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
2016-04-22 11:56:28	ga_s2am_ard_3-2-1_50HMK_2016-04-22_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KGR_2016-07-07_final.stac-item
2016-08-13 12:03:51	ga_s2am_ard_3-2-1_49KHR_2016-08-13_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HPG_2016-08-17_final
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLG_2016-11-05_final
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMG_2016-11-05_final
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KGR_2016-11-24_final.stac-item
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KGR_2017-02-02_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HNG_2017-04-14_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JHN_2017-07-09_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KGQ_2017-07-09_final.stac-item
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50HMK_2017-07-16_final.stac-item
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHR_2017-11-29_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50HPH_2018-01-06_final.stac-item
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49JGM_2018-01-28_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-02-17_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-02-17_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGR_2018-03-09_final.stac-item
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50HPJ_2018-03-17_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-03-26_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMK_2018-05-22_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMK_2018-05-29_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HMJ_2018-06-08_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HMJ_2018-06-21_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HNH_2018-06-28_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-08-13_final.stac-item
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HPH_2018-08-14_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLH_2018-08-20_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-10-15_final.stac-item
2018-11-14 12:13:53	ga_s2am_ard_3-2-1_49KGR_2018-11-14_final.stac-item
2018-11-14 12:14:25	ga_s2am_ard_3-2-1_49KGP_2018-11-14_final.stac-item
2018-12-11 12:04:23	ga_s2am_ard_3-2-1_49KGP_2018-12-11_final.stac-item
2019-01-10 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-01-10_final.stac-item
2019-03-14 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-03-14_final.stac-item
2019-05-24 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-05-24_final.stac-item
2019-06-03 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-06-03_final.stac-item
2019-06-29 12:04:50	ga_s2am_ard_3-2-1_49JGN_2019-06-29_final.stac-item
2019-07-10 11:37:12	ga_s2am_ard_3-2-1_50HPH_2019-07-10_final.stac-item
2019-07-13 11:46:46	ga_s2am_ard_3-2-1_50HMK_2019-07-13_final.stac-item
2019-08-08 12:04:35	ga_s2am_ard_3-2-1_49KGP_2019-08-08_final.stac-item
2019-08-15 11:56:17	ga_s2am_ard_3-2-1_50JKM_2019-08-15_final.stac-item
2019-08-22 11:46:43	ga_s2am_ard_3-2-1_50HMK_2019-08-22_final.stac-item
2019-10-20 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-10-20_final.stac-item
2019-11-16 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-11-16_final.stac-item
2019-11-27 11:37:03	ga_s2am_ard_3-2-1_50HQH_2019-11-27_final.stac-item
2020-01-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-01-05_final.stac-item
2020-01-06 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2020-01-06_final.stac-item
2020-01-08 12:14:21	ga_s2am_ard_3-2-1_49KGP_2020-01-08_final.stac-item
2020-01-08 12:14:36	ga_s2am_ard_3-2-1_49JGN_2020-01-08_final.stac-item
2020-01-09 11:46:48	ga_s2am_ard_3-2-1_50HQH_2020-01-09_final.stac-item
2020-03-05 12:04:27	ga_s2am_ard_3-2-1_49KGP_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
2020-03-19 11:46:37	ga_s2am_ard_3-2-1_50HMK_2020-03-19_final.stac-item
2020-06-07 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-06-07_final.stac-item
2020-06-30 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2020-06-30_final.stac-item
2020-07-03 12:04:11	ga_s2am_ard_3-2-1_49KHR_2020-07-03_final.stac-item
2020-07-03 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-07-03_final.stac-item
2020-07-14 11:37:11	ga_s2am_ard_3-2-1_50HPH_2020-07-14_final.stac-item
2020-08-06 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-08-06_final.stac-item
2020-08-12 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-08-12_final.stac-item
2020-08-22 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-08-22_final.stac-item
2020-08-25 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-08-25_final.stac-item
2020-09-25 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-09-25_final.stac-item
2020-11-20 12:05:03	ga_s2am_ard_3-2-1_49JGM_2020-11-20_final.stac-item
2021-01-10 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-01-10_final.stac-item
2021-01-29 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-01-29_final.stac-item
2021-02-11 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2021-02-11_final.stac-item
2021-02-21 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-02-21_final.stac-item
2021-04-13 11:47:19	ga_s2am_ard_3-2-1_50HMG_2021-04-13_final
2021-05-13 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-05-13_final.stac-item
2021-06-28 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2021-06-28_final.stac-item
2021-07-05 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-05_final.stac-item
2021-08-10 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-08-10_final.stac-item
2021-08-11 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2021-08-11_final.stac-item
2021-08-21 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-08-21_final
2021-08-27 12:04:48	ga_s2am_ard_3-2-1_49JGN_2021-08-27_final.stac-item
2021-10-23 11:57:28	ga_s2am_ard_3-2-1_50HLG_2021-10-23_final
2021-11-05 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2021-11-05_final.stac-item
2021-12-02 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-12-02_final.stac-item
2021-12-09 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2021-12-09_final.stac-item
2021-12-19 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-12-19_final
2022-02-17 11:46:54	ga_s2am_ard_3-2-1_50HQH_2022-02-17_final.stac-item
2022-04-14 12:04:49	ga_s2am_ard_3-2-1_49JGN_2022-04-14_final.stac-item
2022-05-24 12:05:08	ga_s2am_ard_3-2-1_49JGM_2022-05-24_final.stac-item
2022-07-24 11:37:17	ga_s2am_ard_3-2-1_50HPH_2022-07-24_final.stac-item
2022-11-23 12:13:54	ga_s2am_ard_3-2-1_49KHR_2022-11-23_final.stac-item
2022-11-24 11:46:40	ga_s2am_ard_3-2-1_50HMK_2022-11-24_final.stac-item
2023-01-13 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-01-13_final.stac-item
2023-12-19 11:46:58	ga_s2am_ard_3-2-1_50HPH_2023-12-19_final
2024-01-14 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2024-01-14_final
2024-01-21 11:57:14	ga_s2am_ard_3-2-1_50HLG_2024-01-21_final
2024-02-17 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2024-02-17_final
2024-02-17 11:47:00	ga_s2am_ard_3-2-1_50HPH_2024-02-17_final
2024-03-04 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2024-03-04_final
2024-03-05 11:37:18	ga_s2am_ard_3-2-1_50HPG_2024-03-05_final
2024-03-08 11:47:03	ga_s2am_ard_3-2-1_50HPH_2024-03-08_final
2024-03-21 11:56:31	ga_s2am_ard_3-2-1_50HNK_2024-03-21_final
2024-03-25 11:37:08	ga_s2am_ard_3-2-1_50HPH_2024-03-25_final
2024-04-14 11:37:09	ga_s2am_ard_3-2-1_50HPH_2024-04-14_final
2024-04-17 11:47:30	ga_s2am_ard_3-2-1_50HLG_2024-04-17_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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