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
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_50HQK_2015-12-08_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HQK_2016-01-07_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_50HQK_2016-02-06_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HQK_2016-04-06_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HQK_2016-05-16_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQK_2016-06-05_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HQK_2016-06-25_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_50HQK_2016-07-15_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50HQK_2016-08-04_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_50HQK_2016-08-24_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50HQK_2016-09-13_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HQK_2016-10-03_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HQK_2016-10-23_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HQK_2016-11-02_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HQK_2016-11-12_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HQK_2016-11-22_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQK_2016-12-12_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HQK_2016-12-22_final
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_50HQK_2017-01-01_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50HQK_2017-01-31_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_50HQK_2017-02-10_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_50HQK_2017-02-20_final
2017-02-20 11:36:27	ga_s2am_ard_3-2-1_50HQK_2017-02-20_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HQK_2017-03-12_final
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_50HQK_2017-04-01_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50HQK_2017-04-21_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HQK_2017-05-11_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_50HQK_2017-05-31_final
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_50HQK_2017-06-20_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HQK_2017-07-10_final
2017-07-30 11:34:57	ga_s2am_ard_3-2-1_50HQK_2017-07-30_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50HQK_2017-08-19_final
2017-09-08 11:36:17	ga_s2am_ard_3-2-1_50HQK_2017-09-08_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HQK_2017-09-28_final
2017-10-18 11:30:06	ga_s2am_ard_3-2-1_50HQK_2017-10-18_final
2017-10-18 11:36:29	ga_s2am_ard_3-2-1_50HQK_2017-10-18_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_50HQK_2017-11-07_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_50HQK_2017-11-27_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HQK_2017-12-17_final
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50HQK_2018-01-06_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HQK_2018-01-26_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HQK_2018-10-23_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HQK_2018-11-02_final
2018-11-12 11:36:29	ga_s2am_ard_3-2-1_50HQK_2018-11-12_final
2018-11-22 11:36:27	ga_s2am_ard_3-2-1_50HQK_2018-11-22_final
2018-12-02 11:36:25	ga_s2am_ard_3-2-1_50HQK_2018-12-02_final
2018-12-12 11:36:25	ga_s2am_ard_3-2-1_50HQK_2018-12-12_final
2018-12-22 11:36:26	ga_s2am_ard_3-2-1_50HQK_2018-12-22_final
2019-01-01 11:36:28	ga_s2am_ard_3-2-1_50HQK_2019-01-01_final
2019-01-11 11:36:29	ga_s2am_ard_3-2-1_50HQK_2019-01-11_final
2019-01-21 11:36:30	ga_s2am_ard_3-2-1_50HQK_2019-01-21_final
2019-01-31 11:36:31	ga_s2am_ard_3-2-1_50HQK_2019-01-31_final
2019-02-10 11:36:31	ga_s2am_ard_3-2-1_50HQK_2019-02-10_final
2019-02-20 11:36:30	ga_s2am_ard_3-2-1_50HQK_2019-02-20_final
2019-03-02 11:36:29	ga_s2am_ard_3-2-1_50HQK_2019-03-02_final
2019-03-12 11:36:29	ga_s2am_ard_3-2-1_50HQK_2019-03-12_final
2019-03-22 11:36:32	ga_s2am_ard_3-2-1_50HQK_2019-03-22_final
2019-04-01 11:36:34	ga_s2am_ard_3-2-1_50HQK_2019-04-01_final
2019-04-11 11:36:36	ga_s2am_ard_3-2-1_50HQK_2019-04-11_final
2019-04-21 11:36:37	ga_s2am_ard_3-2-1_50HQK_2019-04-21_final
2019-05-01 11:36:37	ga_s2am_ard_3-2-1_50HQK_2019-05-01_final
2019-05-11 11:36:38	ga_s2am_ard_3-2-1_50HQK_2019-05-11_final
2019-05-21 11:36:37	ga_s2am_ard_3-2-1_50HQK_2019-05-21_final
2019-05-31 11:36:36	ga_s2am_ard_3-2-1_50HQK_2019-05-31_final
2019-06-10 11:36:36	ga_s2am_ard_3-2-1_50HQK_2019-06-10_final
2020-10-02 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-10-02_final
2020-10-12 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-10-12_final
2020-10-22 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-10-22_final
2020-11-01 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-11-01_final
2020-11-11 11:36:38	ga_s2am_ard_3-2-1_50HQK_2020-11-11_final
2020-11-21 11:36:36	ga_s2am_ard_3-2-1_50HQK_2020-11-21_final
2020-11-21 11:36:42	ga_s2am_ard_3-2-1_50HQK_2020-11-21_final
2020-12-01 11:36:34	ga_s2am_ard_3-2-1_50HQK_2020-12-01_final
2020-12-11 11:36:30	ga_s2am_ard_3-2-1_50HQK_2020-12-11_final
2020-12-21 11:36:32	ga_s2am_ard_3-2-1_50HQK_2020-12-21_final
2021-01-10 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-01-10_final
2021-01-20 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-01-20_final
2021-01-30 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-01-30_final
2021-02-09 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-02-09_final
2021-02-19 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-02-19_final
2021-03-01 11:36:34	ga_s2am_ard_3-2-1_50HQK_2021-03-01_final
2021-03-11 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-03-11_final
2021-03-21 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-03-21_final
2021-03-31 11:36:31	ga_s2am_ard_3-2-1_50HQK_2021-03-31_final
2021-04-10 11:36:29	ga_s2am_ard_3-2-1_50HQK_2021-04-10_final
2021-04-20 11:36:29	ga_s2am_ard_3-2-1_50HQK_2021-04-20_final
2021-04-30 11:36:31	ga_s2am_ard_3-2-1_50HQK_2021-04-30_final
2021-05-10 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-05-10_final
2022-01-28 11:45:14	ga_s2am_ard_3-2-1_51JTK_2022-01-28_final
2022-02-17 11:45:15	ga_s2am_ard_3-2-1_51JTK_2022-02-17_final
2022-02-27 11:45:17	ga_s2am_ard_3-2-1_51JTK_2022-02-27_final
2022-04-08 11:45:15	ga_s2am_ard_3-2-1_51JTK_2022-04-08_final
2022-05-08 11:45:18	ga_s2am_ard_3-2-1_51JTK_2022-05-08_final
2022-07-17 11:45:26	ga_s2am_ard_3-2-1_51JTK_2022-07-17_final
2022-08-06 11:45:25	ga_s2am_ard_3-2-1_51JTK_2022-08-06_final
2024-01-28 11:45:09	ga_s2am_ard_3-2-1_51JTK_2024-01-28_final.stac-item
2024-02-27 11:45:13	ga_s2am_ard_3-2-1_51JTK_2024-02-27_final.stac-item
2024-03-08 11:45:15	ga_s2am_ard_3-2-1_51JTK_2024-03-08_final.stac-item
2024-03-18 11:45:15	ga_s2am_ard_3-2-1_51JTK_2024-03-18_final.stac-item
2024-04-07 11:45:13	ga_s2am_ard_3-2-1_51JTK_2024-04-07_final.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

All years