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
2016-01-19 12:13:57	ga_s2am_ard_3-2-1_49KGR_2016-01-19_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HMH_2016-06-11_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPJ_2016-06-25_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_50HPK_2016-07-15_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_50HQH_2016-07-15_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HPH_2016-08-17_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50HNG_2016-10-23_final
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HNG_2016-11-02_final
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPG_2016-11-12_final
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KHR_2016-11-24_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMG_2016-11-28_final
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KGP_2016-12-04_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-01-03_final.stac-item
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMJ_2017-05-27_final.stac-item
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HMH_2017-06-26_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HMH_2017-07-03_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHP_2017-07-09_final.stac-item
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JGN_2017-07-12_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HPH_2017-07-23_final.stac-item
2017-08-11 12:13:45	ga_s2am_ard_3-2-1_49KHR_2017-08-11_final.stac-item
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-11-06_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KGP_2017-11-26_final.stac-item
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGL_2018-01-08_final.stac-item
2018-02-07 12:13:40	ga_s2am_ard_3-2-1_49KHR_2018-02-07_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-02-17_final.stac-item
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HPK_2018-04-19_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HMJ_2018-06-01_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_50HLH_2018-06-21_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HMJ_2018-06-21_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HPH_2018-07-08_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HMH_2018-07-28_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HMJ_2018-08-07_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HMJ_2018-08-10_final.stac-item
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KGQ_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-08-13_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-16_final.stac-item
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KGP_2018-08-16_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHP_2018-08-23_final.stac-item
2018-11-14 12:13:49	ga_s2am_ard_3-2-1_49KHR_2018-11-14_final.stac-item
2018-12-04 12:14:23	ga_s2am_ard_3-2-1_49JHN_2018-12-04_final.stac-item
2018-12-11 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-11_final.stac-item
2018-12-14 12:13:50	ga_s2am_ard_3-2-1_49KGR_2018-12-14_final.stac-item
2018-12-14 12:15:02	ga_s2am_ard_3-2-1_49JGL_2018-12-14_final.stac-item
2018-12-24 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2018-12-24_final.stac-item
2019-01-10 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-01-10_final.stac-item
2019-03-01 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-03-01_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
2019-06-10 11:37:09	ga_s2am_ard_3-2-1_50HPH_2019-06-10_final.stac-item
2019-07-13 11:46:46	ga_s2am_ard_3-2-1_50HMK_2019-07-13_final.stac-item
2019-08-12 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-08-12_final.stac-item
2019-08-12 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-08-12_final.stac-item
2019-08-22 11:47:16	ga_s2am_ard_3-2-1_50HLH_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
2019-11-19 12:15:12	ga_s2am_ard_3-2-1_49JGL_2019-11-19_final.stac-item
2019-12-26 12:04:22	ga_s2am_ard_3-2-1_49KHP_2019-12-26_final.stac-item
2019-12-29 12:13:53	ga_s2am_ard_3-2-1_49KGR_2019-12-29_final.stac-item
2020-01-05 12:04:22	ga_s2am_ard_3-2-1_49KHP_2020-01-05_final.stac-item
2020-01-08 12:14:21	ga_s2am_ard_3-2-1_49KGP_2020-01-08_final.stac-item
2020-07-03 12:04:18	ga_s2am_ard_3-2-1_49KHQ_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
2020-07-10 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-07-10_final.stac-item
2020-07-17 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-07-17_final.stac-item
2020-07-20 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-07-20_final.stac-item
2020-07-27 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-07-27_final.stac-item
2020-08-12 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-08-12_final.stac-item
2020-08-12 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-08-12_final.stac-item
2020-11-10 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-11-10_final.stac-item
2020-12-20 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2020-12-20_final.stac-item
2020-12-30 12:05:29	ga_s2am_ard_3-2-1_49JGK_2020-12-30_final.stac-item
2021-01-02 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-02_final.stac-item
2021-02-28 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-02-28_final.stac-item
2021-03-13 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-03-13_final.stac-item
2021-04-20 11:37:02	ga_s2am_ard_3-2-1_50HPH_2021-04-20_final.stac-item
2021-05-09 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-05-09_final.stac-item
2021-05-13 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-05-13_final.stac-item
2021-05-23 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-05-23_final.stac-item
2021-06-28 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2021-06-28_final.stac-item
2021-07-19 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-07-19_final.stac-item
2021-08-01 11:47:13	ga_s2am_ard_3-2-1_50HMH_2021-08-01_final.stac-item
2021-08-11 11:47:09	ga_s2am_ard_3-2-1_50HNH_2021-08-11_final.stac-item
2021-12-15 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-12-15_final.stac-item
2021-12-25 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-12-25_final.stac-item
2022-02-17 11:46:54	ga_s2am_ard_3-2-1_50HQH_2022-02-17_final.stac-item
2022-03-16 11:37:10	ga_s2am_ard_3-2-1_50HPH_2022-03-16_final.stac-item
2022-06-30 11:56:49	ga_s2am_ard_3-2-1_50HMK_2022-06-30_final.stac-item
2022-06-30 11:57:22	ga_s2am_ard_3-2-1_50HLH_2022-06-30_final.stac-item
2022-11-10 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-11-10_final.stac-item
2022-11-10 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-11-10_final.stac-item
2022-11-21 11:37:03	ga_s2am_ard_3-2-1_50HQH_2022-11-21_final.stac-item
2022-12-03 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-12-03_final.stac-item
2022-12-23 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2022-12-23_final.stac-item
2022-12-23 12:14:57	ga_s2am_ard_3-2-1_49JFM_2022-12-23_final.stac-item
2023-07-22 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-07-22_final
2024-01-25 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-25_final
2024-01-31 11:57:15	ga_s2am_ard_3-2-1_50HMG_2024-01-31_final
2024-02-10 11:57:18	ga_s2am_ard_3-2-1_50HLG_2024-02-10_final
2024-03-01 11:57:20	ga_s2am_ard_3-2-1_50HMG_2024-03-01_final
2024-03-11 11:57:22	ga_s2am_ard_3-2-1_50HLG_2024-03-11_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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