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
2015-09-03 09:36:29	ga_s2am_ard_3-2-1_55HFA_2015-09-03_final.stac-item
2017-03-06 09:36:21	ga_s2am_ard_3-2-1_55HFA_2017-03-06_final
2017-03-09 09:43:46	ga_s2am_ard_3-2-1_55HFA_2017-03-09_final
2017-03-16 09:32:09	ga_s2am_ard_3-2-1_55HFA_2017-03-16_final
2017-03-19 09:46:17	ga_s2am_ard_3-2-1_55HFA_2017-03-19_final
2017-03-26 09:36:23	ga_s2am_ard_3-2-1_55HFA_2017-03-26_final
2017-03-29 09:42:08	ga_s2am_ard_3-2-1_55HFA_2017-03-29_final.stac-item
2017-04-05 09:32:47	ga_s2am_ard_3-2-1_55HFA_2017-04-05_final.stac-item
2017-04-08 09:46:23	ga_s2am_ard_3-2-1_55HFA_2017-04-08_final
2017-04-15 09:36:28	ga_s2am_ard_3-2-1_55HFA_2017-04-15_final
2017-04-18 09:42:56	ga_s2am_ard_3-2-1_55HFA_2017-04-18_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_55HFA_2017-04-25_final.stac-item
2017-04-28 09:46:27	ga_s2am_ard_3-2-1_55HFA_2017-04-28_final
2017-05-05 09:36:31	ga_s2am_ard_3-2-1_55HFA_2017-05-05_final
2017-05-08 09:42:15	ga_s2am_ard_3-2-1_55HFA_2017-05-08_final
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_55HFA_2017-05-15_final
2017-05-18 09:46:28	ga_s2am_ard_3-2-1_55HFA_2017-05-18_final
2017-05-25 09:36:31	ga_s2am_ard_3-2-1_55HFA_2017-05-25_final
2017-05-28 09:42:15	ga_s2am_ard_3-2-1_55HFA_2017-05-28_final
2017-06-04 09:34:37	ga_s2am_ard_3-2-1_55HFA_2017-06-04_final
2017-06-07 09:46:27	ga_s2am_ard_3-2-1_55HFA_2017-06-07_final
2017-06-14 09:36:29	ga_s2am_ard_3-2-1_55HFA_2017-06-14_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_55HFA_2017-06-17_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_55HFA_2017-06-24_final
2017-06-27 09:46:24	ga_s2am_ard_3-2-1_55HFA_2017-06-27_final
2017-07-04 09:36:28	ga_s2am_ard_3-2-1_55HFA_2017-07-04_final
2017-07-07 09:42:12	ga_s2am_ard_3-2-1_55HFA_2017-07-07_final
2017-07-14 09:32:18	ga_s2am_ard_3-2-1_55HFA_2017-07-14_final
2017-07-17 09:46:26	ga_s2am_ard_3-2-1_55HFA_2017-07-17_final
2017-07-24 09:36:30	ga_s2am_ard_3-2-1_55HFA_2017-07-24_final
2017-07-27 09:46:19	ga_s2am_ard_3-2-1_55HFA_2017-07-27_final
2017-08-06 09:46:27	ga_s2am_ard_3-2-1_55HFA_2017-08-06_final
2017-08-13 09:36:30	ga_s2am_ard_3-2-1_55HFA_2017-08-13_final
2017-08-16 09:43:54	ga_s2am_ard_3-2-1_55HFA_2017-08-16_final
2017-08-23 09:32:19	ga_s2am_ard_3-2-1_55HFA_2017-08-23_final
2017-08-26 09:46:26	ga_s2am_ard_3-2-1_55HFA_2017-08-26_final
2017-09-02 09:36:28	ga_s2am_ard_3-2-1_55HFA_2017-09-02_final
2017-09-05 09:43:53	ga_s2am_ard_3-2-1_55HFA_2017-09-05_final
2017-09-12 09:33:18	ga_s2am_ard_3-2-1_55HFA_2017-09-12_final
2017-09-15 09:46:23	ga_s2am_ard_3-2-1_55HFA_2017-09-15_final
2017-09-22 09:36:24	ga_s2am_ard_3-2-1_55HFA_2017-09-22_final
2017-09-25 09:44:52	ga_s2am_ard_3-2-1_55HFA_2017-09-25_final
2017-10-02 09:32:37	ga_s2am_ard_3-2-1_55HFA_2017-10-02_final
2017-10-05 09:46:23	ga_s2am_ard_3-2-1_55HFA_2017-10-05_final
2017-10-12 09:36:27	ga_s2am_ard_3-2-1_55HFA_2017-10-12_final
2017-10-15 09:44:55	ga_s2am_ard_3-2-1_55HFA_2017-10-15_final
2017-10-22 09:32:39	ga_s2am_ard_3-2-1_55HFA_2017-10-22_final
2017-10-25 09:46:25	ga_s2am_ard_3-2-1_55HFA_2017-10-25_final
2017-11-01 09:36:28	ga_s2am_ard_3-2-1_55HFA_2017-11-01_final
2017-11-04 09:44:55	ga_s2am_ard_3-2-1_55HFA_2017-11-04_final
2017-11-11 09:32:38	ga_s2am_ard_3-2-1_55HFA_2017-11-11_final
2017-11-21 09:36:25	ga_s2am_ard_3-2-1_55HFA_2017-11-21_final
2017-11-24 09:42:46	ga_s2am_ard_3-2-1_55HFA_2017-11-24_final
2017-12-01 09:32:34	ga_s2am_ard_3-2-1_55HFA_2017-12-01_final
2017-12-14 09:42:44	ga_s2am_ard_3-2-1_55HFA_2017-12-14_final
2017-12-21 09:32:34	ga_s2am_ard_3-2-1_55HFA_2017-12-21_final
2017-12-24 09:46:20	ga_s2am_ard_3-2-1_55HFA_2017-12-24_final
2018-01-10 09:32:32	ga_s2am_ard_3-2-1_55HFA_2018-01-10_final
2018-01-23 09:42:44	ga_s2am_ard_3-2-1_55HFA_2018-01-23_final
2018-01-30 09:32:35	ga_s2am_ard_3-2-1_55HFA_2018-01-30_final
2018-02-09 09:32:58	ga_s2am_ard_3-2-1_55HFA_2018-02-09_final
2018-02-12 09:45:39	ga_s2am_ard_3-2-1_55HFA_2018-02-12_final
2018-02-22 09:42:24	ga_s2am_ard_3-2-1_55HFA_2018-02-22_final
2018-03-04 09:41:05	ga_s2am_ard_3-2-1_55HFA_2018-03-04_final
2018-03-14 09:41:04	ga_s2am_ard_3-2-1_55HFA_2018-03-14_final
2018-03-21 09:32:37	ga_s2am_ard_3-2-1_55HFA_2018-03-21_final
2018-03-24 09:42:28	ga_s2am_ard_3-2-1_55HFA_2018-03-24_final
2018-03-31 09:32:39	ga_s2am_ard_3-2-1_55HFA_2018-03-31_final
2018-04-03 09:41:08	ga_s2am_ard_3-2-1_55HFA_2018-04-03_final
2018-04-10 09:32:40	ga_s2am_ard_3-2-1_55HFA_2018-04-10_final
2018-04-13 09:41:10	ga_s2am_ard_3-2-1_55HFA_2018-04-13_final
2018-04-20 09:32:41	ga_s2am_ard_3-2-1_55HFA_2018-04-20_final
2018-04-23 09:42:37	ga_s2am_ard_3-2-1_55HFA_2018-04-23_final
2018-05-03 09:41:11	ga_s2am_ard_3-2-1_55HFA_2018-05-03_final
2018-05-10 09:32:42	ga_s2am_ard_3-2-1_55HFA_2018-05-10_final
2018-05-13 09:41:18	ga_s2am_ard_3-2-1_55HFA_2018-05-13_final
2018-05-20 09:32:42	ga_s2am_ard_3-2-1_55HFA_2018-05-20_final
2018-05-23 09:41:11	ga_s2am_ard_3-2-1_55HFA_2018-05-23_final
2018-05-30 09:32:41	ga_s2am_ard_3-2-1_55HFA_2018-05-30_final
2018-06-02 09:41:10	ga_s2am_ard_3-2-1_55HFA_2018-06-02_final
2018-06-09 09:32:54	ga_s2am_ard_3-2-1_55HFA_2018-06-09_final
2018-06-12 09:41:08	ga_s2am_ard_3-2-1_55HFA_2018-06-12_final
2018-06-19 09:32:58	ga_s2am_ard_3-2-1_55HFA_2018-06-19_final
2018-06-22 09:45:32	ga_s2am_ard_3-2-1_55HFA_2018-06-22_final
2018-06-29 09:32:41	ga_s2am_ard_3-2-1_55HFA_2018-06-29_final
2018-07-09 09:32:41	ga_s2am_ard_3-2-1_55HFA_2018-07-09_final
2018-07-12 09:41:10	ga_s2am_ard_3-2-1_55HFA_2018-07-12_final
2018-07-19 09:35:49	ga_s2am_ard_3-2-1_55HFA_2018-07-19_final
2018-07-22 09:41:21	ga_s2am_ard_3-2-1_55HFA_2018-07-22_final
2018-07-29 09:32:41	ga_s2am_ard_3-2-1_55HFA_2018-07-29_final
2023-03-08 09:46:32	ga_s2am_ard_3-2-1_55HFA_2023-03-08_final.stac-item
2023-03-18 09:46:35	ga_s2am_ard_3-2-1_55HFA_2023-03-18_final.stac-item
2023-07-16 09:45:14	ga_s2am_ard_3-2-1_55JFG_2023-07-16_final.stac-item
2023-08-25 09:45:15	ga_s2am_ard_3-2-1_55JFG_2023-08-25_final.stac-item
2023-09-04 09:46:46	ga_s2am_ard_3-2-1_55HFA_2023-09-04_final.stac-item
2023-11-13 09:46:38	ga_s2am_ard_3-2-1_55HFA_2023-11-13_final.stac-item
2024-02-01 09:46:36	ga_s2am_ard_3-2-1_55HFA_2024-02-01_final.stac-item
2024-02-11 09:46:34	ga_s2am_ard_3-2-1_55HFA_2024-02-11_final.stac-item
2024-03-02 09:46:41	ga_s2am_ard_3-2-1_55HFA_2024-03-02_final.stac-item
2024-03-12 09:46:41	ga_s2am_ard_3-2-1_55HFA_2024-03-12_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