Search ga_s2am_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
2015-08-27 09:44:53	ga_s2am_ard_3-2-1_55JEG_2015-08-27_final.stac-item
2015-10-06 09:44:56	ga_s2am_ard_3-2-1_55JEG_2015-10-06_final.stac-item
2016-01-14 09:49:02	ga_s2am_ard_3-2-1_55JEG_2016-01-14_final.stac-item
2016-02-13 09:42:09	ga_s2am_ard_3-2-1_55JEG_2016-02-13_final.stac-item
2016-03-14 09:42:09	ga_s2am_ard_3-2-1_55JEG_2016-03-14_final.stac-item
2016-04-13 09:42:12	ga_s2am_ard_3-2-1_55JEG_2016-04-13_final.stac-item
2016-06-02 09:42:18	ga_s2am_ard_3-2-1_55JEG_2016-06-02_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55JEG_2016-06-22_final.stac-item
2016-08-01 09:42:53	ga_s2am_ard_3-2-1_55JEG_2016-08-01_final.stac-item
2016-08-21 09:44:28	ga_s2am_ard_3-2-1_55JEG_2016-08-21_final.stac-item
2016-09-10 09:42:11	ga_s2am_ard_3-2-1_55JEG_2016-09-10_final.stac-item
2016-09-30 09:42:08	ga_s2am_ard_3-2-1_55JEG_2016-09-30_final.stac-item
2016-10-20 09:43:09	ga_s2am_ard_3-2-1_55JEG_2016-10-20_final.stac-item
2016-10-30 09:43:26	ga_s2am_ard_3-2-1_55JEG_2016-10-30_final.stac-item
2016-11-09 09:42:11	ga_s2am_ard_3-2-1_55JEG_2016-11-09_final.stac-item
2016-11-19 09:42:43	ga_s2am_ard_3-2-1_55JEG_2016-11-19_final
2016-12-09 09:43:25	ga_s2am_ard_3-2-1_55JEG_2016-12-09_final
2016-12-19 09:43:23	ga_s2am_ard_3-2-1_55JEG_2016-12-19_final
2016-12-29 09:43:23	ga_s2am_ard_3-2-1_55JEG_2016-12-29_final
2017-01-18 09:42:50	ga_s2am_ard_3-2-1_55JEG_2017-01-18_final
2017-01-28 09:43:47	ga_s2am_ard_3-2-1_55JEG_2017-01-28_final
2017-01-28 09:45:06	ga_s2am_ard_3-2-1_55JEG_2017-01-28_final
2017-02-07 09:42:07	ga_s2am_ard_3-2-1_55JEG_2017-02-07_final.stac-item
2017-02-17 09:42:07	ga_s2am_ard_3-2-1_55JEG_2017-02-17_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JEG_2017-03-09_final
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55JEG_2017-03-29_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_55JEG_2017-04-18_final.stac-item
2017-05-08 09:42:15	ga_s2am_ard_3-2-1_55JEG_2017-05-08_final
2017-05-28 09:42:15	ga_s2am_ard_3-2-1_55JEG_2017-05-28_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_55JEG_2017-06-17_final
2017-07-07 09:42:12	ga_s2am_ard_3-2-1_55JEG_2017-07-07_final
2017-07-27 09:42:14	ga_s2am_ard_3-2-1_55JEG_2017-07-27_final
2017-08-16 09:43:54	ga_s2am_ard_3-2-1_55JEG_2017-08-16_final
2017-09-05 09:43:53	ga_s2am_ard_3-2-1_55JEG_2017-09-05_final
2017-09-25 09:44:52	ga_s2am_ard_3-2-1_55JEG_2017-09-25_final
2017-10-15 09:44:55	ga_s2am_ard_3-2-1_55JEG_2017-10-15_final
2017-11-04 09:44:55	ga_s2am_ard_3-2-1_55JEG_2017-11-04_final
2017-11-24 09:42:46	ga_s2am_ard_3-2-1_55JEG_2017-11-24_final
2017-12-14 09:42:44	ga_s2am_ard_3-2-1_55JEG_2017-12-14_final
2018-01-03 09:42:43	ga_s2am_ard_3-2-1_55JEG_2018-01-03_final
2018-01-23 09:42:44	ga_s2am_ard_3-2-1_55JEG_2018-01-23_final
2018-02-12 09:41:05	ga_s2am_ard_3-2-1_55JEG_2018-02-12_final
2018-02-22 09:42:24	ga_s2am_ard_3-2-1_55JEG_2018-02-22_final
2018-03-04 09:41:05	ga_s2am_ard_3-2-1_55JEG_2018-03-04_final
2018-03-14 09:41:04	ga_s2am_ard_3-2-1_55JEG_2018-03-14_final
2018-03-24 09:42:28	ga_s2am_ard_3-2-1_55JEG_2018-03-24_final
2018-04-03 09:41:08	ga_s2am_ard_3-2-1_55JEG_2018-04-03_final
2018-04-13 09:41:10	ga_s2am_ard_3-2-1_55JEG_2018-04-13_final
2018-04-23 09:42:37	ga_s2am_ard_3-2-1_55JEG_2018-04-23_final
2018-05-03 09:41:11	ga_s2am_ard_3-2-1_55JEG_2018-05-03_final
2018-05-13 09:41:18	ga_s2am_ard_3-2-1_55JEG_2018-05-13_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55JEG_2018-05-23_final
2018-06-02 09:41:10	ga_s2am_ard_3-2-1_55JEG_2018-06-02_final
2018-06-12 09:41:08	ga_s2am_ard_3-2-1_55JEG_2018-06-12_final
2018-06-22 09:41:09	ga_s2am_ard_3-2-1_55JEG_2018-06-22_final
2018-07-12 09:41:10	ga_s2am_ard_3-2-1_55JEG_2018-07-12_final
2018-07-22 09:41:21	ga_s2am_ard_3-2-1_55JEG_2018-07-22_final
2023-05-07 09:45:19	ga_s2am_ard_3-2-1_55JEG_2023-05-07_final.stac-item
2023-05-17 09:45:20	ga_s2am_ard_3-2-1_55JEG_2023-05-17_final.stac-item
2023-05-27 09:45:28	ga_s2am_ard_3-2-1_55JEG_2023-05-27_final.stac-item
2023-06-06 09:45:18	ga_s2am_ard_3-2-1_55JEG_2023-06-06_final.stac-item
2023-06-06 09:45:25	ga_s2am_ard_3-2-1_55JEG_2023-06-06_final.stac-item
2023-06-16 09:45:23	ga_s2am_ard_3-2-1_55JEG_2023-06-16_final.stac-item
2023-06-26 09:45:22	ga_s2am_ard_3-2-1_55JEG_2023-06-26_final.stac-item
2023-07-06 09:45:24	ga_s2am_ard_3-2-1_55JEG_2023-07-06_final.stac-item
2023-07-16 09:45:15	ga_s2am_ard_3-2-1_55JEG_2023-07-16_final.stac-item
2023-07-16 09:45:24	ga_s2am_ard_3-2-1_55JEG_2023-07-16_final.stac-item
2023-07-26 09:45:24	ga_s2am_ard_3-2-1_55JEG_2023-07-26_final.stac-item
2023-08-05 09:45:24	ga_s2am_ard_3-2-1_55JEG_2023-08-05_final.stac-item
2023-08-15 09:45:24	ga_s2am_ard_3-2-1_55JEG_2023-08-15_final.stac-item
2023-08-25 09:45:16	ga_s2am_ard_3-2-1_55JEG_2023-08-25_final.stac-item
2023-08-25 09:45:25	ga_s2am_ard_3-2-1_55JEG_2023-08-25_final.stac-item
2023-09-04 09:45:24	ga_s2am_ard_3-2-1_55JEG_2023-09-04_final.stac-item
2023-09-14 09:45:23	ga_s2am_ard_3-2-1_55JEG_2023-09-14_final.stac-item
2023-09-24 09:45:21	ga_s2am_ard_3-2-1_55JEG_2023-09-24_final.stac-item
2023-10-04 09:45:20	ga_s2am_ard_3-2-1_55JEG_2023-10-04_final.stac-item
2023-10-14 09:45:17	ga_s2am_ard_3-2-1_55JEG_2023-10-14_final.stac-item
2023-10-24 09:45:19	ga_s2am_ard_3-2-1_55JEG_2023-10-24_final.stac-item
2023-11-03 09:45:17	ga_s2am_ard_3-2-1_55JEG_2023-11-03_final.stac-item
2023-11-10 09:38:30	ga_s2am_ard_3-2-1_55GEP_2023-11-10_final.stac-item
2023-11-13 09:45:18	ga_s2am_ard_3-2-1_55JEG_2023-11-13_final.stac-item
2023-11-20 09:38:28	ga_s2am_ard_3-2-1_55GEP_2023-11-20_final.stac-item
2023-11-23 09:45:14	ga_s2am_ard_3-2-1_55JEG_2023-11-23_final.stac-item
2023-12-03 09:45:11	ga_s2am_ard_3-2-1_55JEG_2023-12-03_final.stac-item
2023-12-13 09:45:14	ga_s2am_ard_3-2-1_55JEG_2023-12-13_final.stac-item
2023-12-23 09:45:15	ga_s2am_ard_3-2-1_55JEG_2023-12-23_final.stac-item
2024-01-02 09:45:16	ga_s2am_ard_3-2-1_55JEG_2024-01-02_final.stac-item
2024-01-12 09:45:13	ga_s2am_ard_3-2-1_55JEG_2024-01-12_final.stac-item
2024-01-22 09:45:11	ga_s2am_ard_3-2-1_55JEG_2024-01-22_final.stac-item
2024-02-01 09:45:14	ga_s2am_ard_3-2-1_55JEG_2024-02-01_final.stac-item
2024-02-11 09:45:15	ga_s2am_ard_3-2-1_55JEG_2024-02-11_final.stac-item
2024-02-21 09:45:17	ga_s2am_ard_3-2-1_55JEG_2024-02-21_final.stac-item
2024-03-02 09:45:19	ga_s2am_ard_3-2-1_55JEG_2024-03-02_final.stac-item
2024-03-12 09:45:19	ga_s2am_ard_3-2-1_55JEG_2024-03-12_final.stac-item
2024-03-22 09:45:20	ga_s2am_ard_3-2-1_55JEG_2024-03-22_final.stac-item
2024-04-01 09:45:18	ga_s2am_ard_3-2-1_55JEG_2024-04-01_final.stac-item
2024-04-11 09:45:19	ga_s2am_ard_3-2-1_55JEG_2024-04-11_final.stac-item
2024-04-21 09:45:22	ga_s2am_ard_3-2-1_55JEG_2024-04-21_final.stac-item
2024-05-01 09:45:22	ga_s2am_ard_3-2-1_55JEG_2024-05-01_final.stac-item
2024-05-11 09:45:22	ga_s2am_ard_3-2-1_55JEG_2024-05-11_nrt.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A 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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