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
2021-12-18 11:25:18	ga_s2bm_ard_3-2-1_51JXJ_2021-12-18_final
2021-12-25 11:15:25	ga_s2bm_ard_3-2-1_51JXJ_2021-12-25_final
2021-12-28 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2021-12-28_final
2022-01-04 11:15:25	ga_s2bm_ard_3-2-1_51JXJ_2022-01-04_final
2022-01-07 11:25:14	ga_s2bm_ard_3-2-1_51JXJ_2022-01-07_final
2022-01-07 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2022-01-07_final
2022-01-17 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2022-01-17_final
2022-01-27 11:25:18	ga_s2bm_ard_3-2-1_51JXJ_2022-01-27_final
2022-02-06 11:25:18	ga_s2bm_ard_3-2-1_51JXJ_2022-02-06_final
2022-02-16 11:25:18	ga_s2bm_ard_3-2-1_51JXJ_2022-02-16_final
2022-02-26 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2022-02-26_final
2022-03-08 11:25:16	ga_s2bm_ard_3-2-1_51JXJ_2022-03-08_final
2022-03-08 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-03-08_final
2022-03-18 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2022-03-18_final
2022-03-28 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2022-03-28_final
2022-04-07 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2022-04-07_final
2022-04-17 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2022-04-17_final
2022-04-27 11:25:17	ga_s2bm_ard_3-2-1_51JXJ_2022-04-27_final
2022-05-07 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2022-05-07_final
2022-05-14 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2022-05-14_final
2022-05-17 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-05-17_final
2022-05-24 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2022-05-24_final
2022-05-27 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2022-05-27_final
2022-06-06 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2022-06-06_final
2022-06-13 11:15:32	ga_s2bm_ard_3-2-1_51JXJ_2022-06-13_final
2022-06-16 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2022-06-16_final
2022-06-23 11:15:34	ga_s2bm_ard_3-2-1_51JXJ_2022-06-23_final
2022-06-26 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2022-06-26_final
2022-07-03 11:15:34	ga_s2bm_ard_3-2-1_51JXJ_2022-07-03_final
2022-07-06 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2022-07-06_final
2022-07-13 11:15:34	ga_s2bm_ard_3-2-1_51JXJ_2022-07-13_final
2022-07-16 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2022-07-16_final
2022-07-23 11:15:34	ga_s2bm_ard_3-2-1_51JXJ_2022-07-23_final
2022-07-26 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2022-07-26_final
2022-08-05 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2022-08-05_final
2022-08-15 11:25:27	ga_s2bm_ard_3-2-1_51JXJ_2022-08-15_final
2022-08-25 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2022-08-25_final
2022-09-04 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2022-09-04_final.stac-item
2022-09-14 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2022-09-14_final.stac-item
2022-09-24 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2022-09-24_final.stac-item
2022-10-04 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2022-10-04_final.stac-item
2022-10-14 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-10-14_final.stac-item
2022-10-24 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-10-24_final.stac-item
2022-11-03 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2022-11-03_final.stac-item
2022-11-13 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2022-11-13_final.stac-item
2022-11-20 11:15:29	ga_s2bm_ard_3-2-1_51JXJ_2022-11-20_final.stac-item
2022-11-23 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2022-11-23_final.stac-item
2022-12-03 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2022-12-03_final.stac-item
2022-12-20 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2022-12-20_final.stac-item
2022-12-20 11:15:33	ga_s2bm_ard_3-2-1_51JXJ_2022-12-20_final.stac-item
2022-12-23 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-12-23_final.stac-item
2023-01-02 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2023-01-02_final.stac-item
2023-01-12 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2023-01-12_final.stac-item
2023-01-22 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2023-01-22_final.stac-item
2023-02-01 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2023-02-01_final.stac-item
2023-02-11 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2023-02-11_final.stac-item
2023-02-21 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2023-02-21_final.stac-item
2023-03-03 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2023-03-03_final.stac-item
2023-03-10 11:15:33	ga_s2bm_ard_3-2-1_51JXJ_2023-03-10_final.stac-item
2023-03-13 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2023-03-13_final.stac-item
2023-03-23 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2023-03-23_final.stac-item
2023-04-02 11:25:27	ga_s2bm_ard_3-2-1_51JXJ_2023-04-02_final.stac-item
2023-04-12 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2023-04-12_final.stac-item
2023-04-22 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2023-04-22_final.stac-item
2023-04-29 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2023-04-29_final.stac-item
2023-05-02 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2023-05-02_final.stac-item
2023-05-09 11:15:32	ga_s2bm_ard_3-2-1_51JXJ_2023-05-09_final.stac-item
2023-05-12 11:25:18	ga_s2bm_ard_3-2-1_51JXJ_2023-05-12_final.stac-item
2023-05-12 11:25:27	ga_s2bm_ard_3-2-1_51JXJ_2023-05-12_final.stac-item
2023-09-16 11:15:32	ga_s2bm_ard_3-2-1_51JXJ_2023-09-16_final.stac-item
2023-09-19 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2023-09-19_final.stac-item
2023-09-19 11:26:14	ga_s2bm_ard_3-2-1_51JXF_2023-09-19_final.stac-item
2023-09-26 11:15:33	ga_s2bm_ard_3-2-1_51JXJ_2023-09-26_final.stac-item
2023-09-29 11:25:27	ga_s2bm_ard_3-2-1_51JXJ_2023-09-29_final.stac-item
2023-10-09 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2023-10-09_final.stac-item
2023-10-19 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2023-10-19_final.stac-item
2023-10-29 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2023-10-29_final.stac-item
2023-11-05 11:15:32	ga_s2bm_ard_3-2-1_51JXJ_2023-11-05_final.stac-item
2023-11-08 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2023-11-08_final.stac-item
2023-11-18 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2023-11-18_final.stac-item
2023-11-28 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2023-11-28_final.stac-item
2023-12-08 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2023-12-08_final.stac-item
2023-12-18 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2023-12-18_final.stac-item
2023-12-25 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2023-12-25_final.stac-item
2023-12-28 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2023-12-28_final.stac-item
2024-01-04 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2024-01-04_final.stac-item
2024-01-07 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2024-01-07_final.stac-item
2024-01-17 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2024-01-17_final.stac-item
2024-01-27 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2024-01-27_final.stac-item
2024-02-06 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2024-02-06_final.stac-item
2024-02-16 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2024-02-16_final.stac-item
2024-02-26 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2024-02-26_final.stac-item
2024-03-07 11:25:19	ga_s2bm_ard_3-2-1_51JXJ_2024-03-07_final.stac-item
2024-03-17 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2024-03-17_final.stac-item
2024-03-27 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2024-03-27_final.stac-item
2024-03-27 11:26:13	ga_s2bm_ard_3-2-1_51JXF_2024-03-27_final.stac-item
2024-04-06 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2024-04-06_final.stac-item
2024-04-16 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2024-04-16_final.stac-item
2024-04-26 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2024-04-26_final.stac-item
2024-05-03 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2024-05-03_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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