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
2017-07-13 10:53:15	ga_s2bm_ard_3-2-1_52HGK_2017-07-13_final.stac-item
2017-08-02 10:53:14	ga_s2bm_ard_3-2-1_52HGK_2017-08-02_final.stac-item
2017-08-22 10:53:11	ga_s2bm_ard_3-2-1_52HGK_2017-08-22_final.stac-item
2017-09-11 10:53:06	ga_s2bm_ard_3-2-1_52HGK_2017-09-11_final.stac-item
2017-10-01 10:52:59	ga_s2bm_ard_3-2-1_52HGK_2017-10-01_final.stac-item
2017-10-21 10:53:01	ga_s2bm_ard_3-2-1_52HGK_2017-10-21_final.stac-item
2017-10-31 10:47:11	ga_s2bm_ard_3-2-1_52HGK_2017-10-31_final.stac-item
2017-11-20 10:55:15	ga_s2bm_ard_3-2-1_52HGK_2017-11-20_final.stac-item
2017-11-30 10:53:03	ga_s2bm_ard_3-2-1_52HGK_2017-11-30_final.stac-item
2017-12-10 10:47:13	ga_s2bm_ard_3-2-1_52HGK_2017-12-10_final.stac-item
2017-12-20 10:53:02	ga_s2bm_ard_3-2-1_52HGK_2017-12-20_final.stac-item
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_52HGK_2017-12-30_final.stac-item
2018-01-09 10:53:06	ga_s2bm_ard_3-2-1_52HGK_2018-01-09_final.stac-item
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_52HGK_2018-01-19_final.stac-item
2018-01-29 10:53:08	ga_s2bm_ard_3-2-1_52HGK_2018-01-29_final.stac-item
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_52HGK_2018-02-08_final.stac-item
2018-02-28 10:47:16	ga_s2bm_ard_3-2-1_52HGK_2018-02-28_final.stac-item
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52HGK_2018-03-10_final.stac-item
2018-03-20 10:51:09	ga_s2bm_ard_3-2-1_52HGK_2018-03-20_final.stac-item
2018-03-30 10:47:20	ga_s2bm_ard_3-2-1_52HGK_2018-03-30_final.stac-item
2018-04-09 10:50:37	ga_s2bm_ard_3-2-1_52HGK_2018-04-09_final.stac-item
2018-04-19 10:47:23	ga_s2bm_ard_3-2-1_52HGK_2018-04-19_final.stac-item
2018-04-29 10:47:24	ga_s2bm_ard_3-2-1_52HGK_2018-04-29_final.stac-item
2018-12-12 10:46:08	ga_s2bm_ard_3-2-1_52HGK_2018-12-12_final.stac-item
2019-01-01 10:46:12	ga_s2bm_ard_3-2-1_52HGK_2019-01-01_final.stac-item
2019-01-11 10:46:14	ga_s2bm_ard_3-2-1_52HGK_2019-01-11_final.stac-item
2019-01-21 10:46:15	ga_s2bm_ard_3-2-1_52HGK_2019-01-21_final.stac-item
2019-01-31 10:46:15	ga_s2bm_ard_3-2-1_52HGK_2019-01-31_final.stac-item
2019-02-10 10:46:15	ga_s2bm_ard_3-2-1_52HGK_2019-02-10_final.stac-item
2019-02-20 10:46:14	ga_s2bm_ard_3-2-1_52HGK_2019-02-20_final.stac-item
2019-03-02 10:46:13	ga_s2bm_ard_3-2-1_52HGK_2019-03-02_final.stac-item
2019-03-12 10:46:12	ga_s2bm_ard_3-2-1_52HGK_2019-03-12_final.stac-item
2019-03-22 10:46:15	ga_s2bm_ard_3-2-1_52HGK_2019-03-22_final.stac-item
2019-04-01 10:46:17	ga_s2bm_ard_3-2-1_52HGK_2019-04-01_final.stac-item
2019-04-11 10:46:19	ga_s2bm_ard_3-2-1_52HGK_2019-04-11_final.stac-item
2019-04-21 10:46:21	ga_s2bm_ard_3-2-1_52HGK_2019-04-21_final.stac-item
2019-05-01 10:46:22	ga_s2bm_ard_3-2-1_52HGK_2019-05-01_final.stac-item
2019-05-11 10:46:23	ga_s2bm_ard_3-2-1_52HGK_2019-05-11_final.stac-item
2019-05-31 10:46:23	ga_s2bm_ard_3-2-1_52HGK_2019-05-31_final.stac-item
2019-06-10 10:46:22	ga_s2bm_ard_3-2-1_52HGK_2019-06-10_final.stac-item
2019-06-20 10:46:23	ga_s2bm_ard_3-2-1_52HGK_2019-06-20_final.stac-item
2019-06-30 10:46:23	ga_s2bm_ard_3-2-1_52HGK_2019-06-30_final.stac-item
2019-07-10 10:46:24	ga_s2bm_ard_3-2-1_52HGK_2019-07-10_final.stac-item
2019-07-20 10:46:23	ga_s2bm_ard_3-2-1_52HGK_2019-07-20_final.stac-item
2019-07-30 10:46:23	ga_s2bm_ard_3-2-1_52HGK_2019-07-30_final.stac-item
2019-08-09 10:46:22	ga_s2bm_ard_3-2-1_52HGK_2019-08-09_final.stac-item
2019-08-19 10:46:21	ga_s2bm_ard_3-2-1_52HGK_2019-08-19_final.stac-item
2019-08-29 10:46:19	ga_s2bm_ard_3-2-1_52HGK_2019-08-29_final.stac-item
2019-09-08 10:46:17	ga_s2bm_ard_3-2-1_52HGK_2019-09-08_final.stac-item
2019-09-18 10:46:14	ga_s2bm_ard_3-2-1_52HGK_2019-09-18_final.stac-item
2019-09-28 10:46:15	ga_s2bm_ard_3-2-1_52HGK_2019-09-28_final.stac-item
2019-10-08 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2019-10-08_final.stac-item
2019-10-18 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2019-10-18_final.stac-item
2019-10-28 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2019-10-28_final.stac-item
2019-11-07 10:46:15	ga_s2bm_ard_3-2-1_52HGK_2019-11-07_final.stac-item
2019-11-17 10:46:13	ga_s2bm_ard_3-2-1_52HGK_2019-11-17_final.stac-item
2019-11-27 10:46:11	ga_s2bm_ard_3-2-1_52HGK_2019-11-27_final.stac-item
2019-12-07 10:46:09	ga_s2bm_ard_3-2-1_52HGK_2019-12-07_final.stac-item
2019-12-17 10:46:10	ga_s2bm_ard_3-2-1_52HGK_2019-12-17_final.stac-item
2019-12-27 10:46:10	ga_s2bm_ard_3-2-1_52HGK_2019-12-27_final.stac-item
2020-01-26 10:46:08	ga_s2bm_ard_3-2-1_52HGK_2020-01-26_final.stac-item
2020-02-05 10:46:09	ga_s2bm_ard_3-2-1_52HGK_2020-02-05_final.stac-item
2020-02-25 10:46:12	ga_s2bm_ard_3-2-1_52HGK_2020-02-25_final.stac-item
2020-03-16 10:46:13	ga_s2bm_ard_3-2-1_52HGK_2020-03-16_final.stac-item
2020-03-26 10:46:13	ga_s2bm_ard_3-2-1_52HGK_2020-03-26_final.stac-item
2020-05-05 10:46:12	ga_s2bm_ard_3-2-1_52HGK_2020-05-05_final.stac-item
2020-05-15 10:46:14	ga_s2bm_ard_3-2-1_52HGK_2020-05-15_final.stac-item
2020-05-25 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2020-05-25_final.stac-item
2020-06-04 10:46:17	ga_s2bm_ard_3-2-1_52HGK_2020-06-04_final.stac-item
2020-06-14 10:46:17	ga_s2bm_ard_3-2-1_52HGK_2020-06-14_final.stac-item
2020-06-24 10:46:17	ga_s2bm_ard_3-2-1_52HGK_2020-06-24_final.stac-item
2020-07-04 10:46:17	ga_s2bm_ard_3-2-1_52HGK_2020-07-04_final.stac-item
2020-07-24 10:46:17	ga_s2bm_ard_3-2-1_52HGK_2020-07-24_final.stac-item
2020-08-03 10:46:18	ga_s2bm_ard_3-2-1_52HGK_2020-08-03_final.stac-item
2020-08-23 10:46:18	ga_s2bm_ard_3-2-1_52HGK_2020-08-23_final.stac-item
2020-09-02 10:46:18	ga_s2bm_ard_3-2-1_52HGK_2020-09-02_final.stac-item
2020-09-12 10:46:17	ga_s2bm_ard_3-2-1_52HGK_2020-09-12_final.stac-item
2020-09-22 10:46:17	ga_s2bm_ard_3-2-1_52HGK_2020-09-22_final.stac-item
2020-10-02 10:46:18	ga_s2bm_ard_3-2-1_52HGK_2020-10-02_final.stac-item
2020-10-12 10:46:19	ga_s2bm_ard_3-2-1_52HGK_2020-10-12_final.stac-item
2020-10-22 10:46:18	ga_s2bm_ard_3-2-1_52HGK_2020-10-22_final.stac-item
2020-11-01 10:46:18	ga_s2bm_ard_3-2-1_52HGK_2020-11-01_final.stac-item
2020-11-11 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2020-11-11_final.stac-item
2020-12-01 10:46:14	ga_s2bm_ard_3-2-1_52HGK_2020-12-01_final.stac-item
2020-12-21 10:46:11	ga_s2bm_ard_3-2-1_52HGK_2020-12-21_final.stac-item
2020-12-31 10:46:13	ga_s2bm_ard_3-2-1_52HGK_2020-12-31_final.stac-item
2021-02-19 10:46:12	ga_s2bm_ard_3-2-1_52HGK_2021-02-19_final.stac-item
2021-03-01 10:46:14	ga_s2bm_ard_3-2-1_52HGK_2021-03-01_final.stac-item
2021-03-11 10:46:14	ga_s2bm_ard_3-2-1_52HGK_2021-03-11_final.stac-item
2021-05-10 10:46:13	ga_s2bm_ard_3-2-1_52HGK_2021-05-10_final.stac-item
2021-05-20 10:46:15	ga_s2bm_ard_3-2-1_52HGK_2021-05-20_final.stac-item
2021-05-30 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2021-05-30_final.stac-item
2021-06-09 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2021-06-09_final.stac-item
2021-06-19 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2021-06-19_final.stac-item
2021-06-29 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2021-06-29_final.stac-item
2021-07-09 10:46:17	ga_s2bm_ard_3-2-1_52HGK_2021-07-09_final.stac-item
2021-08-18 10:46:14	ga_s2bm_ard_3-2-1_52HGK_2021-08-18_final.stac-item
2021-08-28 10:46:13	ga_s2bm_ard_3-2-1_52HGK_2021-08-28_final.stac-item
2021-09-07 10:46:11	ga_s2bm_ard_3-2-1_52HGK_2021-09-07_final.stac-item
2021-09-17 10:46:11	ga_s2bm_ard_3-2-1_52HGK_2021-09-17_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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