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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
2015-08-30 09:54:50	ga_s2am_ard_3-2-1_55JEF_2015-08-30_final.stac-item
2015-09-09 09:54:52	ga_s2am_ard_3-2-1_55JEF_2015-09-09_final.stac-item
2015-09-19 09:54:53	ga_s2am_ard_3-2-1_55JEF_2015-09-19_final.stac-item
2015-09-29 09:54:28	ga_s2am_ard_3-2-1_55JEF_2015-09-29_final.stac-item
2015-11-18 09:54:04	ga_s2am_ard_3-2-1_55JEF_2015-11-18_final.stac-item
2015-11-28 09:47:27	ga_s2am_ard_3-2-1_55JEF_2015-11-28_final.stac-item
2015-12-28 09:58:43	ga_s2am_ard_3-2-1_55JEF_2015-12-28_final.stac-item
2016-01-14 09:49:02	ga_s2am_ard_3-2-1_55JEF_2016-01-14_final.stac-item
2016-02-13 09:42:09	ga_s2am_ard_3-2-1_55JEF_2016-02-13_final.stac-item
2016-03-14 09:42:09	ga_s2am_ard_3-2-1_55JEF_2016-03-14_final.stac-item
2016-03-27 09:55:10	ga_s2am_ard_3-2-1_55JEF_2016-03-27_final.stac-item
2016-04-13 09:42:12	ga_s2am_ard_3-2-1_55JEF_2016-04-13_final.stac-item
2016-04-26 09:51:11	ga_s2am_ard_3-2-1_55JEF_2016-04-26_final.stac-item
2016-05-06 09:52:47	ga_s2am_ard_3-2-1_55JEF_2016-05-06_final.stac-item
2016-05-26 09:52:48	ga_s2am_ard_3-2-1_55JEF_2016-05-26_final.stac-item
2016-06-02 09:42:18	ga_s2am_ard_3-2-1_55JEF_2016-06-02_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55JEF_2016-06-15_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55JEF_2016-06-22_final.stac-item
2016-08-01 09:42:53	ga_s2am_ard_3-2-1_55JEF_2016-08-01_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55JEF_2016-08-14_final.stac-item
2016-08-21 09:44:28	ga_s2am_ard_3-2-1_55JEF_2016-08-21_final.stac-item
2016-09-03 09:52:32	ga_s2am_ard_3-2-1_55JEF_2016-09-03_final.stac-item
2016-09-10 09:42:11	ga_s2am_ard_3-2-1_55JEF_2016-09-10_final.stac-item
2016-09-23 09:52:34	ga_s2am_ard_3-2-1_55JEF_2016-09-23_final.stac-item
2016-09-30 09:42:08	ga_s2am_ard_3-2-1_55JEF_2016-09-30_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JEF_2016-10-13_final.stac-item
2016-10-20 09:43:09	ga_s2am_ard_3-2-1_55JEF_2016-10-20_final.stac-item
2016-10-30 09:43:26	ga_s2am_ard_3-2-1_55JEF_2016-10-30_final.stac-item
2016-11-02 09:53:27	ga_s2am_ard_3-2-1_55JEF_2016-11-02_final.stac-item
2016-11-09 09:42:11	ga_s2am_ard_3-2-1_55JEF_2016-11-09_final.stac-item
2016-11-19 09:42:43	ga_s2am_ard_3-2-1_55JEF_2016-11-19_final
2016-11-22 09:55:06	ga_s2am_ard_3-2-1_55JEF_2016-11-22_final.stac-item
2016-12-02 09:51:03	ga_s2am_ard_3-2-1_55JEF_2016-12-02_final.stac-item
2016-12-09 09:43:25	ga_s2am_ard_3-2-1_55JEF_2016-12-09_final
2016-12-12 09:51:01	ga_s2am_ard_3-2-1_55JEF_2016-12-12_final
2016-12-19 09:43:23	ga_s2am_ard_3-2-1_55JEF_2016-12-19_final
2016-12-29 09:43:23	ga_s2am_ard_3-2-1_55JEF_2016-12-29_final
2017-01-01 09:52:33	ga_s2am_ard_3-2-1_55JEF_2017-01-01_final
2017-01-11 09:54:25	ga_s2am_ard_3-2-1_55JEF_2017-01-11_final
2017-01-18 09:42:50	ga_s2am_ard_3-2-1_55JEF_2017-01-18_final
2017-01-28 09:45:06	ga_s2am_ard_3-2-1_55JEF_2017-01-28_final
2017-02-07 09:42:07	ga_s2am_ard_3-2-1_55JEF_2017-02-07_final.stac-item
2017-02-17 09:42:07	ga_s2am_ard_3-2-1_55JEF_2017-02-17_final
2017-02-20 09:53:49	ga_s2am_ard_3-2-1_55JEF_2017-02-20_final
2017-03-02 09:53:37	ga_s2am_ard_3-2-1_55JEF_2017-03-02_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55JEF_2017-03-09_final
2017-03-22 09:52:39	ga_s2am_ard_3-2-1_55JEF_2017-03-22_final
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55JEF_2017-03-29_final.stac-item
2017-04-11 09:52:34	ga_s2am_ard_3-2-1_55JEF_2017-04-11_final.stac-item
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_55JEF_2017-04-18_final.stac-item
2017-05-01 09:52:37	ga_s2am_ard_3-2-1_55JEF_2017-05-01_final
2017-05-08 09:42:15	ga_s2am_ard_3-2-1_55JEF_2017-05-08_final
2017-05-21 09:52:38	ga_s2am_ard_3-2-1_55JEF_2017-05-21_final
2017-05-28 09:42:15	ga_s2am_ard_3-2-1_55JEF_2017-05-28_final
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_55JEF_2017-06-10_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_55JEF_2017-06-17_final
2017-06-30 09:52:34	ga_s2am_ard_3-2-1_55JEF_2017-06-30_final
2017-07-07 09:42:12	ga_s2am_ard_3-2-1_55JEF_2017-07-07_final
2017-07-20 09:52:25	ga_s2am_ard_3-2-1_55JEF_2017-07-20_final
2017-07-27 09:42:14	ga_s2am_ard_3-2-1_55JEF_2017-07-27_final
2017-08-09 09:54:07	ga_s2am_ard_3-2-1_55JEF_2017-08-09_final
2017-08-16 09:43:54	ga_s2am_ard_3-2-1_55JEF_2017-08-16_final
2017-09-05 09:43:53	ga_s2am_ard_3-2-1_55JEF_2017-09-05_final
2021-05-02 10:35:50	ga_s2am_ard_3-2-1_53JNF_2021-05-02_final
2021-05-12 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-05-12_final
2021-05-22 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-05-22_final
2021-06-01 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-06-01_final
2021-06-11 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-06-11_final
2021-06-21 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-06-21_final
2021-07-01 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-07-01_final
2021-07-11 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-07-11_final
2021-07-21 10:35:56	ga_s2am_ard_3-2-1_53JNF_2021-07-21_final
2021-07-31 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-07-31_final
2021-08-10 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-08-10_final
2021-08-19 09:25:32	ga_s2am_ard_3-2-1_56JLL_2021-08-18_final
2021-08-20 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-08-20_final
2021-08-29 09:25:31	ga_s2am_ard_3-2-1_56JLL_2021-08-28_final
2021-08-30 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-08-30_final
2021-09-08 09:25:30	ga_s2am_ard_3-2-1_56JLL_2021-09-07_final
2021-09-09 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-09-09_final
2021-09-19 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-09-19_final
2021-09-29 10:35:56	ga_s2am_ard_3-2-1_53JNF_2021-09-29_final
2021-10-09 10:35:57	ga_s2am_ard_3-2-1_53JNF_2021-10-09_final
2021-10-19 10:35:58	ga_s2am_ard_3-2-1_53JNF_2021-10-19_final
2021-10-29 10:35:57	ga_s2am_ard_3-2-1_53JNF_2021-10-29_final
2021-11-08 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-11-08_final
2021-11-18 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-11-18_final
2021-11-28 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-11-28_final
2021-12-08 10:35:51	ga_s2am_ard_3-2-1_53JNF_2021-12-08_final
2021-12-18 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-12-18_final
2021-12-27 09:25:31	ga_s2am_ard_3-2-1_56JLL_2021-12-26_final
2021-12-28 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-12-28_final
2022-03-07 09:25:33	ga_s2am_ard_3-2-1_56JLL_2022-03-06_final
2022-04-16 09:25:33	ga_s2am_ard_3-2-1_56JLL_2022-04-15_final
2022-05-06 09:25:34	ga_s2am_ard_3-2-1_56JLL_2022-05-05_final
2022-05-16 09:25:34	ga_s2am_ard_3-2-1_56JLL_2022-05-15_final
2022-05-26 09:25:37	ga_s2am_ard_3-2-1_56JLL_2022-05-25_final
2022-06-15 09:25:40	ga_s2am_ard_3-2-1_56JLL_2022-06-14_final
2022-06-25 09:25:42	ga_s2am_ard_3-2-1_56JLL_2022-06-24_final
2022-07-25 09:25:40	ga_s2am_ard_3-2-1_56JLL_2022-07-24_final

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

All years