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
2017-07-15 09:58:00	ga_s2bm_ard_3-2-1_55GBQ_2017-07-15_final.stac-item
2017-08-04 09:58:02	ga_s2bm_ard_3-2-1_55GBQ_2017-08-04_final.stac-item
2017-08-24 09:57:59	ga_s2bm_ard_3-2-1_55GBQ_2017-08-24_final.stac-item
2017-09-13 09:54:18	ga_s2bm_ard_3-2-1_55GBQ_2017-09-13_final.stac-item
2017-10-03 09:54:00	ga_s2bm_ard_3-2-1_55GBQ_2017-10-03_final.stac-item
2017-10-23 09:54:03	ga_s2bm_ard_3-2-1_55GBQ_2017-10-23_final.stac-item
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55GBQ_2017-11-02_final.stac-item
2017-11-12 09:54:25	ga_s2bm_ard_3-2-1_55GBQ_2017-11-12_final.stac-item
2017-11-22 09:51:43	ga_s2bm_ard_3-2-1_55GBQ_2017-11-22_final.stac-item
2017-12-02 09:52:46	ga_s2bm_ard_3-2-1_55GBQ_2017-12-02_final.stac-item
2017-12-12 09:51:43	ga_s2bm_ard_3-2-1_55GBQ_2017-12-12_final.stac-item
2017-12-22 09:52:45	ga_s2bm_ard_3-2-1_55GBQ_2017-12-22_final.stac-item
2018-01-01 09:51:45	ga_s2bm_ard_3-2-1_55GBQ_2018-01-01_final.stac-item
2018-01-11 09:52:49	ga_s2bm_ard_3-2-1_55GBQ_2018-01-11_final.stac-item
2018-01-21 09:51:48	ga_s2bm_ard_3-2-1_55GBQ_2018-01-21_final.stac-item
2018-01-31 09:52:50	ga_s2bm_ard_3-2-1_55GBQ_2018-01-31_final.stac-item
2018-02-10 09:51:50	ga_s2bm_ard_3-2-1_55GBQ_2018-02-10_final.stac-item
2018-02-20 09:52:38	ga_s2bm_ard_3-2-1_55GBQ_2018-02-20_final.stac-item
2018-02-20 09:58:06	ga_s2bm_ard_3-2-1_55GBQ_2018-02-20_final.stac-item
2018-03-02 09:51:46	ga_s2bm_ard_3-2-1_55GBQ_2018-03-02_final.stac-item
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_55GBQ_2018-03-12_final.stac-item
2018-03-22 09:57:28	ga_s2bm_ard_3-2-1_55GBQ_2018-03-22_final.stac-item
2018-04-01 09:50:50	ga_s2bm_ard_3-2-1_55GBQ_2018-04-01_final.stac-item
2018-04-11 09:50:52	ga_s2bm_ard_3-2-1_55GBQ_2018-04-11_final.stac-item
2018-04-21 09:50:53	ga_s2bm_ard_3-2-1_55GBQ_2018-04-21_final.stac-item
2018-05-11 09:50:53	ga_s2bm_ard_3-2-1_55GBQ_2018-05-11_final.stac-item
2018-05-21 09:50:52	ga_s2bm_ard_3-2-1_55GBQ_2018-05-21_final.stac-item
2018-05-31 09:56:16	ga_s2bm_ard_3-2-1_55GBQ_2018-05-31_final.stac-item
2018-06-10 09:56:17	ga_s2bm_ard_3-2-1_55GBQ_2018-06-10_final.stac-item
2018-06-20 09:56:14	ga_s2bm_ard_3-2-1_55GBQ_2018-06-20_final.stac-item
2018-06-30 09:57:55	ga_s2bm_ard_3-2-1_55GBQ_2018-06-30_final.stac-item
2018-07-10 09:53:10	ga_s2bm_ard_3-2-1_55GBQ_2018-07-10_final.stac-item
2018-07-20 09:54:14	ga_s2bm_ard_3-2-1_55GBQ_2018-07-20_final.stac-item
2018-07-30 09:52:43	ga_s2bm_ard_3-2-1_55GBQ_2018-07-30_final.stac-item
2018-08-09 09:54:29	ga_s2bm_ard_3-2-1_55GBQ_2018-08-09_final.stac-item
2018-08-19 09:54:27	ga_s2bm_ard_3-2-1_55GBQ_2018-08-19_final.stac-item
2018-08-29 09:55:59	ga_s2bm_ard_3-2-1_55GBQ_2018-08-29_final.stac-item
2018-09-08 09:54:21	ga_s2bm_ard_3-2-1_55GBQ_2018-09-08_final.stac-item
2018-09-18 09:56:03	ga_s2bm_ard_3-2-1_55GBQ_2018-09-18_final.stac-item
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55GBQ_2018-09-28_final.stac-item
2018-10-08 09:54:30	ga_s2bm_ard_3-2-1_55GBQ_2018-10-08_final.stac-item
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55GBQ_2018-10-18_final.stac-item
2018-10-28 09:53:42	ga_s2bm_ard_3-2-1_55GBQ_2018-10-28_final.stac-item
2018-11-07 09:58:17	ga_s2bm_ard_3-2-1_55GBQ_2018-11-07_final.stac-item
2018-11-17 09:58:16	ga_s2bm_ard_3-2-1_55GBQ_2018-11-17_final.stac-item
2018-11-27 09:58:15	ga_s2bm_ard_3-2-1_55GBQ_2018-11-27_final.stac-item
2018-12-07 09:58:14	ga_s2bm_ard_3-2-1_55GBQ_2018-12-07_final.stac-item
2018-12-17 09:58:14	ga_s2bm_ard_3-2-1_55GBQ_2018-12-17_final.stac-item
2019-01-16 09:58:19	ga_s2bm_ard_3-2-1_55GBQ_2019-01-16_final.stac-item
2019-02-25 09:58:18	ga_s2bm_ard_3-2-1_55GBQ_2019-02-25_final.stac-item
2019-05-06 09:58:27	ga_s2bm_ard_3-2-1_55GBQ_2019-05-06_final.stac-item
2019-05-16 09:58:28	ga_s2bm_ard_3-2-1_55GBQ_2019-05-16_final.stac-item
2019-06-25 09:58:27	ga_s2bm_ard_3-2-1_55GBQ_2019-06-25_final.stac-item
2019-07-15 09:58:28	ga_s2bm_ard_3-2-1_55GBQ_2019-07-15_final.stac-item
2019-08-04 09:58:27	ga_s2bm_ard_3-2-1_55GBQ_2019-08-04_final.stac-item
2019-08-14 09:58:26	ga_s2bm_ard_3-2-1_55GBQ_2019-08-14_final.stac-item
2019-08-24 09:58:24	ga_s2bm_ard_3-2-1_55GBQ_2019-08-24_final.stac-item
2019-09-23 09:58:19	ga_s2bm_ard_3-2-1_55GBQ_2019-09-23_final.stac-item
2019-10-03 09:58:20	ga_s2bm_ard_3-2-1_55GBQ_2019-10-03_final.stac-item
2019-10-23 09:58:20	ga_s2bm_ard_3-2-1_55GBQ_2019-10-23_final.stac-item
2019-11-02 09:58:20	ga_s2bm_ard_3-2-1_55GBQ_2019-11-02_final.stac-item
2019-11-12 09:58:18	ga_s2bm_ard_3-2-1_55GBQ_2019-11-12_final.stac-item
2019-11-22 09:58:16	ga_s2bm_ard_3-2-1_55GBQ_2019-11-22_final.stac-item
2019-12-22 09:58:14	ga_s2bm_ard_3-2-1_55GBQ_2019-12-22_final.stac-item
2020-01-01 09:58:14	ga_s2bm_ard_3-2-1_55GBQ_2020-01-01_final.stac-item
2020-01-11 09:58:14	ga_s2bm_ard_3-2-1_55GBQ_2020-01-11_final.stac-item
2020-01-21 09:58:13	ga_s2bm_ard_3-2-1_55GBQ_2020-01-21_final.stac-item
2020-01-31 09:58:12	ga_s2bm_ard_3-2-1_55GBQ_2020-01-31_final.stac-item
2020-02-10 09:58:14	ga_s2bm_ard_3-2-1_55GBQ_2020-02-10_final.stac-item
2020-02-20 09:58:15	ga_s2bm_ard_3-2-1_55GBQ_2020-02-20_final.stac-item
2020-03-01 09:58:17	ga_s2bm_ard_3-2-1_55GBQ_2020-03-01_final.stac-item
2020-03-11 09:58:17	ga_s2bm_ard_3-2-1_55GBQ_2020-03-11_final.stac-item
2020-03-21 09:58:17	ga_s2bm_ard_3-2-1_55GBQ_2020-03-21_final.stac-item
2020-03-31 09:58:17	ga_s2bm_ard_3-2-1_55GBQ_2020-03-31_final.stac-item
2020-04-10 09:58:16	ga_s2bm_ard_3-2-1_55GBQ_2020-04-10_final.stac-item
2020-04-20 09:58:14	ga_s2bm_ard_3-2-1_55GBQ_2020-04-20_final.stac-item
2020-04-30 09:58:15	ga_s2bm_ard_3-2-1_55GBQ_2020-04-30_final.stac-item
2020-05-10 09:58:18	ga_s2bm_ard_3-2-1_55GBQ_2020-05-10_final.stac-item
2020-05-20 09:58:19	ga_s2bm_ard_3-2-1_55GBQ_2020-05-20_final.stac-item
2020-05-27 09:48:24	ga_s2bm_ard_3-2-1_55GBQ_2020-05-27_final.stac-item
2020-05-30 09:58:21	ga_s2bm_ard_3-2-1_55GBQ_2020-05-30_final.stac-item
2020-06-09 09:58:21	ga_s2bm_ard_3-2-1_55GBQ_2020-06-09_final.stac-item
2020-06-19 09:58:22	ga_s2bm_ard_3-2-1_55GBQ_2020-06-19_final.stac-item
2020-06-29 09:58:22	ga_s2bm_ard_3-2-1_55GBQ_2020-06-29_final.stac-item
2020-07-06 09:48:25	ga_s2bm_ard_3-2-1_55GBQ_2020-07-06_final.stac-item
2020-07-09 09:58:21	ga_s2bm_ard_3-2-1_55GBQ_2020-07-09_final.stac-item
2020-07-16 09:48:24	ga_s2bm_ard_3-2-1_55GBQ_2020-07-16_final.stac-item
2020-07-19 09:58:21	ga_s2bm_ard_3-2-1_55GBQ_2020-07-19_final.stac-item
2020-07-26 09:48:26	ga_s2bm_ard_3-2-1_55GBQ_2020-07-26_final.stac-item
2020-07-29 09:58:22	ga_s2bm_ard_3-2-1_55GBQ_2020-07-29_final.stac-item
2020-08-05 09:48:26	ga_s2bm_ard_3-2-1_55GBQ_2020-08-05_final.stac-item
2020-08-08 09:58:23	ga_s2bm_ard_3-2-1_55GBQ_2020-08-08_final.stac-item
2020-08-18 09:58:23	ga_s2bm_ard_3-2-1_55GBQ_2020-08-18_final.stac-item
2020-08-25 09:48:27	ga_s2bm_ard_3-2-1_55GBQ_2020-08-25_final.stac-item
2020-08-28 09:58:23	ga_s2bm_ard_3-2-1_55GBQ_2020-08-28_final.stac-item
2020-09-24 09:48:26	ga_s2bm_ard_3-2-1_55GBQ_2020-09-24_final.stac-item
2020-10-04 09:48:27	ga_s2bm_ard_3-2-1_55GBQ_2020-10-04_final.stac-item
2020-10-14 09:48:27	ga_s2bm_ard_3-2-1_55GBQ_2020-10-14_final.stac-item
2020-10-24 09:48:27	ga_s2bm_ard_3-2-1_55GBQ_2020-10-24_final.stac-item
2020-11-03 09:48:26	ga_s2bm_ard_3-2-1_55GBQ_2020-11-03_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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