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
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HPG_2016-06-18_final
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49KGP_2016-06-24_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-08-06_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGP_2016-08-06_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HPG_2016-09-06_final
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHS_2016-11-01_final
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KGP_2016-11-04_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JHN_2016-11-11_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HLG_2016-11-28_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGL_2016-12-31_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JGM_2017-01-03_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HMK_2017-06-06_final.stac-item
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HMJ_2017-06-26_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHQ_2017-07-09_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KGP_2017-11-09_final.stac-item
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JGM_2017-12-09_final.stac-item
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGM_2018-01-08_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-02-27_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-03-06_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HPH_2018-05-19_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMJ_2018-05-29_final.stac-item
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HMJ_2018-06-11_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGN_2018-06-24_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KGR_2018-08-06_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HMK_2018-08-07_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HLJ_2018-08-10_final.stac-item
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHR_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KHP_2018-08-13_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KGQ_2018-08-16_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHN_2018-08-23_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2018-08-23_final.stac-item
2018-11-14 12:14:19	ga_s2am_ard_3-2-1_49KGP_2018-11-14_final.stac-item
2018-11-24 12:14:19	ga_s2am_ard_3-2-1_49KGP_2018-11-24_final.stac-item
2018-12-24 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-24_final.stac-item
2019-01-04 11:46:49	ga_s2am_ard_3-2-1_50HPH_2019-01-04_final.stac-item
2019-03-01 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-03-01_final.stac-item
2019-06-13 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-06-13_final.stac-item
2019-07-16 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2019-07-16_final.stac-item
2019-07-20 11:37:12	ga_s2am_ard_3-2-1_50HPH_2019-07-20_final.stac-item
2019-08-18 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-08-18_final.stac-item
2019-08-21 12:14:29	ga_s2am_ard_3-2-1_49KGP_2019-08-21_final.stac-item
2019-08-21 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-08-21_final.stac-item
2019-08-25 11:57:11	ga_s2am_ard_3-2-1_50HLH_2019-08-25_final.stac-item
2019-11-09 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-11-09_final.stac-item
2019-11-19 12:14:28	ga_s2am_ard_3-2-1_49KGP_2019-11-19_final.stac-item
2019-12-06 12:04:29	ga_s2am_ard_3-2-1_49KGP_2019-12-06_final.stac-item
2019-12-16 12:04:40	ga_s2am_ard_3-2-1_49JGN_2019-12-16_final.stac-item
2020-02-07 12:13:46	ga_s2am_ard_3-2-1_49KHR_2020-02-07_final.stac-item
2020-03-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-03-05_final.stac-item
2020-03-15 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-03-15_final.stac-item
2020-03-15 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-15_final.stac-item
2020-03-16 11:37:03	ga_s2am_ard_3-2-1_50HPH_2020-03-16_final.stac-item
2020-07-14 11:37:11	ga_s2am_ard_3-2-1_50HPH_2020-07-14_final.stac-item
2020-08-16 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-08-16_final.stac-item
2020-11-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-11-10_final.stac-item
2020-11-10 12:05:19	ga_s2am_ard_3-2-1_49JGL_2020-11-10_final.stac-item
2020-12-20 12:03:57	ga_s2am_ard_3-2-1_49KHR_2020-12-20_final.stac-item
2020-12-20 12:04:26	ga_s2am_ard_3-2-1_49KHP_2020-12-20_final.stac-item
2021-01-02 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-01-02_final.stac-item
2021-02-08 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-02-08_final.stac-item
2021-02-08 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-02-08_final.stac-item
2021-02-18 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-02-18_final.stac-item
2021-02-21 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-02-21_final.stac-item
2021-02-28 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-02-28_final
2021-03-03 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-03-03_final.stac-item
2021-03-03 12:15:07	ga_s2am_ard_3-2-1_49JGL_2021-03-03_final.stac-item
2021-05-26 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-05-26_final.stac-item
2021-05-26 11:57:07	ga_s2am_ard_3-2-1_50HLH_2021-05-26_final.stac-item
2021-06-19 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-06-19_final
2021-06-22 11:47:18	ga_s2am_ard_3-2-1_50HPG_2021-06-22_final
2021-06-25 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-06-25_final
2021-07-28 12:04:35	ga_s2am_ard_3-2-1_49KGP_2021-07-28_final.stac-item
2021-08-07 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-08-07_final.stac-item
2021-08-27 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-08-27_final.stac-item
2021-08-27 12:04:48	ga_s2am_ard_3-2-1_49JGN_2021-08-27_final.stac-item
2021-11-19 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-11-19_final
2021-11-26 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-11-26_final.stac-item
2021-12-16 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-12-16_final.stac-item
2022-01-05 11:37:08	ga_s2am_ard_3-2-1_50HPH_2022-01-05_final.stac-item
2022-06-27 11:46:53	ga_s2am_ard_3-2-1_50HMK_2022-06-27_final.stac-item
2022-06-27 11:47:08	ga_s2am_ard_3-2-1_50HMJ_2022-06-27_final.stac-item
2022-06-27 11:47:22	ga_s2am_ard_3-2-1_50HMH_2022-06-27_final.stac-item
2022-07-04 11:37:20	ga_s2am_ard_3-2-1_50HPH_2022-07-04_final.stac-item
2022-11-10 12:05:18	ga_s2am_ard_3-2-1_49JGL_2022-11-10_final.stac-item
2022-11-20 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2022-11-20_final.stac-item
2022-11-24 11:47:02	ga_s2am_ard_3-2-1_50HPH_2022-11-24_final.stac-item
2022-11-30 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2022-11-30_final.stac-item
2022-12-30 12:05:28	ga_s2am_ard_3-2-1_49JGK_2022-12-30_final.stac-item
2023-01-02 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-01-02_final.stac-item
2023-01-03 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-01-03_final
2023-02-19 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-02-19_nrt.stac-item
2023-02-19 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-02-19_final
2023-03-31 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-03-31_final
2023-04-23 11:47:16	ga_s2am_ard_3-2-1_50HPG_2023-04-23_final
2023-05-23 11:47:20	ga_s2am_ard_3-2-1_50HPG_2023-05-23_final
2023-06-22 11:46:44	ga_s2am_ard_3-2-1_50HMK_2023-06-22_final
2023-11-15 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-11-15_final
2024-02-06 12:14:56	ga_s2am_ard_3-2-1_49JFM_2024-02-06_final
2024-04-30 11:57:23	ga_s2am_ard_3-2-1_50HMG_2024-04-30_final
2024-05-07 11:47:27	ga_s2am_ard_3-2-1_50HMG_2024-05-07_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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