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
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51JTK_2018-03-22_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JTK_2018-04-01_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JTK_2018-04-11_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JTK_2018-04-21_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51JTK_2018-05-11_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51JTK_2018-05-21_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51JTK_2018-05-31_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51JTK_2018-06-10_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51JTK_2018-06-20_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51JTK_2018-06-30_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51JTK_2018-07-10_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51JTK_2018-07-30_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51JTK_2018-08-09_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51JTK_2018-08-19_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_51JTK_2018-08-19_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JTK_2018-08-29_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51JTK_2018-09-08_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51JTK_2018-09-18_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51JTK_2018-09-28_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51JTK_2018-10-08_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51JTK_2018-10-28_final
2018-11-07 11:35:16	ga_s2bm_ard_3-2-1_51JTK_2018-11-07_final
2018-11-17 11:35:16	ga_s2bm_ard_3-2-1_51JTK_2018-11-17_final
2018-11-17 11:35:24	ga_s2bm_ard_3-2-1_51JTK_2018-11-17_final
2018-11-27 11:35:15	ga_s2bm_ard_3-2-1_51JTK_2018-11-27_final
2018-12-07 11:35:13	ga_s2bm_ard_3-2-1_51JTK_2018-12-07_final
2018-12-17 11:35:13	ga_s2bm_ard_3-2-1_51JTK_2018-12-17_final
2018-12-27 11:35:15	ga_s2bm_ard_3-2-1_51JTK_2018-12-27_final
2019-01-06 11:35:17	ga_s2bm_ard_3-2-1_51JTK_2019-01-06_final
2019-01-16 11:35:18	ga_s2bm_ard_3-2-1_51JTK_2019-01-16_final
2019-01-26 11:35:19	ga_s2bm_ard_3-2-1_51JTK_2019-01-26_final
2019-02-05 11:35:19	ga_s2bm_ard_3-2-1_51JTK_2019-02-05_final
2019-02-25 11:35:18	ga_s2bm_ard_3-2-1_51JTK_2019-02-25_final
2019-02-28 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2019-02-28_final
2019-03-10 11:45:12	ga_s2bm_ard_3-2-1_51JTK_2019-03-10_final
2019-03-17 11:35:17	ga_s2bm_ard_3-2-1_51JTK_2019-03-17_final
2019-03-20 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2019-03-20_final
2019-03-27 11:35:20	ga_s2bm_ard_3-2-1_51JTK_2019-03-27_final
2019-03-30 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2019-03-30_final
2019-04-06 11:35:22	ga_s2bm_ard_3-2-1_51JTK_2019-04-06_final
2019-04-09 11:45:18	ga_s2bm_ard_3-2-1_51JTK_2019-04-09_final
2019-04-16 11:35:24	ga_s2bm_ard_3-2-1_51JTK_2019-04-16_final
2019-04-19 11:45:20	ga_s2bm_ard_3-2-1_51JTK_2019-04-19_final
2019-04-26 11:35:31	ga_s2bm_ard_3-2-1_51JTK_2019-04-26_final
2019-04-29 11:45:22	ga_s2bm_ard_3-2-1_51JTK_2019-04-29_final
2019-05-06 11:35:27	ga_s2bm_ard_3-2-1_51JTK_2019-05-06_final
2019-05-09 11:45:22	ga_s2bm_ard_3-2-1_51JTK_2019-05-09_final
2019-05-16 11:35:27	ga_s2bm_ard_3-2-1_51JTK_2019-05-16_final
2019-05-19 11:45:23	ga_s2bm_ard_3-2-1_51JTK_2019-05-19_final
2019-05-26 11:35:27	ga_s2bm_ard_3-2-1_51JTK_2019-05-26_final
2019-05-29 11:45:23	ga_s2bm_ard_3-2-1_51JTK_2019-05-29_final
2019-06-08 11:45:22	ga_s2bm_ard_3-2-1_51JTK_2019-06-08_final
2019-06-18 11:45:22	ga_s2bm_ard_3-2-1_51JTK_2019-06-18_final
2019-06-28 11:45:23	ga_s2bm_ard_3-2-1_51JTK_2019-06-28_final
2019-07-08 11:45:23	ga_s2bm_ard_3-2-1_51JTK_2019-07-08_final
2019-07-18 11:45:23	ga_s2bm_ard_3-2-1_51JTK_2019-07-18_final
2019-07-28 11:45:22	ga_s2bm_ard_3-2-1_51JTK_2019-07-28_final
2019-08-07 11:45:22	ga_s2bm_ard_3-2-1_51JTK_2019-08-07_final
2019-08-17 11:45:20	ga_s2bm_ard_3-2-1_51JTK_2019-08-17_final
2019-08-27 11:45:19	ga_s2bm_ard_3-2-1_51JTK_2019-08-27_final
2019-09-06 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2019-09-06_final
2019-09-16 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2019-09-16_final
2019-09-26 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2019-09-26_final
2019-10-06 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2019-10-06_final
2019-10-16 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2019-10-16_final
2019-10-26 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2019-10-26_final
2019-11-05 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2019-11-05_final
2019-11-15 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2019-11-15_final
2019-11-25 11:45:11	ga_s2bm_ard_3-2-1_51JTK_2019-11-25_final
2019-12-05 11:45:08	ga_s2bm_ard_3-2-1_51JTK_2019-12-05_final
2020-01-04 11:45:09	ga_s2bm_ard_3-2-1_51JTK_2020-01-04_final
2020-01-14 11:45:09	ga_s2bm_ard_3-2-1_51JTK_2020-01-14_final
2020-01-24 11:45:07	ga_s2bm_ard_3-2-1_51JTK_2020-01-24_final
2020-04-03 11:45:11	ga_s2bm_ard_3-2-1_51JTK_2020-04-03_final
2020-04-13 11:45:10	ga_s2bm_ard_3-2-1_51JTK_2020-04-13_final
2020-04-23 11:45:09	ga_s2bm_ard_3-2-1_51JTK_2020-04-23_final
2020-05-03 11:45:11	ga_s2bm_ard_3-2-1_51JTK_2020-05-03_final
2020-06-22 11:45:17	ga_s2bm_ard_3-2-1_51JTK_2020-06-22_final
2020-07-12 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2020-07-12_final
2020-07-22 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2020-07-22_final
2020-08-11 11:45:18	ga_s2bm_ard_3-2-1_51JTK_2020-08-11_final
2020-08-21 11:45:18	ga_s2bm_ard_3-2-1_51JTK_2020-08-21_final
2021-04-18 11:45:09	ga_s2bm_ard_3-2-1_51JTK_2021-04-18_final
2021-05-28 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2021-05-28_final
2021-07-27 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2021-07-27_final
2021-08-06 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2021-08-06_final
2021-09-05 11:45:11	ga_s2bm_ard_3-2-1_51JTK_2021-09-05_final
2021-10-15 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2021-10-15_final
2021-11-04 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2021-11-04_final
2021-11-24 11:45:10	ga_s2bm_ard_3-2-1_51JTK_2021-11-24_final
2023-09-25 11:45:18	ga_s2bm_ard_3-2-1_51JTK_2023-09-25_final.stac-item
2023-10-15 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2023-10-15_final.stac-item
2023-11-04 11:45:17	ga_s2bm_ard_3-2-1_51JTK_2023-11-04_final.stac-item
2023-11-14 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2023-11-14_final.stac-item
2023-11-24 11:45:09	ga_s2bm_ard_3-2-1_51JTK_2023-11-24_final.stac-item
2023-12-14 11:45:12	ga_s2bm_ard_3-2-1_51JTK_2023-12-14_final.stac-item
2024-01-03 11:45:15	ga_s2bm_ard_3-2-1_51JTK_2024-01-03_final.stac-item
2024-01-13 11:45:12	ga_s2bm_ard_3-2-1_51JTK_2024-01-13_final.stac-item
2024-01-23 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2024-01-23_final.stac-item
2024-02-02 11:45:11	ga_s2bm_ard_3-2-1_51JTK_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

All years