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
2017-07-06 09:22:45	ga_s2bm_ard_3-2-1_55GEM_2017-07-05_final.stac-item
2017-07-09 09:38:26	ga_s2bm_ard_3-2-1_55GEM_2017-07-09_final.stac-item
2017-07-19 09:38:36	ga_s2bm_ard_3-2-1_55GEM_2017-07-19_final.stac-item
2017-07-26 09:22:44	ga_s2bm_ard_3-2-1_55GEM_2017-07-25_final.stac-item
2017-07-29 09:35:43	ga_s2bm_ard_3-2-1_55GEM_2017-07-29_final.stac-item
2017-08-08 09:38:34	ga_s2bm_ard_3-2-1_55GEM_2017-08-08_final.stac-item
2017-08-15 09:22:42	ga_s2bm_ard_3-2-1_55GEM_2017-08-14_final.stac-item
2017-08-18 09:34:03	ga_s2bm_ard_3-2-1_55GEM_2017-08-18_final.stac-item
2017-08-28 09:38:31	ga_s2bm_ard_3-2-1_55GEM_2017-08-28_final.stac-item
2017-09-07 09:33:13	ga_s2bm_ard_3-2-1_55GEM_2017-09-07_final.stac-item
2017-09-17 09:38:25	ga_s2bm_ard_3-2-1_55GEM_2017-09-17_final.stac-item
2017-09-24 09:22:31	ga_s2bm_ard_3-2-1_55GEM_2017-09-23_final.stac-item
2017-09-27 09:37:57	ga_s2bm_ard_3-2-1_55GEM_2017-09-27_final.stac-item
2017-10-07 09:38:20	ga_s2bm_ard_3-2-1_55GEM_2017-10-07_final.stac-item
2017-10-14 09:22:30	ga_s2bm_ard_3-2-1_55GEM_2017-10-13_final.stac-item
2017-10-17 09:38:09	ga_s2bm_ard_3-2-1_55GEM_2017-10-17_final.stac-item
2017-10-27 09:32:47	ga_s2bm_ard_3-2-1_55GEM_2017-10-27_final.stac-item
2017-11-06 09:38:09	ga_s2bm_ard_3-2-1_55GEM_2017-11-06_final.stac-item
2017-11-13 09:23:11	ga_s2bm_ard_3-2-1_55GEM_2017-11-12_final.stac-item
2017-11-16 09:32:48	ga_s2bm_ard_3-2-1_55GEM_2017-11-16_final.stac-item
2017-11-23 09:22:32	ga_s2bm_ard_3-2-1_55GEM_2017-11-22_final.stac-item
2017-12-06 09:32:49	ga_s2bm_ard_3-2-1_55GEM_2017-12-06_final.stac-item
2017-12-13 09:23:45	ga_s2bm_ard_3-2-1_55GEM_2017-12-12_final.stac-item
2017-12-16 09:38:11	ga_s2bm_ard_3-2-1_55GEM_2017-12-16_final.stac-item
2017-12-23 09:23:12	ga_s2bm_ard_3-2-1_55GEM_2017-12-22_final.stac-item
2017-12-26 09:32:49	ga_s2bm_ard_3-2-1_55GEM_2017-12-26_final.stac-item
2018-01-02 09:23:47	ga_s2bm_ard_3-2-1_55GEM_2018-01-01_final.stac-item
2018-02-04 09:32:54	ga_s2bm_ard_3-2-1_55GEM_2018-02-04_final.stac-item
2018-02-14 09:38:16	ga_s2bm_ard_3-2-1_55GEM_2018-02-14_final.stac-item
2018-02-21 09:23:17	ga_s2bm_ard_3-2-1_55GEM_2018-02-20_final.stac-item
2018-03-03 09:22:35	ga_s2bm_ard_3-2-1_55GEM_2018-03-02_final.stac-item
2018-03-06 09:35:23	ga_s2bm_ard_3-2-1_55GEM_2018-03-06_final.stac-item
2018-03-16 09:32:32	ga_s2bm_ard_3-2-1_55GEM_2018-03-16_final.stac-item
2018-04-02 09:22:41	ga_s2bm_ard_3-2-1_55GEM_2018-04-01_final.stac-item
2018-04-15 09:32:38	ga_s2bm_ard_3-2-1_55GEM_2018-04-15_final.stac-item
2018-04-25 09:32:38	ga_s2bm_ard_3-2-1_55GEM_2018-04-25_final.stac-item
2018-05-02 09:22:43	ga_s2bm_ard_3-2-1_55GEM_2018-05-01_final.stac-item
2019-07-22 09:49:10	ga_s2bm_ard_3-2-1_55GCM_2019-07-22_final.stac-item
2019-07-29 09:39:12	ga_s2bm_ard_3-2-1_55GCM_2019-07-29_final.stac-item
2019-08-01 09:49:08	ga_s2bm_ard_3-2-1_55GCM_2019-08-01_final.stac-item
2019-09-07 09:39:02	ga_s2bm_ard_3-2-1_55GEM_2019-09-07_final.stac-item
2019-09-14 09:29:01	ga_s2bm_ard_3-2-1_55GEM_2019-09-13_final.stac-item
2019-09-24 09:29:00	ga_s2bm_ard_3-2-1_55GEM_2019-09-23_final.stac-item
2019-09-27 09:39:00	ga_s2bm_ard_3-2-1_55GEM_2019-09-27_final.stac-item
2019-09-30 09:49:00	ga_s2bm_ard_3-2-1_55GCM_2019-09-30_final.stac-item
2019-10-04 09:29:01	ga_s2bm_ard_3-2-1_55GEM_2019-10-03_final.stac-item
2019-10-07 09:39:00	ga_s2bm_ard_3-2-1_55GEM_2019-10-07_final.stac-item
2019-10-07 09:39:05	ga_s2bm_ard_3-2-1_55GCM_2019-10-07_final.stac-item
2019-10-10 09:49:01	ga_s2bm_ard_3-2-1_55GCM_2019-10-10_final.stac-item
2019-10-14 09:29:02	ga_s2bm_ard_3-2-1_55GEM_2019-10-13_final.stac-item
2019-10-17 09:39:05	ga_s2bm_ard_3-2-1_55GCM_2019-10-17_final.stac-item
2019-10-20 09:49:01	ga_s2bm_ard_3-2-1_55GCM_2019-10-20_final.stac-item
2019-10-24 09:29:02	ga_s2bm_ard_3-2-1_55GEM_2019-10-23_final.stac-item
2019-10-27 09:39:05	ga_s2bm_ard_3-2-1_55GCM_2019-10-27_final.stac-item
2019-10-30 09:49:02	ga_s2bm_ard_3-2-1_55GCM_2019-10-30_final.stac-item
2019-11-06 09:39:04	ga_s2bm_ard_3-2-1_55GCM_2019-11-06_final.stac-item
2019-11-13 09:29:00	ga_s2bm_ard_3-2-1_55GEM_2019-11-12_final.stac-item
2019-11-16 09:38:58	ga_s2bm_ard_3-2-1_55GEM_2019-11-16_final.stac-item
2019-11-16 09:39:02	ga_s2bm_ard_3-2-1_55GCM_2019-11-16_final.stac-item
2019-11-19 09:48:58	ga_s2bm_ard_3-2-1_55GCM_2019-11-19_final.stac-item
2019-11-23 09:28:58	ga_s2bm_ard_3-2-1_55GEM_2019-11-22_final.stac-item
2019-12-06 09:38:54	ga_s2bm_ard_3-2-1_55GEM_2019-12-06_final.stac-item
2019-12-13 09:28:55	ga_s2bm_ard_3-2-1_55GEM_2019-12-12_final.stac-item
2019-12-16 09:38:54	ga_s2bm_ard_3-2-1_55GEM_2019-12-16_final.stac-item
2019-12-26 09:38:55	ga_s2bm_ard_3-2-1_55GEM_2019-12-26_final.stac-item
2020-01-05 09:38:59	ga_s2bm_ard_3-2-1_55GCM_2020-01-05_final.stac-item
2020-01-15 09:38:54	ga_s2bm_ard_3-2-1_55GEM_2020-01-15_final.stac-item
2020-01-15 09:38:58	ga_s2bm_ard_3-2-1_55GCM_2020-01-15_final.stac-item
2020-01-18 09:48:54	ga_s2bm_ard_3-2-1_55GCM_2020-01-18_final.stac-item
2020-01-25 09:38:57	ga_s2bm_ard_3-2-1_55GCM_2020-01-25_final.stac-item
2020-01-28 09:48:54	ga_s2bm_ard_3-2-1_55GCM_2020-01-28_final.stac-item
2020-02-04 09:38:53	ga_s2bm_ard_3-2-1_55GEM_2020-02-04_final.stac-item
2020-02-04 09:38:57	ga_s2bm_ard_3-2-1_55GCM_2020-02-04_final.stac-item
2020-02-07 09:48:54	ga_s2bm_ard_3-2-1_55GCM_2020-02-07_final.stac-item
2020-02-14 09:38:55	ga_s2bm_ard_3-2-1_55GEM_2020-02-14_final.stac-item
2020-02-14 09:38:59	ga_s2bm_ard_3-2-1_55GCM_2020-02-14_final.stac-item
2020-02-17 09:48:57	ga_s2bm_ard_3-2-1_55GCM_2020-02-17_final.stac-item
2020-02-24 09:39:01	ga_s2bm_ard_3-2-1_55GCM_2020-02-24_final.stac-item
2020-02-27 09:48:57	ga_s2bm_ard_3-2-1_55GCM_2020-02-27_final.stac-item
2020-03-05 09:38:57	ga_s2bm_ard_3-2-1_55GEM_2020-03-05_final.stac-item
2020-03-05 09:39:01	ga_s2bm_ard_3-2-1_55GCM_2020-03-05_final.stac-item
2020-03-08 09:48:59	ga_s2bm_ard_3-2-1_55GCM_2020-03-08_final.stac-item
2020-03-12 09:28:58	ga_s2bm_ard_3-2-1_55GEM_2020-03-11_final.stac-item
2020-03-15 09:38:57	ga_s2bm_ard_3-2-1_55GEM_2020-03-15_final.stac-item
2020-03-15 09:39:02	ga_s2bm_ard_3-2-1_55GCM_2020-03-15_final.stac-item
2020-03-18 09:48:58	ga_s2bm_ard_3-2-1_55GCM_2020-03-18_final.stac-item
2020-04-01 09:28:58	ga_s2bm_ard_3-2-1_55GEM_2020-03-31_final.stac-item
2020-04-04 09:39:01	ga_s2bm_ard_3-2-1_55GCM_2020-04-04_final.stac-item
2020-04-21 09:28:55	ga_s2bm_ard_3-2-1_55GEM_2020-04-20_final.stac-item
2020-04-24 09:38:54	ga_s2bm_ard_3-2-1_55GEM_2020-04-24_final.stac-item
2020-05-01 09:28:57	ga_s2bm_ard_3-2-1_55GEM_2020-04-30_final.stac-item
2020-05-04 09:38:56	ga_s2bm_ard_3-2-1_55GEM_2020-05-04_final.stac-item
2020-05-11 09:28:59	ga_s2bm_ard_3-2-1_55GEM_2020-05-10_final.stac-item
2020-05-14 09:38:59	ga_s2bm_ard_3-2-1_55GEM_2020-05-14_final.stac-item
2022-05-11 09:28:58	ga_s2bm_ard_3-2-1_55GEM_2022-05-10_final.stac-item
2022-05-21 09:29:01	ga_s2bm_ard_3-2-1_55GEM_2022-05-20_final.stac-item
2022-06-20 09:29:05	ga_s2bm_ard_3-2-1_55GEM_2022-06-19_final.stac-item
2022-07-20 09:29:06	ga_s2bm_ard_3-2-1_55GEM_2022-07-19_final.stac-item
2022-08-09 09:29:05	ga_s2bm_ard_3-2-1_55GEM_2022-08-08_final.stac-item
2022-08-19 09:29:03	ga_s2bm_ard_3-2-1_55GEM_2022-08-18_final.stac-item

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

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