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
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51JVF_2018-10-15_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51JVF_2018-10-18_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JVF_2018-10-25_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51JVF_2018-10-28_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51JVF_2018-11-04_final
2018-11-07 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2018-11-07_final
2018-11-14 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2018-11-14_final
2018-11-17 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2018-11-17_final
2018-11-24 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2018-11-24_final
2018-11-27 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2018-11-27_final
2018-12-04 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2018-12-04_final
2018-12-07 11:36:05	ga_s2bm_ard_3-2-1_51JVF_2018-12-07_final
2018-12-14 11:26:08	ga_s2bm_ard_3-2-1_51JVF_2018-12-14_final
2018-12-17 11:36:05	ga_s2bm_ard_3-2-1_51JVF_2018-12-17_final
2018-12-24 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2018-12-24_final
2018-12-27 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2018-12-27_final
2019-01-03 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2019-01-03_final
2019-01-06 11:36:09	ga_s2bm_ard_3-2-1_51JVF_2019-01-06_final
2019-01-13 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2019-01-13_final
2019-01-16 11:36:13	ga_s2bm_ard_3-2-1_51JVF_2019-01-16_final
2019-01-23 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2019-01-23_final
2019-01-26 11:36:10	ga_s2bm_ard_3-2-1_51JVF_2019-01-26_final
2019-02-02 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2019-02-02_final
2019-02-05 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2019-02-05_final
2019-02-12 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2019-02-12_final
2019-02-15 11:36:10	ga_s2bm_ard_3-2-1_51JVF_2019-02-15_final
2019-02-22 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2019-02-22_final
2019-02-25 11:36:09	ga_s2bm_ard_3-2-1_51JVF_2019-02-25_final
2019-03-04 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2019-03-04_final
2019-03-14 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2019-03-14_final
2019-03-17 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2019-03-17_final
2019-03-24 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2019-03-24_final
2019-03-24 11:26:23	ga_s2bm_ard_3-2-1_51JVF_2019-03-24_final
2019-03-27 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2019-03-27_final
2019-04-03 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2019-04-03_final
2019-04-06 11:36:14	ga_s2bm_ard_3-2-1_51JVF_2019-04-06_final
2019-04-13 11:26:19	ga_s2bm_ard_3-2-1_51JVF_2019-04-13_final
2019-04-16 11:36:16	ga_s2bm_ard_3-2-1_51JVF_2019-04-16_final
2019-04-23 11:26:21	ga_s2bm_ard_3-2-1_51JVF_2019-04-23_final
2019-04-26 11:36:17	ga_s2bm_ard_3-2-1_51JVF_2019-04-26_final
2019-05-03 11:26:22	ga_s2bm_ard_3-2-1_51JVF_2019-05-03_final
2019-05-06 11:36:18	ga_s2bm_ard_3-2-1_51JVF_2019-05-06_final
2019-05-13 11:26:23	ga_s2bm_ard_3-2-1_51JVF_2019-05-13_final
2019-05-16 11:36:19	ga_s2bm_ard_3-2-1_51JVF_2019-05-16_final
2019-05-23 11:26:23	ga_s2bm_ard_3-2-1_51JVF_2019-05-23_final
2019-05-26 11:36:19	ga_s2bm_ard_3-2-1_51JVF_2019-05-26_final
2019-06-02 11:26:23	ga_s2bm_ard_3-2-1_51JVF_2019-06-02_final
2019-11-04 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-11-04_final
2019-11-14 10:35:51	ga_s2bm_ard_3-2-1_53JNF_2019-11-14_final
2019-11-24 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2019-11-24_final
2019-12-04 10:35:46	ga_s2bm_ard_3-2-1_53JNF_2019-12-04_final
2019-12-14 10:35:47	ga_s2bm_ard_3-2-1_53JNF_2019-12-14_final
2019-12-24 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2019-12-24_final
2020-01-03 10:35:47	ga_s2bm_ard_3-2-1_53JNF_2020-01-03_final
2020-01-13 10:35:47	ga_s2bm_ard_3-2-1_53JNF_2020-01-13_final
2020-01-23 10:35:45	ga_s2bm_ard_3-2-1_53JNF_2020-01-23_final
2020-02-02 10:35:45	ga_s2bm_ard_3-2-1_53JNF_2020-02-02_final
2020-02-12 10:35:47	ga_s2bm_ard_3-2-1_53JNF_2020-02-12_final
2020-02-20 11:36:10	ga_s2bm_ard_3-2-1_51JVF_2020-02-20_final
2020-02-22 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2020-02-22_final
2020-02-27 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2020-02-27_final
2020-03-01 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2020-03-01_final
2020-03-03 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2020-03-03_final
2020-03-08 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2020-03-08_final
2020-03-11 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2020-03-11_final
2020-03-13 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2020-03-13_final
2020-03-18 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2020-03-18_final
2020-03-23 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2020-03-23_final
2020-03-28 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2020-03-28_final
2020-03-31 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2020-03-31_final
2020-04-02 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2020-04-02_final
2020-04-07 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2020-04-07_final
2020-04-12 10:35:48	ga_s2bm_ard_3-2-1_53JNF_2020-04-12_final
2020-04-17 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2020-04-17_final
2020-04-20 11:36:05	ga_s2bm_ard_3-2-1_51JVF_2020-04-20_final
2020-04-22 10:35:47	ga_s2bm_ard_3-2-1_53JNF_2020-04-22_final
2020-04-27 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2020-04-27_final
2020-04-30 11:36:06	ga_s2bm_ard_3-2-1_51JVF_2020-04-30_final
2020-05-02 10:35:49	ga_s2bm_ard_3-2-1_53JNF_2020-05-02_final
2020-05-07 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2020-05-07_final
2020-05-12 10:35:51	ga_s2bm_ard_3-2-1_53JNF_2020-05-12_final
2020-05-17 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2020-05-17_final
2020-05-20 11:36:10	ga_s2bm_ard_3-2-1_51JVF_2020-05-20_final
2020-05-22 10:35:53	ga_s2bm_ard_3-2-1_53JNF_2020-05-22_final
2020-05-27 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2020-05-27_final
2020-06-01 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2020-06-01_final
2020-06-09 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2020-06-09_final
2020-06-11 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2020-06-11_final
2020-06-16 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2020-06-16_final
2020-06-19 11:36:13	ga_s2bm_ard_3-2-1_51JVF_2020-06-19_final
2020-06-21 10:35:55	ga_s2bm_ard_3-2-1_53JNF_2020-06-21_final
2020-06-26 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2020-06-26_final
2020-06-29 11:36:13	ga_s2bm_ard_3-2-1_51JVF_2020-06-29_final
2020-07-09 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2020-07-09_final
2020-07-16 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2020-07-16_final
2020-08-05 11:26:18	ga_s2bm_ard_3-2-1_51JVF_2020-08-05_final
2020-08-08 11:36:14	ga_s2bm_ard_3-2-1_51JVF_2020-08-08_final
2020-08-15 11:26:18	ga_s2bm_ard_3-2-1_51JVF_2020-08-15_final
2020-08-28 11:36:14	ga_s2bm_ard_3-2-1_51JVF_2020-08-28_final
2020-09-04 11:26:18	ga_s2bm_ard_3-2-1_51JVF_2020-09-04_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