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
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54KVV_2018-03-01_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KVV_2018-03-11_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_54KVV_2018-03-31_final
2018-04-10 10:17:03	ga_s2bm_ard_3-2-1_54KVV_2018-04-10_final
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54KVV_2018-04-20_final
2018-05-10 10:17:04	ga_s2bm_ard_3-2-1_54KVV_2018-05-10_final
2018-05-30 10:17:02	ga_s2bm_ard_3-2-1_54KVV_2018-05-30_final
2018-06-09 10:17:03	ga_s2bm_ard_3-2-1_54KVV_2018-06-09_final
2018-07-09 10:22:32	ga_s2bm_ard_3-2-1_54KVV_2018-07-09_final
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_54KVV_2018-07-19_final
2018-07-29 10:22:46	ga_s2bm_ard_3-2-1_54KVV_2018-07-29_final
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_54KVV_2018-08-18_final
2018-08-28 10:21:53	ga_s2bm_ard_3-2-1_54KVV_2018-08-28_final
2018-09-07 10:22:40	ga_s2bm_ard_3-2-1_54KVV_2018-09-07_final
2018-09-17 10:22:40	ga_s2bm_ard_3-2-1_54KVV_2018-09-17_final
2018-09-27 10:22:43	ga_s2bm_ard_3-2-1_54KVV_2018-09-27_final
2018-10-27 10:17:03	ga_s2bm_ard_3-2-1_54KVV_2018-10-27_final
2018-11-16 10:23:26	ga_s2bm_ard_3-2-1_54KVV_2018-11-16_final
2018-11-26 10:23:25	ga_s2bm_ard_3-2-1_54KVV_2018-11-26_final
2018-12-16 10:23:23	ga_s2bm_ard_3-2-1_54KVV_2018-12-16_final
2019-01-25 10:23:29	ga_s2bm_ard_3-2-1_54KVV_2019-01-25_final
2019-03-16 10:23:27	ga_s2bm_ard_3-2-1_54KVV_2019-03-16_final
2019-03-17 09:53:16	ga_s2bm_ard_3-2-1_55KEQ_2019-03-17_final
2019-03-26 10:23:30	ga_s2bm_ard_3-2-1_54KVV_2019-03-26_final
2019-03-27 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2019-03-27_final
2019-04-05 10:23:32	ga_s2bm_ard_3-2-1_54KVV_2019-04-05_final
2019-04-06 09:53:22	ga_s2bm_ard_3-2-1_55KEQ_2019-04-06_final
2019-04-16 09:53:24	ga_s2bm_ard_3-2-1_55KEQ_2019-04-16_final
2019-04-25 10:23:36	ga_s2bm_ard_3-2-1_54KVV_2019-04-25_final
2019-04-26 09:53:25	ga_s2bm_ard_3-2-1_55KEQ_2019-04-26_final
2019-05-06 09:53:26	ga_s2bm_ard_3-2-1_55KEQ_2019-05-06_final
2019-05-16 09:53:27	ga_s2bm_ard_3-2-1_55KEQ_2019-05-16_final
2019-05-25 10:23:38	ga_s2bm_ard_3-2-1_54KVV_2019-05-25_final
2019-05-26 09:53:27	ga_s2bm_ard_3-2-1_55KEQ_2019-05-26_final
2019-06-05 09:53:26	ga_s2bm_ard_3-2-1_55KEQ_2019-06-05_final
2019-06-14 10:23:36	ga_s2bm_ard_3-2-1_54KVV_2019-06-14_final
2019-06-15 09:53:26	ga_s2bm_ard_3-2-1_55KEQ_2019-06-15_final
2019-06-24 10:23:37	ga_s2bm_ard_3-2-1_54KVV_2019-06-24_final
2019-06-25 09:53:26	ga_s2bm_ard_3-2-1_55KEQ_2019-06-25_final
2019-07-04 10:23:38	ga_s2bm_ard_3-2-1_54KVV_2019-07-04_final
2019-07-05 09:53:27	ga_s2bm_ard_3-2-1_55KEQ_2019-07-05_final
2019-07-14 10:23:38	ga_s2bm_ard_3-2-1_54KVV_2019-07-14_final
2019-07-15 09:53:27	ga_s2bm_ard_3-2-1_55KEQ_2019-07-15_final
2019-07-24 10:23:37	ga_s2bm_ard_3-2-1_54KVV_2019-07-24_final
2019-07-25 09:53:27	ga_s2bm_ard_3-2-1_55KEQ_2019-07-25_final
2019-08-03 10:23:37	ga_s2bm_ard_3-2-1_54KVV_2019-08-03_final
2019-08-04 09:53:26	ga_s2bm_ard_3-2-1_55KEQ_2019-08-04_final
2019-08-13 10:23:36	ga_s2bm_ard_3-2-1_54KVV_2019-08-13_final
2019-08-14 09:53:25	ga_s2bm_ard_3-2-1_55KEQ_2019-08-14_final
2019-08-23 10:23:34	ga_s2bm_ard_3-2-1_54KVV_2019-08-23_final
2019-08-24 09:53:23	ga_s2bm_ard_3-2-1_55KEQ_2019-08-24_final
2019-09-02 10:23:32	ga_s2bm_ard_3-2-1_54KVV_2019-09-02_final
2019-09-03 09:53:21	ga_s2bm_ard_3-2-1_55KEQ_2019-09-03_final
2019-09-12 10:23:30	ga_s2bm_ard_3-2-1_54KVV_2019-09-12_final
2019-09-13 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2019-09-13_final
2019-09-22 10:23:28	ga_s2bm_ard_3-2-1_54KVV_2019-09-22_final
2019-09-23 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2019-09-23_final
2019-10-02 10:23:30	ga_s2bm_ard_3-2-1_54KVV_2019-10-02_final
2019-10-03 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2019-10-03_final
2019-10-12 10:23:30	ga_s2bm_ard_3-2-1_54KVV_2019-10-12_final
2019-10-13 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2019-10-13_final
2019-10-22 10:23:34	ga_s2bm_ard_3-2-1_54KVV_2019-10-22_final
2019-10-23 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2019-10-23_final
2019-11-01 10:23:30	ga_s2bm_ard_3-2-1_54KVV_2019-11-01_final
2019-11-02 09:53:19	ga_s2bm_ard_3-2-1_55KEQ_2019-11-02_final
2019-11-11 10:23:28	ga_s2bm_ard_3-2-1_54KVV_2019-11-11_final
2019-11-12 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2019-11-12_final
2019-11-21 10:23:26	ga_s2bm_ard_3-2-1_54KVV_2019-11-21_final
2019-11-22 09:53:15	ga_s2bm_ard_3-2-1_55KEQ_2019-11-22_final
2019-12-01 10:23:24	ga_s2bm_ard_3-2-1_54KVV_2019-12-01_final
2019-12-02 09:53:13	ga_s2bm_ard_3-2-1_55KEQ_2019-12-02_final
2019-12-12 09:53:13	ga_s2bm_ard_3-2-1_55KEQ_2019-12-12_final
2019-12-22 09:53:13	ga_s2bm_ard_3-2-1_55KEQ_2019-12-22_final
2020-01-01 09:53:13	ga_s2bm_ard_3-2-1_55KEQ_2020-01-01_final
2020-01-11 09:53:13	ga_s2bm_ard_3-2-1_55KEQ_2020-01-11_final
2020-01-21 09:53:12	ga_s2bm_ard_3-2-1_55KEQ_2020-01-21_final
2020-01-31 09:53:11	ga_s2bm_ard_3-2-1_55KEQ_2020-01-31_final
2020-02-10 09:53:13	ga_s2bm_ard_3-2-1_55KEQ_2020-02-10_final
2020-02-20 09:53:14	ga_s2bm_ard_3-2-1_55KEQ_2020-02-20_final
2020-02-20 09:53:21	ga_s2bm_ard_3-2-1_55KEQ_2020-02-20_final
2020-03-01 09:53:16	ga_s2bm_ard_3-2-1_55KEQ_2020-03-01_final
2020-03-11 09:53:16	ga_s2bm_ard_3-2-1_55KEQ_2020-03-11_final
2020-03-21 09:53:16	ga_s2bm_ard_3-2-1_55KEQ_2020-03-21_final
2020-03-31 09:53:16	ga_s2bm_ard_3-2-1_55KEQ_2020-03-31_final
2020-04-10 09:53:15	ga_s2bm_ard_3-2-1_55KEQ_2020-04-10_final
2020-04-20 09:53:13	ga_s2bm_ard_3-2-1_55KEQ_2020-04-20_final
2020-04-30 09:53:14	ga_s2bm_ard_3-2-1_55KEQ_2020-04-30_final
2020-05-10 09:53:17	ga_s2bm_ard_3-2-1_55KEQ_2020-05-10_final
2020-05-20 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2020-05-20_final
2020-05-30 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2020-05-30_final
2020-06-09 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2020-06-09_final
2020-06-19 09:53:21	ga_s2bm_ard_3-2-1_55KEQ_2020-06-19_final
2020-06-29 09:53:21	ga_s2bm_ard_3-2-1_55KEQ_2020-06-29_final
2020-07-09 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2020-07-09_final
2020-07-29 09:53:21	ga_s2bm_ard_3-2-1_55KEQ_2020-07-29_final
2020-08-08 09:53:22	ga_s2bm_ard_3-2-1_55KEQ_2020-08-08_final
2020-08-18 09:53:22	ga_s2bm_ard_3-2-1_55KEQ_2020-08-18_final
2020-08-28 09:53:22	ga_s2bm_ard_3-2-1_55KEQ_2020-08-28_final
2020-09-07 09:53:21	ga_s2bm_ard_3-2-1_55KEQ_2020-09-07_final
2020-09-17 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2020-09-17_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