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
2015-11-24 10:15:11	ga_s2am_ard_3-2-1_54HUE_2015-11-24_final.stac-item
2015-12-24 10:17:49	ga_s2am_ard_3-2-1_54HUE_2015-12-24_final.stac-item
2016-01-23 10:17:44	ga_s2am_ard_3-2-1_54HUE_2016-01-23_final.stac-item
2016-03-23 10:15:14	ga_s2am_ard_3-2-1_54HUE_2016-03-23_final.stac-item
2016-04-22 10:14:47	ga_s2am_ard_3-2-1_54HUE_2016-04-22_final.stac-item
2016-05-02 10:16:17	ga_s2am_ard_3-2-1_54HUE_2016-05-02_final.stac-item
2016-05-12 10:17:02	ga_s2am_ard_3-2-1_54HUE_2016-05-12_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54HUE_2016-06-21_final.stac-item
2016-07-11 10:17:03	ga_s2am_ard_3-2-1_54HUE_2016-07-11_final.stac-item
2016-07-31 10:16:52	ga_s2am_ard_3-2-1_54HUE_2016-07-31_final.stac-item
2016-08-20 10:17:02	ga_s2am_ard_3-2-1_54HUE_2016-08-20_final.stac-item
2016-09-09 10:16:54	ga_s2am_ard_3-2-1_54HUE_2016-09-09_final.stac-item
2016-09-29 10:16:55	ga_s2am_ard_3-2-1_54HUE_2016-09-29_final.stac-item
2016-10-19 10:12:09	ga_s2am_ard_3-2-1_54HUE_2016-10-19_final.stac-item
2016-10-29 10:15:44	ga_s2am_ard_3-2-1_54HUE_2016-10-29_final.stac-item
2016-11-08 10:12:13	ga_s2am_ard_3-2-1_54HUE_2016-11-08_final.stac-item
2016-11-18 10:13:00	ga_s2am_ard_3-2-1_54HUE_2016-11-18_final.stac-item
2016-12-08 10:14:03	ga_s2am_ard_3-2-1_54HUE_2016-12-08_final.stac-item
2016-12-18 10:14:12	ga_s2am_ard_3-2-1_54HUE_2016-12-18_final.stac-item
2016-12-28 10:14:12	ga_s2am_ard_3-2-1_54HUE_2016-12-28_final.stac-item
2017-01-17 10:13:08	ga_s2am_ard_3-2-1_54HUE_2017-01-17_final.stac-item
2017-01-27 10:12:43	ga_s2am_ard_3-2-1_54HUE_2017-01-27_final.stac-item
2017-02-06 10:13:02	ga_s2am_ard_3-2-1_54HUE_2017-02-06_final.stac-item
2017-02-16 10:12:41	ga_s2am_ard_3-2-1_54HUE_2017-02-16_final.stac-item
2017-03-08 10:16:23	ga_s2am_ard_3-2-1_54HUE_2017-03-08_final.stac-item
2017-03-28 10:16:25	ga_s2am_ard_3-2-1_54HUE_2017-03-28_final.stac-item
2017-04-17 10:16:30	ga_s2am_ard_3-2-1_54HUE_2017-04-17_final.stac-item
2017-05-07 10:16:23	ga_s2am_ard_3-2-1_54HUE_2017-05-07_final.stac-item
2017-05-27 10:16:33	ga_s2am_ard_3-2-1_54HUE_2017-05-27_final.stac-item
2017-06-16 10:16:57	ga_s2am_ard_3-2-1_54HUE_2017-06-16_final.stac-item
2017-07-06 10:16:30	ga_s2am_ard_3-2-1_54HUE_2017-07-06_final.stac-item
2017-07-26 10:16:32	ga_s2am_ard_3-2-1_54HUE_2017-07-26_final.stac-item
2017-08-15 10:13:18	ga_s2am_ard_3-2-1_54HUE_2017-08-15_final.stac-item
2017-09-24 10:13:12	ga_s2am_ard_3-2-1_54HUE_2017-09-24_final.stac-item
2017-10-14 10:13:15	ga_s2am_ard_3-2-1_54HUE_2017-10-14_final.stac-item
2017-11-03 10:13:41	ga_s2am_ard_3-2-1_54HUE_2017-11-03_final.stac-item
2017-11-23 10:16:52	ga_s2am_ard_3-2-1_54HUE_2017-11-23_final.stac-item
2017-12-13 10:16:51	ga_s2am_ard_3-2-1_54HUE_2017-12-13_final.stac-item
2018-01-02 10:16:50	ga_s2am_ard_3-2-1_54HUE_2018-01-02_final.stac-item
2018-01-22 10:16:50	ga_s2am_ard_3-2-1_54HUE_2018-01-22_final.stac-item
2018-02-11 10:16:53	ga_s2am_ard_3-2-1_54HUE_2018-02-11_final.stac-item
2018-02-21 10:07:01	ga_s2am_ard_3-2-1_54HUE_2018-02-21_final.stac-item
2018-03-03 10:16:13	ga_s2am_ard_3-2-1_54HUE_2018-03-03_final.stac-item
2018-03-13 10:16:12	ga_s2am_ard_3-2-1_54HUE_2018-03-13_final.stac-item
2018-03-23 10:07:02	ga_s2am_ard_3-2-1_54HUE_2018-03-23_final.stac-item
2018-04-02 10:07:04	ga_s2am_ard_3-2-1_54HUE_2018-04-02_final.stac-item
2018-04-12 10:17:00	ga_s2am_ard_3-2-1_54HUE_2018-04-12_final.stac-item
2018-04-22 10:07:06	ga_s2am_ard_3-2-1_54HUE_2018-04-22_final.stac-item
2018-05-02 10:10:40	ga_s2am_ard_3-2-1_54HUE_2018-05-02_final.stac-item
2018-05-02 10:17:17	ga_s2am_ard_3-2-1_54HUE_2018-05-02_final.stac-item
2018-05-12 10:07:07	ga_s2am_ard_3-2-1_54HUE_2018-05-12_final.stac-item
2018-05-22 10:07:06	ga_s2am_ard_3-2-1_54HUE_2018-05-22_final.stac-item
2018-06-01 10:07:05	ga_s2am_ard_3-2-1_54HUE_2018-06-01_final.stac-item
2018-06-11 10:07:04	ga_s2am_ard_3-2-1_54HUE_2018-06-11_final.stac-item
2018-06-21 10:07:04	ga_s2am_ard_3-2-1_54HUE_2018-06-21_final.stac-item
2018-07-01 10:12:01	ga_s2am_ard_3-2-1_54HUE_2018-07-01_final.stac-item
2018-07-11 10:07:06	ga_s2am_ard_3-2-1_54HUE_2018-07-11_final.stac-item
2018-07-21 10:07:06	ga_s2am_ard_3-2-1_54HUE_2018-07-21_final.stac-item
2018-07-31 10:07:05	ga_s2am_ard_3-2-1_54HUE_2018-07-31_final.stac-item
2018-08-10 10:07:04	ga_s2am_ard_3-2-1_54HUE_2018-08-10_final.stac-item
2022-05-21 10:17:21	ga_s2am_ard_3-2-1_54HUE_2022-05-21_final.stac-item
2022-05-31 10:17:23	ga_s2am_ard_3-2-1_54HUE_2022-05-31_final.stac-item
2022-06-10 10:17:24	ga_s2am_ard_3-2-1_54HUE_2022-06-10_final.stac-item
2022-06-20 10:17:27	ga_s2am_ard_3-2-1_54HUE_2022-06-20_final.stac-item
2022-06-30 10:17:28	ga_s2am_ard_3-2-1_54HUE_2022-06-30_final.stac-item
2022-07-10 10:17:28	ga_s2am_ard_3-2-1_54HUE_2022-07-10_final.stac-item
2022-07-20 10:17:26	ga_s2am_ard_3-2-1_54HUE_2022-07-20_final.stac-item
2022-07-30 10:17:25	ga_s2am_ard_3-2-1_54HUE_2022-07-30_final.stac-item
2022-08-09 10:17:26	ga_s2am_ard_3-2-1_54HUE_2022-08-09_final.stac-item
2022-08-19 10:17:27	ga_s2am_ard_3-2-1_54HUE_2022-08-19_final.stac-item
2022-09-08 10:17:26	ga_s2am_ard_3-2-1_54HUE_2022-09-08_final.stac-item
2022-09-18 10:17:23	ga_s2am_ard_3-2-1_54HUE_2022-09-18_final.stac-item
2022-09-28 10:17:22	ga_s2am_ard_3-2-1_54HUE_2022-09-28_final.stac-item
2022-10-08 10:17:21	ga_s2am_ard_3-2-1_54HUE_2022-10-08_final.stac-item
2022-10-18 10:17:18	ga_s2am_ard_3-2-1_54HUE_2022-10-18_final.stac-item
2022-10-28 10:17:18	ga_s2am_ard_3-2-1_54HUE_2022-10-28_final.stac-item
2022-11-07 10:17:19	ga_s2am_ard_3-2-1_54HUE_2022-11-07_final.stac-item
2022-11-17 10:17:17	ga_s2am_ard_3-2-1_54HUE_2022-11-17_final.stac-item
2022-11-27 10:17:14	ga_s2am_ard_3-2-1_54HUE_2022-11-27_final.stac-item
2022-12-07 10:17:15	ga_s2am_ard_3-2-1_54HUE_2022-12-07_final.stac-item
2022-12-17 10:17:14	ga_s2am_ard_3-2-1_54HUE_2022-12-17_final.stac-item
2022-12-27 10:17:13	ga_s2am_ard_3-2-1_54HUE_2022-12-27_final.stac-item
2023-02-25 10:17:12	ga_s2am_ard_3-2-1_54HUE_2023-02-25_final.stac-item
2023-03-07 10:17:11	ga_s2am_ard_3-2-1_54HUE_2023-03-07_final.stac-item
2023-03-17 10:17:12	ga_s2am_ard_3-2-1_54HUE_2023-03-17_final.stac-item
2023-03-27 10:17:13	ga_s2am_ard_3-2-1_54HUE_2023-03-27_final.stac-item
2023-04-06 10:17:15	ga_s2am_ard_3-2-1_54HUE_2023-04-06_final.stac-item
2023-04-16 10:17:14	ga_s2am_ard_3-2-1_54HUE_2023-04-16_final.stac-item
2023-04-26 10:17:15	ga_s2am_ard_3-2-1_54HUE_2023-04-26_final.stac-item
2023-05-06 10:17:15	ga_s2am_ard_3-2-1_54HUE_2023-05-06_final.stac-item
2023-05-16 10:17:16	ga_s2am_ard_3-2-1_54HUE_2023-05-16_final.stac-item
2023-05-26 10:17:18	ga_s2am_ard_3-2-1_54HUE_2023-05-26_final.stac-item
2023-06-05 10:17:18	ga_s2am_ard_3-2-1_54HUE_2023-06-05_final.stac-item
2023-06-15 10:17:19	ga_s2am_ard_3-2-1_54HUE_2023-06-15_final.stac-item
2023-06-25 10:17:18	ga_s2am_ard_3-2-1_54HUE_2023-06-25_final.stac-item
2023-07-05 10:17:20	ga_s2am_ard_3-2-1_54HUE_2023-07-05_final.stac-item
2023-07-15 10:17:20	ga_s2am_ard_3-2-1_54HUE_2023-07-15_final.stac-item
2023-07-25 10:17:20	ga_s2am_ard_3-2-1_54HUE_2023-07-25_final.stac-item
2023-08-04 10:17:20	ga_s2am_ard_3-2-1_54HUE_2023-08-04_final.stac-item
2023-08-14 10:17:20	ga_s2am_ard_3-2-1_54HUE_2023-08-14_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