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
2019-08-28 11:15:34	ga_s2bm_ard_3-2-1_51JXJ_2019-08-28_final
2019-08-31 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2019-08-31_final
2019-09-07 11:15:32	ga_s2bm_ard_3-2-1_51JXJ_2019-09-07_final
2019-09-10 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2019-09-10_final
2019-09-20 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2019-09-20_final
2019-09-30 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2019-09-30_final
2019-10-07 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2019-10-07_final
2019-10-10 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2019-10-10_final
2019-10-17 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2019-10-17_final
2019-10-20 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2019-10-20_final
2019-10-27 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2019-10-27_final
2019-10-30 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2019-10-30_final
2019-11-09 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2019-11-09_final
2019-11-16 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2019-11-16_final
2019-11-19 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2019-11-19_final
2019-11-29 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2019-11-29_final
2019-12-06 11:15:24	ga_s2bm_ard_3-2-1_51JXJ_2019-12-06_final
2019-12-09 11:25:18	ga_s2bm_ard_3-2-1_51JXJ_2019-12-09_final
2019-12-16 11:15:24	ga_s2bm_ard_3-2-1_51JXJ_2019-12-16_final
2019-12-19 11:25:19	ga_s2bm_ard_3-2-1_51JXJ_2019-12-19_final
2019-12-29 11:25:19	ga_s2bm_ard_3-2-1_51JXJ_2019-12-29_final
2020-01-05 11:15:24	ga_s2bm_ard_3-2-1_51JXJ_2020-01-05_final
2020-01-08 11:25:19	ga_s2bm_ard_3-2-1_51JXJ_2020-01-08_final
2020-01-15 11:15:24	ga_s2bm_ard_3-2-1_51JXJ_2020-01-15_final
2020-01-18 11:25:18	ga_s2bm_ard_3-2-1_51JXJ_2020-01-18_final
2020-01-28 11:25:17	ga_s2bm_ard_3-2-1_51JXJ_2020-01-28_final
2020-02-04 11:15:23	ga_s2bm_ard_3-2-1_51JXJ_2020-02-04_final
2020-02-07 11:25:14	ga_s2bm_ard_3-2-1_51JXJ_2020-02-07_final
2020-02-07 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2020-02-07_final
2020-02-17 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2020-02-17_final
2020-02-24 11:15:26	ga_s2bm_ard_3-2-1_51JXJ_2020-02-24_final
2020-02-27 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2020-02-27_final
2020-03-08 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2020-03-08_final
2020-03-18 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2020-03-18_final
2020-03-25 11:15:27	ga_s2bm_ard_3-2-1_51JXJ_2020-03-25_final
2020-03-28 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2020-03-28_final
2020-04-07 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2020-04-07_final
2020-04-14 11:15:26	ga_s2bm_ard_3-2-1_51JXJ_2020-04-14_final
2020-04-17 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2020-04-17_final
2020-04-24 11:15:24	ga_s2bm_ard_3-2-1_51JXJ_2020-04-24_final
2020-04-27 11:25:19	ga_s2bm_ard_3-2-1_51JXJ_2020-04-27_final
2020-05-07 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2020-05-07_final
2020-05-14 11:15:29	ga_s2bm_ard_3-2-1_51JXJ_2020-05-14_final
2020-05-17 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2020-05-17_final
2020-05-24 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2020-05-24_final
2020-05-27 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2020-05-27_final
2020-06-03 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2020-06-03_final
2020-06-06 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2020-06-06_final
2020-06-13 11:15:32	ga_s2bm_ard_3-2-1_51JXJ_2020-06-13_final
2021-03-10 11:16:25	ga_s2bm_ard_3-2-1_51HXE_2021-03-10_final
2021-03-20 11:16:25	ga_s2bm_ard_3-2-1_51HXE_2021-03-20_final
2021-03-30 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2021-03-30_final
2021-03-30 11:16:24	ga_s2bm_ard_3-2-1_51HXE_2021-03-30_final
2021-04-02 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2021-04-02_final
2021-04-09 11:16:23	ga_s2bm_ard_3-2-1_51HXE_2021-04-09_final
2021-04-19 11:16:21	ga_s2bm_ard_3-2-1_51HXE_2021-04-19_final
2021-04-29 11:16:22	ga_s2bm_ard_3-2-1_51HXE_2021-04-29_final
2021-05-02 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2021-05-02_final
2021-05-09 11:16:24	ga_s2bm_ard_3-2-1_51HXE_2021-05-09_final
2021-05-19 11:16:26	ga_s2bm_ard_3-2-1_51HXE_2021-05-19_final
2021-05-22 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2021-05-22_final
2021-05-29 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2021-05-29_final
2021-05-29 11:16:27	ga_s2bm_ard_3-2-1_51HXE_2021-05-29_final
2021-06-08 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2021-06-08_final
2021-06-08 11:16:27	ga_s2bm_ard_3-2-1_51HXE_2021-06-08_final
2021-06-18 11:16:27	ga_s2bm_ard_3-2-1_51HXE_2021-06-18_final
2021-06-28 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2021-06-28_final
2021-06-28 11:16:27	ga_s2bm_ard_3-2-1_51HXE_2021-06-28_final
2021-07-08 11:16:28	ga_s2bm_ard_3-2-1_51HXE_2021-07-08_final
2021-07-18 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2021-07-18_final
2021-07-18 11:16:28	ga_s2bm_ard_3-2-1_51HXE_2021-07-18_final
2021-07-28 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2021-07-28_final
2021-07-28 11:16:28	ga_s2bm_ard_3-2-1_51HXE_2021-07-28_final
2021-08-07 11:16:27	ga_s2bm_ard_3-2-1_51HXE_2021-08-07_final
2021-08-10 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-08-10_final
2021-08-17 11:16:26	ga_s2bm_ard_3-2-1_51HXE_2021-08-17_final
2021-08-27 11:16:24	ga_s2bm_ard_3-2-1_51HXE_2021-08-27_final
2021-09-06 11:16:23	ga_s2bm_ard_3-2-1_51HXE_2021-09-06_final
2021-09-09 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2021-09-09_final
2021-09-16 11:16:22	ga_s2bm_ard_3-2-1_51HXE_2021-09-16_final
2021-09-19 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2021-09-19_final
2021-09-26 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2021-09-26_final
2021-09-26 11:16:25	ga_s2bm_ard_3-2-1_51HXE_2021-09-26_final
2021-09-29 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2021-09-29_final
2021-10-06 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2021-10-06_final
2021-10-06 11:16:26	ga_s2bm_ard_3-2-1_51HXE_2021-10-06_final
2021-10-09 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-10-09_final
2021-10-16 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2021-10-16_final
2021-10-16 11:16:27	ga_s2bm_ard_3-2-1_51HXE_2021-10-16_final
2021-10-19 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2021-10-19_final
2021-10-26 11:15:31	ga_s2bm_ard_3-2-1_51JXJ_2021-10-26_final
2021-10-29 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-10-29_final
2021-11-05 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2021-11-05_final
2021-11-08 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2021-11-08_final
2021-11-15 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2021-11-15_final
2021-11-18 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2021-11-18_final
2021-11-28 11:25:20	ga_s2bm_ard_3-2-1_51JXJ_2021-11-28_final
2021-12-05 11:15:25	ga_s2bm_ard_3-2-1_51JXJ_2021-12-05_final
2021-12-08 11:25:19	ga_s2bm_ard_3-2-1_51JXJ_2021-12-08_final
2021-12-15 11:15:23	ga_s2bm_ard_3-2-1_51JXJ_2021-12-15_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