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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JXN_2015-11-25_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51JXN_2015-12-25_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JXN_2016-01-24_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JXN_2016-03-24_final.stac-item
2016-04-23 11:20:22	ga_s2am_ard_3-2-1_51JXN_2016-04-23_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51JXN_2016-05-03_final.stac-item
2016-05-23 11:22:44	ga_s2am_ard_3-2-1_51JXN_2016-05-23_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JXN_2016-06-12_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51JXN_2016-08-11_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51JXN_2016-08-31_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51JXN_2016-09-20_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51JXN_2016-10-10_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51JXN_2016-10-30_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51JXN_2016-11-19_final
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_51JXN_2016-11-29_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51JXN_2016-12-09_final
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51JXN_2016-12-29_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JXN_2017-01-08_final
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JXN_2017-01-18_final
2017-02-17 11:23:12	ga_s2am_ard_3-2-1_51JXN_2017-02-17_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51JXN_2017-02-27_final
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JXN_2017-03-19_final
2017-04-08 11:20:55	ga_s2am_ard_3-2-1_51JXN_2017-04-08_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51JXN_2017-04-28_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51JXN_2017-05-18_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JXN_2017-06-07_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JXN_2017-06-27_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51JXN_2017-07-17_final
2017-08-06 11:22:11	ga_s2am_ard_3-2-1_51JXN_2017-08-06_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51JXN_2017-08-26_final
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JXN_2017-09-15_final
2020-11-08 11:24:31	ga_s2am_ard_3-2-1_51JXN_2020-11-08_final
2020-11-18 11:24:29	ga_s2am_ard_3-2-1_51JXN_2020-11-18_final
2020-11-28 11:24:27	ga_s2am_ard_3-2-1_51JXN_2020-11-28_final
2020-12-08 11:24:24	ga_s2am_ard_3-2-1_51JXN_2020-12-08_final
2020-12-18 11:24:24	ga_s2am_ard_3-2-1_51JXN_2020-12-18_final
2020-12-28 11:24:26	ga_s2am_ard_3-2-1_51JXN_2020-12-28_final
2021-01-07 11:24:27	ga_s2am_ard_3-2-1_51JXN_2021-01-07_final
2021-01-17 11:24:27	ga_s2am_ard_3-2-1_51JXN_2021-01-17_final
2021-01-27 11:24:27	ga_s2am_ard_3-2-1_51JXN_2021-01-27_final
2021-02-06 11:24:26	ga_s2am_ard_3-2-1_51JXN_2021-02-06_final
2021-02-16 11:24:25	ga_s2am_ard_3-2-1_51JXN_2021-02-16_final
2021-02-26 11:24:26	ga_s2am_ard_3-2-1_51JXN_2021-02-26_final
2021-03-08 11:24:26	ga_s2am_ard_3-2-1_51JXN_2021-03-08_final
2021-03-18 11:24:25	ga_s2am_ard_3-2-1_51JXN_2021-03-18_final
2021-03-28 11:24:24	ga_s2am_ard_3-2-1_51JXN_2021-03-28_final
2021-04-07 11:24:22	ga_s2am_ard_3-2-1_51JXN_2021-04-07_final
2021-04-17 11:24:20	ga_s2am_ard_3-2-1_51JXN_2021-04-17_final
2021-04-27 11:24:23	ga_s2am_ard_3-2-1_51JXN_2021-04-27_final
2021-05-07 11:24:25	ga_s2am_ard_3-2-1_51JXN_2021-05-07_final
2021-05-17 11:24:26	ga_s2am_ard_3-2-1_51JXN_2021-05-17_final
2021-05-27 11:24:27	ga_s2am_ard_3-2-1_51JXN_2021-05-27_final
2021-06-06 11:24:27	ga_s2am_ard_3-2-1_51JXN_2021-06-06_final
2021-06-16 11:24:26	ga_s2am_ard_3-2-1_51JXN_2021-06-16_final
2021-06-26 11:24:28	ga_s2am_ard_3-2-1_51JXN_2021-06-26_final
2021-07-06 11:24:29	ga_s2am_ard_3-2-1_51JXN_2021-07-06_final
2021-07-16 11:24:29	ga_s2am_ard_3-2-1_51JXN_2021-07-16_final
2021-07-26 11:24:30	ga_s2am_ard_3-2-1_51JXN_2021-07-26_final
2021-08-05 11:24:29	ga_s2am_ard_3-2-1_51JXN_2021-08-05_final
2021-08-15 11:24:29	ga_s2am_ard_3-2-1_51JXN_2021-08-15_final
2021-08-25 11:24:28	ga_s2am_ard_3-2-1_51JXN_2021-08-25_final
2021-09-04 11:24:27	ga_s2am_ard_3-2-1_51JXN_2021-09-04_final
2021-09-14 11:24:27	ga_s2am_ard_3-2-1_51JXN_2021-09-14_final
2021-09-24 11:24:30	ga_s2am_ard_3-2-1_51JXN_2021-09-24_final
2022-06-21 11:24:38	ga_s2am_ard_3-2-1_51JXN_2022-06-21_final
2022-07-01 11:24:39	ga_s2am_ard_3-2-1_51JXN_2022-07-01_final
2022-07-21 11:24:38	ga_s2am_ard_3-2-1_51JXN_2022-07-21_final
2022-09-12 11:33:12	ga_s2am_ard_3-2-1_51KYT_2022-09-12_final.stac-item
2022-09-22 11:33:09	ga_s2am_ard_3-2-1_51KYT_2022-09-22_final.stac-item
2022-10-12 11:33:07	ga_s2am_ard_3-2-1_51KYT_2022-10-12_final.stac-item
2022-10-22 11:33:04	ga_s2am_ard_3-2-1_51KYT_2022-10-22_final.stac-item
2022-10-26 11:16:21	ga_s2am_ard_3-2-1_51JXF_2022-10-26_final.stac-item
2022-11-21 11:33:03	ga_s2am_ard_3-2-1_51KYT_2022-11-21_final.stac-item
2022-12-01 11:33:02	ga_s2am_ard_3-2-1_51KYT_2022-12-01_final.stac-item
2022-12-11 11:33:02	ga_s2am_ard_3-2-1_51KYT_2022-12-11_final.stac-item
2023-02-09 11:33:01	ga_s2am_ard_3-2-1_51KYT_2023-02-09_final.stac-item
2023-02-19 11:32:59	ga_s2am_ard_3-2-1_51KYT_2023-02-19_final.stac-item
2023-03-11 11:32:58	ga_s2am_ard_3-2-1_51KYT_2023-03-11_final.stac-item
2023-03-31 11:33:00	ga_s2am_ard_3-2-1_51KYT_2023-03-31_final.stac-item
2023-04-20 11:33:00	ga_s2am_ard_3-2-1_51KYT_2023-04-20_final.stac-item
2023-04-30 11:33:02	ga_s2am_ard_3-2-1_51KYT_2023-04-30_final.stac-item
2023-05-10 11:33:01	ga_s2am_ard_3-2-1_51KYT_2023-05-10_final.stac-item
2023-05-30 11:33:06	ga_s2am_ard_3-2-1_51KYT_2023-05-30_final.stac-item
2023-06-03 11:16:17	ga_s2am_ard_3-2-1_51JXF_2023-06-03_final.stac-item
2023-06-09 11:32:54	ga_s2am_ard_3-2-1_51KYU_2023-06-09_final.stac-item
2023-06-09 11:32:57	ga_s2am_ard_3-2-1_51KXU_2023-06-09_final.stac-item
2023-06-09 11:33:06	ga_s2am_ard_3-2-1_51KYT_2023-06-09_final.stac-item
2023-06-19 11:33:06	ga_s2am_ard_3-2-1_51KYT_2023-06-19_final.stac-item
2023-07-09 11:33:07	ga_s2am_ard_3-2-1_51KYT_2023-07-09_final.stac-item
2023-07-19 11:33:06	ga_s2am_ard_3-2-1_51KYT_2023-07-19_final.stac-item
2023-07-29 11:33:07	ga_s2am_ard_3-2-1_51KYT_2023-07-29_final.stac-item
2023-08-18 11:33:08	ga_s2am_ard_3-2-1_51KYT_2023-08-18_final.stac-item
2023-09-07 11:33:07	ga_s2am_ard_3-2-1_51KYT_2023-09-07_final.stac-item
2023-09-27 11:33:04	ga_s2am_ard_3-2-1_51KYT_2023-09-27_final.stac-item
2023-10-07 11:33:03	ga_s2am_ard_3-2-1_51KYT_2023-10-07_final.stac-item
2023-10-17 11:33:01	ga_s2am_ard_3-2-1_51KYT_2023-10-17_final.stac-item
2023-11-03 11:23:08	ga_s2am_ard_3-2-1_51KYT_2023-11-03_final.stac-item
2023-11-16 11:33:00	ga_s2am_ard_3-2-1_51KYT_2023-11-16_final.stac-item
2023-11-26 11:32:57	ga_s2am_ard_3-2-1_51KYT_2023-11-26_final.stac-item
2023-12-06 11:32:56	ga_s2am_ard_3-2-1_51KYT_2023-12-06_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