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
2019-04-01 10:44:56	ga_s2bm_ard_3-2-1_53JMK_2019-04-01_final
2019-07-20 10:45:02	ga_s2bm_ard_3-2-1_53JMK_2019-07-20_final
2019-12-07 10:44:47	ga_s2bm_ard_3-2-1_53JMK_2019-12-07_final
2020-02-25 10:44:50	ga_s2bm_ard_3-2-1_53JMK_2020-02-25_final
2020-04-25 10:44:48	ga_s2bm_ard_3-2-1_53JMK_2020-04-25_final
2020-09-14 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2020-09-14_final
2020-09-17 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2020-09-17_final
2020-09-24 11:25:19	ga_s2bm_ard_3-2-1_51JVK_2020-09-24_final
2020-09-27 11:35:15	ga_s2bm_ard_3-2-1_51JVK_2020-09-27_final
2020-10-04 11:25:20	ga_s2bm_ard_3-2-1_51JVK_2020-10-04_final
2020-10-07 11:35:16	ga_s2bm_ard_3-2-1_51JVK_2020-10-07_final
2020-10-14 11:25:20	ga_s2bm_ard_3-2-1_51JVK_2020-10-14_final
2020-10-17 11:35:16	ga_s2bm_ard_3-2-1_51JVK_2020-10-17_final
2020-10-24 11:25:20	ga_s2bm_ard_3-2-1_51JVK_2020-10-24_final
2020-10-27 11:35:15	ga_s2bm_ard_3-2-1_51JVK_2020-10-27_final
2020-11-03 11:25:19	ga_s2bm_ard_3-2-1_51JVK_2020-11-03_final
2020-11-06 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2020-11-06_final
2020-11-13 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2020-11-13_final
2020-11-16 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2020-11-16_final
2020-11-23 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2020-11-23_final
2020-11-26 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2020-11-26_final
2020-12-03 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2020-12-03_final
2020-12-06 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2020-12-06_final
2020-12-13 11:25:13	ga_s2bm_ard_3-2-1_51JVK_2020-12-13_final
2020-12-16 11:35:08	ga_s2bm_ard_3-2-1_51JVK_2020-12-16_final
2020-12-26 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2020-12-26_final
2021-01-02 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2021-01-02_final
2021-01-05 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2021-01-05_final
2021-01-12 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-01-12_final
2021-01-15 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2021-01-15_final
2021-01-22 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-01-22_final
2021-01-25 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2021-01-25_final
2021-02-01 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-02-01_final
2021-02-04 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2021-02-04_final
2021-02-11 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2021-02-11_final
2021-02-14 11:35:10	ga_s2bm_ard_3-2-1_51JVK_2021-02-14_final
2021-02-21 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2021-02-21_final
2021-02-24 11:35:10	ga_s2bm_ard_3-2-1_51JVK_2021-02-24_final
2021-03-03 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2021-03-03_final
2021-03-06 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2021-03-06_final
2021-03-13 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-03-13_final
2021-03-16 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2021-03-16_final
2021-03-23 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2021-03-23_final
2021-03-26 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2021-03-26_final
2021-04-02 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2021-04-02_final
2021-04-05 11:35:10	ga_s2bm_ard_3-2-1_51JVK_2021-04-05_final
2021-04-12 11:25:13	ga_s2bm_ard_3-2-1_51JVK_2021-04-12_final
2021-04-15 11:35:08	ga_s2bm_ard_3-2-1_51JVK_2021-04-15_final
2021-04-22 11:25:11	ga_s2bm_ard_3-2-1_51JVK_2021-04-22_final
2021-04-25 11:35:07	ga_s2bm_ard_3-2-1_51JVK_2021-04-25_final
2021-05-02 11:25:13	ga_s2bm_ard_3-2-1_51JVK_2021-05-02_final
2021-05-05 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2021-05-05_final
2021-05-12 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2021-05-12_final
2021-05-15 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2021-05-15_final
2021-05-22 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-05-22_final
2021-05-25 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2021-05-25_final
2021-06-01 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-06-01_final
2021-06-04 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2021-06-04_final
2021-06-11 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-06-11_final
2021-06-14 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2021-06-14_final
2021-06-21 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-06-21_final
2021-06-24 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2021-06-24_final
2021-07-01 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-07-01_final
2021-07-04 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2021-07-04_final
2021-07-11 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2021-07-11_final
2021-07-14 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2021-07-14_final
2021-07-21 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2021-07-21_final
2021-07-24 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2021-07-24_final
2021-07-31 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2021-07-31_final
2021-08-03 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2021-08-03_final
2021-08-10 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-08-10_final
2021-08-13 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2021-08-13_final
2021-08-20 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-08-20_final
2021-08-23 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2021-08-23_final
2021-08-30 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2021-08-30_final
2021-09-02 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2021-09-02_final
2021-09-09 11:25:13	ga_s2bm_ard_3-2-1_51JVK_2021-09-09_final
2021-09-12 11:35:08	ga_s2bm_ard_3-2-1_51JVK_2021-09-12_final
2021-09-19 11:25:13	ga_s2bm_ard_3-2-1_51JVK_2021-09-19_final
2021-09-22 11:35:10	ga_s2bm_ard_3-2-1_51JVK_2021-09-22_final
2021-09-29 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2021-09-29_final
2021-10-02 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2021-10-02_final
2021-10-09 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-10-09_final
2021-10-12 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2021-10-12_final
2021-10-19 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2021-10-19_final
2021-10-22 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2021-10-22_final
2021-10-29 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2021-10-29_final
2021-11-01 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2021-11-01_final
2021-11-08 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-11-08_final
2021-11-11 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2021-11-11_final
2021-11-18 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2021-11-18_final
2021-11-21 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2021-11-21_final
2021-11-28 11:25:12	ga_s2bm_ard_3-2-1_51JVK_2021-11-28_final
2021-12-01 11:35:08	ga_s2bm_ard_3-2-1_51JVK_2021-12-01_final
2021-12-08 11:25:11	ga_s2bm_ard_3-2-1_51JVK_2021-12-08_final
2021-12-11 11:35:07	ga_s2bm_ard_3-2-1_51JVK_2021-12-11_final
2021-12-18 11:25:10	ga_s2bm_ard_3-2-1_51JVK_2021-12-18_final
2021-12-21 11:35:07	ga_s2bm_ard_3-2-1_51JVK_2021-12-21_final
2021-12-28 11:25:12	ga_s2bm_ard_3-2-1_51JVK_2021-12-28_final
2021-12-31 11:35:08	ga_s2bm_ard_3-2-1_51JVK_2021-12-31_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