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
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_49JGL_2015-12-27_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGM_2016-04-15_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGL_2016-06-27_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGN_2016-07-14_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGN_2016-08-23_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JHN_2016-08-23_final.stac-item
2016-09-02 12:03:47	ga_s2am_ard_3-2-1_49KHQ_2016-09-02_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHM_2016-09-12_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KGP_2016-11-11_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-11_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KHQ_2016-12-04_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KHR_2017-04-20_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGL_2017-04-23_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JHM_2017-05-20_final.stac-item
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGM_2017-05-23_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2017-09-27_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49KGP_2017-10-17_final.stac-item
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGL_2017-11-06_final.stac-item
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-11-06_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGL_2017-11-26_final.stac-item
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JHN_2017-12-06_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HLK_2018-02-11_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-02-27_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JHM_2018-03-16_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGK_2018-04-05_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JHM_2018-04-05_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JHN_2018-04-05_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HLH_2018-05-02_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HLJ_2018-05-02_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KHR_2018-05-05_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KGP_2018-05-15_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLH_2018-05-22_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KGP_2018-07-04_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-07-04_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2018-07-17_final.stac-item
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50HLK_2018-07-21_final.stac-item
2018-07-27 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-07-27_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KHR_2018-07-27_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-08-03_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KHP_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-08-13_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KGP_2018-09-05_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KGR_2018-09-05_final.stac-item
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HLJ_2018-09-09_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HLK_2018-09-19_final.stac-item
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JGL_2018-09-25_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-10-02_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KGQ_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
2018-11-08 11:56:36	ga_s2am_ard_3-2-1_50HLK_2018-11-08_final.stac-item
2018-11-11 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2018-11-11_final.stac-item
2019-05-23 12:14:30	ga_s2am_ard_3-2-1_49KGP_2019-05-23_final.stac-item
2019-06-19 12:04:46	ga_s2am_ard_3-2-1_49JHN_2019-06-19_final.stac-item
2019-06-19 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-06-19_final.stac-item
2019-07-12 12:14:46	ga_s2am_ard_3-2-1_49JGN_2019-07-12_final.stac-item
2019-08-21 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-08-21_final.stac-item
2019-09-07 12:04:45	ga_s2am_ard_3-2-1_49JGN_2019-09-07_final.stac-item
2019-10-07 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-10-07_final.stac-item
2019-10-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-10-20_final.stac-item
2019-12-06 12:04:58	ga_s2am_ard_3-2-1_49JGM_2019-12-06_final.stac-item
2019-12-06 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-12-06_final.stac-item
2019-12-26 12:04:55	ga_s2am_ard_3-2-1_49JGM_2019-12-26_final.stac-item
2020-01-12 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-01-12_final.stac-item
2020-03-15 12:04:53	ga_s2am_ard_3-2-1_49JHM_2020-03-15_final.stac-item
2020-05-04 12:05:12	ga_s2am_ard_3-2-1_49JFM_2020-05-04_final.stac-item
2020-05-14 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-05-14_final.stac-item
2020-06-03 12:05:07	ga_s2am_ard_3-2-1_49JGM_2020-06-03_final.stac-item
2020-06-26 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-06-26_final.stac-item
2020-07-06 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-07-06_final.stac-item
2020-07-23 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-07-23_final.stac-item
2020-11-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2020-11-30_final.stac-item
2020-12-27 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2020-12-27_final.stac-item
2021-01-02 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-02_final.stac-item
2021-01-09 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-01-09_final.stac-item
2021-01-26 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-01-26_final.stac-item
2021-01-26 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-26_final
2021-02-22 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-02-22_final.stac-item
2021-03-13 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-03-13_final.stac-item
2021-03-30 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2021-03-30_final.stac-item
2021-03-30 12:04:25	ga_s2am_ard_3-2-1_49KHP_2021-03-30_final.stac-item
2021-05-12 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-05-12_final.stac-item
2021-05-19 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-05-19_final.stac-item
2021-05-22 12:13:40	ga_s2am_ard_3-2-1_49KHS_2021-05-22_final
2021-05-23 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-05-23_final.stac-item
2021-06-05 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-06-05_final.stac-item
2021-06-11 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-06-11_final.stac-item
2021-06-21 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-06-21_final.stac-item
2021-06-28 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-06-28_final.stac-item
2021-06-28 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-06-28_final.stac-item
2021-07-01 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2021-07-01_final.stac-item
2021-07-01 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-07-01_final.stac-item
2021-07-05 11:57:12	ga_s2am_ard_3-2-1_50HLH_2021-07-05_final.stac-item
2021-07-18 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-18_final.stac-item
2021-07-25 11:57:15	ga_s2am_ard_3-2-1_50HMH_2021-07-25_final.stac-item
2021-08-01 11:47:13	ga_s2am_ard_3-2-1_50HMH_2021-08-01_final.stac-item
2021-08-20 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-08-20_final.stac-item
2021-08-31 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-08-31_final
2022-01-21 11:57:06	ga_s2am_ard_3-2-1_50HMH_2022-01-21_final.stac-item
2023-06-02 11:47:28	ga_s2am_ard_3-2-1_50HMG_2023-06-02_final
2023-07-12 11:47:29	ga_s2am_ard_3-2-1_50HMG_2023-07-12_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

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