Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-01-06 11:52:38	ga_s2am_ard_3-2-1_50KPF_2021-01-06_final
2021-01-06 11:53:07	ga_s2am_ard_3-2-1_50KPD_2021-01-06_final
2021-01-10 11:37:16	ga_s2am_ard_3-2-1_51HTB_2021-01-10_final
2021-01-16 11:53:07	ga_s2am_ard_3-2-1_50KPD_2021-01-16_final
2021-01-17 11:27:15	ga_s2am_ard_3-2-1_51HTB_2021-01-17_final
2021-01-19 12:05:59	ga_s2am_ard_3-2-1_49JGH_2021-01-19_final
2021-01-26 11:52:38	ga_s2am_ard_3-2-1_50KPF_2021-01-26_final
2021-01-26 11:53:07	ga_s2am_ard_3-2-1_50KPD_2021-01-26_final
2021-02-05 11:52:37	ga_s2am_ard_3-2-1_50KPF_2021-02-05_final
2021-02-05 11:53:06	ga_s2am_ard_3-2-1_50KPD_2021-02-05_final
2021-02-08 12:05:57	ga_s2am_ard_3-2-1_49JGH_2021-02-08_final
2021-02-15 11:52:36	ga_s2am_ard_3-2-1_50KPF_2021-02-15_final
2021-03-08 11:27:14	ga_s2am_ard_3-2-1_51HTB_2021-03-08_final
2021-03-10 12:05:58	ga_s2am_ard_3-2-1_49JGH_2021-03-10_final
2021-03-11 11:37:10	ga_s2am_ard_3-2-1_51HTB_2021-03-11_final
2021-03-18 11:27:13	ga_s2am_ard_3-2-1_51HTB_2021-03-18_final
2021-03-27 11:52:35	ga_s2am_ard_3-2-1_50KPF_2021-03-27_final
2021-03-27 11:53:05	ga_s2am_ard_3-2-1_50KPD_2021-03-27_final
2021-03-28 11:27:12	ga_s2am_ard_3-2-1_51HTB_2021-03-28_final
2021-03-30 12:05:56	ga_s2am_ard_3-2-1_49JGH_2021-03-30_final
2021-03-31 11:37:13	ga_s2am_ard_3-2-1_51HTB_2021-03-31_final
2021-04-06 11:53:03	ga_s2am_ard_3-2-1_50KPD_2021-04-06_final
2021-04-09 12:05:54	ga_s2am_ard_3-2-1_49JGH_2021-04-09_final
2021-04-10 11:37:05	ga_s2am_ard_3-2-1_51HTB_2021-04-10_final
2021-04-16 11:52:31	ga_s2am_ard_3-2-1_50KPF_2021-04-16_final
2021-04-16 11:53:00	ga_s2am_ard_3-2-1_50KPD_2021-04-16_final
2021-04-17 11:27:08	ga_s2am_ard_3-2-1_51HTB_2021-04-17_final
2021-04-26 11:52:34	ga_s2am_ard_3-2-1_50KPF_2021-04-26_final
2021-04-26 11:53:03	ga_s2am_ard_3-2-1_50KPD_2021-04-26_final
2021-04-29 12:05:55	ga_s2am_ard_3-2-1_49JGH_2021-04-29_final
2021-05-09 12:05:57	ga_s2am_ard_3-2-1_49JGH_2021-05-09_final
2021-05-16 11:52:37	ga_s2am_ard_3-2-1_50KPF_2021-05-16_final
2021-05-16 11:53:06	ga_s2am_ard_3-2-1_50KPD_2021-05-16_final
2021-05-26 11:52:38	ga_s2am_ard_3-2-1_50KPF_2021-05-26_final
2021-05-30 11:37:16	ga_s2am_ard_3-2-1_51HTB_2021-05-30_final
2021-06-05 11:52:38	ga_s2am_ard_3-2-1_50KPF_2021-06-05_final
2021-06-06 11:27:15	ga_s2am_ard_3-2-1_51HTB_2021-06-06_final
2021-06-08 12:05:59	ga_s2am_ard_3-2-1_49JGH_2021-06-08_final
2021-06-15 11:53:07	ga_s2am_ard_3-2-1_50KPD_2021-06-15_final
2021-06-16 11:27:14	ga_s2am_ard_3-2-1_51HTB_2021-06-16_final
2021-06-18 12:05:58	ga_s2am_ard_3-2-1_49JGH_2021-06-18_final
2021-06-26 11:27:16	ga_s2am_ard_3-2-1_51HTB_2021-06-26_final
2021-06-29 11:37:17	ga_s2am_ard_3-2-1_51HTB_2021-06-29_final
2021-07-05 11:52:40	ga_s2am_ard_3-2-1_50KPF_2021-07-05_final
2021-07-06 11:27:17	ga_s2am_ard_3-2-1_51HTB_2021-07-06_final
2021-07-09 11:37:13	ga_s2am_ard_3-2-1_51HTB_2021-07-09_final
2021-07-15 11:53:10	ga_s2am_ard_3-2-1_50KPD_2021-07-15_final
2021-07-18 12:06:01	ga_s2am_ard_3-2-1_49JGH_2021-07-18_final
2021-07-25 11:52:41	ga_s2am_ard_3-2-1_50KPF_2021-07-25_final
2021-07-25 11:53:10	ga_s2am_ard_3-2-1_50KPD_2021-07-25_final
2021-08-04 11:52:40	ga_s2am_ard_3-2-1_50KPF_2021-08-04_final
2021-08-04 11:53:10	ga_s2am_ard_3-2-1_50KPD_2021-08-04_final
2021-08-07 12:06:01	ga_s2am_ard_3-2-1_49JGH_2021-08-07_final
2021-08-14 11:52:40	ga_s2am_ard_3-2-1_50KPF_2021-08-14_final
2021-08-14 11:53:09	ga_s2am_ard_3-2-1_50KPD_2021-08-14_final
2021-08-17 12:06:01	ga_s2am_ard_3-2-1_49JGH_2021-08-17_final
2021-08-24 11:52:39	ga_s2am_ard_3-2-1_50KPF_2021-08-24_final
2021-08-24 11:53:09	ga_s2am_ard_3-2-1_50KPD_2021-08-24_final
2021-09-03 11:52:38	ga_s2am_ard_3-2-1_50KPF_2021-09-03_final
2021-09-03 11:53:07	ga_s2am_ard_3-2-1_50KPD_2021-09-03_final
2021-09-06 12:05:59	ga_s2am_ard_3-2-1_49JGH_2021-09-06_final
2021-09-07 11:37:11	ga_s2am_ard_3-2-1_51HTB_2021-09-07_final
2021-09-07 11:37:17	ga_s2am_ard_3-2-1_51HTB_2021-09-07_final
2021-09-13 11:52:38	ga_s2am_ard_3-2-1_50KPF_2021-09-13_final
2021-09-13 11:53:07	ga_s2am_ard_3-2-1_50KPD_2021-09-13_final
2021-09-16 12:06:00	ga_s2am_ard_3-2-1_49JGH_2021-09-16_final
2021-09-17 11:37:17	ga_s2am_ard_3-2-1_51HTB_2021-09-17_final
2021-09-23 11:52:40	ga_s2am_ard_3-2-1_50KPF_2021-09-23_final
2021-09-23 11:53:10	ga_s2am_ard_3-2-1_50KPD_2021-09-23_final
2021-10-03 11:52:42	ga_s2am_ard_3-2-1_50KPF_2021-10-03_final
2021-10-03 11:53:11	ga_s2am_ard_3-2-1_50KPD_2021-10-03_final
2021-10-06 12:06:03	ga_s2am_ard_3-2-1_49JGH_2021-10-06_final
2021-10-16 12:06:04	ga_s2am_ard_3-2-1_49JGH_2021-10-16_final
2021-10-23 11:53:12	ga_s2am_ard_3-2-1_50KPD_2021-10-23_final
2021-10-26 12:06:03	ga_s2am_ard_3-2-1_49JGH_2021-10-26_final
2021-11-03 11:27:18	ga_s2am_ard_3-2-1_51HTB_2021-11-03_final
2021-11-06 11:37:19	ga_s2am_ard_3-2-1_51HTB_2021-11-06_final
2021-11-12 11:52:39	ga_s2am_ard_3-2-1_50KPF_2021-11-12_final
2021-11-13 11:27:16	ga_s2am_ard_3-2-1_51HTB_2021-11-13_final
2021-11-15 12:05:59	ga_s2am_ard_3-2-1_49JGH_2021-11-15_final
2021-11-16 11:37:16	ga_s2am_ard_3-2-1_51HTB_2021-11-16_final
2021-11-22 11:52:37	ga_s2am_ard_3-2-1_50KPF_2021-11-22_final
2021-11-22 11:53:07	ga_s2am_ard_3-2-1_50KPD_2021-11-22_final
2021-11-23 11:27:10	ga_s2am_ard_3-2-1_51HVB_2021-11-23_final
2021-11-25 12:05:58	ga_s2am_ard_3-2-1_49JGH_2021-11-25_final
2021-12-02 11:52:37	ga_s2am_ard_3-2-1_50KPF_2021-12-02_final
2021-12-02 11:53:06	ga_s2am_ard_3-2-1_50KPD_2021-12-02_final
2021-12-03 11:27:14	ga_s2am_ard_3-2-1_51HTB_2021-12-03_final
2021-12-06 11:37:15	ga_s2am_ard_3-2-1_51HTB_2021-12-06_final
2021-12-16 11:37:17	ga_s2am_ard_3-2-1_51HTB_2021-12-16_final
2021-12-23 11:27:15	ga_s2am_ard_3-2-1_51HTB_2021-12-23_final
2021-12-25 12:06:00	ga_s2am_ard_3-2-1_49JGH_2021-12-25_final
2021-12-26 11:37:17	ga_s2am_ard_3-2-1_51HTB_2021-12-26_final
2023-08-20 12:14:00	ga_s2am_ard_3-2-1_50KKA_2023-08-20_final
2023-08-20 12:14:47	ga_s2am_ard_3-2-1_49JGN_2023-08-20_final
2023-08-20 12:15:02	ga_s2am_ard_3-2-1_49JGM_2023-08-20_final
2023-08-30 12:10:33	ga_s2am_ard_3-2-1_50LNP_2023-08-30_nrt
2023-08-30 12:13:34	ga_s2am_ard_3-2-1_50KKC_2023-08-30_nrt
2023-08-30 12:13:36	ga_s2am_ard_3-2-1_49KGT_2023-08-30_nrt
2023-08-30 12:13:49	ga_s2am_ard_3-2-1_49KGS_2023-08-30_nrt

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years