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
2019-06-28 10:55:09	ga_s2am_ard_3-2-1_53JLJ_2019-06-28_final.stac-item
2019-06-28 10:55:14	ga_s2am_ard_3-2-1_53JKJ_2019-06-28_final.stac-item
2019-06-28 10:55:18	ga_s2am_ard_3-2-1_52JGP_2019-06-28_final.stac-item
2019-06-28 10:55:20	ga_s2am_ard_3-2-1_53JLH_2019-06-28_final.stac-item
2019-06-28 10:55:21	ga_s2am_ard_3-2-1_52JFP_2019-06-28_final.stac-item
2019-06-28 10:55:27	ga_s2am_ard_3-2-1_52JEP_2019-06-28_final.stac-item
2019-06-28 10:55:29	ga_s2am_ard_3-2-1_53JKH_2019-06-28_final.stac-item
2019-06-28 10:55:32	ga_s2am_ard_3-2-1_52JGN_2019-06-28_final.stac-item
2019-06-28 10:55:36	ga_s2am_ard_3-2-1_52JFN_2019-06-28_final.stac-item
2019-06-28 10:55:39	ga_s2am_ard_3-2-1_52JEN_2019-06-28_final.stac-item
2019-07-08 10:55:10	ga_s2am_ard_3-2-1_53JLJ_2019-07-08_final.stac-item
2019-07-08 10:55:15	ga_s2am_ard_3-2-1_53JKJ_2019-07-08_final.stac-item
2019-07-08 10:55:18	ga_s2am_ard_3-2-1_52JGP_2019-07-08_final.stac-item
2019-07-08 10:55:20	ga_s2am_ard_3-2-1_53JLH_2019-07-08_final.stac-item
2019-07-08 10:55:22	ga_s2am_ard_3-2-1_52JFP_2019-07-08_final.stac-item
2019-07-08 10:55:27	ga_s2am_ard_3-2-1_52JEP_2019-07-08_final.stac-item
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
2020-02-10 10:45:06	ga_s2am_ard_3-2-1_53JKJ_2020-02-10_final.stac-item
2020-02-10 10:45:18	ga_s2am_ard_3-2-1_53JLH_2020-02-10_final.stac-item
2020-02-10 10:45:21	ga_s2am_ard_3-2-1_53JKH_2020-02-10_final.stac-item
2020-09-19 09:44:44	ga_s2am_ard_3-2-1_56JKP_2020-09-19_final.stac-item
2020-09-19 09:44:47	ga_s2am_ard_3-2-1_55JGJ_2020-09-19_final.stac-item
2020-09-19 09:44:51	ga_s2am_ard_3-2-1_55JFJ_2020-09-19_final.stac-item
2020-09-19 09:44:54	ga_s2am_ard_3-2-1_55JEJ_2020-09-19_final.stac-item
2020-09-19 09:44:59	ga_s2am_ard_3-2-1_56JKN_2020-09-19_final.stac-item
2020-09-19 09:45:02	ga_s2am_ard_3-2-1_55JGH_2020-09-19_final.stac-item
2020-09-19 09:45:05	ga_s2am_ard_3-2-1_55JFH_2020-09-19_final.stac-item
2020-09-19 09:45:09	ga_s2am_ard_3-2-1_55JEH_2020-09-19_final.stac-item
2020-09-28 11:55:40	ga_s2am_ard_3-2-1_50JNP_2020-09-28_final.stac-item
2020-09-28 11:55:44	ga_s2am_ard_3-2-1_50JMP_2020-09-28_final.stac-item
2020-09-28 11:55:47	ga_s2am_ard_3-2-1_50JLP_2020-09-28_final.stac-item
2020-09-28 11:55:52	ga_s2am_ard_3-2-1_50JKP_2020-09-28_final.stac-item
2020-09-28 11:56:02	ga_s2am_ard_3-2-1_50JLN_2020-09-28_final.stac-item
2020-09-28 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-09-28_final.stac-item
2021-02-15 10:14:46	ga_s2am_ard_3-2-1_54JYP_2021-02-15_final.stac-item
2021-02-15 10:14:52	ga_s2am_ard_3-2-1_54JXP_2021-02-15_final.stac-item
2021-02-15 10:14:56	ga_s2am_ard_3-2-1_54JWP_2021-02-15_final.stac-item
2021-02-15 10:14:56	ga_s2am_ard_3-2-1_54JYN_2021-02-15_final.stac-item
2021-02-15 10:14:59	ga_s2am_ard_3-2-1_54JVP_2021-02-15_final.stac-item
2021-02-15 10:15:06	ga_s2am_ard_3-2-1_54JUP_2021-02-15_final.stac-item
2021-02-15 10:15:07	ga_s2am_ard_3-2-1_54JXN_2021-02-15_final.stac-item
2021-02-15 10:15:11	ga_s2am_ard_3-2-1_54JWN_2021-02-15_final.stac-item
2021-02-17 10:55:16	ga_s2am_ard_3-2-1_52JFP_2021-02-17_final.stac-item
2021-02-17 10:55:21	ga_s2am_ard_3-2-1_52JEP_2021-02-17_final.stac-item
2021-02-17 10:55:24	ga_s2am_ard_3-2-1_53JKH_2021-02-17_final.stac-item
2021-02-17 10:55:27	ga_s2am_ard_3-2-1_52JGN_2021-02-17_final.stac-item
2021-02-17 10:55:30	ga_s2am_ard_3-2-1_52JFN_2021-02-17_final.stac-item
2021-02-17 10:55:34	ga_s2am_ard_3-2-1_52JEN_2021-02-17_final.stac-item
2021-02-20 11:05:22	ga_s2am_ard_3-2-1_52JCP_2021-02-20_final.stac-item
2021-02-20 11:05:26	ga_s2am_ard_3-2-1_52JFN_2021-02-20_final.stac-item
2021-02-20 11:05:30	ga_s2am_ard_3-2-1_52JEN_2021-02-20_final.stac-item
2021-02-20 11:05:37	ga_s2am_ard_3-2-1_52JCN_2021-02-20_final.stac-item
2021-02-27 10:55:22	ga_s2am_ard_3-2-1_52JEP_2021-02-27_final.stac-item
2021-02-27 10:55:24	ga_s2am_ard_3-2-1_53JKH_2021-02-27_final.stac-item
2021-02-27 10:55:27	ga_s2am_ard_3-2-1_52JGN_2021-02-27_final.stac-item
2021-02-27 10:55:31	ga_s2am_ard_3-2-1_52JFN_2021-02-27_final.stac-item
2021-02-27 10:55:34	ga_s2am_ard_3-2-1_52JEN_2021-02-27_final.stac-item
2021-03-02 11:05:22	ga_s2am_ard_3-2-1_52JCP_2021-03-02_final.stac-item
2021-03-02 11:05:26	ga_s2am_ard_3-2-1_52JFN_2021-03-02_final.stac-item
2021-03-02 11:05:30	ga_s2am_ard_3-2-1_52JEN_2021-03-02_final.stac-item
2021-03-02 11:05:37	ga_s2am_ard_3-2-1_52JCN_2021-03-02_final.stac-item
2021-03-09 10:55:31	ga_s2am_ard_3-2-1_52JFN_2021-03-09_final.stac-item
2021-03-09 10:55:34	ga_s2am_ard_3-2-1_52JEN_2021-03-09_final.stac-item
2022-07-11 09:44:52	ga_s2am_ard_3-2-1_56JKP_2022-07-11_final.stac-item
2022-07-11 09:44:55	ga_s2am_ard_3-2-1_55JGJ_2022-07-11_final.stac-item
2022-07-11 09:44:59	ga_s2am_ard_3-2-1_55JFJ_2022-07-11_final.stac-item
2022-07-11 09:45:02	ga_s2am_ard_3-2-1_55JEJ_2022-07-11_final.stac-item
2022-07-11 09:45:07	ga_s2am_ard_3-2-1_56JKN_2022-07-11_final.stac-item
2022-07-11 09:45:10	ga_s2am_ard_3-2-1_55JGH_2022-07-11_final.stac-item
2022-07-11 09:45:13	ga_s2am_ard_3-2-1_55JFH_2022-07-11_final.stac-item
2022-07-11 09:45:17	ga_s2am_ard_3-2-1_55JEH_2022-07-11_final.stac-item
2022-07-11 11:25:51	ga_s2am_ard_3-2-1_51JXH_2022-07-11_final.stac-item
2022-07-11 11:25:55	ga_s2am_ard_3-2-1_51JWH_2022-07-11_final.stac-item
2022-07-21 09:44:51	ga_s2am_ard_3-2-1_56JKP_2022-07-21_final.stac-item
2022-07-21 09:44:54	ga_s2am_ard_3-2-1_55JGJ_2022-07-21_final.stac-item
2022-07-21 09:44:57	ga_s2am_ard_3-2-1_55JFJ_2022-07-21_final.stac-item
2022-07-21 09:45:01	ga_s2am_ard_3-2-1_55JEJ_2022-07-21_final.stac-item
2022-07-21 09:45:05	ga_s2am_ard_3-2-1_56JKN_2022-07-21_final.stac-item
2022-07-21 09:45:08	ga_s2am_ard_3-2-1_55JGH_2022-07-21_final.stac-item
2022-07-21 09:45:12	ga_s2am_ard_3-2-1_55JFH_2022-07-21_final.stac-item
2022-07-21 09:45:15	ga_s2am_ard_3-2-1_55JEH_2022-07-21_final.stac-item
2022-07-23 12:05:48	ga_s2am_ard_3-2-1_50JLP_2022-07-23_final.stac-item
2022-07-23 12:05:52	ga_s2am_ard_3-2-1_50JKP_2022-07-23_final.stac-item
2022-07-23 12:05:55	ga_s2am_ard_3-2-1_49JGJ_2022-07-23_final.stac-item
2022-07-23 12:06:02	ga_s2am_ard_3-2-1_50JLN_2022-07-23_final.stac-item
2022-07-23 12:06:06	ga_s2am_ard_3-2-1_50JKN_2022-07-23_final.stac-item
2022-07-23 12:06:09	ga_s2am_ard_3-2-1_49JGH_2022-07-23_final
2022-07-25 09:24:52	ga_s2am_ard_3-2-1_56JMP_2022-07-24_final.stac-item
2022-07-25 09:25:03	ga_s2am_ard_3-2-1_56JNN_2022-07-24_final.stac-item
2023-09-10 10:04:53	ga_s2am_ard_3-2-1_55JCJ_2023-09-10_final
2023-09-10 10:04:56	ga_s2am_ard_3-2-1_55JBJ_2023-09-10_final
2023-09-10 10:04:59	ga_s2am_ard_3-2-1_54JYP_2023-09-10_final
2023-09-10 10:05:02	ga_s2am_ard_3-2-1_54JXP_2023-09-10_final
2023-09-10 10:05:07	ga_s2am_ard_3-2-1_55JCH_2023-09-10_final
2023-09-10 10:05:10	ga_s2am_ard_3-2-1_55JBH_2023-09-10_final
2023-09-10 10:05:11	ga_s2am_ard_3-2-1_54JYN_2023-09-10_final
2023-09-11 09:35:03	ga_s2am_ard_3-2-1_56JKN_2023-09-11_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years