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
2016-09-03 09:52:32	ga_s2am_ard_3-2-1_55JGN_2016-09-03_final.stac-item
2016-11-22 09:51:04	ga_s2am_ard_3-2-1_55JGN_2016-11-22_final.stac-item
2016-12-02 09:51:03	ga_s2am_ard_3-2-1_55JGN_2016-12-02_final.stac-item
2018-08-13 10:17:05	ga_s2am_ard_3-2-1_53JRN_2018-08-13_final
2018-08-23 10:17:05	ga_s2am_ard_3-2-1_53JRN_2018-08-23_final
2018-09-02 10:17:04	ga_s2am_ard_3-2-1_53JRN_2018-09-02_final
2018-09-12 10:21:59	ga_s2am_ard_3-2-1_53JRN_2018-09-12_final
2018-09-22 10:17:01	ga_s2am_ard_3-2-1_53JRN_2018-09-22_final
2018-10-02 10:17:02	ga_s2am_ard_3-2-1_53JRN_2018-10-02_final
2018-10-12 10:17:03	ga_s2am_ard_3-2-1_53JRN_2018-10-12_final
2018-10-22 10:17:03	ga_s2am_ard_3-2-1_53JRN_2018-10-22_final
2018-11-01 10:17:02	ga_s2am_ard_3-2-1_53JRN_2018-11-01_final
2018-11-11 10:23:59	ga_s2am_ard_3-2-1_53JRN_2018-11-11_final
2018-11-21 10:23:57	ga_s2am_ard_3-2-1_53JRN_2018-11-21_final
2018-12-01 10:23:55	ga_s2am_ard_3-2-1_53JRN_2018-12-01_final
2018-12-11 10:23:55	ga_s2am_ard_3-2-1_53JRN_2018-12-11_final
2018-12-21 10:23:55	ga_s2am_ard_3-2-1_53JRN_2018-12-21_final
2018-12-31 10:23:58	ga_s2am_ard_3-2-1_53JRN_2018-12-31_final
2019-01-10 10:23:59	ga_s2am_ard_3-2-1_53JRN_2019-01-10_final
2019-01-20 10:24:00	ga_s2am_ard_3-2-1_53JRN_2019-01-20_final
2019-01-30 10:24:01	ga_s2am_ard_3-2-1_53JRN_2019-01-30_final
2019-02-09 10:24:01	ga_s2am_ard_3-2-1_53JRN_2019-02-09_final
2019-02-19 10:24:00	ga_s2am_ard_3-2-1_53JRN_2019-02-19_final
2019-03-01 10:23:59	ga_s2am_ard_3-2-1_53JRN_2019-03-01_final
2019-03-11 10:23:59	ga_s2am_ard_3-2-1_53JRN_2019-03-11_final
2019-03-21 10:24:02	ga_s2am_ard_3-2-1_53JRN_2019-03-21_final
2019-03-31 10:24:04	ga_s2am_ard_3-2-1_53JRN_2019-03-31_final
2019-04-10 10:24:06	ga_s2am_ard_3-2-1_53JRN_2019-04-10_final
2019-04-20 10:24:07	ga_s2am_ard_3-2-1_53JRN_2019-04-20_final
2019-04-30 10:24:08	ga_s2am_ard_3-2-1_53JRN_2019-04-30_final
2019-05-10 10:24:08	ga_s2am_ard_3-2-1_53JRN_2019-05-10_final
2019-05-20 10:24:07	ga_s2am_ard_3-2-1_53JRN_2019-05-20_final
2019-05-30 10:24:07	ga_s2am_ard_3-2-1_53JRN_2019-05-30_final
2019-06-09 10:24:06	ga_s2am_ard_3-2-1_53JRN_2019-06-09_final
2019-06-19 10:24:08	ga_s2am_ard_3-2-1_53JRN_2019-06-19_final
2019-06-29 10:24:09	ga_s2am_ard_3-2-1_53JRN_2019-06-29_final
2019-07-09 10:24:09	ga_s2am_ard_3-2-1_53JRN_2019-07-09_final
2019-07-19 10:24:09	ga_s2am_ard_3-2-1_53JRN_2019-07-19_final
2019-07-29 10:24:09	ga_s2am_ard_3-2-1_53JRN_2019-07-29_final
2019-08-08 10:24:08	ga_s2am_ard_3-2-1_53JRN_2019-08-08_final
2019-08-18 10:24:07	ga_s2am_ard_3-2-1_53JRN_2019-08-18_final
2019-08-28 10:24:05	ga_s2am_ard_3-2-1_53JRN_2019-08-28_final
2019-09-07 10:24:03	ga_s2am_ard_3-2-1_53JRN_2019-09-07_final
2019-09-17 10:24:03	ga_s2am_ard_3-2-1_53JRN_2019-09-17_final
2019-09-27 10:24:05	ga_s2am_ard_3-2-1_53JRN_2019-09-27_final
2019-10-07 10:24:06	ga_s2am_ard_3-2-1_53JRN_2019-10-07_final
2019-10-17 10:24:07	ga_s2am_ard_3-2-1_53JRN_2019-10-17_final
2019-10-27 10:24:07	ga_s2am_ard_3-2-1_53JRN_2019-10-27_final
2019-11-06 10:24:07	ga_s2am_ard_3-2-1_53JRN_2019-11-06_final
2019-11-16 10:24:06	ga_s2am_ard_3-2-1_53JRN_2019-11-16_final
2019-11-26 10:24:04	ga_s2am_ard_3-2-1_53JRN_2019-11-26_final
2019-12-06 10:24:02	ga_s2am_ard_3-2-1_53JRN_2019-12-06_final
2020-09-29 11:24:24	ga_s2am_ard_3-2-1_51JZN_2020-09-29_final
2020-10-09 11:24:25	ga_s2am_ard_3-2-1_51JZN_2020-10-09_final
2020-10-16 11:14:29	ga_s2am_ard_3-2-1_51JZN_2020-10-16_final
2020-10-29 11:24:24	ga_s2am_ard_3-2-1_51JZN_2020-10-29_final
2020-11-05 11:14:28	ga_s2am_ard_3-2-1_51JZN_2020-11-05_final
2020-11-15 11:14:27	ga_s2am_ard_3-2-1_51JZN_2020-11-15_final
2020-12-05 11:14:22	ga_s2am_ard_3-2-1_51JZN_2020-12-05_final
2020-12-08 11:24:16	ga_s2am_ard_3-2-1_51JZN_2020-12-08_final
2020-12-25 11:14:22	ga_s2am_ard_3-2-1_51JZN_2020-12-25_final
2021-01-04 11:14:24	ga_s2am_ard_3-2-1_51JZN_2021-01-04_final
2021-01-24 11:14:24	ga_s2am_ard_3-2-1_51JZN_2021-01-24_final
2021-02-03 11:14:23	ga_s2am_ard_3-2-1_51JZN_2021-02-03_final
2021-02-06 11:24:18	ga_s2am_ard_3-2-1_51JZN_2021-02-06_final
2021-02-13 11:14:22	ga_s2am_ard_3-2-1_51JZN_2021-02-13_final
2021-02-16 11:24:18	ga_s2am_ard_3-2-1_51JZN_2021-02-16_final
2021-03-05 11:14:23	ga_s2am_ard_3-2-1_51JZN_2021-03-05_final
2021-03-15 11:14:23	ga_s2am_ard_3-2-1_51JZN_2021-03-15_final
2021-03-25 11:14:22	ga_s2am_ard_3-2-1_51JZN_2021-03-25_final
2021-04-14 11:14:17	ga_s2am_ard_3-2-1_51JZN_2021-04-14_final
2021-04-17 11:24:13	ga_s2am_ard_3-2-1_51JZN_2021-04-17_final
2021-04-24 11:14:19	ga_s2am_ard_3-2-1_51JZN_2021-04-24_final
2021-04-27 11:24:16	ga_s2am_ard_3-2-1_51JZN_2021-04-27_final
2021-05-07 11:24:18	ga_s2am_ard_3-2-1_51JZN_2021-05-07_final
2021-05-14 11:14:23	ga_s2am_ard_3-2-1_51JZN_2021-05-14_final
2022-09-12 09:53:48	ga_s2am_ard_3-2-1_55JGN_2022-09-12_final.stac-item
2022-10-02 09:53:45	ga_s2am_ard_3-2-1_55JGN_2022-10-02_final.stac-item
2022-10-12 09:53:43	ga_s2am_ard_3-2-1_55JGN_2022-10-12_final.stac-item
2022-12-01 09:53:38	ga_s2am_ard_3-2-1_55JGN_2022-12-01_final.stac-item
2022-12-11 09:53:38	ga_s2am_ard_3-2-1_55JGN_2022-12-11_final.stac-item
2022-12-21 09:53:36	ga_s2am_ard_3-2-1_55JGN_2022-12-21_final.stac-item
2022-12-31 09:53:37	ga_s2am_ard_3-2-1_55JGN_2022-12-31_final.stac-item
2023-01-20 09:53:32	ga_s2am_ard_3-2-1_55JGN_2023-01-20_final.stac-item
2023-01-30 09:53:36	ga_s2am_ard_3-2-1_55JGN_2023-01-30_final.stac-item
2023-03-21 09:53:36	ga_s2am_ard_3-2-1_55JGN_2023-03-21_final.stac-item
2023-04-20 09:53:36	ga_s2am_ard_3-2-1_55JGN_2023-04-20_final.stac-item
2023-05-10 09:53:37	ga_s2am_ard_3-2-1_55JGN_2023-05-10_final.stac-item
2023-07-29 09:53:43	ga_s2am_ard_3-2-1_55JGN_2023-07-29_final.stac-item
2023-08-08 09:53:49	ga_s2am_ard_3-2-1_55JGN_2023-08-08_final.stac-item
2023-10-07 09:53:38	ga_s2am_ard_3-2-1_55JGN_2023-10-07_final.stac-item
2023-10-17 09:53:37	ga_s2am_ard_3-2-1_55JGN_2023-10-17_final.stac-item
2023-10-27 09:53:38	ga_s2am_ard_3-2-1_55JGN_2023-10-27_final.stac-item
2023-11-06 09:53:37	ga_s2am_ard_3-2-1_55JGN_2023-11-06_final.stac-item
2023-11-16 09:53:36	ga_s2am_ard_3-2-1_55JGN_2023-11-16_final.stac-item
2024-01-05 09:53:34	ga_s2am_ard_3-2-1_55JGN_2024-01-05_final.stac-item
2024-02-04 09:53:34	ga_s2am_ard_3-2-1_55JGN_2024-02-04_final.stac-item
2024-03-05 09:53:38	ga_s2am_ard_3-2-1_55JGN_2024-03-05_final.stac-item
2024-03-15 09:53:37	ga_s2am_ard_3-2-1_55JGN_2024-03-15_final.stac-item
2024-05-14 09:53:40	ga_s2am_ard_3-2-1_55JGN_2024-05-14_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