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
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JGM_2016-03-16_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HLH_2016-10-26_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JHN_2016-11-01_final.stac-item
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HMJ_2017-03-25_final.stac-item
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49JGL_2017-04-23_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HMJ_2017-05-04_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JHM_2017-05-20_final.stac-item
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JHN_2017-05-20_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGM_2017-05-30_final.stac-item
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHQ_2017-07-12_final.stac-item
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49KGQ_2017-08-21_final.stac-item
2017-10-27 12:03:47	ga_s2am_ard_3-2-1_49KHR_2017-10-27_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGN_2017-11-29_final.stac-item
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGN_2018-01-08_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-02-27_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-03-06_final.stac-item
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KGP_2018-03-29_final.stac-item
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-04-18_final.stac-item
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HMH_2018-05-09_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGK_2018-05-15_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGM_2018-05-15_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HLK_2018-06-01_final.stac-item
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2018-06-14_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLJ_2018-06-21_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KGP_2018-07-17_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-24_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KGP_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
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HMJ_2018-07-28_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KGQ_2018-08-06_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHR_2018-08-06_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHP_2018-08-16_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HMJ_2018-08-20_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JHN_2018-09-02_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JFN_2018-09-05_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_49JHM_2018-10-02_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-10-22_final.stac-item
2018-11-14 12:14:25	ga_s2am_ard_3-2-1_49KGP_2018-11-14_final.stac-item
2018-11-14 12:14:36	ga_s2am_ard_3-2-1_49JGN_2018-11-14_final.stac-item
2018-11-21 12:05:08	ga_s2am_ard_3-2-1_49JGL_2018-11-21_final.stac-item
2018-12-11 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-11_final.stac-item
2018-12-18 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-12-18_final.stac-item
2018-12-31 12:03:53	ga_s2am_ard_3-2-1_49KHR_2018-12-31_final.stac-item
2018-12-31 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2018-12-31_final.stac-item
2019-01-14 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2019-01-14_final.stac-item
2019-01-14 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-01-14_final.stac-item
2019-04-23 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-04-23_final.stac-item
2019-05-23 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-05-23_final.stac-item
2019-05-24 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-05-24_final.stac-item
2019-06-19 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-06-19_final.stac-item
2019-06-29 12:04:50	ga_s2am_ard_3-2-1_49JGN_2019-06-29_final.stac-item
2019-07-09 12:05:02	ga_s2am_ard_3-2-1_49JHM_2019-07-09_final.stac-item
2019-07-12 12:14:46	ga_s2am_ard_3-2-1_49JGN_2019-07-12_final.stac-item
2019-08-28 12:04:58	ga_s2am_ard_3-2-1_49JHM_2019-08-28_final.stac-item
2019-09-27 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-09-27_final.stac-item
2019-10-07 12:04:48	ga_s2am_ard_3-2-1_49JGN_2019-10-07_final.stac-item
2019-10-07 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-10-07_final.stac-item
2019-10-14 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-10-14_final.stac-item
2019-10-20 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2019-10-20_final.stac-item
2019-10-24 11:56:43	ga_s2am_ard_3-2-1_50HLK_2019-10-24_final.stac-item
2020-01-08 12:13:53	ga_s2am_ard_3-2-1_49KGR_2020-01-08_final.stac-item
2020-01-08 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2020-01-08_final.stac-item
2020-03-22 11:56:36	ga_s2am_ard_3-2-1_50HLK_2020-03-22_final.stac-item
2020-03-22 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2020-03-22_final.stac-item
2020-04-27 12:13:57	ga_s2am_ard_3-2-1_49KHR_2020-04-27_final.stac-item
2020-04-27 12:15:02	ga_s2am_ard_3-2-1_49JFM_2020-04-27_final.stac-item
2020-06-13 12:05:07	ga_s2am_ard_3-2-1_49JGM_2020-06-13_final.stac-item
2020-06-26 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-06-26_final.stac-item
2020-10-14 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-10-14_final.stac-item
2020-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2020-12-20_final.stac-item
2021-01-16 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-16_final.stac-item
2021-02-01 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-02-01_final.stac-item
2021-02-02 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-02-02_final.stac-item
2021-02-02 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-02-02_final.stac-item
2021-02-05 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-02-05_final.stac-item
2021-02-08 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-02-08_final
2021-03-10 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-03-10_final.stac-item
2021-03-20 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-03-20_final.stac-item
2021-03-30 12:04:40	ga_s2am_ard_3-2-1_49JHN_2021-03-30_final.stac-item
2021-04-02 12:13:55	ga_s2am_ard_3-2-1_49KGR_2021-04-02_final.stac-item
2021-04-19 12:05:24	ga_s2am_ard_3-2-1_49JGK_2021-04-19_final.stac-item
2021-05-02 12:15:04	ga_s2am_ard_3-2-1_49JGL_2021-05-02_final.stac-item
2021-05-03 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-05-03_final.stac-item
2021-05-09 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-05-09_final.stac-item
2021-05-12 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-05-12_final.stac-item
2021-05-23 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-05-23_final.stac-item
2021-07-08 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-07-08_final.stac-item
2021-07-28 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2021-07-28_final.stac-item
2021-08-27 12:04:30	ga_s2am_ard_3-2-1_49KHP_2021-08-27_final.stac-item
2021-09-03 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-09-03_final.stac-item
2021-10-06 12:03:49	ga_s2am_ard_3-2-1_49KHS_2021-10-06_final
2022-03-12 11:57:22	ga_s2am_ard_3-2-1_50HLH_2022-03-12_final.stac-item
2022-03-28 12:14:29	ga_s2am_ard_3-2-1_49KGP_2022-03-28_final.stac-item
2022-10-31 12:04:50	ga_s2am_ard_3-2-1_49JGN_2022-10-31_final.stac-item
2023-01-16 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-01-16_final.stac-item
2023-02-08 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-02-08_final
2023-05-12 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-05-12_final
2023-06-28 12:04:32	ga_s2am_ard_3-2-1_49KHP_2023-06-28_final
2023-10-26 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-10-26_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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