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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2017-08-13_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
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-09-22_final
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGL_2017-10-02_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-10-12_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGL_2017-10-22_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
2017-12-01 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
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGL_2018-03-01_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
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGL_2018-05-30_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-06-09_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-06-19_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
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGL_2018-08-08_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGL_2018-08-18_final
2018-08-28 12:02:40	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
2018-09-17 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
2018-10-07 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
2020-07-12 10:04:23	ga_s2bm_ard_3-2-1_55JBL_2020-07-12_final
2020-07-22 10:04:24	ga_s2bm_ard_3-2-1_55JBL_2020-07-22_final
2020-08-01 10:04:23	ga_s2bm_ard_3-2-1_55JBL_2020-08-01_final
2020-08-11 10:04:25	ga_s2bm_ard_3-2-1_55JBL_2020-08-11_final
2020-08-21 10:04:25	ga_s2bm_ard_3-2-1_55JBL_2020-08-21_final
2020-09-20 10:04:24	ga_s2bm_ard_3-2-1_55JBL_2020-09-20_final
2020-09-30 10:04:25	ga_s2bm_ard_3-2-1_55JBL_2020-09-30_final
2020-10-10 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2020-10-10_final
2020-10-20 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2020-10-20_final
2020-10-30 10:04:23	ga_s2bm_ard_3-2-1_55JBL_2020-10-30_final
2020-11-29 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2020-11-29_final
2020-12-09 10:04:20	ga_s2bm_ard_3-2-1_55JBL_2020-12-09_final
2020-12-19 10:04:18	ga_s2bm_ard_3-2-1_55JBL_2020-12-19_final
2020-12-29 10:04:20	ga_s2bm_ard_3-2-1_55JBL_2020-12-29_final
2021-01-08 10:04:21	ga_s2bm_ard_3-2-1_55JBL_2021-01-08_final
2021-01-18 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2021-01-18_final
2021-02-17 10:04:16	ga_s2bm_ard_3-2-1_55JBL_2021-02-17_final
2021-02-27 10:04:17	ga_s2bm_ard_3-2-1_55JBL_2021-02-27_final
2021-03-09 10:04:17	ga_s2bm_ard_3-2-1_55JBL_2021-03-09_final
2021-03-19 10:04:21	ga_s2bm_ard_3-2-1_55JBL_2021-03-19_final
2021-03-29 10:04:20	ga_s2bm_ard_3-2-1_55JBL_2021-03-29_final
2021-04-08 10:04:19	ga_s2bm_ard_3-2-1_55JBL_2021-04-08_final
2021-04-18 10:04:17	ga_s2bm_ard_3-2-1_55JBL_2021-04-18_final
2021-04-28 10:04:17	ga_s2bm_ard_3-2-1_55JBL_2021-04-28_final
2021-05-08 10:04:20	ga_s2bm_ard_3-2-1_55JBL_2021-05-08_final
2021-05-18 10:04:21	ga_s2bm_ard_3-2-1_55JBL_2021-05-18_final
2021-05-28 10:04:22	ga_s2bm_ard_3-2-1_55JBL_2021-05-28_final
2021-06-07 10:04:23	ga_s2bm_ard_3-2-1_55JBL_2021-06-07_final
2021-06-17 10:04:23	ga_s2bm_ard_3-2-1_55JBL_2021-06-17_final
2021-06-27 10:04:23	ga_s2bm_ard_3-2-1_55JBL_2021-06-27_final
2021-07-07 10:04:24	ga_s2bm_ard_3-2-1_55JBL_2021-07-07_final
2021-07-17 10:04:24	ga_s2bm_ard_3-2-1_55JBL_2021-07-17_final
2021-07-27 10:04:24	ga_s2bm_ard_3-2-1_55JBL_2021-07-27_final
2022-03-03 10:34:27	ga_s2bm_ard_3-2-1_53JQL_2022-03-03_final
2022-03-13 10:34:28	ga_s2bm_ard_3-2-1_53JQL_2022-03-13_final
2022-03-23 10:34:27	ga_s2bm_ard_3-2-1_53JQL_2022-03-23_final
2022-04-02 10:34:26	ga_s2bm_ard_3-2-1_53JQL_2022-04-02_final
2022-04-12 10:34:26	ga_s2bm_ard_3-2-1_53JQL_2022-04-12_final
2022-04-22 10:34:25	ga_s2bm_ard_3-2-1_53JQL_2022-04-22_final
2022-05-02 10:34:24	ga_s2bm_ard_3-2-1_53JQL_2022-05-02_final
2022-05-12 10:34:28	ga_s2bm_ard_3-2-1_53JQL_2022-05-12_final
2022-05-22 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2022-05-22_final
2022-06-01 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2022-06-01_final
2022-06-11 10:34:35	ga_s2bm_ard_3-2-1_53JQL_2022-06-11_final
2022-06-21 10:34:37	ga_s2bm_ard_3-2-1_53JQL_2022-06-21_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