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
2015-10-22 10:01:26	ga_s2am_ard_3-2-1_54JZT_2015-10-22_final.stac-item
2015-12-11 09:59:08	ga_s2am_ard_3-2-1_54JZT_2015-12-11_final.stac-item
2016-02-09 10:03:07	ga_s2am_ard_3-2-1_54JZT_2016-02-09_final.stac-item
2016-03-10 10:00:28	ga_s2am_ard_3-2-1_54JZT_2016-03-10_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_54JZT_2016-04-09_final.stac-item
2016-05-19 10:01:47	ga_s2am_ard_3-2-1_54JZT_2016-05-19_final.stac-item
2016-06-08 10:01:45	ga_s2am_ard_3-2-1_54JZT_2016-06-08_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54JZT_2016-06-21_final.stac-item
2016-06-28 10:01:43	ga_s2am_ard_3-2-1_54JZT_2016-06-28_final.stac-item
2016-07-18 10:01:45	ga_s2am_ard_3-2-1_54JZT_2016-07-18_final.stac-item
2016-08-07 10:01:45	ga_s2am_ard_3-2-1_54JZT_2016-08-07_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_54JZT_2016-08-27_final.stac-item
2016-09-16 10:01:37	ga_s2am_ard_3-2-1_54JZT_2016-09-16_final.stac-item
2016-10-06 10:01:37	ga_s2am_ard_3-2-1_54JZT_2016-10-06_final.stac-item
2016-10-19 10:12:09	ga_s2am_ard_3-2-1_54JZT_2016-10-19_final.stac-item
2016-10-26 10:01:20	ga_s2am_ard_3-2-1_54JZT_2016-10-26_final.stac-item
2016-11-15 10:03:10	ga_s2am_ard_3-2-1_54JZT_2016-11-15_final.stac-item
2016-11-25 10:00:42	ga_s2am_ard_3-2-1_54JZT_2016-11-25_final.stac-item
2016-12-05 09:59:28	ga_s2am_ard_3-2-1_54JZT_2016-12-05_final.stac-item
2016-12-25 09:59:47	ga_s2am_ard_3-2-1_54JZT_2016-12-25_final
2017-01-04 09:59:21	ga_s2am_ard_3-2-1_54JZT_2017-01-04_final
2017-01-14 09:59:08	ga_s2am_ard_3-2-1_54JZT_2017-01-14_final
2017-01-17 10:13:08	ga_s2am_ard_3-2-1_54JZT_2017-01-17_final
2017-01-17 10:13:08	ga_s2am_ard_3-2-1_54JZS_2017-01-17_final
2017-01-27 10:12:43	ga_s2am_ard_3-2-1_54JZT_2017-01-27_final
2017-02-06 10:13:02	ga_s2am_ard_3-2-1_54JZT_2017-02-06_final
2017-02-13 09:57:01	ga_s2am_ard_3-2-1_54JZT_2017-02-13_final
2017-02-16 10:12:41	ga_s2am_ard_3-2-1_54JZT_2017-02-16_final
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_54JZT_2017-02-23_final
2017-03-08 10:10:59	ga_s2am_ard_3-2-1_54JZT_2017-03-08_final
2017-03-15 10:01:07	ga_s2am_ard_3-2-1_54JZT_2017-03-15_final
2017-04-04 10:01:13	ga_s2am_ard_3-2-1_54JZT_2017-04-04_final
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_54JZT_2017-04-24_final.stac-item
2017-05-14 10:01:19	ga_s2am_ard_3-2-1_54JZT_2017-05-14_final
2017-06-03 10:01:18	ga_s2am_ard_3-2-1_54JZT_2017-06-03_final
2017-06-23 10:01:15	ga_s2am_ard_3-2-1_54JZT_2017-06-23_final
2017-07-13 10:01:17	ga_s2am_ard_3-2-1_54JZT_2017-07-13_final
2017-08-02 10:03:31	ga_s2am_ard_3-2-1_54JZT_2017-08-02_final
2017-08-22 10:03:30	ga_s2am_ard_3-2-1_54JZT_2017-08-22_final
2017-09-11 10:03:27	ga_s2am_ard_3-2-1_54JZT_2017-09-11_final
2018-03-24 11:24:03	ga_s2am_ard_3-2-1_51JZN_2018-03-24_final
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_50JRT_2018-03-27_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_50JRT_2018-03-30_final
2018-03-31 11:07:12	ga_s2am_ard_3-2-1_51JZN_2018-03-31_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_50JRT_2018-04-06_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50JRT_2018-04-09_final
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50JRT_2018-04-16_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_50JRT_2018-04-19_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50JRT_2018-04-26_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_50JRT_2018-04-29_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51JZN_2018-05-03_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_50JRT_2018-05-06_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_50JRT_2018-05-09_final
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51JZN_2018-05-13_final
2018-05-19 11:40:33	ga_s2am_ard_3-2-1_50JRT_2018-05-19_final
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_51JZN_2018-05-20_final
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_51JZN_2018-05-23_final
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_50JRT_2018-05-29_final
2018-05-30 11:13:18	ga_s2am_ard_3-2-1_51JZN_2018-05-30_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JRT_2018-06-08_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JRT_2018-06-18_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_50JRT_2018-06-28_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51JZN_2018-07-02_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JRT_2018-07-08_final
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_51JZN_2018-07-12_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50JRT_2018-07-15_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50JRT_2018-07-18_final
2018-07-19 11:09:45	ga_s2am_ard_3-2-1_51JZN_2018-07-19_final
2018-07-28 11:40:21	ga_s2am_ard_3-2-1_50JRT_2018-07-28_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JRT_2018-08-07_final
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JRT_2018-08-17_final
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_51JZN_2018-08-18_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50JRT_2018-08-27_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50JRT_2018-09-03_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_50JRT_2018-09-06_final
2018-09-07 11:13:22	ga_s2am_ard_3-2-1_51JZN_2018-09-07_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_50JRT_2018-09-13_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50JRT_2018-09-23_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JRT_2018-09-26_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_50JRT_2018-10-03_final
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JRT_2018-10-06_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50JRT_2018-10-13_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50JRT_2018-10-16_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50JRT_2018-10-23_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JRT_2018-10-26_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_50JRT_2018-11-05_final
2018-11-12 11:34:32	ga_s2am_ard_3-2-1_50JRT_2018-11-12_final
2018-11-15 11:44:25	ga_s2am_ard_3-2-1_50JRT_2018-11-15_final
2018-11-22 11:34:30	ga_s2am_ard_3-2-1_50JRT_2018-11-22_final
2018-11-25 11:44:23	ga_s2am_ard_3-2-1_50JRT_2018-11-25_final
2018-12-05 11:44:24	ga_s2am_ard_3-2-1_50JRT_2018-12-05_final
2018-12-15 11:44:22	ga_s2am_ard_3-2-1_50JRT_2018-12-15_final
2018-12-22 11:34:29	ga_s2am_ard_3-2-1_50JRT_2018-12-22_final
2018-12-25 11:44:23	ga_s2am_ard_3-2-1_50JRT_2018-12-25_final
2019-01-01 11:34:31	ga_s2am_ard_3-2-1_50JRT_2019-01-01_final
2019-01-04 11:44:25	ga_s2am_ard_3-2-1_50JRT_2019-01-04_final
2019-01-11 11:34:32	ga_s2am_ard_3-2-1_50JRT_2019-01-11_final
2019-01-14 11:44:26	ga_s2am_ard_3-2-1_50JRT_2019-01-14_final
2019-01-24 11:44:27	ga_s2am_ard_3-2-1_50JRT_2019-01-24_final
2019-02-03 11:44:28	ga_s2am_ard_3-2-1_50JRT_2019-02-03_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