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
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGL_2016-01-16_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HNK_2016-04-19_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49KHQ_2016-05-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HMK_2016-05-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JHN_2016-10-22_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-10-25_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMJ_2016-11-05_final.stac-item
2016-12-18 11:56:02	ga_s2am_ard_3-2-1_50HMJ_2016-12-18_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HNG_2016-12-22_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMJ_2017-02-03_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGL_2017-06-19_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49JGL_2017-06-22_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGL_2017-07-09_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGN_2017-07-09_final.stac-item
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGL_2017-09-17_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2017-12-19_final.stac-item
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JFM_2017-12-29_final.stac-item
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50HMJ_2018-01-02_final.stac-item
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HMH_2018-03-03_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-03-06_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-03-06_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2018-03-09_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGR_2018-03-09_final.stac-item
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMJ_2018-03-13_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-03-26_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-03-26_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNH_2018-03-30_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMJ_2018-04-02_final.stac-item
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HMK_2018-04-19_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HLH_2018-04-29_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMH_2018-04-29_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLJ_2018-05-22_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HNK_2018-05-29_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHR_2018-06-04_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JHM_2018-06-24_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHP_2018-06-24_final.stac-item
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-06-27_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMJ_2018-07-18_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-08-03_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHQ_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
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HNK_2018-08-17_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGP_2018-08-23_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JFM_2018-10-15_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLJ_2018-10-19_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNK_2018-11-05_final.stac-item
2018-11-11 12:03:54	ga_s2am_ard_3-2-1_49KHR_2018-11-11_final.stac-item
2018-11-18 11:56:24	ga_s2am_ard_3-2-1_50HNK_2018-11-18_final.stac-item
2018-11-28 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-11-28_final.stac-item
2018-12-18 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-12-18_final.stac-item
2018-12-21 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-12-21_final.stac-item
2018-12-21 12:04:23	ga_s2am_ard_3-2-1_49KGP_2018-12-21_final.stac-item
2018-12-31 12:04:54	ga_s2am_ard_3-2-1_49JGM_2018-12-31_final.stac-item
2019-01-20 12:03:55	ga_s2am_ard_3-2-1_49KHR_2019-01-20_final.stac-item
2019-02-06 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-02-06_final.stac-item
2019-02-13 11:47:03	ga_s2am_ard_3-2-1_50HMH_2019-02-13_final.stac-item
2019-02-23 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-02-23_final.stac-item
2019-12-19 12:15:04	ga_s2am_ard_3-2-1_49JGL_2019-12-19_final.stac-item
2020-01-12 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-01-12_final.stac-item
2020-02-28 11:47:05	ga_s2am_ard_3-2-1_50HMH_2020-02-28_final.stac-item
2020-03-12 11:57:02	ga_s2am_ard_3-2-1_50HMH_2020-03-12_final.stac-item
2020-11-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-11-10_final.stac-item
2020-11-24 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2020-11-24_final.stac-item
2020-12-07 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2020-12-07_final.stac-item
2020-12-20 12:05:28	ga_s2am_ard_3-2-1_49JGK_2020-12-20_final.stac-item
2020-12-24 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2020-12-24_final.stac-item
2020-12-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-12-30_final.stac-item
2021-01-09 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-01-09_final.stac-item
2021-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-02-12_final.stac-item
2021-02-15 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-15_final.stac-item
2021-03-10 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-03-10_final.stac-item
2021-03-10 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-03-10_final.stac-item
2021-03-17 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-03-17_final.stac-item
2021-03-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2021-03-20_final.stac-item
2021-03-24 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-03-24_final.stac-item
2021-03-24 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-03-24_final.stac-item
2021-03-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2021-03-27_final.stac-item
2021-03-30 12:04:58	ga_s2am_ard_3-2-1_49JGM_2021-03-30_final.stac-item
2021-04-03 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2021-04-03_final.stac-item
2021-06-01 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-01_final.stac-item
2021-06-05 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-06-05_final
2021-07-02 11:47:19	ga_s2am_ard_3-2-1_50HPG_2021-07-02_final
2021-07-08 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-08_final.stac-item
2021-07-28 12:05:00	ga_s2am_ard_3-2-1_49JHM_2021-07-28_final.stac-item
2021-08-11 11:47:19	ga_s2am_ard_3-2-1_50HPG_2021-08-11_final
2021-08-11 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-08-11_final
2021-08-21 11:47:19	ga_s2am_ard_3-2-1_50HPG_2021-08-21_final
2021-09-09 12:13:40	ga_s2am_ard_3-2-1_49KHS_2021-09-09_final
2021-12-19 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-12-19_final.stac-item
2022-01-21 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-01-21_final.stac-item
2022-02-20 11:57:07	ga_s2am_ard_3-2-1_50HMH_2022-02-20_final.stac-item
2022-03-12 11:57:22	ga_s2am_ard_3-2-1_50HLH_2022-03-12_final.stac-item
2022-03-28 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-03-28_final.stac-item
2022-10-18 11:57:09	ga_s2am_ard_3-2-1_50HMH_2022-10-18_final.stac-item
2022-12-07 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-12-07_final.stac-item
2022-12-27 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-12-27_final.stac-item
2023-06-12 11:47:21	ga_s2am_ard_3-2-1_50HPG_2023-06-12_final
2023-12-12 11:57:01	ga_s2am_ard_3-2-1_50HMH_2023-12-12_final
2024-01-21 11:56:58	ga_s2am_ard_3-2-1_50HMH_2024-01-21_final
2024-02-26 12:13:53	ga_s2am_ard_3-2-1_49KHR_2024-02-26_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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