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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51HTC_2017-07-05_final
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_51HTC_2017-07-25_final
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_51HTC_2017-09-03_final
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HTC_2017-09-10_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HTC_2017-09-23_final
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_51HTC_2017-10-13_final
2017-10-20 11:21:45	ga_s2bm_ard_3-2-1_51HTC_2017-10-20_final
2017-10-30 11:25:33	ga_s2bm_ard_3-2-1_51HTC_2017-10-30_final
2017-11-02 11:35:51	ga_s2bm_ard_3-2-1_51HTC_2017-11-02_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51HTC_2017-11-09_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51HTC_2017-11-12_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HTC_2017-11-19_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_51HTC_2017-11-22_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_51HTC_2017-12-02_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51HTC_2017-12-09_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_51HTC_2017-12-12_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51HTC_2017-12-22_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51HTC_2017-12-29_final
2018-01-01 11:35:58	ga_s2bm_ard_3-2-1_51HTC_2018-01-01_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51HTC_2018-01-11_final
2018-01-21 11:35:57	ga_s2bm_ard_3-2-1_51HTC_2018-01-21_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51HTC_2018-01-31_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HTC_2018-02-07_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_51HTC_2018-02-10_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51HTC_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51HTC_2018-02-20_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51HTC_2018-02-27_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51HTC_2018-03-02_final
2018-03-09 11:26:31	ga_s2bm_ard_3-2-1_51HTC_2018-03-09_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51HTC_2018-03-12_final
2018-03-19 11:26:26	ga_s2bm_ard_3-2-1_51HTC_2018-03-19_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51HTC_2018-03-22_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51HTC_2018-03-29_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51HTC_2018-04-01_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51HTC_2018-04-08_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_51HTC_2018-04-11_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51HTC_2018-04-18_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51HTC_2018-04-21_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HTC_2018-04-28_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51HTC_2018-05-11_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51HTC_2018-05-18_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51HTC_2018-05-21_final
2018-05-28 11:26:26	ga_s2bm_ard_3-2-1_51HTC_2018-05-28_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51HTC_2018-05-31_final
2018-06-07 11:25:26	ga_s2bm_ard_3-2-1_51HTC_2018-06-07_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51HTC_2018-06-10_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HTC_2018-06-20_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51HTC_2018-06-30_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51HTC_2018-07-07_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51HTC_2018-07-10_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51HTC_2018-07-17_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_51HTC_2018-07-20_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51HTC_2018-07-27_final
2018-07-27 11:27:02	ga_s2bm_ard_3-2-1_51HTC_2018-07-27_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51HTC_2018-07-30_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HTC_2018-08-09_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_51HTC_2018-08-19_final
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51HTC_2018-08-26_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51HTC_2018-08-29_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51HTC_2018-09-08_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51HTC_2018-09-18_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51HTC_2018-09-25_final
2018-09-25 11:26:59	ga_s2bm_ard_3-2-1_51HTC_2018-09-25_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51HTC_2018-09-28_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51HTC_2018-10-08_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51HTC_2018-10-18_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51HTC_2018-10-25_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51HTC_2018-10-28_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51HTC_2018-11-04_final
2018-11-07 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2018-11-07_final
2018-11-17 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2018-11-17_final
2018-11-27 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2018-11-27_final
2018-12-07 11:36:55	ga_s2bm_ard_3-2-1_51HTC_2018-12-07_final
2018-12-14 11:27:01	ga_s2bm_ard_3-2-1_51HTC_2018-12-14_final
2018-12-17 11:36:55	ga_s2bm_ard_3-2-1_51HTC_2018-12-17_final
2018-12-27 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2018-12-27_final
2019-01-03 11:27:05	ga_s2bm_ard_3-2-1_51HTC_2019-01-03_final
2019-01-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2019-01-06_final
2019-01-13 11:27:06	ga_s2bm_ard_3-2-1_51HTC_2019-01-13_final
2019-01-16 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2019-01-16_final
2019-01-23 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2019-01-23_final
2019-01-26 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2019-01-26_final
2020-06-19 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-19_final
2020-06-29 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-29_final
2020-07-09 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-07-09_final
2020-08-08 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-08-08_final
2020-08-15 11:27:11	ga_s2bm_ard_3-2-1_51HTC_2020-08-15_final
2020-08-18 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-08-18_final
2020-08-25 11:27:11	ga_s2bm_ard_3-2-1_51HTC_2020-08-25_final
2020-09-04 11:27:10	ga_s2bm_ard_3-2-1_51HTC_2020-09-04_final
2020-09-07 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-09-07_final
2020-09-14 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2020-09-14_final
2020-09-17 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2020-09-17_final
2020-09-27 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-09-27_final
2020-10-07 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-10-07_final
2020-10-14 11:27:11	ga_s2bm_ard_3-2-1_51HTC_2020-10-14_final
2020-10-17 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-10-17_final
2020-10-24 11:27:11	ga_s2bm_ard_3-2-1_51HTC_2020-10-24_final
2020-10-27 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-10-27_final
2020-11-03 11:27:10	ga_s2bm_ard_3-2-1_51HTC_2020-11-03_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