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
2019-01-18 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-01-18_final
2019-01-28 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2019-01-28_final
2019-04-05 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2019-04-05_final
2019-04-05 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-04-05_final
2019-04-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2019-04-05_final
2019-04-05 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2019-04-05_final
2019-04-08 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2019-04-08_final
2019-04-08 12:14:10	ga_s2bm_ard_3-2-1_49KGR_2019-04-08_final
2019-04-08 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2019-04-08_final
2019-04-08 12:14:49	ga_s2bm_ard_3-2-1_49JFN_2019-04-08_final
2019-04-08 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2019-04-08_final
2019-04-08 12:15:24	ga_s2bm_ard_3-2-1_49JGK_2019-04-08_final
2019-04-15 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2019-04-15_final
2019-04-15 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2019-04-15_final
2019-04-15 12:05:26	ga_s2bm_ard_3-2-1_49JGL_2019-04-15_final
2019-04-15 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2019-04-15_final
2019-04-15 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2019-04-15_final
2019-04-15 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2019-04-15_final
2019-04-18 12:14:12	ga_s2bm_ard_3-2-1_49KGR_2019-04-18_final
2019-04-18 12:14:27	ga_s2bm_ard_3-2-1_49KHP_2019-04-18_final
2019-04-18 12:14:51	ga_s2bm_ard_3-2-1_49JFN_2019-04-18_final
2019-04-18 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2019-04-18_final
2019-04-18 12:15:26	ga_s2bm_ard_3-2-1_49JGK_2019-04-18_final
2019-04-25 12:04:35	ga_s2bm_ard_3-2-1_49KHP_2019-04-25_final
2019-04-25 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-04-25_final
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final
2019-04-25 12:05:36	ga_s2bm_ard_3-2-1_49JGK_2019-04-25_final
2019-04-25 12:05:51	ga_s2bm_ard_3-2-1_49JGJ_2019-04-25_final
2019-04-28 12:14:09	ga_s2bm_ard_3-2-1_49KGR_2019-04-28_final
2019-04-28 12:14:53	ga_s2bm_ard_3-2-1_49JFN_2019-04-28_final
2019-04-28 12:15:18	ga_s2bm_ard_3-2-1_49JGL_2019-04-28_final
2019-04-28 12:15:27	ga_s2bm_ard_3-2-1_49JGK_2019-04-28_final
2019-05-05 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-05-05_final
2019-05-05 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-05-05_final
2019-05-05 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-05_final
2019-05-05 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-05-05_final
2019-05-05 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-05-05_final
2019-05-08 12:14:06	ga_s2bm_ard_3-2-1_49KGR_2019-05-08_final
2019-05-08 12:14:14	ga_s2bm_ard_3-2-1_49KGR_2019-05-08_final
2019-05-08 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-05-08_final
2019-05-08 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-05-08_final
2019-05-08 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-08_final
2019-05-08 12:15:28	ga_s2bm_ard_3-2-1_49JGK_2019-05-08_final
2019-05-15 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-05-15_final
2019-05-15 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-15_final
2019-05-15 12:05:31	ga_s2bm_ard_3-2-1_49JGL_2019-05-15_final
2019-05-15 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2019-05-15_final
2019-05-15 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-05-15_final
2019-05-15 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-05-15_final
2019-05-18 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-05-18_final
2019-05-18 12:14:15	ga_s2bm_ard_3-2-1_49KGR_2019-05-18_final
2019-05-18 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-05-18_final
2019-05-18 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-05-18_final
2019-05-18 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-18_final
2019-05-18 12:15:28	ga_s2bm_ard_3-2-1_49JGK_2019-05-18_final
2019-05-25 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-05-25_final
2019-05-25 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-25_final
2019-05-25 12:05:31	ga_s2bm_ard_3-2-1_49JGL_2019-05-25_final
2019-05-25 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2019-05-25_final
2019-05-25 12:05:38	ga_s2bm_ard_3-2-1_49JGK_2019-05-25_final
2019-05-25 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-05-25_final
2019-05-28 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-05-28_final
2019-05-28 12:14:15	ga_s2bm_ard_3-2-1_49KGR_2019-05-28_final
2019-05-28 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-05-28_final
2019-05-28 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-05-28_final
2019-05-28 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-28_final
2019-05-28 12:15:28	ga_s2bm_ard_3-2-1_49JGK_2019-05-28_final
2019-06-04 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-06-04_final
2019-06-04 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-04_final
2019-06-04 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-06-04_final
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final
2019-06-07 12:14:06	ga_s2bm_ard_3-2-1_49KGR_2019-06-07_final
2019-06-07 12:14:14	ga_s2bm_ard_3-2-1_49KGR_2019-06-07_final
2019-06-07 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-06-07_final
2019-06-07 12:14:53	ga_s2bm_ard_3-2-1_49JFN_2019-06-07_final
2019-06-07 12:15:18	ga_s2bm_ard_3-2-1_49JGL_2019-06-07_final
2019-06-07 12:15:28	ga_s2bm_ard_3-2-1_49JGK_2019-06-07_final
2019-06-08 11:47:03	ga_s2bm_ard_3-2-1_50HMJ_2019-06-08_final
2019-06-14 12:04:35	ga_s2bm_ard_3-2-1_49KHP_2019-06-14_final
2019-06-14 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-06-14_final
2019-06-14 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-06-14_final
2019-06-14 12:05:27	ga_s2bm_ard_3-2-1_49JGL_2019-06-14_final
2019-06-14 12:05:36	ga_s2bm_ard_3-2-1_49JGK_2019-06-14_final
2019-06-14 12:05:51	ga_s2bm_ard_3-2-1_49JGJ_2019-06-14_final
2019-06-17 12:14:05	ga_s2bm_ard_3-2-1_49KGR_2019-06-17_final
2019-06-17 12:14:12	ga_s2bm_ard_3-2-1_49KGR_2019-06-17_final
2019-06-17 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-06-17_final
2019-06-17 12:14:53	ga_s2bm_ard_3-2-1_49JFN_2019-06-17_final
2019-06-17 12:15:18	ga_s2bm_ard_3-2-1_49JGL_2019-06-17_final
2019-06-17 12:15:27	ga_s2bm_ard_3-2-1_49JGK_2019-06-17_final
2019-06-24 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-06-24_final
2019-06-24 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-24_final
2019-06-24 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-06-24_final
2019-06-24 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-24_final
2019-06-27 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2019-06-27_final
2019-06-27 12:14:15	ga_s2bm_ard_3-2-1_49KGR_2019-06-27_final
2019-06-27 12:14:29	ga_s2bm_ard_3-2-1_49KHP_2019-06-27_final
2019-06-27 12:14:54	ga_s2bm_ard_3-2-1_49JFN_2019-06-27_final
2019-06-27 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-06-27_final

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