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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGL_2017-07-04_final
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-14_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JGL_2017-07-24_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGL_2017-08-03_final
2017-08-23 12:04:38	ga_s2bm_ard_3-2-1_49JGL_2017-08-23_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2017-09-02_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGL_2017-09-12_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49JGL_2017-09-15_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-09-22_final
2017-09-25 12:14:28	ga_s2bm_ard_3-2-1_49JGL_2017-09-25_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGL_2017-10-02_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49JGL_2017-10-05_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-10-12_final
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JGL_2017-10-15_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGL_2017-10-22_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49JGL_2017-10-25_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGL_2017-11-01_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-11-11_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-11-21_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-11-24_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGL_2017-12-01_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-12-11_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-12-21_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGL_2017-12-31_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGL_2018-01-10_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-01-20_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-01-30_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-09_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-19_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-02-22_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-01_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGL_2018-03-04_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-11_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-03-21_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGL_2018-03-31_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGL_2018-04-20_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-05-10_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-05-20_final
2018-05-23 12:14:46	ga_s2bm_ard_3-2-1_49JGL_2018-05-23_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGL_2018-05-30_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JGL_2018-06-02_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-06-09_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49JGL_2018-06-12_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-06-19_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JGL_2018-06-22_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-06-29_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGL_2018-07-09_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGL_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49JGL_2018-08-01_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGL_2018-08-08_final
2018-08-11 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-08-11_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGL_2018-08-18_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGL_2018-08-21_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-08-28_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGL_2018-08-28_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGL_2018-09-07_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGL_2018-09-10_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGL_2018-09-17_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGL_2018-10-07_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGL_2018-10-17_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-10-27_final
2018-11-06 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2018-11-06_final
2018-11-16 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2018-11-16_final
2018-11-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-11-26_final
2018-12-06 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2018-12-06_final
2018-12-16 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2018-12-16_final
2018-12-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-12-26_final
2019-01-05 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2019-01-05_final
2022-01-19 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2022-01-19_final
2022-01-22 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-01-22_final
2022-01-29 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2022-01-29_final
2022-02-01 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-02-01_final
2022-02-08 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2022-02-08_final
2022-02-18 12:05:08	ga_s2bm_ard_3-2-1_49JGL_2022-02-18_final
2022-02-28 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2022-02-28_final
2022-03-10 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2022-03-10_final
2022-03-20 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2022-03-20_final
2022-03-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-03-30_final
2022-04-09 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-04-09_final
2022-04-19 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2022-04-19_final
2022-04-22 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-04-22_final
2022-04-29 12:05:08	ga_s2bm_ard_3-2-1_49JGL_2022-04-29_final
2022-05-09 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-05-09_final
2022-05-19 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-05-19_final
2022-05-29 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-05-29_final
2022-06-08 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2022-06-08_final
2022-06-18 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2022-06-18_final
2022-06-28 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2022-06-28_final
2022-07-08 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2022-07-08_final
2022-07-18 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2022-07-18_final
2022-07-28 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2022-07-28_final
2022-08-07 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2022-08-07_final
2022-08-17 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-08-17_final
2022-08-20 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2022-08-20_final
2022-08-27 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-08-27_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