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
2020-12-02 10:16:38	ga_s2bm_ard_3-2-1_54HWG_2020-12-02_final
2020-12-09 10:06:40	ga_s2bm_ard_3-2-1_54HWG_2020-12-09_final
2020-12-12 10:16:36	ga_s2bm_ard_3-2-1_54HWG_2020-12-12_final
2020-12-19 10:06:38	ga_s2bm_ard_3-2-1_54HWG_2020-12-19_final
2020-12-22 10:16:35	ga_s2bm_ard_3-2-1_54HWG_2020-12-22_final
2020-12-29 10:06:40	ga_s2bm_ard_3-2-1_54HWG_2020-12-29_final
2021-01-01 10:16:37	ga_s2bm_ard_3-2-1_54HWG_2021-01-01_final
2021-01-08 10:06:42	ga_s2bm_ard_3-2-1_54HWG_2021-01-08_final
2021-01-11 10:16:38	ga_s2bm_ard_3-2-1_54HWG_2021-01-11_final
2021-01-18 10:06:42	ga_s2bm_ard_3-2-1_54HWG_2021-01-18_final
2021-01-21 10:16:38	ga_s2bm_ard_3-2-1_54HWG_2021-01-21_final
2021-01-28 10:06:42	ga_s2bm_ard_3-2-1_54HWG_2021-01-28_final
2021-01-31 10:16:38	ga_s2bm_ard_3-2-1_54HWG_2021-01-31_final
2021-02-07 10:06:42	ga_s2bm_ard_3-2-1_54HWG_2021-02-07_final
2021-02-10 10:16:37	ga_s2bm_ard_3-2-1_54HWG_2021-02-10_final
2021-02-17 10:06:40	ga_s2bm_ard_3-2-1_54HWG_2021-02-17_final
2021-02-20 10:16:36	ga_s2bm_ard_3-2-1_54HWG_2021-02-20_final
2021-02-27 10:06:41	ga_s2bm_ard_3-2-1_54HWG_2021-02-27_final
2021-03-02 10:16:37	ga_s2bm_ard_3-2-1_54HWG_2021-03-02_final
2021-03-09 10:06:42	ga_s2bm_ard_3-2-1_54HWG_2021-03-09_final
2021-03-12 10:16:38	ga_s2bm_ard_3-2-1_54HWG_2021-03-12_final
2021-03-19 10:06:35	ga_s2bm_ard_3-2-1_54HWG_2021-03-19_final
2021-03-19 10:06:42	ga_s2bm_ard_3-2-1_54HWG_2021-03-19_final
2021-03-22 10:16:38	ga_s2bm_ard_3-2-1_54HWG_2021-03-22_final
2021-03-29 10:06:34	ga_s2bm_ard_3-2-1_54HWG_2021-03-29_final
2021-03-29 10:06:41	ga_s2bm_ard_3-2-1_54HWG_2021-03-29_final
2021-04-01 10:16:37	ga_s2bm_ard_3-2-1_54HWG_2021-04-01_final
2021-04-08 10:06:33	ga_s2bm_ard_3-2-1_54HWG_2021-04-08_final
2021-04-08 10:06:40	ga_s2bm_ard_3-2-1_54HWG_2021-04-08_final
2021-04-11 10:16:35	ga_s2bm_ard_3-2-1_54HWG_2021-04-11_final
2021-04-18 10:06:31	ga_s2bm_ard_3-2-1_54HWG_2021-04-18_final
2021-04-18 10:06:38	ga_s2bm_ard_3-2-1_54HWG_2021-04-18_final
2021-04-21 10:16:33	ga_s2bm_ard_3-2-1_54HWG_2021-04-21_final
2021-04-28 10:06:31	ga_s2bm_ard_3-2-1_54HWG_2021-04-28_final
2021-04-28 10:06:38	ga_s2bm_ard_3-2-1_54HWG_2021-04-28_final
2021-05-01 10:16:35	ga_s2bm_ard_3-2-1_54HWG_2021-05-01_final
2021-05-08 10:06:33	ga_s2bm_ard_3-2-1_54HWG_2021-05-08_final
2021-05-08 10:06:40	ga_s2bm_ard_3-2-1_54HWG_2021-05-08_final
2021-05-11 10:16:37	ga_s2bm_ard_3-2-1_54HWG_2021-05-11_final
2021-05-18 10:06:35	ga_s2bm_ard_3-2-1_54HWG_2021-05-18_final
2021-05-18 10:06:42	ga_s2bm_ard_3-2-1_54HWG_2021-05-18_final
2021-05-21 10:16:39	ga_s2bm_ard_3-2-1_54HWG_2021-05-21_final
2021-05-28 10:06:36	ga_s2bm_ard_3-2-1_54HWG_2021-05-28_final
2021-05-28 10:06:43	ga_s2bm_ard_3-2-1_54HWG_2021-05-28_final
2021-05-31 10:16:39	ga_s2bm_ard_3-2-1_54HWG_2021-05-31_final
2021-06-07 10:06:36	ga_s2bm_ard_3-2-1_54HWG_2021-06-07_final
2021-06-07 10:06:44	ga_s2bm_ard_3-2-1_54HWG_2021-06-07_final
2021-06-10 10:16:40	ga_s2bm_ard_3-2-1_54HWG_2021-06-10_final
2021-06-17 10:06:36	ga_s2bm_ard_3-2-1_54HWG_2021-06-17_final
2023-02-03 10:24:18	ga_s2bm_ard_3-2-1_54JWR_2023-02-03_final.stac-item
2023-03-05 10:24:24	ga_s2bm_ard_3-2-1_54JWR_2023-03-05_final.stac-item
2023-04-14 10:24:21	ga_s2bm_ard_3-2-1_54JWR_2023-04-14_final.stac-item
2023-05-04 10:24:22	ga_s2bm_ard_3-2-1_54JVR_2023-05-04_final.stac-item
2023-06-13 10:24:22	ga_s2bm_ard_3-2-1_54JWS_2023-06-13_final.stac-item
2023-06-23 10:24:25	ga_s2bm_ard_3-2-1_54JWR_2023-06-23_final.stac-item
2023-07-17 10:07:17	ga_s2bm_ard_3-2-1_54HWE_2023-07-17_final.stac-item
2023-07-20 10:17:09	ga_s2bm_ard_3-2-1_54HWE_2023-07-20_final.stac-item
2023-07-23 10:24:23	ga_s2bm_ard_3-2-1_54JWR_2023-07-23_final.stac-item
2023-07-23 10:24:27	ga_s2bm_ard_3-2-1_54JWR_2023-07-23_final.stac-item
2023-07-27 10:07:17	ga_s2bm_ard_3-2-1_54HWE_2023-07-27_final.stac-item
2023-07-30 10:17:09	ga_s2bm_ard_3-2-1_54HWE_2023-07-30_final.stac-item
2023-08-02 10:24:22	ga_s2bm_ard_3-2-1_54JWR_2023-08-02_final.stac-item
2023-08-06 10:07:17	ga_s2bm_ard_3-2-1_54HWE_2023-08-06_final.stac-item
2023-08-12 10:24:26	ga_s2bm_ard_3-2-1_54JWR_2023-08-12_final.stac-item
2023-08-16 10:07:17	ga_s2bm_ard_3-2-1_54HWE_2023-08-16_final.stac-item
2023-08-26 10:07:16	ga_s2bm_ard_3-2-1_54HWE_2023-08-26_final.stac-item
2023-09-01 10:24:25	ga_s2bm_ard_3-2-1_54JWR_2023-09-01_final.stac-item
2023-09-05 10:07:16	ga_s2bm_ard_3-2-1_54HWE_2023-09-05_final.stac-item
2023-09-15 10:07:14	ga_s2bm_ard_3-2-1_54HWE_2023-09-15_final.stac-item
2023-09-21 10:24:24	ga_s2bm_ard_3-2-1_54JWR_2023-09-21_final.stac-item
2023-09-25 10:07:15	ga_s2bm_ard_3-2-1_54HWE_2023-09-25_final.stac-item
2023-09-28 10:17:06	ga_s2bm_ard_3-2-1_54HWE_2023-09-28_final.stac-item
2023-10-05 10:07:12	ga_s2bm_ard_3-2-1_54HWE_2023-10-05_final.stac-item
2023-10-11 10:24:21	ga_s2bm_ard_3-2-1_54JVR_2023-10-11_final.stac-item
2023-10-11 10:24:23	ga_s2bm_ard_3-2-1_54JWR_2023-10-11_final.stac-item
2023-10-15 10:07:14	ga_s2bm_ard_3-2-1_54HWE_2023-10-15_final.stac-item
2023-10-18 10:17:06	ga_s2bm_ard_3-2-1_54HWE_2023-10-18_final.stac-item
2023-10-21 10:24:19	ga_s2bm_ard_3-2-1_54JWR_2023-10-21_final.stac-item
2023-10-21 10:24:23	ga_s2bm_ard_3-2-1_54JWR_2023-10-21_final.stac-item
2023-10-25 10:07:12	ga_s2bm_ard_3-2-1_54HWE_2023-10-25_final.stac-item
2023-10-28 10:17:05	ga_s2bm_ard_3-2-1_54HWE_2023-10-28_final.stac-item
2023-11-10 10:24:22	ga_s2bm_ard_3-2-1_54JWR_2023-11-10_final.stac-item
2023-11-27 10:14:20	ga_s2bm_ard_3-2-1_54JVR_2023-11-27_final.stac-item
2023-12-20 10:24:21	ga_s2bm_ard_3-2-1_54JWR_2023-12-20_final.stac-item
2023-12-30 10:24:22	ga_s2bm_ard_3-2-1_54JWR_2023-12-30_final.stac-item
2024-01-16 10:14:27	ga_s2bm_ard_3-2-1_54JVR_2024-01-16_final.stac-item
2024-01-19 10:24:20	ga_s2bm_ard_3-2-1_54JWR_2024-01-19_final.stac-item
2024-02-18 10:24:20	ga_s2bm_ard_3-2-1_54JVR_2024-02-18_final.stac-item
2024-02-28 10:24:16	ga_s2bm_ard_3-2-1_54JWR_2024-02-28_final.stac-item
2024-02-28 10:24:29	ga_s2bm_ard_3-2-1_54JWQ_2024-02-28_final.stac-item
2024-03-19 10:24:20	ga_s2bm_ard_3-2-1_54JWR_2024-03-19_final.stac-item
2024-03-26 10:14:27	ga_s2bm_ard_3-2-1_54JWR_2024-03-26_final.stac-item
2024-04-08 10:24:18	ga_s2bm_ard_3-2-1_54JVR_2024-04-08_final.stac-item
2024-04-08 10:24:20	ga_s2bm_ard_3-2-1_54JWR_2024-04-08_final.stac-item
2024-04-15 10:14:40	ga_s2bm_ard_3-2-1_54JWQ_2024-04-15_final.stac-item
2024-04-18 10:24:22	ga_s2bm_ard_3-2-1_54JWR_2024-04-18_final.stac-item
2024-04-28 10:24:17	ga_s2bm_ard_3-2-1_54JWR_2024-04-28_final.stac-item
2024-04-28 10:24:20	ga_s2bm_ard_3-2-1_54JWR_2024-04-28_final.stac-item
2024-05-15 10:14:39	ga_s2bm_ard_3-2-1_54JVQ_2024-05-15_final.stac-item
2024-05-18 10:24:16	ga_s2bm_ard_3-2-1_54JWR_2024-05-18_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