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
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KHP_2016-08-03_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JHM_2016-08-13_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-10-22_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2016-10-25_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KHP_2016-11-24_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-12-11_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-12-14_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2016-12-24_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-01-03_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KHP_2017-04-20_final.stac-item
2017-08-11 12:14:43	ga_s2am_ard_3-2-1_49JGN_2017-08-11_final.stac-item
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2017-08-18_final.stac-item
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49KHP_2017-08-18_final.stac-item
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49KHP_2017-08-21_final.stac-item
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JHN_2017-08-28_final.stac-item
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KHP_2017-09-10_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2017-09-27_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGN_2017-10-07_final.stac-item
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JHM_2017-11-06_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2017-11-29_final.stac-item
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHP_2018-01-28_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-02-17_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-02-24_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-02-24_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGN_2018-05-05_final.stac-item
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KHP_2018-05-08_final.stac-item
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHQ_2018-05-18_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JHM_2018-06-24_final.stac-item
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-06-27_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-07-07_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KHQ_2018-07-27_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2018-08-03_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2018-08-16_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KHP_2018-08-26_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-10-22_final.stac-item
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-25_final.stac-item
2018-11-14 12:14:22	ga_s2am_ard_3-2-1_49KHP_2018-11-14_final.stac-item
2018-11-24 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2018-11-24_final.stac-item
2018-11-24 12:14:14	ga_s2am_ard_3-2-1_49KHP_2018-11-24_final.stac-item
2018-12-01 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-01_final.stac-item
2018-12-14 12:14:00	ga_s2am_ard_3-2-1_49KHQ_2018-12-14_final.stac-item
2019-02-19 12:04:42	ga_s2am_ard_3-2-1_49JGN_2019-02-19_final.stac-item
2019-03-01 12:04:52	ga_s2am_ard_3-2-1_49JHM_2019-03-01_final.stac-item
2019-03-11 12:04:41	ga_s2am_ard_3-2-1_49JGN_2019-03-11_final.stac-item
2019-04-30 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-04-30_final.stac-item
2019-05-10 12:04:50	ga_s2am_ard_3-2-1_49JGN_2019-05-10_final.stac-item
2019-05-30 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-05-30_final.stac-item
2019-05-30 12:04:59	ga_s2am_ard_3-2-1_49JHM_2019-05-30_final.stac-item
2019-07-09 12:05:02	ga_s2am_ard_3-2-1_49JHM_2019-07-09_final.stac-item
2019-08-01 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-08-01_final.stac-item
2019-08-21 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2019-08-21_final.stac-item
2019-08-21 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-08-21_final.stac-item
2019-08-28 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-08-28_final.stac-item
2019-10-07 12:04:48	ga_s2am_ard_3-2-1_49JGN_2019-10-07_final.stac-item
2019-10-17 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-10-17_final.stac-item
2019-10-20 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-10-20_final.stac-item
2019-10-27 12:05:12	ga_s2am_ard_3-2-1_49JFM_2019-10-27_final.stac-item
2019-10-30 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-10-30_final.stac-item
2019-11-16 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-11-16_final.stac-item
2019-12-26 12:04:51	ga_s2am_ard_3-2-1_49JHM_2019-12-26_final.stac-item
2020-01-25 12:04:39	ga_s2am_ard_3-2-1_49JGN_2020-01-25_final.stac-item
2020-02-04 12:04:38	ga_s2am_ard_3-2-1_49JGN_2020-02-04_final.stac-item
2020-02-14 12:04:39	ga_s2am_ard_3-2-1_49JGN_2020-02-14_final.stac-item
2020-02-17 12:14:15	ga_s2am_ard_3-2-1_49KHP_2020-02-17_final.stac-item
2020-02-24 12:04:41	ga_s2am_ard_3-2-1_49JGN_2020-02-24_final.stac-item
2020-02-27 12:14:16	ga_s2am_ard_3-2-1_49KHP_2020-02-27_final.stac-item
2020-03-05 12:04:52	ga_s2am_ard_3-2-1_49JHM_2020-03-05_final.stac-item
2020-03-25 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-25_final.stac-item
2020-07-06 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-07-06_final.stac-item
2020-10-24 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-10-24_final.stac-item
2021-01-02 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-01-02_final.stac-item
2021-07-01 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-07-01_final.stac-item
2021-08-20 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-08-20_final.stac-item
2021-10-29 12:14:26	ga_s2am_ard_3-2-1_49KHP_2021-10-29_final.stac-item
2022-03-08 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-03-08_final.stac-item
2022-03-18 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-03-18_final.stac-item
2022-05-04 12:05:09	ga_s2am_ard_3-2-1_49JHM_2022-05-04_final.stac-item
2022-05-14 12:04:37	ga_s2am_ard_3-2-1_49JHN_2022-05-14_final.stac-item
2022-08-25 12:14:33	ga_s2am_ard_3-2-1_49KHP_2022-08-25_final
2022-11-03 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-11-03_final.stac-item
2022-11-13 12:14:24	ga_s2am_ard_3-2-1_49KHP_2022-11-13_final.stac-item
2022-11-23 12:14:21	ga_s2am_ard_3-2-1_49KHP_2022-11-23_final.stac-item
2022-12-23 12:14:19	ga_s2am_ard_3-2-1_49KHP_2022-12-23_final.stac-item
2023-03-13 12:14:17	ga_s2am_ard_3-2-1_49KHP_2023-03-13_final
2023-05-09 12:04:23	ga_s2am_ard_3-2-1_49KHP_2023-05-09_final
2023-06-11 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-06-11_final
2023-06-21 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-06-21_final
2023-06-28 12:04:52	ga_s2am_ard_3-2-1_49JHN_2023-06-28_final
2023-07-21 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-07-21_final
2023-08-20 12:14:27	ga_s2am_ard_3-2-1_49KHP_2023-08-20_final
2023-10-29 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-10-29_final
2023-11-08 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-11-08_final
2023-12-08 12:14:15	ga_s2am_ard_3-2-1_49KHP_2023-12-08_final
2023-12-28 12:14:18	ga_s2am_ard_3-2-1_49KHP_2023-12-28_final
2024-01-14 12:04:39	ga_s2am_ard_3-2-1_49JGN_2024-01-14_final
2024-01-27 12:14:16	ga_s2am_ard_3-2-1_49KHP_2024-01-27_final
2024-02-06 12:14:17	ga_s2am_ard_3-2-1_49KHP_2024-02-06_final
2024-03-17 12:14:21	ga_s2am_ard_3-2-1_49KHP_2024-03-17_final
2024-04-16 12:14:23	ga_s2am_ard_3-2-1_49KHP_2024-04-16_final
2024-05-06 12:14:23	ga_s2am_ard_3-2-1_49KHP_2024-05-06_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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