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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KGQ_2017-07-04_final
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2017-07-17_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2017-08-06_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2017-08-13_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KGQ_2017-08-26_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KGQ_2017-09-15_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-10-25_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-11-04_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-11-14_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-11-24_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-12-14_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KGQ_2018-01-10_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KGQ_2018-01-20_final
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KGQ_2018-01-23_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49KGQ_2018-01-30_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49KGQ_2018-02-02_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KGQ_2018-02-12_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-02-22_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGQ_2018-03-04_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-03-14_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGQ_2018-03-24_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-04-03_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-04-13_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-04-23_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-05-03_final
2018-05-13 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-05-13_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2018-05-13_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-05-23_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49KGQ_2018-06-02_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-06-12_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-06-22_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2018-06-22_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-07-02_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-07-12_final
2018-07-22 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-07-22_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KGQ_2018-07-22_final
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49KGQ_2018-08-01_final
2021-06-13 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2021-06-13_final
2021-06-16 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-06-16_final
2021-06-23 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-06-23_final
2021-06-26 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-06-26_final
2021-07-03 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2021-07-03_final
2021-07-06 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-07-06_final
2021-07-13 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2021-07-13_final
2021-07-16 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2021-07-16_final
2021-07-23 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2021-07-23_final
2021-07-26 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2021-07-26_final
2021-08-02 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2021-08-02_final
2021-08-05 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-08-05_final
2021-08-15 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-08-15_final
2021-08-25 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-08-25_final
2021-09-04 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2021-09-04_final
2021-09-14 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2021-09-14_final
2021-09-21 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2021-09-21_final
2021-09-24 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-09-24_final
2021-10-01 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2021-10-01_final
2021-10-04 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-10-04_final
2021-10-11 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2021-10-11_final
2021-10-14 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-10-14_final
2021-10-21 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-10-21_final
2021-10-24 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-10-24_final
2021-10-31 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-10-31_final
2021-11-03 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-11-03_final
2021-11-10 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-11-10_final
2021-11-13 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-11-13_final
2021-11-23 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2021-11-23_final
2021-12-03 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-12-03_final
2021-12-13 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2021-12-13_final
2021-12-20 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2021-12-20_final
2021-12-23 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-12-23_final
2021-12-30 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2021-12-30_final
2023-10-21 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-21_final.stac-item
2023-11-03 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-11-03_final.stac-item
2023-11-10 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-11-10_final.stac-item
2023-11-13 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2023-11-13_final.stac-item
2023-11-23 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2023-11-23_final.stac-item
2023-11-30 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-11-30_final.stac-item
2023-12-03 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-12-03_final.stac-item
2023-12-13 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-12-13_final.stac-item
2023-12-20 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2023-12-20_final.stac-item
2023-12-23 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2023-12-23_final.stac-item
2023-12-30 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2023-12-30_final.stac-item
2024-01-02 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-01-02_final.stac-item
2024-01-12 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2024-01-12_final.stac-item
2024-01-22 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2024-01-22_final.stac-item
2024-02-01 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2024-02-01_final.stac-item
2024-02-11 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-02-11_final.stac-item
2024-02-21 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2024-02-21_final.stac-item
2024-02-21 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2024-02-21_final.stac-item
2024-03-02 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2024-03-02_final.stac-item
2024-03-12 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2024-03-12_final.stac-item
2024-03-22 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-03-22_final.stac-item
2024-04-01 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2024-04-01_final.stac-item
2024-04-11 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-04-11_final.stac-item
2024-04-18 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2024-04-18_final.stac-item
2024-04-21 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-04-21_final.stac-item
2024-05-01 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-05-01_final.stac-item
2024-05-08 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2024-05-08_final.stac-item
2024-05-11 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-05-11_final.stac-item
2024-05-21 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2024-05-21_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

All years