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
2022-04-07 09:48:13	ga_s2bm_ard_3-2-1_55GDQ_2022-04-07_final
2022-04-17 09:48:12	ga_s2bm_ard_3-2-1_55GDQ_2022-04-17_final
2022-04-24 09:38:14	ga_s2bm_ard_3-2-1_55GDQ_2022-04-24_final
2022-04-27 09:48:09	ga_s2bm_ard_3-2-1_55GDQ_2022-04-27_final
2022-05-04 09:38:15	ga_s2bm_ard_3-2-1_55GDQ_2022-05-04_final
2022-05-07 09:48:12	ga_s2bm_ard_3-2-1_55GDQ_2022-05-07_final
2022-05-14 09:38:19	ga_s2bm_ard_3-2-1_55GDQ_2022-05-14_final
2022-05-17 09:48:15	ga_s2bm_ard_3-2-1_55GDQ_2022-05-17_final
2022-05-24 09:38:20	ga_s2bm_ard_3-2-1_55GDQ_2022-05-24_final
2022-06-13 09:38:23	ga_s2bm_ard_3-2-1_55GDQ_2022-06-13_final
2022-06-16 09:48:20	ga_s2bm_ard_3-2-1_55GDQ_2022-06-16_final
2022-06-23 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2022-06-23_final
2022-07-03 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2022-07-03_final
2022-07-13 09:38:24	ga_s2bm_ard_3-2-1_55GDQ_2022-07-13_final
2022-07-16 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2022-07-16_final
2022-07-23 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2022-07-23_final
2022-07-26 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2022-07-26_final
2022-08-02 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2022-08-02_final
2022-08-05 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2022-08-05_final
2022-08-12 09:38:24	ga_s2bm_ard_3-2-1_55GDQ_2022-08-12_final
2022-08-22 09:38:21	ga_s2bm_ard_3-2-1_55GDQ_2022-08-22_final
2022-08-25 09:48:16	ga_s2bm_ard_3-2-1_55GDQ_2022-08-25_final
2023-05-12 09:48:19	ga_s2bm_ard_3-2-1_55GDQ_2023-05-12_final.stac-item
2023-05-19 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-05-19_final.stac-item
2023-05-22 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2023-05-22_final.stac-item
2023-05-29 09:38:24	ga_s2bm_ard_3-2-1_55GDQ_2023-05-29_final.stac-item
2023-06-01 09:48:20	ga_s2bm_ard_3-2-1_55GDQ_2023-06-01_final.stac-item
2023-06-08 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-06-08_final.stac-item
2023-06-11 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2023-06-11_final.stac-item
2023-06-18 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-06-18_final.stac-item
2023-06-21 09:48:20	ga_s2bm_ard_3-2-1_55GDQ_2023-06-21_final.stac-item
2023-06-28 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-06-28_final.stac-item
2023-07-01 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2023-07-01_final.stac-item
2023-07-08 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-07-08_final.stac-item
2023-07-11 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2023-07-11_final.stac-item
2023-07-18 09:38:26	ga_s2bm_ard_3-2-1_55GDQ_2023-07-18_final.stac-item
2023-07-21 09:48:22	ga_s2bm_ard_3-2-1_55GDQ_2023-07-21_final.stac-item
2023-07-28 09:38:26	ga_s2bm_ard_3-2-1_55GDQ_2023-07-28_final.stac-item
2023-07-31 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2023-07-31_final.stac-item
2023-08-07 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-08-07_final.stac-item
2023-08-10 09:48:22	ga_s2bm_ard_3-2-1_55GDQ_2023-08-10_final.stac-item
2023-08-17 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-08-17_final.stac-item
2023-08-20 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2023-08-20_final.stac-item
2023-08-27 09:38:24	ga_s2bm_ard_3-2-1_55GDQ_2023-08-27_final.stac-item
2023-08-30 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2023-08-30_final.stac-item
2023-09-06 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-09-06_final.stac-item
2023-09-09 09:48:20	ga_s2bm_ard_3-2-1_55GDQ_2023-09-09_final.stac-item
2023-09-16 09:38:23	ga_s2bm_ard_3-2-1_55GDQ_2023-09-16_final.stac-item
2023-09-19 09:48:20	ga_s2bm_ard_3-2-1_55GDQ_2023-09-19_final.stac-item
2023-09-26 09:38:23	ga_s2bm_ard_3-2-1_55GDQ_2023-09-26_final.stac-item
2023-09-29 09:48:14	ga_s2bm_ard_3-2-1_55GDQ_2023-09-29_final.stac-item
2023-09-29 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2023-09-29_final.stac-item
2023-10-06 09:38:20	ga_s2bm_ard_3-2-1_55GDQ_2023-10-06_final.stac-item
2023-10-09 09:48:17	ga_s2bm_ard_3-2-1_55GDQ_2023-10-09_final.stac-item
2023-10-16 09:38:22	ga_s2bm_ard_3-2-1_55GDQ_2023-10-16_final.stac-item
2023-10-19 09:48:18	ga_s2bm_ard_3-2-1_55GDQ_2023-10-19_final.stac-item
2023-10-26 09:38:21	ga_s2bm_ard_3-2-1_55GDQ_2023-10-26_final.stac-item
2023-10-29 09:48:18	ga_s2bm_ard_3-2-1_55GDQ_2023-10-29_final.stac-item
2023-11-05 09:38:23	ga_s2bm_ard_3-2-1_55GDQ_2023-11-05_final.stac-item
2023-11-08 09:48:18	ga_s2bm_ard_3-2-1_55GDQ_2023-11-08_final.stac-item
2023-11-15 09:38:20	ga_s2bm_ard_3-2-1_55GDQ_2023-11-15_final.stac-item
2023-11-18 09:48:14	ga_s2bm_ard_3-2-1_55GDQ_2023-11-18_final.stac-item
2023-11-25 09:38:15	ga_s2bm_ard_3-2-1_55GDQ_2023-11-25_final.stac-item
2023-11-28 09:48:13	ga_s2bm_ard_3-2-1_55GDQ_2023-11-28_final.stac-item
2023-12-08 09:48:13	ga_s2bm_ard_3-2-1_55GDQ_2023-12-08_final.stac-item
2023-12-15 09:38:19	ga_s2bm_ard_3-2-1_55GDQ_2023-12-15_final.stac-item
2023-12-18 09:48:16	ga_s2bm_ard_3-2-1_55GDQ_2023-12-18_final.stac-item
2023-12-25 09:38:21	ga_s2bm_ard_3-2-1_55GDQ_2023-12-25_final.stac-item
2023-12-28 09:48:17	ga_s2bm_ard_3-2-1_55GDQ_2023-12-28_final.stac-item
2024-01-04 09:38:20	ga_s2bm_ard_3-2-1_55GDQ_2024-01-04_final.stac-item
2024-01-07 09:48:16	ga_s2bm_ard_3-2-1_55GDQ_2024-01-07_final.stac-item
2024-01-14 09:38:18	ga_s2bm_ard_3-2-1_55GDQ_2024-01-14_final.stac-item
2024-01-17 09:46:58	ga_s2bm_ard_3-2-1_55HDV_2024-01-17_final.stac-item
2024-01-17 09:48:15	ga_s2bm_ard_3-2-1_55GDQ_2024-01-17_final.stac-item
2024-01-24 09:38:19	ga_s2bm_ard_3-2-1_55GDQ_2024-01-24_final.stac-item
2024-01-27 09:48:15	ga_s2bm_ard_3-2-1_55GDQ_2024-01-27_final.stac-item
2024-02-03 09:38:17	ga_s2bm_ard_3-2-1_55GDQ_2024-02-03_final.stac-item
2024-02-06 09:48:15	ga_s2bm_ard_3-2-1_55GDQ_2024-02-06_final.stac-item
2024-02-13 09:38:21	ga_s2bm_ard_3-2-1_55GDQ_2024-02-13_final.stac-item
2024-02-16 09:48:17	ga_s2bm_ard_3-2-1_55GDQ_2024-02-16_final.stac-item
2024-02-23 09:38:20	ga_s2bm_ard_3-2-1_55GDQ_2024-02-23_final.stac-item
2024-02-26 09:48:16	ga_s2bm_ard_3-2-1_55GDQ_2024-02-26_final.stac-item
2024-03-04 09:38:16	ga_s2bm_ard_3-2-1_55GDQ_2024-03-04_final.stac-item
2024-03-07 09:48:11	ga_s2bm_ard_3-2-1_55GDQ_2024-03-07_final.stac-item
2024-03-14 09:38:18	ga_s2bm_ard_3-2-1_55GDQ_2024-03-14_final.stac-item
2024-03-17 09:48:15	ga_s2bm_ard_3-2-1_55GDQ_2024-03-17_final.stac-item
2024-03-24 09:38:20	ga_s2bm_ard_3-2-1_55GDQ_2024-03-24_final.stac-item
2024-03-27 09:48:16	ga_s2bm_ard_3-2-1_55GDQ_2024-03-27_final.stac-item
2024-04-03 09:38:18	ga_s2bm_ard_3-2-1_55GDQ_2024-04-03_final.stac-item
2024-04-06 09:48:14	ga_s2bm_ard_3-2-1_55GDQ_2024-04-06_final.stac-item
2024-04-13 09:38:21	ga_s2bm_ard_3-2-1_55GDQ_2024-04-13_final.stac-item
2024-04-16 09:48:17	ga_s2bm_ard_3-2-1_55GDQ_2024-04-16_final.stac-item
2024-04-23 09:38:20	ga_s2bm_ard_3-2-1_55GDQ_2024-04-23_final.stac-item
2024-04-26 09:48:15	ga_s2bm_ard_3-2-1_55GDQ_2024-04-26_final.stac-item
2024-05-03 09:38:20	ga_s2bm_ard_3-2-1_55GDQ_2024-05-03_final.stac-item
2024-05-06 09:48:17	ga_s2bm_ard_3-2-1_55GDQ_2024-05-06_final.stac-item
2024-05-13 09:38:20	ga_s2bm_ard_3-2-1_55GDQ_2024-05-13_final.stac-item
2024-05-16 09:48:14	ga_s2bm_ard_3-2-1_55GDQ_2024-05-16_final.stac-item
2024-05-23 09:38:20	ga_s2bm_ard_3-2-1_55GDQ_2024-05-23_nrt.stac-item
2024-05-26 09:48:16	ga_s2bm_ard_3-2-1_55GDQ_2024-05-26_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

Other products

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