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
2016-11-13 09:22:43	ga_s2am_ard_3-2-1_56JMN_2016-11-12_final.stac-item
2016-11-13 09:22:43	ga_s2am_ard_3-2-1_56JNN_2016-11-12_final.stac-item
2016-11-13 11:01:05	ga_s2am_ard_3-2-1_52JCN_2016-11-13_final.stac-item
2016-11-13 11:01:05	ga_s2am_ard_3-2-1_52JDN_2016-11-13_final.stac-item
2016-11-13 11:01:05	ga_s2am_ard_3-2-1_52JEN_2016-11-13_final.stac-item
2016-11-13 11:01:05	ga_s2am_ard_3-2-1_52JFN_2016-11-13_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51JXG_2016-11-16_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51JXH_2016-11-16_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51JYG_2016-11-16_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51JYH_2016-11-16_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_52JBM_2016-11-16_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_52JBN_2016-11-16_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_52JCN_2016-11-16_final.stac-item
2018-05-15 10:17:08	ga_s2am_ard_3-2-1_54JTM_2018-05-15_final.stac-item
2018-05-15 10:17:08	ga_s2am_ard_3-2-1_54JTN_2018-05-15_final.stac-item
2018-05-15 10:17:08	ga_s2am_ard_3-2-1_54JUN_2018-05-15_final.stac-item
2018-05-15 10:17:08	ga_s2am_ard_3-2-1_54JVN_2018-05-15_final.stac-item
2018-05-15 10:17:08	ga_s2am_ard_3-2-1_53JPG_2018-05-15_final.stac-item
2019-06-26 10:15:12	ga_s2am_ard_3-2-1_54JXN_2019-06-26_final.stac-item
2019-06-26 10:15:16	ga_s2am_ard_3-2-1_54JWN_2019-06-26_final.stac-item
2019-06-26 10:15:19	ga_s2am_ard_3-2-1_54JVN_2019-06-26_final.stac-item
2019-06-26 10:15:23	ga_s2am_ard_3-2-1_54JUN_2019-06-26_final.stac-item
2019-06-29 10:25:15	ga_s2am_ard_3-2-1_54JVN_2019-06-29_final.stac-item
2019-06-29 10:25:19	ga_s2am_ard_3-2-1_54JUN_2019-06-29_final.stac-item
2019-06-29 10:25:22	ga_s2am_ard_3-2-1_54JTN_2019-06-29_final.stac-item
2019-06-29 10:25:25	ga_s2am_ard_3-2-1_53JQH_2019-06-29_final.stac-item
2019-06-29 10:25:36	ga_s2am_ard_3-2-1_54JTM_2019-06-29_final.stac-item
2019-06-29 10:25:39	ga_s2am_ard_3-2-1_53JQG_2019-06-29_final.stac-item
2019-06-29 10:25:44	ga_s2am_ard_3-2-1_53JPG_2019-06-29_final.stac-item
2019-07-06 10:15:13	ga_s2am_ard_3-2-1_54JXN_2019-07-06_final.stac-item
2019-07-06 10:15:17	ga_s2am_ard_3-2-1_54JWN_2019-07-06_final.stac-item
2019-07-06 10:15:20	ga_s2am_ard_3-2-1_54JVN_2019-07-06_final.stac-item
2019-07-06 10:15:24	ga_s2am_ard_3-2-1_54JUN_2019-07-06_final.stac-item
2019-07-09 10:25:16	ga_s2am_ard_3-2-1_54JVN_2019-07-09_final.stac-item
2019-07-09 10:25:19	ga_s2am_ard_3-2-1_54JUN_2019-07-09_final.stac-item
2019-07-09 10:25:22	ga_s2am_ard_3-2-1_54JTN_2019-07-09_final.stac-item
2019-07-09 10:25:25	ga_s2am_ard_3-2-1_53JQH_2019-07-09_final.stac-item
2019-07-09 10:25:37	ga_s2am_ard_3-2-1_54JTM_2019-07-09_final.stac-item
2019-07-09 10:25:40	ga_s2am_ard_3-2-1_53JQG_2019-07-09_final.stac-item
2019-07-09 10:25:45	ga_s2am_ard_3-2-1_53JPG_2019-07-09_final.stac-item
2019-07-11 11:05:31	ga_s2am_ard_3-2-1_52JFN_2019-07-11_final.stac-item
2019-07-11 11:05:36	ga_s2am_ard_3-2-1_52JEN_2019-07-11_final.stac-item
2019-07-11 11:05:39	ga_s2am_ard_3-2-1_52JDN_2019-07-11_final.stac-item
2019-07-11 11:05:42	ga_s2am_ard_3-2-1_52JCN_2019-07-11_final.stac-item
2019-07-16 10:15:13	ga_s2am_ard_3-2-1_54JXN_2019-07-16_final.stac-item
2019-07-16 10:15:17	ga_s2am_ard_3-2-1_54JWN_2019-07-16_final.stac-item
2019-07-16 10:15:20	ga_s2am_ard_3-2-1_54JVN_2019-07-16_final.stac-item
2019-07-16 10:15:24	ga_s2am_ard_3-2-1_54JUN_2019-07-16_final.stac-item
2021-05-20 11:35:41	ga_s2am_ard_3-2-1_51JVH_2021-05-20_final.stac-item
2021-05-20 11:35:45	ga_s2am_ard_3-2-1_51JUH_2021-05-20_final.stac-item
2021-05-20 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-05-20_final.stac-item
2021-05-20 11:35:51	ga_s2am_ard_3-2-1_50JQN_2021-05-20_final.stac-item
2021-05-20 11:36:03	ga_s2am_ard_3-2-1_51JTG_2021-05-20_final.stac-item
2021-05-20 11:36:05	ga_s2am_ard_3-2-1_50JQM_2021-05-20_final.stac-item
2021-05-22 10:35:16	ga_s2am_ard_3-2-1_53JQH_2021-05-22_final.stac-item
2021-05-22 10:35:20	ga_s2am_ard_3-2-1_53JPH_2021-05-22_final.stac-item
2021-05-22 10:35:23	ga_s2am_ard_3-2-1_53JNH_2021-05-22_final.stac-item
2021-05-22 10:35:27	ga_s2am_ard_3-2-1_53JMH_2021-05-22_final.stac-item
2021-05-22 10:35:31	ga_s2am_ard_3-2-1_53JQG_2021-05-22_final.stac-item
2021-05-22 10:35:34	ga_s2am_ard_3-2-1_53JPG_2021-05-22_final.stac-item
2021-05-31 09:24:53	ga_s2am_ard_3-2-1_56JNN_2021-05-30_final.stac-item
2021-05-31 09:24:57	ga_s2am_ard_3-2-1_56JMN_2021-05-30_final.stac-item
2021-06-01 10:35:16	ga_s2am_ard_3-2-1_53JQH_2021-06-01_final.stac-item
2021-06-03 09:34:52	ga_s2am_ard_3-2-1_56JMN_2021-06-03_final.stac-item
2021-06-03 09:34:56	ga_s2am_ard_3-2-1_56JLN_2021-06-03_final.stac-item
2021-06-03 09:34:59	ga_s2am_ard_3-2-1_56JKN_2021-06-03_final.stac-item
2021-06-03 09:35:02	ga_s2am_ard_3-2-1_55JGH_2021-06-03_final.stac-item
2021-06-03 09:35:14	ga_s2am_ard_3-2-1_56JKM_2021-06-03_final.stac-item
2021-06-03 09:35:16	ga_s2am_ard_3-2-1_55JGG_2021-06-03_final.stac-item
2021-06-03 11:15:34	ga_s2am_ard_3-2-1_52JCN_2021-06-03_final.stac-item
2021-06-03 11:15:37	ga_s2am_ard_3-2-1_52JBN_2021-06-03_final.stac-item
2021-06-03 11:15:40	ga_s2am_ard_3-2-1_51JYH_2021-06-03_final.stac-item
2021-06-03 11:15:43	ga_s2am_ard_3-2-1_51JXH_2021-06-03_final.stac-item
2021-06-03 11:15:52	ga_s2am_ard_3-2-1_52JBM_2021-06-03_final.stac-item
2021-06-03 11:15:54	ga_s2am_ard_3-2-1_51JYG_2021-06-03_final.stac-item
2021-06-03 11:15:58	ga_s2am_ard_3-2-1_51JXG_2021-06-03_final.stac-item
2021-06-04 10:45:19	ga_s2am_ard_3-2-1_53JNH_2021-06-04_final.stac-item
2021-06-04 10:45:23	ga_s2am_ard_3-2-1_53JMH_2021-06-04_final.stac-item
2021-06-04 10:45:27	ga_s2am_ard_3-2-1_53JLH_2021-06-04_final.stac-item
2021-06-04 10:45:30	ga_s2am_ard_3-2-1_53JKH_2021-06-04_final.stac-item
2021-06-04 10:45:44	ga_s2am_ard_3-2-1_53JKG_2021-06-04_final.stac-item
2021-06-04 10:45:48	ga_s2am_ard_3-2-1_52JGM_2021-06-04_final.stac-item
2021-06-06 09:44:55	ga_s2am_ard_3-2-1_56JKN_2021-06-06_final.stac-item
2021-06-06 09:44:58	ga_s2am_ard_3-2-1_55JGH_2021-06-06_final.stac-item
2021-06-06 09:45:01	ga_s2am_ard_3-2-1_55JFH_2021-06-06_final.stac-item
2021-06-06 09:45:05	ga_s2am_ard_3-2-1_55JEH_2021-06-06_final.stac-item
2021-06-06 09:45:09	ga_s2am_ard_3-2-1_56JKM_2021-06-06_final.stac-item
2021-06-06 09:45:12	ga_s2am_ard_3-2-1_55JGG_2021-06-06_final.stac-item
2021-06-06 09:45:16	ga_s2am_ard_3-2-1_55JFG_2021-06-06_final.stac-item
2021-06-06 11:25:35	ga_s2am_ard_3-2-1_51JYH_2021-06-06_final.stac-item
2021-06-06 11:25:39	ga_s2am_ard_3-2-1_51JXH_2021-06-06_final.stac-item
2021-06-06 11:25:43	ga_s2am_ard_3-2-1_51JWH_2021-06-06_final.stac-item
2021-06-06 11:25:46	ga_s2am_ard_3-2-1_51JYG_2021-06-06_final.stac-item
2021-06-06 11:25:46	ga_s2am_ard_3-2-1_51JVH_2021-06-06_final.stac-item
2021-06-06 11:25:53	ga_s2am_ard_3-2-1_51JXG_2021-06-06_final.stac-item
2021-06-09 11:35:42	ga_s2am_ard_3-2-1_51JVH_2021-06-09_final.stac-item
2021-06-09 11:35:45	ga_s2am_ard_3-2-1_51JUH_2021-06-09_final.stac-item
2021-06-09 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-06-09_final.stac-item
2021-06-09 11:35:51	ga_s2am_ard_3-2-1_50JQN_2021-06-09_final.stac-item
2021-06-09 11:36:03	ga_s2am_ard_3-2-1_51JTG_2021-06-09_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