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
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49JGN_2015-10-21_final.stac-item
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KGP_2015-10-28_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KHP_2015-10-28_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHP_2016-08-26_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KGP_2016-11-14_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KHP_2016-11-21_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KGP_2016-12-01_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49JHN_2016-12-11_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KGP_2016-12-21_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KHP_2016-12-21_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KGQ_2017-01-20_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_49KHQ_2017-01-30_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2017-03-31_final.stac-item
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KGP_2017-04-03_final.stac-item
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-04-03_final.stac-item
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KHP_2017-04-03_final.stac-item
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2017-04-03_final.stac-item
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2017-08-18_final.stac-item
2017-10-20 12:13:21	ga_s2am_ard_3-2-1_49KGR_2017-10-20_final.stac-item
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-11-19_final.stac-item
2018-12-04 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-04_final.stac-item
2019-01-13 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2019-01-13_final.stac-item
2019-01-20 12:04:24	ga_s2am_ard_3-2-1_49KHP_2019-01-20_final.stac-item
2019-01-20 12:04:28	ga_s2am_ard_3-2-1_49KGP_2019-01-20_final.stac-item
2019-01-30 12:04:39	ga_s2am_ard_3-2-1_49JHN_2019-01-30_final.stac-item
2019-05-17 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-05-17_final.stac-item
2019-07-16 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2019-07-16_final.stac-item
2019-08-31 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-08-31_final.stac-item
2019-09-17 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2019-09-17_final.stac-item
2019-11-06 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-11-06_final.stac-item
2019-11-09 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-11-09_final.stac-item
2019-12-09 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-12-09_final.stac-item
2020-01-25 12:04:11	ga_s2am_ard_3-2-1_49KGQ_2020-01-25_final.stac-item
2020-01-28 12:14:02	ga_s2am_ard_3-2-1_49KHQ_2020-01-28_final.stac-item
2020-04-17 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2020-04-17_final.stac-item
2020-04-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2020-04-17_final.stac-item
2020-04-17 12:14:41	ga_s2am_ard_3-2-1_49JGN_2020-04-17_final.stac-item
2020-05-07 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-05-07_final.stac-item
2020-07-06 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-07-06_final.stac-item
2020-08-02 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-08-02_final.stac-item
2020-08-15 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-08-15_final.stac-item
2020-08-19 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-08-19_final.stac-item
2020-08-19 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-08-19_final.stac-item
2020-08-19 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-08-19_final.stac-item
2020-09-01 12:04:33	ga_s2am_ard_3-2-1_49KHP_2020-09-01_final.stac-item
2020-09-04 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-09-04_final.stac-item
2020-09-18 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-09-18_final.stac-item
2020-09-25 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-09-25_final.stac-item
2020-10-01 12:04:19	ga_s2am_ard_3-2-1_49KHQ_2020-10-01_final.stac-item
2020-11-13 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2020-11-13_final.stac-item
2020-12-10 12:04:28	ga_s2am_ard_3-2-1_49KGP_2020-12-10_final.stac-item
2020-12-13 12:14:42	ga_s2am_ard_3-2-1_49JFN_2020-12-13_final.stac-item
2020-12-23 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2020-12-23_final.stac-item
2021-01-29 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-01-29_final
2021-01-29 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-01-29_final.stac-item
2021-08-30 12:14:00	ga_s2am_ard_3-2-1_49KGR_2021-08-30_final.stac-item
2021-08-30 12:14:10	ga_s2am_ard_3-2-1_49KHQ_2021-08-30_final.stac-item
2021-10-06 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2021-10-06_final.stac-item
2021-10-26 12:05:13	ga_s2am_ard_3-2-1_49JFM_2021-10-26_final.stac-item
2021-11-28 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-11-28_final.stac-item
2022-01-31 11:56:40	ga_s2am_ard_3-2-1_50HLK_2022-01-31_final.stac-item
2022-03-05 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2022-03-05_final.stac-item
2022-03-08 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-03-08_final.stac-item
2022-03-09 11:46:45	ga_s2am_ard_3-2-1_50HMK_2022-03-09_final.stac-item
2022-03-12 11:56:40	ga_s2am_ard_3-2-1_50HMK_2022-03-12_final.stac-item
2022-03-12 11:56:44	ga_s2am_ard_3-2-1_50HLK_2022-03-12_final.stac-item
2022-04-14 12:04:31	ga_s2am_ard_3-2-1_49KHP_2022-04-14_final.stac-item
2022-04-21 11:56:41	ga_s2am_ard_3-2-1_50HMK_2022-04-21_final.stac-item
2022-05-21 11:56:43	ga_s2am_ard_3-2-1_50HMK_2022-05-21_final.stac-item
2022-05-21 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2022-05-21_final.stac-item
2022-06-26 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2022-06-26_final.stac-item
2022-06-30 11:57:22	ga_s2am_ard_3-2-1_50HLH_2022-06-30_final.stac-item
2022-08-12 12:04:26	ga_s2am_ard_3-2-1_49KHQ_2022-08-12_final.stac-item
2022-08-15 12:14:33	ga_s2am_ard_3-2-1_49KHP_2022-08-15_final.stac-item
2022-08-22 12:04:31	ga_s2am_ard_3-2-1_49KGQ_2022-08-22_final.stac-item
2022-10-14 12:14:17	ga_s2am_ard_3-2-1_49KHQ_2022-10-14_final.stac-item
2022-12-23 12:14:19	ga_s2am_ard_3-2-1_49KHP_2022-12-23_final.stac-item
2023-01-02 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-01-02_final.stac-item
2023-01-06 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-01-06_final.stac-item
2023-01-16 11:56:36	ga_s2am_ard_3-2-1_50HLK_2023-01-16_final.stac-item
2023-03-13 12:14:17	ga_s2am_ard_3-2-1_49KHP_2023-03-13_final
2023-06-08 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-06-08_final
2023-06-12 11:47:18	ga_s2am_ard_3-2-1_50HLH_2023-06-12_final
2023-08-11 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-08-11_final
2023-10-29 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-10-29_final
2023-11-02 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-11-02_final
2023-11-08 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-11-08_final
2023-12-05 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2023-12-05_final
2023-12-05 12:04:24	ga_s2am_ard_3-2-1_49KGP_2023-12-05_final
2024-01-07 12:14:17	ga_s2am_ard_3-2-1_49KHP_2024-01-07_final
2024-01-17 12:14:13	ga_s2am_ard_3-2-1_49KHP_2024-01-17_final
2024-02-06 12:14:17	ga_s2am_ard_3-2-1_49KHP_2024-02-06_final
2024-04-13 12:05:10	ga_s2am_ard_3-2-1_49JFM_2024-04-13_final
2024-04-20 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2024-04-20_final
2024-04-26 12:13:57	ga_s2am_ard_3-2-1_49KHR_2024-04-26_final
2024-04-30 11:57:25	ga_s2am_ard_3-2-1_50HLG_2024-04-30_final
2024-05-06 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2024-05-06_final
2024-05-06 12:14:23	ga_s2am_ard_3-2-1_49KHP_2024-05-06_final
2024-05-16 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2024-05-16_nrt

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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