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
2015-10-04 10:42:05	ga_s2am_ard_3-2-1_53KQU_2015-10-04_final.stac-item
2015-10-24 10:42:07	ga_s2am_ard_3-2-1_53KQU_2015-10-24_final.stac-item
2015-11-13 10:42:13	ga_s2am_ard_3-2-1_53KQU_2015-11-13_final.stac-item
2015-12-03 10:41:05	ga_s2am_ard_3-2-1_53KQU_2015-12-03_final.stac-item
2015-12-23 10:42:35	ga_s2am_ard_3-2-1_53KQU_2015-12-23_final.stac-item
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53KQU_2016-02-01_final.stac-item
2016-02-11 10:41:59	ga_s2am_ard_3-2-1_53KQU_2016-02-11_final.stac-item
2016-03-02 10:37:34	ga_s2am_ard_3-2-1_53KQU_2016-03-02_final.stac-item
2016-04-01 10:37:37	ga_s2am_ard_3-2-1_53KQU_2016-04-01_final.stac-item
2016-04-11 10:42:01	ga_s2am_ard_3-2-1_53KQU_2016-04-11_final.stac-item
2016-04-21 10:42:05	ga_s2am_ard_3-2-1_53KQU_2016-04-21_final.stac-item
2016-05-01 10:37:44	ga_s2am_ard_3-2-1_53KQU_2016-05-01_final.stac-item
2016-05-11 10:38:49	ga_s2am_ard_3-2-1_53KQU_2016-05-11_final.stac-item
2016-05-21 10:42:09	ga_s2am_ard_3-2-1_53KQU_2016-05-21_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_53KQU_2016-05-31_final.stac-item
2016-06-10 10:42:07	ga_s2am_ard_3-2-1_53KQU_2016-06-10_final.stac-item
2016-06-20 10:38:41	ga_s2am_ard_3-2-1_53KQU_2016-06-20_final.stac-item
2016-07-10 10:38:42	ga_s2am_ard_3-2-1_53KQU_2016-07-10_final.stac-item
2016-07-20 10:42:07	ga_s2am_ard_3-2-1_53KQU_2016-07-20_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53KQU_2016-07-30_final.stac-item
2016-08-09 10:42:06	ga_s2am_ard_3-2-1_53KQU_2016-08-09_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53KQU_2016-08-19_final.stac-item
2016-09-08 10:38:41	ga_s2am_ard_3-2-1_53KQU_2016-09-08_final.stac-item
2016-09-18 10:41:58	ga_s2am_ard_3-2-1_53KQU_2016-09-18_final.stac-item
2016-09-28 10:38:39	ga_s2am_ard_3-2-1_53KQU_2016-09-28_final.stac-item
2016-10-08 10:41:58	ga_s2am_ard_3-2-1_53KQU_2016-10-08_final.stac-item
2016-10-28 10:37:24	ga_s2am_ard_3-2-1_53KQU_2016-10-28_final.stac-item
2016-10-28 10:42:31	ga_s2am_ard_3-2-1_53KQU_2016-10-28_final.stac-item
2016-11-07 10:41:30	ga_s2am_ard_3-2-1_53KQU_2016-11-07_final.stac-item
2016-11-27 10:42:04	ga_s2am_ard_3-2-1_53KQU_2016-11-27_final.stac-item
2017-01-16 10:38:05	ga_s2am_ard_3-2-1_53KQU_2017-01-16_final
2017-03-07 10:37:20	ga_s2am_ard_3-2-1_53KQU_2017-03-07_final
2018-10-28 10:37:24	ga_s2am_ard_3-2-1_53LQF_2018-10-28_final.stac-item
2018-11-07 10:40:46	ga_s2am_ard_3-2-1_53LQF_2018-11-07_final.stac-item
2018-11-27 10:40:43	ga_s2am_ard_3-2-1_53LQF_2018-11-27_final.stac-item
2018-12-07 10:40:42	ga_s2am_ard_3-2-1_53LQF_2018-12-07_final.stac-item
2018-12-27 10:40:44	ga_s2am_ard_3-2-1_53LQF_2018-12-27_final.stac-item
2019-01-26 10:40:48	ga_s2am_ard_3-2-1_53LQF_2019-01-26_final.stac-item
2019-02-05 10:40:48	ga_s2am_ard_3-2-1_53LQF_2019-02-05_final.stac-item
2019-02-15 10:40:47	ga_s2am_ard_3-2-1_53LQF_2019-02-15_final.stac-item
2019-02-25 10:40:46	ga_s2am_ard_3-2-1_53LQF_2019-02-25_final.stac-item
2019-03-07 10:40:45	ga_s2am_ard_3-2-1_53LQF_2019-03-07_final.stac-item
2019-03-27 10:40:50	ga_s2am_ard_3-2-1_53LQF_2019-03-27_final.stac-item
2019-04-06 10:40:52	ga_s2am_ard_3-2-1_53LQF_2019-04-06_final.stac-item
2019-06-05 10:40:53	ga_s2am_ard_3-2-1_53LQF_2019-06-05_final.stac-item
2019-06-25 10:40:55	ga_s2am_ard_3-2-1_53LQF_2019-06-25_final.stac-item
2019-09-23 10:40:51	ga_s2am_ard_3-2-1_53LQF_2019-09-23_final.stac-item
2019-11-02 10:40:54	ga_s2am_ard_3-2-1_53LQF_2019-11-02_final.stac-item
2019-11-12 10:40:53	ga_s2am_ard_3-2-1_53LQF_2019-11-12_final.stac-item
2019-12-02 10:40:50	ga_s2am_ard_3-2-1_53LQF_2019-12-02_final.stac-item
2020-01-21 10:40:44	ga_s2am_ard_3-2-1_53LQF_2020-01-21_final.stac-item
2020-01-31 10:40:43	ga_s2am_ard_3-2-1_53LQF_2020-01-31_final.stac-item
2021-10-16 10:27:20	ga_s2am_ard_3-2-1_53HPV_2021-10-16_final.stac-item
2021-11-05 10:27:19	ga_s2am_ard_3-2-1_53HPV_2021-11-05_final.stac-item
2021-11-18 10:33:12	ga_s2am_ard_3-2-1_53KPS_2021-11-18_final
2021-12-08 10:33:11	ga_s2am_ard_3-2-1_53KPS_2021-12-08_final
2021-12-11 10:40:51	ga_s2am_ard_3-2-1_53LQF_2021-12-11_final.stac-item
2022-01-27 10:33:12	ga_s2am_ard_3-2-1_53KPS_2022-01-27_final
2022-03-15 10:27:19	ga_s2am_ard_3-2-1_53HPV_2022-03-15_final.stac-item
2022-03-28 10:33:15	ga_s2am_ard_3-2-1_53KPS_2022-03-28_final
2022-05-07 10:33:17	ga_s2am_ard_3-2-1_53KPS_2022-05-07_final
2022-05-17 10:33:17	ga_s2am_ard_3-2-1_53KPS_2022-05-17_final
2022-06-06 10:33:20	ga_s2am_ard_3-2-1_53KPS_2022-06-06_final
2022-07-26 10:33:22	ga_s2am_ard_3-2-1_53KPS_2022-07-26_final
2022-08-02 10:27:26	ga_s2am_ard_3-2-1_53HPV_2022-08-02_final.stac-item
2022-08-05 10:33:23	ga_s2am_ard_3-2-1_53KPS_2022-08-05_final
2022-09-01 10:27:27	ga_s2am_ard_3-2-1_53HPV_2022-09-01_final.stac-item
2022-10-14 10:33:17	ga_s2am_ard_3-2-1_53KPS_2022-10-14_final.stac-item
2022-11-23 10:33:12	ga_s2am_ard_3-2-1_53KPS_2022-11-23_final.stac-item
2022-11-26 10:43:02	ga_s2am_ard_3-2-1_53KQS_2022-11-26_final.stac-item
2022-12-03 10:33:12	ga_s2am_ard_3-2-1_53KPS_2022-12-03_final.stac-item
2022-12-23 10:33:10	ga_s2am_ard_3-2-1_53KPS_2022-12-23_final.stac-item
2022-12-23 10:35:25	ga_s2am_ard_3-2-1_53JPG_2022-12-23_final.stac-item
2023-01-09 10:26:26	ga_s2am_ard_3-2-1_53HPC_2023-01-09_final.stac-item
2023-01-12 10:33:10	ga_s2am_ard_3-2-1_53KPS_2023-01-12_final.stac-item
2023-01-15 10:43:05	ga_s2am_ard_3-2-1_53KQS_2023-01-15_final.stac-item
2023-01-15 10:43:05	ga_s2am_ard_3-2-1_53KQR_2023-01-15_final.stac-item
2023-03-03 10:33:09	ga_s2am_ard_3-2-1_53KPS_2023-03-03_final.stac-item
2023-05-02 10:33:12	ga_s2am_ard_3-2-1_53KPS_2023-05-02_final.stac-item
2023-06-01 10:33:16	ga_s2am_ard_3-2-1_53KPS_2023-06-01_final.stac-item
2023-07-31 10:33:17	ga_s2am_ard_3-2-1_53KPS_2023-07-31_final.stac-item
2023-08-20 10:33:18	ga_s2am_ard_3-2-1_53KPS_2023-08-20_final.stac-item
2023-09-29 10:33:14	ga_s2am_ard_3-2-1_53KPS_2023-09-29_final.stac-item
2023-10-02 10:43:05	ga_s2am_ard_3-2-1_53KQS_2023-10-02_final.stac-item
2023-10-02 10:43:07	ga_s2am_ard_3-2-1_53KPS_2023-10-02_final.stac-item
2023-10-06 10:26:30	ga_s2am_ard_3-2-1_53HPC_2023-10-06_final.stac-item
2023-10-12 10:42:30	ga_s2am_ard_3-2-1_53KQU_2023-10-12_final.stac-item
2023-10-22 10:42:32	ga_s2am_ard_3-2-1_53KQU_2023-10-22_final.stac-item
2023-10-29 10:33:12	ga_s2am_ard_3-2-1_53KPS_2023-10-29_final.stac-item
2023-11-01 10:42:31	ga_s2am_ard_3-2-1_53KQU_2023-11-01_final.stac-item
2023-11-11 10:42:31	ga_s2am_ard_3-2-1_53KQU_2023-11-11_final.stac-item
2023-11-18 10:33:10	ga_s2am_ard_3-2-1_53KPS_2023-11-18_final.stac-item
2023-11-21 10:42:29	ga_s2am_ard_3-2-1_53KQU_2023-11-21_final.stac-item
2023-12-01 10:42:23	ga_s2am_ard_3-2-1_53KQU_2023-12-01_final.stac-item
2023-12-18 10:33:08	ga_s2am_ard_3-2-1_53KPS_2023-12-18_final.stac-item
2023-12-28 10:33:09	ga_s2am_ard_3-2-1_53KPS_2023-12-28_final.stac-item
2024-01-04 10:26:28	ga_s2am_ard_3-2-1_53HPC_2024-01-04_final.stac-item
2024-02-06 10:33:07	ga_s2am_ard_3-2-1_53KPS_2024-02-06_final.stac-item
2024-02-16 10:33:10	ga_s2am_ard_3-2-1_53KPS_2024-02-16_final.stac-item
2024-02-26 10:33:11	ga_s2am_ard_3-2-1_53KPS_2024-02-26_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