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
2018-09-09 09:24:12	ga_s2bm_ard_3-2-1_56HMJ_2018-09-08_final
2018-09-12 09:32:31	ga_s2bm_ard_3-2-1_56HMJ_2018-09-12_final
2018-09-19 09:22:37	ga_s2bm_ard_3-2-1_56HMJ_2018-09-18_final
2018-09-22 09:32:33	ga_s2bm_ard_3-2-1_56HMJ_2018-09-22_final
2018-09-29 09:22:39	ga_s2bm_ard_3-2-1_56HMJ_2018-09-28_final
2018-10-02 09:34:02	ga_s2bm_ard_3-2-1_56HMJ_2018-10-02_final
2018-10-12 09:32:36	ga_s2bm_ard_3-2-1_56HMJ_2018-10-12_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56HMJ_2018-10-18_final
2018-10-22 09:32:37	ga_s2bm_ard_3-2-1_56HMJ_2018-10-22_final
2018-10-29 09:22:42	ga_s2bm_ard_3-2-1_56HMJ_2018-10-28_final
2018-11-01 09:32:37	ga_s2bm_ard_3-2-1_56HMJ_2018-11-01_final
2018-11-08 09:25:52	ga_s2bm_ard_3-2-1_56HMJ_2018-11-07_final
2018-11-11 09:35:46	ga_s2bm_ard_3-2-1_56HMJ_2018-11-11_final
2018-11-18 09:25:51	ga_s2bm_ard_3-2-1_56HMJ_2018-11-17_final
2018-11-21 09:35:45	ga_s2bm_ard_3-2-1_56HMJ_2018-11-21_final
2018-11-28 09:25:50	ga_s2bm_ard_3-2-1_56HMJ_2018-11-27_final
2018-12-01 09:35:44	ga_s2bm_ard_3-2-1_56HMJ_2018-12-01_final
2018-12-11 09:35:42	ga_s2bm_ard_3-2-1_56HMJ_2018-12-11_final
2018-12-18 09:25:49	ga_s2bm_ard_3-2-1_56HMJ_2018-12-17_final
2018-12-21 09:35:43	ga_s2bm_ard_3-2-1_56HMJ_2018-12-21_final
2018-12-28 09:25:51	ga_s2bm_ard_3-2-1_56HMJ_2018-12-27_final
2018-12-31 09:35:45	ga_s2bm_ard_3-2-1_56HMJ_2018-12-31_final
2019-01-07 09:25:53	ga_s2bm_ard_3-2-1_56HMJ_2019-01-06_final
2019-01-10 09:35:47	ga_s2bm_ard_3-2-1_56HMJ_2019-01-10_final
2019-01-17 09:25:54	ga_s2bm_ard_3-2-1_56HMJ_2019-01-16_final
2019-01-20 09:35:48	ga_s2bm_ard_3-2-1_56HMJ_2019-01-20_final
2019-01-27 09:25:54	ga_s2bm_ard_3-2-1_56HMJ_2019-01-26_final
2019-01-30 09:35:48	ga_s2bm_ard_3-2-1_56HMJ_2019-01-30_final
2019-02-06 09:25:54	ga_s2bm_ard_3-2-1_56HMJ_2019-02-05_final
2019-02-09 09:35:48	ga_s2bm_ard_3-2-1_56HMJ_2019-02-09_final
2019-02-16 09:25:54	ga_s2bm_ard_3-2-1_56HMJ_2019-02-15_final
2019-02-19 09:35:48	ga_s2bm_ard_3-2-1_56HMJ_2019-02-19_final
2019-02-26 09:25:53	ga_s2bm_ard_3-2-1_56HMJ_2019-02-25_final
2019-03-01 09:35:47	ga_s2bm_ard_3-2-1_56HMJ_2019-03-01_final
2019-03-08 09:25:51	ga_s2bm_ard_3-2-1_56HMJ_2019-03-07_final
2019-03-11 09:35:46	ga_s2bm_ard_3-2-1_56HMJ_2019-03-11_final
2019-03-17 09:55:52	ga_s2bm_ard_3-2-1_55HED_2019-03-17_final
2019-03-18 09:25:53	ga_s2bm_ard_3-2-1_56HMJ_2019-03-17_final
2019-03-21 09:35:48	ga_s2bm_ard_3-2-1_56HMJ_2019-03-21_final
2019-03-24 09:46:02	ga_s2bm_ard_3-2-1_55HED_2019-03-24_final
2019-03-27 09:55:55	ga_s2bm_ard_3-2-1_55HED_2019-03-27_final
2019-03-28 09:25:55	ga_s2bm_ard_3-2-1_56HMJ_2019-03-27_final
2019-03-31 09:35:50	ga_s2bm_ard_3-2-1_56HMJ_2019-03-31_final
2019-04-03 09:46:05	ga_s2bm_ard_3-2-1_55HED_2019-04-03_final
2019-04-06 09:55:57	ga_s2bm_ard_3-2-1_55HED_2019-04-06_final
2019-04-07 09:25:58	ga_s2bm_ard_3-2-1_56HMJ_2019-04-06_final
2019-04-10 09:35:52	ga_s2bm_ard_3-2-1_56HMJ_2019-04-10_final
2019-04-13 09:46:07	ga_s2bm_ard_3-2-1_55HED_2019-04-13_final
2019-04-16 09:55:59	ga_s2bm_ard_3-2-1_55HED_2019-04-16_final
2019-04-17 09:26:00	ga_s2bm_ard_3-2-1_56HMJ_2019-04-16_final
2019-04-20 09:35:54	ga_s2bm_ard_3-2-1_56HMJ_2019-04-20_final
2019-04-23 09:46:09	ga_s2bm_ard_3-2-1_55HED_2019-04-23_final
2019-04-26 09:56:01	ga_s2bm_ard_3-2-1_55HED_2019-04-26_final
2019-04-27 09:26:01	ga_s2bm_ard_3-2-1_56HMJ_2019-04-26_final
2019-04-30 09:35:55	ga_s2bm_ard_3-2-1_56HMJ_2019-04-30_final
2019-05-03 09:46:10	ga_s2bm_ard_3-2-1_55HED_2019-05-03_final
2019-05-06 09:56:02	ga_s2bm_ard_3-2-1_55HED_2019-05-06_final
2019-05-07 09:26:01	ga_s2bm_ard_3-2-1_56HMJ_2019-05-06_final
2019-05-10 09:35:56	ga_s2bm_ard_3-2-1_56HMJ_2019-05-10_final
2019-05-13 09:46:11	ga_s2bm_ard_3-2-1_55HED_2019-05-13_final
2019-05-16 09:56:03	ga_s2bm_ard_3-2-1_55HED_2019-05-16_final
2019-05-17 09:26:03	ga_s2bm_ard_3-2-1_56HMJ_2019-05-16_final
2019-05-20 09:35:57	ga_s2bm_ard_3-2-1_56HMJ_2019-05-20_final
2019-05-23 09:46:11	ga_s2bm_ard_3-2-1_55HED_2019-05-23_final
2019-05-26 09:56:03	ga_s2bm_ard_3-2-1_55HED_2019-05-26_final
2019-05-27 09:26:03	ga_s2bm_ard_3-2-1_56HMJ_2019-05-26_final
2019-05-30 09:35:54	ga_s2bm_ard_3-2-1_56HMJ_2019-05-30_final
2019-06-02 09:46:10	ga_s2bm_ard_3-2-1_55HED_2019-06-02_final
2019-06-05 09:56:02	ga_s2bm_ard_3-2-1_55HED_2019-06-05_final
2019-06-12 09:46:10	ga_s2bm_ard_3-2-1_55HED_2019-06-12_final
2019-06-15 09:56:01	ga_s2bm_ard_3-2-1_55HED_2019-06-15_final
2019-06-22 09:46:10	ga_s2bm_ard_3-2-1_55HED_2019-06-22_final
2019-06-25 09:56:02	ga_s2bm_ard_3-2-1_55HED_2019-06-25_final
2019-07-02 09:46:11	ga_s2bm_ard_3-2-1_55HED_2019-07-02_final
2019-07-05 09:56:03	ga_s2bm_ard_3-2-1_55HED_2019-07-05_final
2019-07-12 09:46:11	ga_s2bm_ard_3-2-1_55HED_2019-07-12_final
2019-07-15 09:56:03	ga_s2bm_ard_3-2-1_55HED_2019-07-15_final
2019-07-22 09:46:11	ga_s2bm_ard_3-2-1_55HED_2019-07-22_final
2019-07-25 09:56:02	ga_s2bm_ard_3-2-1_55HED_2019-07-25_final
2019-08-01 09:46:10	ga_s2bm_ard_3-2-1_55HED_2019-08-01_final
2019-08-04 09:56:02	ga_s2bm_ard_3-2-1_55HED_2019-08-04_final
2019-08-11 09:46:09	ga_s2bm_ard_3-2-1_55HED_2019-08-11_final
2019-08-14 09:56:01	ga_s2bm_ard_3-2-1_55HED_2019-08-14_final
2019-08-21 09:46:08	ga_s2bm_ard_3-2-1_55HED_2019-08-21_final
2019-08-24 09:55:59	ga_s2bm_ard_3-2-1_55HED_2019-08-24_final
2019-08-31 09:46:06	ga_s2bm_ard_3-2-1_55HED_2019-08-31_final
2019-09-03 09:55:57	ga_s2bm_ard_3-2-1_55HED_2019-09-03_final
2019-09-10 09:46:03	ga_s2bm_ard_3-2-1_55HED_2019-09-10_final
2019-09-13 09:55:55	ga_s2bm_ard_3-2-1_55HED_2019-09-13_final
2019-09-20 09:46:01	ga_s2bm_ard_3-2-1_55HED_2019-09-20_final
2019-09-23 09:55:54	ga_s2bm_ard_3-2-1_55HED_2019-09-23_final
2019-09-30 09:46:03	ga_s2bm_ard_3-2-1_55HED_2019-09-30_final
2019-10-03 09:55:55	ga_s2bm_ard_3-2-1_55HED_2019-10-03_final
2019-10-10 09:46:03	ga_s2bm_ard_3-2-1_55HED_2019-10-10_final
2019-10-13 09:55:55	ga_s2bm_ard_3-2-1_55HED_2019-10-13_final
2019-10-20 09:46:03	ga_s2bm_ard_3-2-1_55HED_2019-10-20_final
2019-10-23 09:55:55	ga_s2bm_ard_3-2-1_55HED_2019-10-23_final
2019-10-30 09:46:03	ga_s2bm_ard_3-2-1_55HED_2019-10-30_final
2019-11-02 09:55:55	ga_s2bm_ard_3-2-1_55HED_2019-11-02_final
2019-11-09 09:46:02	ga_s2bm_ard_3-2-1_55HED_2019-11-09_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