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
2019-07-08 10:55:29	ga_s2am_ard_3-2-1_53JKH_2019-07-08_final.stac-item
2019-07-08 10:55:33	ga_s2am_ard_3-2-1_52JGN_2019-07-08_final.stac-item
2019-07-08 10:55:36	ga_s2am_ard_3-2-1_52JFN_2019-07-08_final.stac-item
2019-07-08 10:55:40	ga_s2am_ard_3-2-1_52JEN_2019-07-08_final.stac-item
2019-07-08 10:55:44	ga_s2am_ard_3-2-1_53JKG_2019-07-08_final.stac-item
2019-07-08 10:55:47	ga_s2am_ard_3-2-1_52JGM_2019-07-08_final.stac-item
2020-10-15 10:05:08	ga_s2am_ard_3-2-1_55JCH_2020-10-15_final.stac-item
2020-10-15 10:05:11	ga_s2am_ard_3-2-1_55JBH_2020-10-15_final.stac-item
2020-10-15 10:05:14	ga_s2am_ard_3-2-1_54JYN_2020-10-15_final.stac-item
2020-10-15 10:05:18	ga_s2am_ard_3-2-1_54JXN_2020-10-15_final.stac-item
2020-10-15 10:05:26	ga_s2am_ard_3-2-1_55JBG_2020-10-15_final.stac-item
2020-10-15 10:05:29	ga_s2am_ard_3-2-1_54JYM_2020-10-15_final.stac-item
2020-10-15 11:45:49	ga_s2am_ard_3-2-1_51JTH_2020-10-15_final.stac-item
2020-10-15 11:45:52	ga_s2am_ard_3-2-1_50JQN_2020-10-15_final.stac-item
2020-10-15 11:45:56	ga_s2am_ard_3-2-1_50JPN_2020-10-15_final.stac-item
2020-10-15 11:46:00	ga_s2am_ard_3-2-1_50JNN_2020-10-15_final.stac-item
2020-10-15 11:46:02	ga_s2am_ard_3-2-1_51JTG_2020-10-15_final.stac-item
2020-10-15 11:46:06	ga_s2am_ard_3-2-1_50JQM_2020-10-15_final.stac-item
2020-10-22 11:35:46	ga_s2am_ard_3-2-1_51JVH_2020-10-22_final.stac-item
2020-10-22 11:35:50	ga_s2am_ard_3-2-1_51JUH_2020-10-22_final.stac-item
2020-10-22 11:35:53	ga_s2am_ard_3-2-1_51JTH_2020-10-22_final.stac-item
2020-10-22 11:35:56	ga_s2am_ard_3-2-1_50JQN_2020-10-22_final.stac-item
2020-10-22 11:36:08	ga_s2am_ard_3-2-1_51JTG_2020-10-22_final.stac-item
2020-10-22 11:36:10	ga_s2am_ard_3-2-1_50JQM_2020-10-22_final.stac-item
2020-10-25 10:05:17	ga_s2am_ard_3-2-1_54JXN_2020-10-25_final.stac-item
2020-10-28 11:55:55	ga_s2am_ard_3-2-1_50JNN_2020-10-28_final.stac-item
2020-10-28 11:55:58	ga_s2am_ard_3-2-1_50JMN_2020-10-28_final.stac-item
2020-10-28 11:56:01	ga_s2am_ard_3-2-1_50JLN_2020-10-28_final.stac-item
2020-11-01 11:35:46	ga_s2am_ard_3-2-1_51JVH_2020-11-01_final.stac-item
2020-11-01 11:35:50	ga_s2am_ard_3-2-1_51JUH_2020-11-01_final.stac-item
2020-11-01 11:35:53	ga_s2am_ard_3-2-1_51JTH_2020-11-01_final.stac-item
2020-11-01 11:35:55	ga_s2am_ard_3-2-1_50JQN_2020-11-01_final.stac-item
2020-11-01 11:36:07	ga_s2am_ard_3-2-1_51JTG_2020-11-01_final.stac-item
2020-11-01 11:36:10	ga_s2am_ard_3-2-1_50JQM_2020-11-01_final.stac-item
2020-11-07 10:15:12	ga_s2am_ard_3-2-1_54JXN_2020-11-07_final.stac-item
2020-11-07 10:15:16	ga_s2am_ard_3-2-1_54JWN_2020-11-07_final.stac-item
2020-11-07 10:15:19	ga_s2am_ard_3-2-1_54JVN_2020-11-07_final.stac-item
2020-11-07 10:15:23	ga_s2am_ard_3-2-1_54JUN_2020-11-07_final.stac-item
2021-02-13 09:34:50	ga_s2am_ard_3-2-1_56JMN_2021-02-13_final.stac-item
2021-02-13 09:34:54	ga_s2am_ard_3-2-1_56JLN_2021-02-13_final.stac-item
2021-02-13 09:34:57	ga_s2am_ard_3-2-1_56JKN_2021-02-13_final.stac-item
2021-02-13 09:35:00	ga_s2am_ard_3-2-1_55JGH_2021-02-13_final.stac-item
2021-02-13 09:35:11	ga_s2am_ard_3-2-1_56JKM_2021-02-13_final.stac-item
2021-02-13 09:35:14	ga_s2am_ard_3-2-1_55JGG_2021-02-13_final.stac-item
2021-02-23 09:34:51	ga_s2am_ard_3-2-1_56JMN_2021-02-23_final.stac-item
2021-02-23 09:34:55	ga_s2am_ard_3-2-1_56JLN_2021-02-23_final.stac-item
2021-02-23 09:34:58	ga_s2am_ard_3-2-1_56JKN_2021-02-23_final.stac-item
2021-02-23 09:35:01	ga_s2am_ard_3-2-1_55JGH_2021-02-23_final.stac-item
2021-02-23 09:35:12	ga_s2am_ard_3-2-1_56JKM_2021-02-23_final.stac-item
2021-02-23 09:35:15	ga_s2am_ard_3-2-1_55JGG_2021-02-23_final.stac-item
2021-02-26 09:44:54	ga_s2am_ard_3-2-1_56JKN_2021-02-26_final.stac-item
2021-02-26 09:44:57	ga_s2am_ard_3-2-1_55JGH_2021-02-26_final.stac-item
2021-02-26 09:45:00	ga_s2am_ard_3-2-1_55JFH_2021-02-26_final.stac-item
2021-02-26 09:45:04	ga_s2am_ard_3-2-1_55JEH_2021-02-26_final.stac-item
2021-02-26 09:45:08	ga_s2am_ard_3-2-1_56JKM_2021-02-26_final.stac-item
2021-02-26 09:45:11	ga_s2am_ard_3-2-1_55JGG_2021-02-26_final.stac-item
2021-02-28 12:05:51	ga_s2am_ard_3-2-1_50JLN_2021-02-28_final.stac-item
2021-02-28 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-02-28_final.stac-item
2021-02-28 12:05:58	ga_s2am_ard_3-2-1_49JGH_2021-02-28_final
2021-02-28 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-02-28_final.stac-item
2021-03-01 09:54:59	ga_s2am_ard_3-2-1_55JEH_2021-03-01_final.stac-item
2021-03-01 09:55:03	ga_s2am_ard_3-2-1_55JDH_2021-03-01_final.stac-item
2021-03-01 09:55:07	ga_s2am_ard_3-2-1_55JCH_2021-03-01_final.stac-item
2021-03-01 09:55:11	ga_s2am_ard_3-2-1_55JBH_2021-03-01_final.stac-item
2021-03-10 12:05:51	ga_s2am_ard_3-2-1_50JLN_2021-03-10_final.stac-item
2021-03-10 12:05:55	ga_s2am_ard_3-2-1_50JKN_2021-03-10_final.stac-item
2021-03-10 12:05:58	ga_s2am_ard_3-2-1_49JGH_2021-03-10_final
2021-03-10 12:06:09	ga_s2am_ard_3-2-1_50JKM_2021-03-10_final.stac-item
2021-03-11 09:54:59	ga_s2am_ard_3-2-1_55JEH_2021-03-11_final.stac-item
2021-03-11 09:55:03	ga_s2am_ard_3-2-1_55JDH_2021-03-11_final.stac-item
2021-03-11 09:55:06	ga_s2am_ard_3-2-1_55JCH_2021-03-11_final.stac-item
2021-03-11 09:55:11	ga_s2am_ard_3-2-1_55JBH_2021-03-11_final.stac-item
2022-05-04 10:25:16	ga_s2am_ard_3-2-1_54JVN_2022-05-04_final.stac-item
2022-05-04 10:25:19	ga_s2am_ard_3-2-1_54JUN_2022-05-04_final.stac-item
2022-05-04 10:25:22	ga_s2am_ard_3-2-1_54JTN_2022-05-04_final.stac-item
2022-05-04 10:25:25	ga_s2am_ard_3-2-1_53JQH_2022-05-04_final.stac-item
2022-05-04 10:25:37	ga_s2am_ard_3-2-1_54JTM_2022-05-04_final.stac-item
2022-05-04 10:25:39	ga_s2am_ard_3-2-1_53JQG_2022-05-04_final.stac-item
2022-05-05 11:35:46	ga_s2am_ard_3-2-1_51JVH_2022-05-05_final.stac-item
2022-05-05 11:35:49	ga_s2am_ard_3-2-1_51JUH_2022-05-05_final.stac-item
2022-05-05 11:35:53	ga_s2am_ard_3-2-1_51JTH_2022-05-05_final.stac-item
2022-05-05 11:35:55	ga_s2am_ard_3-2-1_50JQN_2022-05-05_final.stac-item
2022-05-08 11:45:48	ga_s2am_ard_3-2-1_51JTH_2022-05-08_final.stac-item
2022-05-08 11:45:51	ga_s2am_ard_3-2-1_50JQN_2022-05-08_final.stac-item
2022-05-08 11:45:54	ga_s2am_ard_3-2-1_50JPN_2022-05-08_final.stac-item
2022-05-08 11:45:58	ga_s2am_ard_3-2-1_50JNN_2022-05-08_final.stac-item
2022-05-08 11:46:01	ga_s2am_ard_3-2-1_51JTG_2022-05-08_final.stac-item
2022-05-08 11:46:05	ga_s2am_ard_3-2-1_50JQM_2022-05-08_final.stac-item
2022-05-14 10:25:38	ga_s2am_ard_3-2-1_53JQG_2022-05-14_final.stac-item
2022-05-15 11:35:45	ga_s2am_ard_3-2-1_51JVH_2022-05-15_final.stac-item
2022-05-15 11:35:49	ga_s2am_ard_3-2-1_51JUH_2022-05-15_final.stac-item
2022-05-15 11:35:52	ga_s2am_ard_3-2-1_51JTH_2022-05-15_final.stac-item
2022-05-15 11:35:55	ga_s2am_ard_3-2-1_50JQN_2022-05-15_final.stac-item
2022-05-15 11:36:07	ga_s2am_ard_3-2-1_51JTG_2022-05-15_final.stac-item
2022-05-15 11:36:09	ga_s2am_ard_3-2-1_50JQM_2022-05-15_final.stac-item
2022-05-18 11:45:49	ga_s2am_ard_3-2-1_51JTH_2022-05-18_final.stac-item
2022-05-18 11:45:52	ga_s2am_ard_3-2-1_50JQN_2022-05-18_final.stac-item
2022-05-18 11:45:56	ga_s2am_ard_3-2-1_50JPN_2022-05-18_final.stac-item
2022-05-18 11:45:59	ga_s2am_ard_3-2-1_50JNN_2022-05-18_final.stac-item
2022-05-18 11:46:02	ga_s2am_ard_3-2-1_51JTG_2022-05-18_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years