPM_2024-03-20_nrt.stac-item
2024-03-28 09:15:07	ga_s2bm_ard_3-2-1_56JPM_2024-03-27_nrt.stac-item
2024-03-31 09:25:03	ga_s2bm_ard_3-2-1_56JPM_2024-03-30_nrt.stac-item
2024-04-10 09:25:03	ga_s2bm_ard_3-2-1_56JPM_2024-04-09_nrt.stac-item
2024-04-17 09:15:08	ga_s2bm_ard_3-2-1_56JPM_2024-04-16_nrt.stac-item
2024-04-27 09:15:06	ga_s2bm_ard_3-2-1_56JPM_2024-04-26_nrt.stac-item
2024-04-30 09:25:03	ga_s2bm_ard_3-2-1_56JPM_2024-04-29_nrt.stac-item
2024-05-10 09:25:04	ga_s2bm_ard_3-2-1_56JPM_2024-05-09_nrt.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

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