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
2020-03-07 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2020-03-07_final.stac-item
2021-03-12 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2021-03-12_final
2021-03-22 11:53:54	ga_s2bm_ard_3-2-1_50KQV_2021-03-22_final
2021-03-22 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2021-03-22_final
2021-04-21 11:53:50	ga_s2bm_ard_3-2-1_50KQV_2021-04-21_final
2021-04-21 11:53:52	ga_s2bm_ard_3-2-1_50KQV_2021-04-21_final
2021-05-21 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2021-05-21_final
2021-06-20 11:53:56	ga_s2bm_ard_3-2-1_50KQV_2021-06-20_final
2021-07-10 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2021-07-10_final
2021-08-19 11:53:55	ga_s2bm_ard_3-2-1_50KQV_2021-08-19_final
2021-10-08 11:53:58	ga_s2bm_ard_3-2-1_50KQV_2021-10-08_final
2021-10-18 11:53:58	ga_s2bm_ard_3-2-1_50KQV_2021-10-18_final
2021-11-24 11:43:58	ga_s2bm_ard_3-2-1_50KQV_2021-11-24_final
2021-12-17 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2021-12-17_final.stac-item
2022-04-06 11:53:55	ga_s2bm_ard_3-2-1_50KQV_2022-04-06_final
2022-04-16 11:53:53	ga_s2bm_ard_3-2-1_50KQV_2022-04-16_final
2022-05-06 11:53:54	ga_s2bm_ard_3-2-1_50KQV_2022-05-06_final
2022-05-16 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2022-05-16_final
2022-05-26 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2022-05-26_final
2022-07-05 11:54:03	ga_s2bm_ard_3-2-1_50KQV_2022-07-05_final
2022-07-15 11:54:03	ga_s2bm_ard_3-2-1_50KQV_2022-07-15_final
2022-07-25 11:54:02	ga_s2bm_ard_3-2-1_50KQV_2022-07-25_final
2022-08-04 11:54:02	ga_s2bm_ard_3-2-1_50KQV_2022-08-04_final
2022-08-14 11:54:00	ga_s2bm_ard_3-2-1_50KQV_2022-08-14_final
2022-08-24 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2022-08-24_final
2022-09-13 11:54:00	ga_s2bm_ard_3-2-1_50KQV_2022-09-13_final.stac-item
2022-12-09 11:46:11	ga_s2bm_ard_3-2-1_50JQL_2022-12-09_final.stac-item
2023-01-18 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2023-01-18_final.stac-item
2023-01-28 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2023-01-28_final.stac-item
2023-02-07 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2023-02-07_final.stac-item
2023-02-17 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2023-02-17_final.stac-item
2023-02-24 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2023-02-24_final.stac-item
2023-02-27 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2023-02-27_final.stac-item
2023-03-06 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2023-03-06_final.stac-item
2023-03-09 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2023-03-09_final.stac-item
2023-03-16 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-03-16_final.stac-item
2023-03-19 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2023-03-19_final.stac-item
2023-03-26 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2023-03-26_final.stac-item
2023-03-29 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-03-29_final.stac-item
2023-04-05 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-04-05_final.stac-item
2023-04-08 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-04-08_final.stac-item
2023-04-15 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2023-04-15_final.stac-item
2023-04-25 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2023-04-25_final.stac-item
2023-04-28 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2023-04-28_final.stac-item
2023-05-05 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2023-05-05_final.stac-item
2023-05-08 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-05-08_final.stac-item
2023-05-15 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-05-15_final.stac-item
2023-05-18 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-05-18_final.stac-item
2023-05-25 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-05-25_final.stac-item
2023-05-28 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-05-28_final.stac-item
2023-06-04 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-06-04_final.stac-item
2023-06-07 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-06-07_final.stac-item
2023-06-14 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2023-06-14_final.stac-item
2023-06-17 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-06-17_final.stac-item
2023-06-24 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-06-24_final.stac-item
2023-06-27 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-06-27_final.stac-item
2023-07-04 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2023-07-04_final.stac-item
2023-07-07 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-07-07_final.stac-item
2023-07-14 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-07-14_final.stac-item
2023-07-17 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-07-17_final.stac-item
2023-07-24 11:36:26	ga_s2bm_ard_3-2-1_50JQL_2023-07-24_final.stac-item
2023-07-27 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-07-27_final.stac-item
2023-08-03 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-08-03_final.stac-item
2023-08-06 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-08-06_final.stac-item
2023-08-13 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2023-08-13_final.stac-item
2023-08-13 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2023-08-13_final.stac-item
2023-08-13 11:36:32	ga_s2bm_ard_3-2-1_50JQL_2023-08-13_final.stac-item
2023-08-16 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-08-16_final.stac-item
2023-08-23 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-08-23_final.stac-item
2023-08-23 11:36:31	ga_s2bm_ard_3-2-1_50JQL_2023-08-23_final.stac-item
2023-08-26 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2023-08-26_final.stac-item
2023-09-02 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2023-09-02_final.stac-item
2023-09-05 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-09-05_final.stac-item
2023-09-12 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-09-12_final.stac-item
2023-09-15 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-09-15_final.stac-item
2023-09-22 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-09-22_final.stac-item
2023-09-25 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2023-09-25_final.stac-item
2023-10-02 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2023-10-02_final.stac-item
2023-10-05 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2023-10-05_final.stac-item
2023-10-12 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2023-10-12_final.stac-item
2023-10-15 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-10-15_final.stac-item
2023-10-22 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2023-10-22_final.stac-item
2023-10-25 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2023-10-25_final.stac-item
2023-11-01 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2023-11-01_final.stac-item
2023-11-04 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-11-04_final.stac-item
2023-11-11 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2023-11-11_final.stac-item
2023-11-14 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2023-11-14_final.stac-item
2023-11-21 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2023-11-21_final.stac-item
2023-11-24 11:46:10	ga_s2bm_ard_3-2-1_50JQL_2023-11-24_final.stac-item
2023-12-01 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2023-12-01_final.stac-item
2023-12-04 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2023-12-04_final.stac-item
2023-12-11 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2023-12-11_final.stac-item
2023-12-14 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2023-12-14_final.stac-item
2023-12-21 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2023-12-21_final.stac-item
2023-12-24 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2023-12-24_final.stac-item
2023-12-31 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2023-12-31_final.stac-item
2024-01-10 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2024-01-10_final.stac-item
2024-01-13 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2024-01-13_final.stac-item
2024-02-02 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2024-02-02_final.stac-item
2024-02-22 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2024-02-22_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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