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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
2016-12-08 10:14:03	ga_s2am_ard_3-2-1_54JUP_2016-12-08_final
2016-12-11 10:20:28	ga_s2am_ard_3-2-1_54JUP_2016-12-11_final
2016-12-18 10:14:12	ga_s2am_ard_3-2-1_54JUP_2016-12-18_final
2016-12-28 10:14:12	ga_s2am_ard_3-2-1_54JUP_2016-12-28_final
2016-12-31 10:20:29	ga_s2am_ard_3-2-1_54JUP_2016-12-31_final
2017-01-20 10:24:01	ga_s2am_ard_3-2-1_54JUP_2017-01-20_final
2017-02-19 10:23:19	ga_s2am_ard_3-2-1_54JUP_2017-02-19_final
2017-03-01 10:23:00	ga_s2am_ard_3-2-1_54JUP_2017-03-01_final
2017-03-21 10:22:59	ga_s2am_ard_3-2-1_54JUP_2017-03-21_final
2017-04-10 10:23:05	ga_s2am_ard_3-2-1_54JUP_2017-04-10_final
2017-04-17 10:11:06	ga_s2am_ard_3-2-1_54JUP_2017-04-17_final
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54JUP_2017-05-07_final
2017-05-27 10:11:09	ga_s2am_ard_3-2-1_54JUP_2017-05-27_final
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_54JUP_2017-06-09_final
2017-08-08 10:22:57	ga_s2am_ard_3-2-1_54JUP_2017-08-08_final
2017-08-28 10:23:07	ga_s2am_ard_3-2-1_54JUP_2017-08-28_final
2017-09-17 10:23:03	ga_s2am_ard_3-2-1_54JUP_2017-09-17_final
2017-09-24 10:13:12	ga_s2am_ard_3-2-1_54JUP_2017-09-24_final
2017-10-14 10:13:15	ga_s2am_ard_3-2-1_54JUP_2017-10-14_final
2017-12-06 10:23:23	ga_s2am_ard_3-2-1_54JUP_2017-12-06_final
2017-12-26 10:23:22	ga_s2am_ard_3-2-1_54JUP_2017-12-26_final
2018-01-15 10:23:20	ga_s2am_ard_3-2-1_54JUP_2018-01-15_final
2018-01-22 10:11:25	ga_s2am_ard_3-2-1_54JUP_2018-01-22_final
2018-02-11 10:11:28	ga_s2am_ard_3-2-1_54JUP_2018-02-11_final
2019-12-26 10:24:40	ga_s2am_ard_3-2-1_54JUQ_2019-12-26_final
2020-01-05 10:24:40	ga_s2am_ard_3-2-1_54JUQ_2020-01-05_final
2020-01-15 10:24:39	ga_s2am_ard_3-2-1_54JUQ_2020-01-15_final
2020-01-25 10:24:38	ga_s2am_ard_3-2-1_54JUQ_2020-01-25_final
2020-02-04 10:24:37	ga_s2am_ard_3-2-1_54JUQ_2020-02-04_final
2020-02-14 10:24:38	ga_s2am_ard_3-2-1_54JUQ_2020-02-14_final
2020-02-24 10:24:40	ga_s2am_ard_3-2-1_54JUQ_2020-02-24_final
2020-03-05 10:24:41	ga_s2am_ard_3-2-1_54JUQ_2020-03-05_final
2020-03-15 10:24:41	ga_s2am_ard_3-2-1_54JUQ_2020-03-15_final
2020-03-25 10:24:41	ga_s2am_ard_3-2-1_54JUQ_2020-03-25_final
2020-04-04 10:24:41	ga_s2am_ard_3-2-1_54JUQ_2020-04-04_final
2020-04-14 10:24:44	ga_s2am_ard_3-2-1_54JUQ_2020-04-14_final
2020-04-24 10:24:47	ga_s2am_ard_3-2-1_54JUQ_2020-04-24_final
2020-05-04 10:24:49	ga_s2am_ard_3-2-1_54JUQ_2020-05-04_final
2020-05-14 10:24:50	ga_s2am_ard_3-2-1_54JUQ_2020-05-14_final
2020-05-24 10:24:51	ga_s2am_ard_3-2-1_54JUQ_2020-05-24_final
2020-06-03 10:24:51	ga_s2am_ard_3-2-1_54JUQ_2020-06-03_final
2020-06-13 10:24:51	ga_s2am_ard_3-2-1_54JUQ_2020-06-13_final
2020-06-23 10:24:51	ga_s2am_ard_3-2-1_54JUQ_2020-06-23_final
2020-07-03 10:24:50	ga_s2am_ard_3-2-1_54JUQ_2020-07-03_final
2020-07-13 10:24:49	ga_s2am_ard_3-2-1_54JUQ_2020-07-13_final
2020-07-23 10:24:50	ga_s2am_ard_3-2-1_54JUQ_2020-07-23_final
2020-08-02 10:24:51	ga_s2am_ard_3-2-1_54JUQ_2020-08-02_final
2020-08-12 10:24:51	ga_s2am_ard_3-2-1_54JUQ_2020-08-12_final
2020-08-22 10:24:51	ga_s2am_ard_3-2-1_54JUQ_2020-08-22_final
2020-09-01 10:24:50	ga_s2am_ard_3-2-1_54JUQ_2020-09-01_final
2020-09-11 10:24:49	ga_s2am_ard_3-2-1_54JUQ_2020-09-11_final
2020-09-21 10:24:50	ga_s2am_ard_3-2-1_54JUQ_2020-09-21_final
2020-10-11 10:24:51	ga_s2am_ard_3-2-1_54JUQ_2020-10-11_final
2020-10-21 10:24:50	ga_s2am_ard_3-2-1_54JUQ_2020-10-21_final
2020-10-31 10:24:50	ga_s2am_ard_3-2-1_54JUQ_2020-10-31_final
2020-11-10 10:24:49	ga_s2am_ard_3-2-1_54JUQ_2020-11-10_final
2020-11-20 10:24:48	ga_s2am_ard_3-2-1_54JUQ_2020-11-20_final
2020-11-30 10:24:45	ga_s2am_ard_3-2-1_54JUQ_2020-11-30_final
2020-12-10 10:24:42	ga_s2am_ard_3-2-1_54JUQ_2020-12-10_final
2020-12-20 10:24:43	ga_s2am_ard_3-2-1_54JUQ_2020-12-20_final
2020-12-30 10:24:45	ga_s2am_ard_3-2-1_54JUQ_2020-12-30_final
2021-01-09 10:24:46	ga_s2am_ard_3-2-1_54JUQ_2021-01-09_final
2021-01-19 10:24:46	ga_s2am_ard_3-2-1_54JUQ_2021-01-19_final
2021-01-29 10:24:45	ga_s2am_ard_3-2-1_54JUQ_2021-01-29_final
2021-02-08 10:24:44	ga_s2am_ard_3-2-1_54JUQ_2021-02-08_final
2021-02-18 10:24:44	ga_s2am_ard_3-2-1_54JUQ_2021-02-18_final
2021-02-28 10:24:45	ga_s2am_ard_3-2-1_54JUQ_2021-02-28_final
2021-03-10 10:24:45	ga_s2am_ard_3-2-1_54JUQ_2021-03-10_final
2021-03-17 10:16:59	ga_s2am_ard_3-2-1_54HUF_2021-03-17_final
2021-03-20 10:24:44	ga_s2am_ard_3-2-1_54JUQ_2021-03-20_final
2021-03-27 10:16:58	ga_s2am_ard_3-2-1_54HUF_2021-03-27_final
2021-03-30 10:24:43	ga_s2am_ard_3-2-1_54JUQ_2021-03-30_final
2021-04-06 10:16:56	ga_s2am_ard_3-2-1_54HUF_2021-04-06_final
2021-04-09 10:24:41	ga_s2am_ard_3-2-1_54JUQ_2021-04-09_final
2021-04-16 10:16:54	ga_s2am_ard_3-2-1_54HUF_2021-04-16_final
2021-04-19 10:24:40	ga_s2am_ard_3-2-1_54JUQ_2021-04-19_final
2021-04-26 10:16:57	ga_s2am_ard_3-2-1_54HUF_2021-04-26_final
2021-04-29 10:24:42	ga_s2am_ard_3-2-1_54JUQ_2021-04-29_final
2021-05-06 10:16:59	ga_s2am_ard_3-2-1_54HUF_2021-05-06_final
2021-05-16 10:17:00	ga_s2am_ard_3-2-1_54HUF_2021-05-16_final
2021-05-26 10:17:01	ga_s2am_ard_3-2-1_54HUF_2021-05-26_final
2021-06-05 10:17:01	ga_s2am_ard_3-2-1_54HUF_2021-06-05_final
2021-06-15 10:17:00	ga_s2am_ard_3-2-1_54HUF_2021-06-15_final
2021-06-25 10:17:01	ga_s2am_ard_3-2-1_54HUF_2021-06-25_final
2021-07-05 10:17:03	ga_s2am_ard_3-2-1_54HUF_2021-07-05_final
2021-07-15 10:17:03	ga_s2am_ard_3-2-1_54HUF_2021-07-15_final
2021-07-25 10:17:03	ga_s2am_ard_3-2-1_54HUF_2021-07-25_final
2021-08-04 10:17:03	ga_s2am_ard_3-2-1_54HUF_2021-08-04_final
2021-08-14 10:17:03	ga_s2am_ard_3-2-1_54HUF_2021-08-14_final
2021-08-24 10:17:02	ga_s2am_ard_3-2-1_54HUF_2021-08-24_final
2021-09-03 10:17:01	ga_s2am_ard_3-2-1_54HUF_2021-09-03_final
2021-09-13 10:17:01	ga_s2am_ard_3-2-1_54HUF_2021-09-13_final
2021-09-23 10:17:03	ga_s2am_ard_3-2-1_54HUF_2021-09-23_final
2021-10-03 10:17:05	ga_s2am_ard_3-2-1_54HUF_2021-10-03_final
2021-10-13 10:17:05	ga_s2am_ard_3-2-1_54HUF_2021-10-13_final
2021-10-23 10:17:05	ga_s2am_ard_3-2-1_54HUF_2021-10-23_final
2021-11-02 10:17:04	ga_s2am_ard_3-2-1_54HUF_2021-11-02_final
2021-11-12 10:17:02	ga_s2am_ard_3-2-1_54HUF_2021-11-12_final
2022-11-10 10:24:54	ga_s2am_ard_3-2-1_54JUP_2022-11-10_final.stac-item
2023-05-29 10:24:59	ga_s2am_ard_3-2-1_54JUP_2023-05-29_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