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
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JHN_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JHN_2018-07-29_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JHN_2018-08-08_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JHN_2018-08-18_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-08-28_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JHN_2018-09-07_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JHN_2018-09-17_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JHN_2018-09-27_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JHN_2018-10-07_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JHN_2018-10-17_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-10-27_final
2018-11-06 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2018-11-06_final
2018-11-16 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2018-11-16_final
2018-11-26 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2018-11-26_final
2018-12-06 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2018-12-06_final
2018-12-16 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2018-12-16_final
2018-12-26 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2018-12-26_final
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-01-05_final
2019-01-15 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-01-15_final
2019-01-25 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-01-25_final
2019-02-04 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-02-04_final
2019-02-14 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-02-14_final
2019-02-24 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-02-24_final
2019-03-06 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2019-03-06_final
2019-03-16 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2019-03-16_final
2019-03-26 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-03-26_final
2019-04-05 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2019-04-05_final
2019-04-15 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2019-04-15_final
2019-04-25 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2019-04-25_final
2019-05-05 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-05-05_final
2019-05-15 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-05-15_final
2019-05-25 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-05-25_final
2019-06-04 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-06-04_final
2019-06-14 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-06-14_final
2019-06-24 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-06-24_final
2022-01-04 11:14:19	ga_s2bm_ard_3-2-1_51JZN_2022-01-04_final
2022-01-07 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2022-01-07_final
2022-01-14 11:14:19	ga_s2bm_ard_3-2-1_51JZN_2022-01-14_final
2022-01-17 11:24:14	ga_s2bm_ard_3-2-1_51JZN_2022-01-17_final
2022-01-24 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2022-01-24_final
2022-01-27 11:24:13	ga_s2bm_ard_3-2-1_51JZN_2022-01-27_final
2022-02-03 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2022-02-03_final
2022-02-06 11:24:13	ga_s2bm_ard_3-2-1_51JZN_2022-02-06_final
2022-02-13 11:14:17	ga_s2bm_ard_3-2-1_51JZN_2022-02-13_final
2022-02-16 11:24:12	ga_s2bm_ard_3-2-1_51JZN_2022-02-16_final
2022-02-22 10:03:47	ga_s2bm_ard_3-2-1_54JZT_2022-02-22_final
2022-02-23 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2022-02-23_final
2022-02-26 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2022-02-26_final
2022-03-05 11:14:20	ga_s2bm_ard_3-2-1_51JZN_2022-03-05_final
2022-03-08 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2022-03-08_final
2022-03-15 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2022-03-15_final
2022-03-18 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2022-03-18_final
2022-03-25 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2022-03-25_final
2022-03-28 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2022-03-28_final
2022-04-04 11:14:20	ga_s2bm_ard_3-2-1_51JZN_2022-04-04_final
2022-04-07 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2022-04-07_final
2022-04-13 10:03:49	ga_s2bm_ard_3-2-1_54JZT_2022-04-13_final
2022-04-14 11:14:20	ga_s2bm_ard_3-2-1_51JZN_2022-04-14_final
2022-04-17 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2022-04-17_final
2022-04-23 10:03:47	ga_s2bm_ard_3-2-1_54JZT_2022-04-23_final
2022-04-24 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2022-04-24_final.stac-item
2022-04-26 10:13:39	ga_s2bm_ard_3-2-1_54JZT_2022-04-26_final
2022-04-27 11:24:12	ga_s2bm_ard_3-2-1_51JZN_2022-04-27_final
2022-05-03 10:03:47	ga_s2bm_ard_3-2-1_54JZT_2022-05-03_final
2022-05-04 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2022-05-04_final
2022-05-07 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2022-05-07_final
2022-05-13 10:03:51	ga_s2bm_ard_3-2-1_54JZT_2022-05-13_final
2022-05-14 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2022-05-14_final
2022-05-17 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2022-05-17_final
2022-05-23 10:03:53	ga_s2bm_ard_3-2-1_54JZT_2022-05-23_final
2022-05-24 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2022-05-24_final
2022-05-27 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2022-05-27_final
2022-06-02 10:03:52	ga_s2bm_ard_3-2-1_54JZT_2022-06-02_final
2022-06-03 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2022-06-03_final
2022-06-06 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2022-06-06_final
2022-06-12 10:03:55	ga_s2bm_ard_3-2-1_54JZT_2022-06-12_final
2022-06-13 11:14:26	ga_s2bm_ard_3-2-1_51JZN_2022-06-13_final
2022-06-16 11:24:22	ga_s2bm_ard_3-2-1_51JZN_2022-06-16_final
2022-06-22 10:03:57	ga_s2bm_ard_3-2-1_54JZT_2022-06-22_final
2022-06-23 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2022-06-23_final
2022-06-26 11:24:24	ga_s2bm_ard_3-2-1_51JZN_2022-06-26_final
2022-07-02 10:03:58	ga_s2bm_ard_3-2-1_54JZT_2022-07-02_final
2022-07-03 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2022-07-03_final
2022-07-06 11:24:24	ga_s2bm_ard_3-2-1_51JZN_2022-07-06_final
2022-07-12 10:03:57	ga_s2bm_ard_3-2-1_54JZT_2022-07-12_final
2022-07-13 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2022-07-13_final
2022-07-16 11:24:23	ga_s2bm_ard_3-2-1_51JZN_2022-07-16_final
2022-07-22 10:03:58	ga_s2bm_ard_3-2-1_54JZT_2022-07-22_final
2022-07-23 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2022-07-23_final
2022-07-26 11:24:24	ga_s2bm_ard_3-2-1_51JZN_2022-07-26_final
2022-08-01 10:03:57	ga_s2bm_ard_3-2-1_54JZT_2022-08-01_final
2022-08-02 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2022-08-02_final
2022-08-05 11:24:23	ga_s2bm_ard_3-2-1_51JZN_2022-08-05_final
2022-08-11 10:03:56	ga_s2bm_ard_3-2-1_54JZT_2022-08-11_final
2022-08-12 11:14:27	ga_s2bm_ard_3-2-1_51JZN_2022-08-12_final
2022-08-15 11:24:22	ga_s2bm_ard_3-2-1_51JZN_2022-08-15_final
2022-08-21 10:03:54	ga_s2bm_ard_3-2-1_54JZT_2022-08-21_final
2022-08-22 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2022-08-22_final
2022-08-24 10:13:46	ga_s2bm_ard_3-2-1_54JZT_2022-08-24_final
2022-08-25 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2022-08-25_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