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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHP_2015-10-21_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KGQ_2016-07-14_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_49JHN_2016-07-24_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KGQ_2016-08-23_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JHN_2016-10-05_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JHM_2016-10-22_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49JGN_2016-12-01_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KHP_2016-12-01_final.stac-item
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-02-22_final.stac-item
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KHP_2017-04-03_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JHN_2017-04-20_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49KHP_2017-04-23_final.stac-item
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KHP_2017-06-02_final.stac-item
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_49KHP_2017-07-29_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGN_2017-11-26_final.stac-item
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JGN_2017-12-06_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JHN_2017-12-16_final.stac-item
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49JHN_2018-01-25_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-02-14_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-03-06_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGN_2018-05-05_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-07-24_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KHP_2018-08-13_final.stac-item
2018-11-21 12:04:21	ga_s2am_ard_3-2-1_49KHP_2018-11-21_final.stac-item
2018-11-21 12:04:35	ga_s2am_ard_3-2-1_49JHN_2018-11-21_final.stac-item
2018-12-01 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-12-01_final.stac-item
2018-12-04 12:14:23	ga_s2am_ard_3-2-1_49JHN_2018-12-04_final.stac-item
2018-12-21 12:04:48	ga_s2am_ard_3-2-1_49JHM_2018-12-21_final.stac-item
2018-12-31 12:04:50	ga_s2am_ard_3-2-1_49JHM_2018-12-31_final.stac-item
2019-01-10 12:04:38	ga_s2am_ard_3-2-1_49JHN_2019-01-10_final.stac-item
2019-02-09 12:04:25	ga_s2am_ard_3-2-1_49KHP_2019-02-09_final.stac-item
2019-06-29 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-06-29_final.stac-item
2019-07-19 12:05:02	ga_s2am_ard_3-2-1_49JHM_2019-07-19_final.stac-item
2019-07-29 12:04:33	ga_s2am_ard_3-2-1_49KHP_2019-07-29_final.stac-item
2019-10-07 12:04:48	ga_s2am_ard_3-2-1_49JGN_2019-10-07_final.stac-item
2019-10-27 12:04:46	ga_s2am_ard_3-2-1_49JHN_2019-10-27_final.stac-item
2019-11-09 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2019-11-09_final.stac-item
2019-11-26 12:04:28	ga_s2am_ard_3-2-1_49KHP_2019-11-26_final.stac-item
2019-12-16 12:04:22	ga_s2am_ard_3-2-1_49KHP_2019-12-16_final.stac-item
2020-01-18 12:14:15	ga_s2am_ard_3-2-1_49KHP_2020-01-18_final.stac-item
2020-01-25 12:04:21	ga_s2am_ard_3-2-1_49KHP_2020-01-25_final.stac-item
2020-01-25 12:04:39	ga_s2am_ard_3-2-1_49JGN_2020-01-25_final.stac-item
2020-02-14 12:04:18	ga_s2am_ard_3-2-1_49KHP_2020-02-14_final.stac-item
2020-02-14 12:04:36	ga_s2am_ard_3-2-1_49JHN_2020-02-14_final.stac-item
2020-02-14 12:04:39	ga_s2am_ard_3-2-1_49JGN_2020-02-14_final.stac-item
2020-02-24 12:04:23	ga_s2am_ard_3-2-1_49KHP_2020-02-24_final.stac-item
2020-02-24 12:04:37	ga_s2am_ard_3-2-1_49JHN_2020-02-24_final.stac-item
2020-02-24 12:04:51	ga_s2am_ard_3-2-1_49JHM_2020-02-24_final.stac-item
2020-03-25 12:04:39	ga_s2am_ard_3-2-1_49JHN_2020-03-25_final.stac-item
2020-03-25 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-25_final.stac-item
2020-03-28 12:14:17	ga_s2am_ard_3-2-1_49KHP_2020-03-28_final.stac-item
2020-04-17 12:14:21	ga_s2am_ard_3-2-1_49KHP_2020-04-17_final.stac-item
2020-04-24 12:04:44	ga_s2am_ard_3-2-1_49JHN_2020-04-24_final.stac-item
2020-05-04 12:04:31	ga_s2am_ard_3-2-1_49KHP_2020-05-04_final.stac-item
2020-05-04 12:05:00	ga_s2am_ard_3-2-1_49JHM_2020-05-04_final.stac-item
2020-06-03 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-06-03_final.stac-item
2020-07-23 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-07-23_final.stac-item
2020-08-05 12:14:15	ga_s2am_ard_3-2-1_49KHQ_2020-08-05_final.stac-item
2020-08-25 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-08-25_final.stac-item
2020-11-20 12:04:59	ga_s2am_ard_3-2-1_49JHM_2020-11-20_final.stac-item
2020-12-30 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-12-30_final.stac-item
2021-04-29 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2021-04-29_final.stac-item
2021-04-29 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2021-04-29_final.stac-item
2021-07-28 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2021-07-28_final.stac-item
2021-10-29 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2021-10-29_final.stac-item
2021-11-05 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2021-11-05_final.stac-item
2021-11-05 12:05:00	ga_s2am_ard_3-2-1_49JHM_2021-11-05_final.stac-item
2021-11-15 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-11-15_final.stac-item
2022-01-04 12:04:58	ga_s2am_ard_3-2-1_49JHM_2022-01-04_final.stac-item
2022-02-13 12:04:56	ga_s2am_ard_3-2-1_49JHM_2022-02-13_final.stac-item
2022-02-23 12:04:59	ga_s2am_ard_3-2-1_49JHM_2022-02-23_final.stac-item
2022-03-15 12:04:32	ga_s2am_ard_3-2-1_49KHP_2022-03-15_final.stac-item
2022-03-15 12:05:01	ga_s2am_ard_3-2-1_49JHM_2022-03-15_final.stac-item
2022-04-24 12:05:02	ga_s2am_ard_3-2-1_49JHM_2022-04-24_final.stac-item
2022-06-26 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2022-06-26_final.stac-item
2022-07-03 12:05:10	ga_s2am_ard_3-2-1_49JHM_2022-07-03_final.stac-item
2022-07-06 12:14:22	ga_s2am_ard_3-2-1_49KHQ_2022-07-06_final.stac-item
2022-07-13 12:04:39	ga_s2am_ard_3-2-1_49KHP_2022-07-13_final.stac-item
2022-07-16 12:14:33	ga_s2am_ard_3-2-1_49KHP_2022-07-16_final.stac-item
2022-08-05 12:14:20	ga_s2am_ard_3-2-1_49KHQ_2022-08-05_final.stac-item
2022-08-12 12:05:09	ga_s2am_ard_3-2-1_49JHM_2022-08-12_final.stac-item
2022-08-15 12:14:33	ga_s2am_ard_3-2-1_49KHP_2022-08-15_final.stac-item
2022-10-04 12:14:28	ga_s2am_ard_3-2-1_49KHP_2022-10-04_final.stac-item
2022-11-03 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2022-11-03_final.stac-item
2022-11-13 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2022-11-13_final.stac-item
2022-11-23 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2022-11-23_final.stac-item
2022-12-03 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2022-12-03_final.stac-item
2022-12-23 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2022-12-23_final.stac-item
2023-01-29 12:04:44	ga_s2am_ard_3-2-1_49JGN_2023-01-29_final.stac-item
2023-04-22 12:14:20	ga_s2am_ard_3-2-1_49KHP_2023-04-22_final
2023-05-09 12:04:30	ga_s2am_ard_3-2-1_49KHP_2023-05-09_final
2023-05-09 12:04:46	ga_s2am_ard_3-2-1_49JGN_2023-05-09_final
2023-05-09 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-05-09_final
2023-06-08 12:04:31	ga_s2am_ard_3-2-1_49KHP_2023-06-08_final
2023-06-28 12:04:52	ga_s2am_ard_3-2-1_49JHM_2023-06-28_final
2023-07-18 12:05:01	ga_s2am_ard_3-2-1_49JHM_2023-07-18_final
2023-08-17 12:04:34	ga_s2am_ard_3-2-1_49KHP_2023-08-17_final
2023-08-30 12:14:26	ga_s2am_ard_3-2-1_49KHP_2023-08-30_final
2023-10-26 12:04:28	ga_s2am_ard_3-2-1_49KHP_2023-10-26_final
2023-11-25 12:04:51	ga_s2am_ard_3-2-1_49JHM_2023-11-25_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