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
2015-10-23 09:32:46	ga_s2am_ard_3-2-1_56JLT_2015-10-23_final.stac-item
2015-11-12 09:33:21	ga_s2am_ard_3-2-1_56JLT_2015-11-12_final.stac-item
2015-12-22 09:34:27	ga_s2am_ard_3-2-1_56JLT_2015-12-22_final.stac-item
2016-02-20 09:32:13	ga_s2am_ard_3-2-1_56JLT_2016-02-20_final.stac-item
2016-03-21 09:32:15	ga_s2am_ard_3-2-1_56JLT_2016-03-21_final.stac-item
2016-05-30 09:32:23	ga_s2am_ard_3-2-1_56JLT_2016-05-30_final.stac-item
2016-05-30 09:33:50	ga_s2am_ard_3-2-1_56JLT_2016-05-30_final.stac-item
2016-06-09 09:32:22	ga_s2am_ard_3-2-1_56JLT_2016-06-09_final.stac-item
2016-06-19 09:32:20	ga_s2am_ard_3-2-1_56JLT_2016-06-19_final.stac-item
2016-07-09 09:33:19	ga_s2am_ard_3-2-1_56JLT_2016-07-09_final.stac-item
2016-07-19 09:33:20	ga_s2am_ard_3-2-1_56JLT_2016-07-19_final.stac-item
2016-07-29 09:33:23	ga_s2am_ard_3-2-1_56JLT_2016-07-29_final.stac-item
2016-08-28 09:32:19	ga_s2am_ard_3-2-1_56JLT_2016-08-28_final.stac-item
2016-11-06 09:32:20	ga_s2am_ard_3-2-1_56JLT_2016-11-06_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56JLT_2016-12-06_final.stac-item
2017-05-25 09:32:20	ga_s2am_ard_3-2-1_56JLT_2017-05-25_final
2017-06-04 09:32:20	ga_s2am_ard_3-2-1_56JLT_2017-06-04_final
2017-06-14 09:32:18	ga_s2am_ard_3-2-1_56JLT_2017-06-14_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_56JLT_2017-06-24_final
2017-07-14 09:32:18	ga_s2am_ard_3-2-1_56JLT_2017-07-14_final
2017-07-24 09:32:19	ga_s2am_ard_3-2-1_56JLT_2017-07-24_final
2017-08-03 09:32:19	ga_s2am_ard_3-2-1_56JLT_2017-08-03_final
2017-08-13 09:32:19	ga_s2am_ard_3-2-1_56JLT_2017-08-13_final
2017-09-02 09:31:07	ga_s2am_ard_3-2-1_56JLT_2017-09-02_final
2017-09-22 09:32:35	ga_s2am_ard_3-2-1_56JLT_2017-09-22_final
2017-10-02 09:32:37	ga_s2am_ard_3-2-1_56JLT_2017-10-02_final
2017-10-12 09:32:39	ga_s2am_ard_3-2-1_56JLT_2017-10-12_final
2017-10-22 09:32:39	ga_s2am_ard_3-2-1_56JLT_2017-10-22_final
2017-11-01 09:32:39	ga_s2am_ard_3-2-1_56JLT_2017-11-01_final
2017-11-11 09:32:38	ga_s2am_ard_3-2-1_56JLT_2017-11-11_final
2017-11-21 09:32:36	ga_s2am_ard_3-2-1_56JLT_2017-11-21_final
2017-12-01 09:32:34	ga_s2am_ard_3-2-1_56JLT_2017-12-01_final
2017-12-11 09:32:35	ga_s2am_ard_3-2-1_56JLT_2017-12-11_final
2017-12-21 09:32:34	ga_s2am_ard_3-2-1_56JLT_2017-12-21_final
2017-12-31 09:32:33	ga_s2am_ard_3-2-1_56JLT_2017-12-31_final
2018-01-10 09:32:32	ga_s2am_ard_3-2-1_56JLT_2018-01-10_final
2018-01-20 09:32:33	ga_s2am_ard_3-2-1_56JLT_2018-01-20_final
2018-01-30 09:32:35	ga_s2am_ard_3-2-1_56JLT_2018-01-30_final
2018-02-09 09:32:58	ga_s2am_ard_3-2-1_56JLT_2018-02-09_final
2018-02-19 09:32:37	ga_s2am_ard_3-2-1_56JLT_2018-02-19_final
2018-03-01 09:32:36	ga_s2am_ard_3-2-1_56JLT_2018-03-01_final
2018-03-11 09:32:36	ga_s2am_ard_3-2-1_56JLT_2018-03-11_final
2018-03-21 09:32:37	ga_s2am_ard_3-2-1_56JLT_2018-03-21_final
2018-03-31 09:32:39	ga_s2am_ard_3-2-1_56JLT_2018-03-31_final
2018-04-10 09:32:40	ga_s2am_ard_3-2-1_56JLT_2018-04-10_final
2018-04-20 09:32:41	ga_s2am_ard_3-2-1_56JLT_2018-04-20_final
2018-05-10 09:32:42	ga_s2am_ard_3-2-1_56JLT_2018-05-10_final
2018-05-20 09:32:42	ga_s2am_ard_3-2-1_56JLT_2018-05-20_final
2018-05-30 09:32:41	ga_s2am_ard_3-2-1_56JLT_2018-05-30_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_56JLT_2018-06-09_final
2018-06-19 09:32:58	ga_s2am_ard_3-2-1_56JLT_2018-06-19_final
2019-11-11 09:33:45	ga_s2am_ard_3-2-1_56JLT_2019-11-11_final
2019-11-21 09:33:43	ga_s2am_ard_3-2-1_56JLT_2019-11-21_final
2019-12-01 09:33:41	ga_s2am_ard_3-2-1_56JLT_2019-12-01_final
2019-12-11 09:33:39	ga_s2am_ard_3-2-1_56JLT_2019-12-11_final
2019-12-21 09:33:36	ga_s2am_ard_3-2-1_56JLT_2019-12-21_final
2019-12-31 09:33:37	ga_s2am_ard_3-2-1_56JLT_2019-12-31_final
2020-01-10 09:33:37	ga_s2am_ard_3-2-1_56JLT_2020-01-10_final
2020-01-20 09:33:36	ga_s2am_ard_3-2-1_56JLT_2020-01-20_final
2020-01-30 09:33:35	ga_s2am_ard_3-2-1_56JLT_2020-01-30_final
2020-02-09 09:33:35	ga_s2am_ard_3-2-1_56JLT_2020-02-09_final
2020-02-19 09:33:36	ga_s2am_ard_3-2-1_56JLT_2020-02-19_final
2020-02-29 09:33:38	ga_s2am_ard_3-2-1_56JLT_2020-02-29_final
2020-03-10 09:33:38	ga_s2am_ard_3-2-1_56JLT_2020-03-10_final
2020-03-20 09:33:39	ga_s2am_ard_3-2-1_56JLT_2020-03-20_final
2020-03-30 09:33:38	ga_s2am_ard_3-2-1_56JLT_2020-03-30_final
2020-04-09 09:33:40	ga_s2am_ard_3-2-1_56JLT_2020-04-09_final
2020-04-19 09:33:43	ga_s2am_ard_3-2-1_56JLT_2020-04-19_final
2020-04-29 09:33:45	ga_s2am_ard_3-2-1_56JLT_2020-04-29_final
2020-05-09 09:33:47	ga_s2am_ard_3-2-1_56JLT_2020-05-09_final
2020-05-19 09:33:48	ga_s2am_ard_3-2-1_56JLT_2020-05-19_final
2020-05-29 09:33:48	ga_s2am_ard_3-2-1_56JLT_2020-05-29_final
2020-06-08 09:33:49	ga_s2am_ard_3-2-1_56JLT_2020-06-08_final
2020-06-18 09:33:48	ga_s2am_ard_3-2-1_56JLT_2020-06-18_final
2020-06-28 09:33:48	ga_s2am_ard_3-2-1_56JLT_2020-06-28_final
2020-07-08 09:33:47	ga_s2am_ard_3-2-1_56JLT_2020-07-08_final
2020-07-18 09:33:47	ga_s2am_ard_3-2-1_56JLT_2020-07-18_final
2020-07-28 09:34:17	ga_s2am_ard_3-2-1_56JLR_2020-07-28_final
2020-08-07 09:34:17	ga_s2am_ard_3-2-1_56JLR_2020-08-07_final
2020-08-17 09:34:17	ga_s2am_ard_3-2-1_56JLR_2020-08-17_final
2020-08-27 09:34:17	ga_s2am_ard_3-2-1_56JLR_2020-08-27_final
2020-09-06 09:34:16	ga_s2am_ard_3-2-1_56JLR_2020-09-06_final
2020-09-16 09:34:16	ga_s2am_ard_3-2-1_56JLR_2020-09-16_final
2020-09-26 09:34:17	ga_s2am_ard_3-2-1_56JLR_2020-09-26_final
2020-10-16 09:34:17	ga_s2am_ard_3-2-1_56JLR_2020-10-16_final
2020-10-26 09:34:17	ga_s2am_ard_3-2-1_56JLR_2020-10-26_final
2020-11-05 09:34:16	ga_s2am_ard_3-2-1_56JLR_2020-11-05_final
2020-11-15 09:34:15	ga_s2am_ard_3-2-1_56JLR_2020-11-15_final
2020-11-25 09:34:13	ga_s2am_ard_3-2-1_56JLR_2020-11-25_final
2020-12-05 09:34:10	ga_s2am_ard_3-2-1_56JLR_2020-12-05_final
2020-12-15 09:34:09	ga_s2am_ard_3-2-1_56JLR_2020-12-15_final
2020-12-25 09:34:11	ga_s2am_ard_3-2-1_56JLR_2020-12-25_final
2021-01-04 09:34:12	ga_s2am_ard_3-2-1_56JLR_2021-01-04_final
2021-01-14 09:34:12	ga_s2am_ard_3-2-1_56JLR_2021-01-14_final
2021-01-24 09:34:12	ga_s2am_ard_3-2-1_56JLR_2021-01-24_final
2021-02-13 09:34:10	ga_s2am_ard_3-2-1_56JLR_2021-02-13_final
2021-02-23 09:34:11	ga_s2am_ard_3-2-1_56JLR_2021-02-23_final
2021-03-05 09:34:11	ga_s2am_ard_3-2-1_56JLR_2021-03-05_final
2021-03-15 09:34:11	ga_s2am_ard_3-2-1_56JLR_2021-03-15_final
2021-03-25 09:34:10	ga_s2am_ard_3-2-1_56JLR_2021-03-25_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