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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
2016-12-23 09:22:39	ga_s2am_ard_3-2-1_56JML_2016-12-22_final
2017-02-11 09:24:02	ga_s2am_ard_3-2-1_56JML_2017-02-10_final
2017-02-21 09:22:38	ga_s2am_ard_3-2-1_56JML_2017-02-20_final
2017-03-13 09:24:03	ga_s2am_ard_3-2-1_56JML_2017-03-12_final
2017-06-11 09:22:46	ga_s2am_ard_3-2-1_56JML_2017-06-10_final
2017-07-01 09:24:38	ga_s2am_ard_3-2-1_56JML_2017-06-30_final
2017-09-09 09:24:10	ga_s2am_ard_3-2-1_56JML_2017-09-08_final
2017-09-19 09:22:41	ga_s2am_ard_3-2-1_56JML_2017-09-18_final
2017-10-09 09:22:43	ga_s2am_ard_3-2-1_56JML_2017-10-08_final
2017-10-19 09:24:11	ga_s2am_ard_3-2-1_56JML_2017-10-18_final
2017-10-29 09:22:44	ga_s2am_ard_3-2-1_56JML_2017-10-28_final
2017-11-08 09:25:00	ga_s2am_ard_3-2-1_56JML_2017-11-07_final
2017-11-18 09:23:54	ga_s2am_ard_3-2-1_56JML_2017-11-17_final
2017-11-28 09:22:39	ga_s2am_ard_3-2-1_56JML_2017-11-27_final
2017-12-08 09:23:51	ga_s2am_ard_3-2-1_56JML_2017-12-07_final
2017-12-28 09:23:50	ga_s2am_ard_3-2-1_56JML_2017-12-27_final
2018-01-07 09:22:37	ga_s2am_ard_3-2-1_56JML_2018-01-06_final
2018-01-17 09:23:50	ga_s2am_ard_3-2-1_56JML_2018-01-16_final
2018-02-06 09:23:03	ga_s2am_ard_3-2-1_56JML_2018-02-05_final
2018-02-16 09:23:21	ga_s2am_ard_3-2-1_56JML_2018-02-15_final
2018-02-26 09:22:41	ga_s2am_ard_3-2-1_56JML_2018-02-25_final
2018-03-08 09:22:41	ga_s2am_ard_3-2-1_56JML_2018-03-07_final
2018-03-18 09:22:41	ga_s2am_ard_3-2-1_56JML_2018-03-17_final
2018-03-28 09:22:43	ga_s2am_ard_3-2-1_56JML_2018-03-27_final
2018-04-07 09:22:45	ga_s2am_ard_3-2-1_56JML_2018-04-06_final
2018-04-27 09:22:47	ga_s2am_ard_3-2-1_56JML_2018-04-26_final
2018-05-07 09:22:47	ga_s2am_ard_3-2-1_56JML_2018-05-06_final
2018-05-17 09:23:29	ga_s2am_ard_3-2-1_56JML_2018-05-16_final
2018-05-27 09:22:46	ga_s2am_ard_3-2-1_56JML_2018-05-26_final
2018-06-06 09:22:45	ga_s2am_ard_3-2-1_56JML_2018-06-05_final
2018-06-16 09:22:44	ga_s2am_ard_3-2-1_56JML_2018-06-15_final
2018-06-26 09:25:16	ga_s2am_ard_3-2-1_56JML_2018-06-25_final
2018-07-06 09:23:51	ga_s2am_ard_3-2-1_56JML_2018-07-05_final
2018-07-16 09:22:46	ga_s2am_ard_3-2-1_56JML_2018-07-15_final
2018-07-26 09:25:17	ga_s2am_ard_3-2-1_56JML_2018-07-25_final
2018-08-05 09:22:45	ga_s2am_ard_3-2-1_56JML_2018-08-04_final
2018-08-15 09:22:44	ga_s2am_ard_3-2-1_56JML_2018-08-14_final
2018-08-25 09:22:43	ga_s2am_ard_3-2-1_56JML_2018-08-24_final
2018-09-04 09:22:42	ga_s2am_ard_3-2-1_56JML_2018-09-03_final
2018-09-14 09:22:41	ga_s2am_ard_3-2-1_56JML_2018-09-13_final
2018-10-04 09:22:41	ga_s2am_ard_3-2-1_56JML_2018-10-03_final
2018-10-14 09:22:42	ga_s2am_ard_3-2-1_56JML_2018-10-13_final
2018-10-24 09:22:42	ga_s2am_ard_3-2-1_56JML_2018-10-23_final
2018-11-03 09:22:41	ga_s2am_ard_3-2-1_56JML_2018-11-02_final
2018-11-13 09:25:20	ga_s2am_ard_3-2-1_56JML_2018-11-12_final
2018-11-23 09:25:18	ga_s2am_ard_3-2-1_56JML_2018-11-22_final
2018-12-03 09:25:16	ga_s2am_ard_3-2-1_56JML_2018-12-02_final
2018-12-13 09:25:17	ga_s2am_ard_3-2-1_56JML_2018-12-12_final
2018-12-23 09:25:17	ga_s2am_ard_3-2-1_56JML_2018-12-22_final
2019-01-02 09:25:19	ga_s2am_ard_3-2-1_56JML_2019-01-01_final
2019-01-12 09:25:21	ga_s2am_ard_3-2-1_56JML_2019-01-11_final
2019-01-22 09:25:21	ga_s2am_ard_3-2-1_56JML_2019-01-21_final
2019-02-01 09:25:22	ga_s2am_ard_3-2-1_56JML_2019-01-31_final
2019-02-11 09:25:22	ga_s2am_ard_3-2-1_56JML_2019-02-10_final
2019-02-21 09:25:21	ga_s2am_ard_3-2-1_56JML_2019-02-20_final
2019-03-03 09:25:20	ga_s2am_ard_3-2-1_56JML_2019-03-02_final
2019-03-13 09:25:21	ga_s2am_ard_3-2-1_56JML_2019-03-12_final
2019-03-23 09:25:23	ga_s2am_ard_3-2-1_56JML_2019-03-22_final
2019-04-02 09:25:25	ga_s2am_ard_3-2-1_56JML_2019-04-01_final
2019-04-12 09:25:27	ga_s2am_ard_3-2-1_56JML_2019-04-11_final
2019-04-22 09:25:28	ga_s2am_ard_3-2-1_56JML_2019-04-21_final
2019-05-02 09:25:29	ga_s2am_ard_3-2-1_56JML_2019-05-01_final
2019-05-12 09:25:29	ga_s2am_ard_3-2-1_56JML_2019-05-11_final
2019-05-22 09:25:28	ga_s2am_ard_3-2-1_56JML_2019-05-21_final
2019-06-01 09:25:27	ga_s2am_ard_3-2-1_56JML_2019-05-31_final
2019-06-11 09:25:28	ga_s2am_ard_3-2-1_56JML_2019-06-10_final
2019-06-21 09:25:29	ga_s2am_ard_3-2-1_56JML_2019-06-20_final
2019-07-01 09:25:30	ga_s2am_ard_3-2-1_56JML_2019-06-30_final
2019-07-11 09:25:30	ga_s2am_ard_3-2-1_56JML_2019-07-10_final
2019-07-21 09:25:30	ga_s2am_ard_3-2-1_56JML_2019-07-20_final
2019-07-31 09:25:30	ga_s2am_ard_3-2-1_56JML_2019-07-30_final
2019-08-10 09:25:29	ga_s2am_ard_3-2-1_56JML_2019-08-09_final
2019-08-20 09:25:28	ga_s2am_ard_3-2-1_56JML_2019-08-19_final
2019-08-30 09:25:26	ga_s2am_ard_3-2-1_56JML_2019-08-29_final
2019-09-09 09:25:24	ga_s2am_ard_3-2-1_56JML_2019-09-08_final
2019-09-19 09:25:25	ga_s2am_ard_3-2-1_56JML_2019-09-18_final
2021-05-02 10:35:50	ga_s2am_ard_3-2-1_53JNF_2021-05-02_final
2021-05-12 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-05-12_final
2021-05-22 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-05-22_final
2021-06-01 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-06-01_final
2021-06-11 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-06-11_final
2021-06-21 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-06-21_final
2021-07-01 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-07-01_final
2021-07-11 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-07-11_final
2021-07-21 10:35:56	ga_s2am_ard_3-2-1_53JNF_2021-07-21_final
2021-07-31 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-07-31_final
2021-08-10 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-08-10_final
2021-08-20 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-08-20_final
2021-08-30 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-08-30_final
2021-09-09 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-09-09_final
2021-09-19 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-09-19_final
2021-09-29 10:35:56	ga_s2am_ard_3-2-1_53JNF_2021-09-29_final
2021-10-09 10:35:57	ga_s2am_ard_3-2-1_53JNF_2021-10-09_final
2021-10-19 10:35:58	ga_s2am_ard_3-2-1_53JNF_2021-10-19_final
2021-10-29 10:35:57	ga_s2am_ard_3-2-1_53JNF_2021-10-29_final
2021-11-08 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-11-08_final
2021-11-18 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-11-18_final
2021-11-28 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-11-28_final
2021-12-08 10:35:51	ga_s2am_ard_3-2-1_53JNF_2021-12-08_final
2021-12-18 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-12-18_final

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