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
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGL_2015-11-30_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGL_2015-12-30_final.stac-item
2016-01-29 12:14:38	ga_s2am_ard_3-2-1_49JGL_2016-01-29_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HLJ_2016-04-02_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HLK_2016-04-02_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HMJ_2016-05-09_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_49KHR_2016-07-27_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGL_2016-09-02_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49KHR_2016-10-02_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49KHR_2016-10-25_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HMK_2016-12-28_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HLK_2017-01-07_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HNJ_2017-01-24_final.stac-item
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49JFM_2017-02-22_final.stac-item
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HQH_2017-03-25_final.stac-item
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JGM_2017-04-03_final.stac-item
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLK_2017-04-07_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HMH_2017-06-13_final.stac-item
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGL_2017-11-19_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HNK_2018-01-12_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JFM_2018-02-17_final.stac-item
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HPJ_2018-02-18_final.stac-item
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGL_2018-04-15_final.stac-item
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HPJ_2018-04-26_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KHQ_2018-05-15_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_50HNK_2018-06-21_final.stac-item
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KGP_2018-06-27_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGN_2018-08-13_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-10-02_final.stac-item
2018-12-01 12:04:10	ga_s2am_ard_3-2-1_49KGQ_2018-12-01_final.stac-item
2018-12-05 11:46:32	ga_s2am_ard_3-2-1_50HMK_2018-12-05_final.stac-item
2018-12-25 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2018-12-25_final.stac-item
2019-01-01 11:36:32	ga_s2am_ard_3-2-1_50HPK_2019-01-01_final.stac-item
2019-01-01 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2019-01-01_final.stac-item
2019-02-20 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2019-02-20_final.stac-item
2019-03-05 11:47:04	ga_s2am_ard_3-2-1_50HMH_2019-03-05_final.stac-item
2019-03-25 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2019-03-25_final.stac-item
2019-04-03 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-04-03_final.stac-item
2019-04-27 11:57:13	ga_s2am_ard_3-2-1_50HLH_2019-04-27_final.stac-item
2019-05-13 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2019-05-13_final.stac-item
2019-05-21 11:37:10	ga_s2am_ard_3-2-1_50HPH_2019-05-21_final.stac-item
2019-05-27 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-05-27_final.stac-item
2019-06-03 11:47:04	ga_s2am_ard_3-2-1_50HPH_2019-06-03_final.stac-item
2019-06-13 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-06-13_final.stac-item
2019-07-09 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-07-09_final.stac-item
2019-08-02 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2019-08-02_final.stac-item
2019-08-11 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-08-11_final.stac-item
2019-08-28 12:04:44	ga_s2am_ard_3-2-1_49JHN_2019-08-28_final.stac-item
2019-10-01 11:46:42	ga_s2am_ard_3-2-1_50HMK_2019-10-01_final.stac-item
2019-11-07 11:37:09	ga_s2am_ard_3-2-1_50HPH_2019-11-07_final.stac-item
2019-11-09 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-11-09_final.stac-item
2019-11-20 11:47:15	ga_s2am_ard_3-2-1_50HLH_2019-11-20_final.stac-item
2019-11-26 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2019-11-26_final.stac-item
2019-11-30 11:47:05	ga_s2am_ard_3-2-1_50HNH_2019-11-30_final.stac-item
2020-01-19 11:46:37	ga_s2am_ard_3-2-1_50HQJ_2020-01-19_final.stac-item
2020-03-09 11:47:08	ga_s2am_ard_3-2-1_50HNH_2020-03-09_final.stac-item
2020-04-17 12:14:56	ga_s2am_ard_3-2-1_49JGM_2020-04-17_final.stac-item
2020-05-01 11:56:43	ga_s2am_ard_3-2-1_50HLK_2020-05-01_final.stac-item
2020-05-01 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2020-05-01_final.stac-item
2020-05-07 12:14:02	ga_s2am_ard_3-2-1_49KGR_2020-05-07_final.stac-item
2020-05-15 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-05-15_final.stac-item
2020-06-07 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-06-07_final.stac-item
2020-08-12 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-08-12_final.stac-item
2020-12-07 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2020-12-07_final.stac-item
2021-01-13 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-13_final.stac-item
2021-01-13 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-01-13_final.stac-item
2021-01-23 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2021-01-23_final.stac-item
2021-03-13 12:14:26	ga_s2am_ard_3-2-1_49KGP_2021-03-13_final.stac-item
2021-08-11 11:46:43	ga_s2am_ard_3-2-1_50HMK_2021-08-11_final.stac-item
2021-09-29 12:14:25	ga_s2am_ard_3-2-1_49KGP_2021-09-29_final.stac-item
2021-12-19 11:46:31	ga_s2am_ard_3-2-1_50HNK_2021-12-19_final.stac-item
2021-12-25 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-12-25_final.stac-item
2021-12-26 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-12-26_final.stac-item
2022-01-04 12:04:47	ga_s2am_ard_3-2-1_49JGN_2022-01-04_final.stac-item
2022-01-18 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2022-01-18_final.stac-item
2022-05-28 11:46:59	ga_s2am_ard_3-2-1_50HNJ_2022-05-28_final.stac-item
2022-06-30 11:57:04	ga_s2am_ard_3-2-1_50HMJ_2022-06-30_final.stac-item
2022-07-26 12:15:10	ga_s2am_ard_3-2-1_49JFM_2022-07-26_final.stac-item
2022-08-05 12:14:20	ga_s2am_ard_3-2-1_49KHQ_2022-08-05_final.stac-item
2022-09-05 11:47:26	ga_s2am_ard_3-2-1_50HLH_2022-09-05_final.stac-item
2022-09-28 11:57:02	ga_s2am_ard_3-2-1_50HLJ_2022-09-28_final.stac-item
2022-10-11 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2022-10-11_final.stac-item
2022-11-24 11:46:33	ga_s2am_ard_3-2-1_50HPK_2022-11-24_final.stac-item
2023-01-23 11:47:13	ga_s2am_ard_3-2-1_50HPG_2023-01-23_final
2023-02-09 11:36:37	ga_s2am_ard_3-2-1_50HPK_2023-02-09_final.stac-item
2023-02-09 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-02-09_final.stac-item
2023-02-12 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-02-12_final
2023-03-31 11:37:25	ga_s2am_ard_3-2-1_50HNG_2023-03-31_final
2023-05-09 12:04:25	ga_s2am_ard_3-2-1_49KGP_2023-05-09_final
2023-08-14 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2023-08-14_final
2023-09-03 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-09-03_final
2023-10-03 11:56:31	ga_s2am_ard_3-2-1_50HNK_2023-10-03_final
2023-10-26 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2023-10-26_final
2023-11-06 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-11-06_final
2024-01-14 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2024-01-14_final
2024-01-24 12:03:38	ga_s2am_ard_3-2-1_49KHS_2024-01-24_final
2024-03-27 12:15:11	ga_s2am_ard_3-2-1_49JGL_2024-03-27_final
2024-04-07 11:46:56	ga_s2am_ard_3-2-1_50HPH_2024-04-07_final
2024-04-07 11:47:05	ga_s2am_ard_3-2-1_50HNH_2024-04-07_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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