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
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51JWJ_2018-05-26_final
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JWJ_2018-06-05_final
2018-06-12 11:22:26	ga_s2am_ard_3-2-1_51JWJ_2018-06-12_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_51JWJ_2018-06-15_final
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51JWJ_2018-06-22_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51JWJ_2018-07-02_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51JWJ_2018-07-05_final
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_51JWJ_2018-07-12_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51JWJ_2018-07-15_final
2018-07-22 11:23:33	ga_s2am_ard_3-2-1_51JWJ_2018-07-22_final
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51JWJ_2018-07-22_final
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51JWJ_2018-08-11_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51JWJ_2018-08-14_final
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51JWJ_2018-08-21_final
2018-08-24 11:33:07	ga_s2am_ard_3-2-1_51JWJ_2018-08-24_final
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51JWJ_2018-08-31_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51JWJ_2018-09-03_final
2018-09-10 11:21:45	ga_s2am_ard_3-2-1_51JWJ_2018-09-10_final
2018-09-13 11:33:05	ga_s2am_ard_3-2-1_51JWJ_2018-09-13_final
2018-09-20 11:24:00	ga_s2am_ard_3-2-1_51JWJ_2018-09-20_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JWJ_2018-09-30_final
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51JWJ_2018-10-03_final
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51JWJ_2018-10-10_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51JWJ_2018-10-13_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51JWJ_2018-10-23_final
2018-10-30 11:24:52	ga_s2am_ard_3-2-1_51JWJ_2018-10-30_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51JWJ_2018-11-02_final
2018-11-09 11:25:23	ga_s2am_ard_3-2-1_51JWJ_2018-11-09_final
2018-11-12 11:35:14	ga_s2am_ard_3-2-1_51JWJ_2018-11-12_final
2018-11-19 11:25:21	ga_s2am_ard_3-2-1_51JWJ_2018-11-19_final
2018-11-22 11:35:12	ga_s2am_ard_3-2-1_51JWJ_2018-11-22_final
2018-11-29 11:25:19	ga_s2am_ard_3-2-1_51JWJ_2018-11-29_final
2018-12-02 11:35:11	ga_s2am_ard_3-2-1_51JWJ_2018-12-02_final
2018-12-09 11:25:19	ga_s2am_ard_3-2-1_51JWJ_2018-12-09_final
2018-12-12 11:35:11	ga_s2am_ard_3-2-1_51JWJ_2018-12-12_final
2018-12-19 11:25:19	ga_s2am_ard_3-2-1_51JWJ_2018-12-19_final
2018-12-22 11:35:11	ga_s2am_ard_3-2-1_51JWJ_2018-12-22_final
2018-12-29 11:25:21	ga_s2am_ard_3-2-1_51JWJ_2018-12-29_final
2019-01-01 11:35:13	ga_s2am_ard_3-2-1_51JWJ_2019-01-01_final
2019-01-08 11:25:23	ga_s2am_ard_3-2-1_51JWJ_2019-01-08_final
2019-01-11 11:35:15	ga_s2am_ard_3-2-1_51JWJ_2019-01-11_final
2019-01-18 11:25:24	ga_s2am_ard_3-2-1_51JWJ_2019-01-18_final
2019-01-21 11:35:16	ga_s2am_ard_3-2-1_51JWJ_2019-01-21_final
2019-01-28 11:25:24	ga_s2am_ard_3-2-1_51JWJ_2019-01-28_final
2019-01-31 11:35:16	ga_s2am_ard_3-2-1_51JWJ_2019-01-31_final
2019-02-07 11:25:25	ga_s2am_ard_3-2-1_51JWJ_2019-02-07_final
2019-02-10 11:35:16	ga_s2am_ard_3-2-1_51JWJ_2019-02-10_final
2019-02-17 11:25:24	ga_s2am_ard_3-2-1_51JWJ_2019-02-17_final
2019-02-20 11:35:15	ga_s2am_ard_3-2-1_51JWJ_2019-02-20_final
2019-02-27 11:25:23	ga_s2am_ard_3-2-1_51JWJ_2019-02-27_final
2019-03-02 11:35:14	ga_s2am_ard_3-2-1_51JWJ_2019-03-02_final
2019-03-09 11:25:22	ga_s2am_ard_3-2-1_51JWJ_2019-03-09_final
2019-03-12 11:35:15	ga_s2am_ard_3-2-1_51JWJ_2019-03-12_final
2019-03-19 11:25:25	ga_s2am_ard_3-2-1_51JWJ_2019-03-19_final
2019-03-22 11:35:17	ga_s2am_ard_3-2-1_51JWJ_2019-03-22_final
2019-03-29 11:25:27	ga_s2am_ard_3-2-1_51JWJ_2019-03-29_final
2019-04-01 11:35:19	ga_s2am_ard_3-2-1_51JWJ_2019-04-01_final
2019-04-08 11:25:29	ga_s2am_ard_3-2-1_51JWJ_2019-04-08_final
2021-04-27 11:25:24	ga_s2am_ard_3-2-1_51JWJ_2021-04-27_final
2021-05-07 11:25:26	ga_s2am_ard_3-2-1_51JWJ_2021-05-07_final
2021-05-10 11:35:18	ga_s2am_ard_3-2-1_51JWJ_2021-05-10_final
2021-05-17 11:25:28	ga_s2am_ard_3-2-1_51JWJ_2021-05-17_final
2021-05-20 11:35:19	ga_s2am_ard_3-2-1_51JWJ_2021-05-20_final
2021-05-27 11:25:28	ga_s2am_ard_3-2-1_51JWJ_2021-05-27_final
2021-06-09 11:35:20	ga_s2am_ard_3-2-1_51JWJ_2021-06-09_final
2021-06-26 11:25:29	ga_s2am_ard_3-2-1_51JWJ_2021-06-26_final
2021-06-29 11:35:21	ga_s2am_ard_3-2-1_51JWJ_2021-06-29_final
2021-07-06 11:25:30	ga_s2am_ard_3-2-1_51JWJ_2021-07-06_final
2021-07-09 11:35:22	ga_s2am_ard_3-2-1_51JWJ_2021-07-09_final
2021-07-16 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2021-07-16_final
2021-07-19 11:35:22	ga_s2am_ard_3-2-1_51JWJ_2021-07-19_final
2021-07-26 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2021-07-26_final
2021-07-29 11:35:22	ga_s2am_ard_3-2-1_51JWJ_2021-07-29_final
2021-08-05 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2021-08-05_final
2021-08-08 11:35:22	ga_s2am_ard_3-2-1_51JWJ_2021-08-08_final
2021-08-15 11:25:30	ga_s2am_ard_3-2-1_51JWJ_2021-08-15_final
2021-08-18 11:35:22	ga_s2am_ard_3-2-1_51JWJ_2021-08-18_final
2021-08-25 11:25:30	ga_s2am_ard_3-2-1_51JWJ_2021-08-25_final
2021-08-28 11:35:21	ga_s2am_ard_3-2-1_51JWJ_2021-08-28_final
2021-09-04 11:25:28	ga_s2am_ard_3-2-1_51JWJ_2021-09-04_final
2021-09-07 11:35:20	ga_s2am_ard_3-2-1_51JWJ_2021-09-07_final
2021-09-14 11:25:29	ga_s2am_ard_3-2-1_51JWJ_2021-09-14_final
2021-09-17 11:35:21	ga_s2am_ard_3-2-1_51JWJ_2021-09-17_final
2021-09-24 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2021-09-24_final
2021-09-27 11:35:23	ga_s2am_ard_3-2-1_51JWJ_2021-09-27_final
2021-10-04 11:25:32	ga_s2am_ard_3-2-1_51JWJ_2021-10-04_final
2021-10-07 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2021-10-07_final
2021-10-14 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2021-10-14_final
2021-10-24 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2021-10-24_final
2021-10-27 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2021-10-27_final
2021-11-03 11:25:32	ga_s2am_ard_3-2-1_51JWJ_2021-11-03_final
2021-11-06 11:35:23	ga_s2am_ard_3-2-1_51JWJ_2021-11-06_final
2021-11-13 11:25:29	ga_s2am_ard_3-2-1_51JWJ_2021-11-13_final
2021-11-16 11:35:20	ga_s2am_ard_3-2-1_51JWJ_2021-11-16_final
2021-11-23 11:25:28	ga_s2am_ard_3-2-1_51JWJ_2021-11-23_final
2021-11-26 11:35:19	ga_s2am_ard_3-2-1_51JWJ_2021-11-26_final
2021-12-03 11:25:27	ga_s2am_ard_3-2-1_51JWJ_2021-12-03_final
2021-12-06 11:35:18	ga_s2am_ard_3-2-1_51JWJ_2021-12-06_final
2021-12-13 11:25:27	ga_s2am_ard_3-2-1_51JWJ_2021-12-13_final
2021-12-16 11:35:19	ga_s2am_ard_3-2-1_51JWJ_2021-12-16_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