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
2017-04-08 09:42:11	ga_s2am_ard_3-2-1_55KHS_2017-04-08_final.stac-item
2017-04-18 09:42:13	ga_s2am_ard_3-2-1_55KHS_2017-04-18_final.stac-item
2017-04-28 09:42:15	ga_s2am_ard_3-2-1_55KHS_2017-04-28_final
2017-05-08 09:42:15	ga_s2am_ard_3-2-1_55KHS_2017-05-08_final
2017-05-18 09:42:16	ga_s2am_ard_3-2-1_55KHS_2017-05-18_final
2017-05-28 09:42:15	ga_s2am_ard_3-2-1_55KHS_2017-05-28_final
2017-06-07 09:42:14	ga_s2am_ard_3-2-1_55KHS_2017-06-07_final
2017-06-17 09:42:13	ga_s2am_ard_3-2-1_55KHS_2017-06-17_final
2017-06-27 09:42:11	ga_s2am_ard_3-2-1_55KHS_2017-06-27_final
2017-07-07 09:42:12	ga_s2am_ard_3-2-1_55KHS_2017-07-07_final
2017-07-17 09:42:14	ga_s2am_ard_3-2-1_55KHS_2017-07-17_final
2017-07-27 09:42:14	ga_s2am_ard_3-2-1_55KHS_2017-07-27_final
2017-08-06 09:42:14	ga_s2am_ard_3-2-1_55KHS_2017-08-06_final
2017-08-16 09:37:32	ga_s2am_ard_3-2-1_55KHS_2017-08-16_final
2017-08-26 09:41:04	ga_s2am_ard_3-2-1_55KHS_2017-08-26_final
2017-09-05 09:37:31	ga_s2am_ard_3-2-1_55KHS_2017-09-05_final
2017-09-15 09:41:36	ga_s2am_ard_3-2-1_55KHS_2017-09-15_final
2017-09-25 09:41:05	ga_s2am_ard_3-2-1_55KHS_2017-09-25_final
2017-10-05 09:41:06	ga_s2am_ard_3-2-1_55KHS_2017-10-05_final
2017-10-15 09:41:08	ga_s2am_ard_3-2-1_55KHS_2017-10-15_final
2017-10-25 09:41:08	ga_s2am_ard_3-2-1_55KHS_2017-10-25_final
2017-11-04 09:41:08	ga_s2am_ard_3-2-1_55KHS_2017-11-04_final
2017-11-14 09:41:07	ga_s2am_ard_3-2-1_55KHS_2017-11-14_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHS_2018-06-24_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-07-04_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49KHS_2018-07-14_final.stac-item
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50KRB_2018-08-07_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHS_2018-08-13_final.stac-item
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50KRB_2018-08-17_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50KRB_2018-08-27_final
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_50KRB_2018-09-06_final
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50KRB_2018-09-26_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-10-02_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50KRB_2018-10-06_final
2018-10-16 11:40:28	ga_s2am_ard_3-2-1_50KRB_2018-10-16_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-10-22_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50KRB_2018-10-26_final
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_50KRB_2018-11-05_final
2018-11-11 12:03:39	ga_s2am_ard_3-2-1_49KHS_2018-11-11_final.stac-item
2018-11-15 11:43:27	ga_s2am_ard_3-2-1_50KRB_2018-11-15_final
2018-11-21 12:03:38	ga_s2am_ard_3-2-1_49KHS_2018-11-21_final.stac-item
2018-11-25 11:43:25	ga_s2am_ard_3-2-1_50KRB_2018-11-25_final
2018-12-15 11:43:24	ga_s2am_ard_3-2-1_50KRB_2018-12-15_final
2018-12-25 11:43:25	ga_s2am_ard_3-2-1_50KRB_2018-12-25_final
2019-01-04 11:43:27	ga_s2am_ard_3-2-1_50KRB_2019-01-04_final
2019-01-14 11:43:29	ga_s2am_ard_3-2-1_50KRB_2019-01-14_final
2019-01-24 11:43:30	ga_s2am_ard_3-2-1_50KRB_2019-01-24_final
2019-02-03 11:43:30	ga_s2am_ard_3-2-1_50KRB_2019-02-03_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-02-09_final.stac-item
2019-02-13 11:43:30	ga_s2am_ard_3-2-1_50KRB_2019-02-13_final
2019-02-19 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-02-19_final.stac-item
2019-02-23 11:43:29	ga_s2am_ard_3-2-1_50KRB_2019-02-23_final
2019-03-01 12:03:39	ga_s2am_ard_3-2-1_49KHS_2019-03-01_final.stac-item
2019-03-05 11:43:27	ga_s2am_ard_3-2-1_50KRB_2019-03-05_final
2019-03-11 12:03:40	ga_s2am_ard_3-2-1_49KHS_2019-03-11_final.stac-item
2019-03-15 11:43:29	ga_s2am_ard_3-2-1_50KRB_2019-03-15_final
2019-03-25 11:43:32	ga_s2am_ard_3-2-1_50KRB_2019-03-25_final
2019-03-31 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-03-31_final.stac-item
2019-04-04 11:43:34	ga_s2am_ard_3-2-1_50KRB_2019-04-04_final
2019-04-14 11:43:35	ga_s2am_ard_3-2-1_50KRB_2019-04-14_final
2019-04-24 11:43:36	ga_s2am_ard_3-2-1_50KRB_2019-04-24_final
2019-05-04 11:43:37	ga_s2am_ard_3-2-1_50KRB_2019-05-04_final
2019-05-14 11:43:37	ga_s2am_ard_3-2-1_50KRB_2019-05-14_final
2019-05-24 11:43:36	ga_s2am_ard_3-2-1_50KRB_2019-05-24_final
2019-06-03 11:43:35	ga_s2am_ard_3-2-1_50KRB_2019-06-03_final
2019-06-13 11:43:36	ga_s2am_ard_3-2-1_50KRB_2019-06-13_final
2019-06-23 11:43:37	ga_s2am_ard_3-2-1_50KRB_2019-06-23_final
2019-07-03 11:43:38	ga_s2am_ard_3-2-1_50KRB_2019-07-03_final
2019-07-13 11:43:38	ga_s2am_ard_3-2-1_50KRB_2019-07-13_final
2019-07-23 11:43:38	ga_s2am_ard_3-2-1_50KRB_2019-07-23_final
2019-08-02 11:43:37	ga_s2am_ard_3-2-1_50KRB_2019-08-02_final
2019-08-12 11:43:37	ga_s2am_ard_3-2-1_50KRB_2019-08-12_final
2019-08-22 11:43:35	ga_s2am_ard_3-2-1_50KRB_2019-08-22_final
2019-09-01 11:43:33	ga_s2am_ard_3-2-1_50KRB_2019-09-01_final
2019-09-07 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-09-07_final.stac-item
2019-09-11 11:43:31	ga_s2am_ard_3-2-1_50KRB_2019-09-11_final
2019-09-21 11:43:33	ga_s2am_ard_3-2-1_50KRB_2019-09-21_final
2019-09-27 12:03:45	ga_s2am_ard_3-2-1_49KHS_2019-09-27_final.stac-item
2019-10-01 11:43:35	ga_s2am_ard_3-2-1_50KRB_2019-10-01_final
2019-10-11 11:43:36	ga_s2am_ard_3-2-1_50KRB_2019-10-11_final
2019-10-17 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-10-17_final.stac-item
2019-10-21 11:43:36	ga_s2am_ard_3-2-1_50KRB_2019-10-21_final
2019-10-31 11:43:36	ga_s2am_ard_3-2-1_50KRB_2019-10-31_final
2019-11-10 11:43:35	ga_s2am_ard_3-2-1_50KRB_2019-11-10_final
2019-11-16 12:03:46	ga_s2am_ard_3-2-1_49KHS_2019-11-16_final.stac-item
2019-11-20 11:43:33	ga_s2am_ard_3-2-1_50KRB_2019-11-20_final
2019-11-20 11:43:39	ga_s2am_ard_3-2-1_50KRB_2019-11-20_final
2019-11-26 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-11-26_final.stac-item
2019-11-30 11:43:32	ga_s2am_ard_3-2-1_50KRB_2019-11-30_final
2019-12-16 12:03:39	ga_s2am_ard_3-2-1_49KHS_2019-12-16_final.stac-item
2020-01-05 12:03:39	ga_s2am_ard_3-2-1_49KHS_2020-01-05_final.stac-item
2020-04-14 12:03:44	ga_s2am_ard_3-2-1_49KHS_2020-04-14_final.stac-item
2021-09-20 11:43:35	ga_s2am_ard_3-2-1_50KRB_2021-09-20_final
2022-06-07 11:43:41	ga_s2am_ard_3-2-1_50KRB_2022-06-07_final
2022-06-17 11:43:44	ga_s2am_ard_3-2-1_50KRB_2022-06-17_final
2022-06-27 11:43:46	ga_s2am_ard_3-2-1_50KRB_2022-06-27_final
2022-07-07 11:43:46	ga_s2am_ard_3-2-1_50KRB_2022-07-07_final
2022-07-17 11:43:45	ga_s2am_ard_3-2-1_50KRB_2022-07-17_final
2022-07-27 11:43:43	ga_s2am_ard_3-2-1_50KRB_2022-07-27_final
2022-08-06 11:43:44	ga_s2am_ard_3-2-1_50KRB_2022-08-06_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