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
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGM_2016-02-05_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HNG_2016-02-19_final
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HNK_2016-04-19_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-28_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMH_2016-05-29_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JGM_2016-06-17_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HPG_2016-06-18_final
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-10-25_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGM_2016-11-11_final.stac-item
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HMK_2017-04-07_final.stac-item
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50HMK_2017-11-13_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGM_2018-01-05_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50HPK_2018-01-06_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGM_2018-03-16_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JHM_2018-04-05_final.stac-item
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HPK_2018-04-16_final.stac-item
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-04-18_final.stac-item
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HPJ_2018-04-26_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGK_2018-05-05_final.stac-item
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49JGL_2018-05-08_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGK_2018-05-15_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMH_2018-05-19_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMJ_2018-05-22_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HPJ_2018-05-26_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HQH_2018-05-26_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHQ_2018-06-04_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KGQ_2018-06-24_final.stac-item
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-06-27_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-07-07_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-07-07_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KGQ_2018-08-06_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JHN_2018-08-13_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HNK_2018-08-17_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGM_2018-08-26_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHP_2018-09-05_final.stac-item
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-09-12_final.stac-item
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HLH_2018-09-29_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMK_2018-10-09_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPJ_2018-10-13_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JFM_2018-10-15_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-10-15_final.stac-item
2018-10-25 12:14:37	ga_s2am_ard_3-2-1_49JGM_2018-10-25_final.stac-item
2018-11-14 12:15:05	ga_s2am_ard_3-2-1_49JGL_2018-11-14_final.stac-item
2018-11-18 11:56:24	ga_s2am_ard_3-2-1_50HNK_2018-11-18_final.stac-item
2018-11-22 11:36:56	ga_s2am_ard_3-2-1_50HQH_2018-11-22_final.stac-item
2018-12-25 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2018-12-25_final.stac-item
2018-12-28 11:56:29	ga_s2am_ard_3-2-1_50HMK_2018-12-28_final.stac-item
2018-12-31 12:04:40	ga_s2am_ard_3-2-1_49JGN_2018-12-31_final.stac-item
2018-12-31 12:04:50	ga_s2am_ard_3-2-1_49JHM_2018-12-31_final.stac-item
2019-01-07 11:56:31	ga_s2am_ard_3-2-1_50HMK_2019-01-07_final.stac-item
2019-02-03 11:47:03	ga_s2am_ard_3-2-1_50HNH_2019-02-03_final.stac-item
2019-03-18 11:57:03	ga_s2am_ard_3-2-1_50HMH_2019-03-18_final.stac-item
2019-06-12 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-06-12_final.stac-item
2019-07-09 12:05:34	ga_s2am_ard_3-2-1_49JGK_2019-07-09_final.stac-item
2019-09-27 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-09-27_final.stac-item
2019-10-14 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-10-14_final.stac-item
2019-10-14 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-10-14_final.stac-item
2019-11-23 11:57:10	ga_s2am_ard_3-2-1_50HLH_2019-11-23_final.stac-item
2019-12-23 11:57:03	ga_s2am_ard_3-2-1_50HLH_2019-12-23_final.stac-item
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final.stac-item
2020-02-08 11:46:29	ga_s2am_ard_3-2-1_50HNK_2020-02-08_final.stac-item
2020-03-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2020-03-22_final.stac-item
2020-04-08 11:46:27	ga_s2am_ard_3-2-1_50HQK_2020-04-08_final.stac-item
2020-04-08 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2020-04-08_final.stac-item
2020-06-10 11:56:36	ga_s2am_ard_3-2-1_50HNK_2020-06-10_final.stac-item
2020-06-13 12:05:07	ga_s2am_ard_3-2-1_49JGM_2020-06-13_final.stac-item
2020-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-11_final.stac-item
2020-10-18 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-10-18_final.stac-item
2020-12-04 11:46:36	ga_s2am_ard_3-2-1_50HNK_2020-12-04_final.stac-item
2020-12-30 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2020-12-30_final.stac-item
2021-01-03 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-01-03_final.stac-item
2021-01-12 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-01-12_final.stac-item
2021-02-25 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-25_final.stac-item
2021-03-14 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-03-14_final.stac-item
2021-03-14 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-03-14_final.stac-item
2021-03-14 11:47:16	ga_s2am_ard_3-2-1_50HPG_2021-03-14_final
2021-04-13 11:46:24	ga_s2am_ard_3-2-1_50HQK_2021-04-13_final.stac-item
2021-04-26 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-04-26_final.stac-item
2021-04-30 11:36:31	ga_s2am_ard_3-2-1_50HQK_2021-04-30_final.stac-item
2021-05-09 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-05-09_final.stac-item
2021-05-09 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-05-09_final.stac-item
2021-05-20 11:37:27	ga_s2am_ard_3-2-1_50HNG_2021-05-20_final
2021-05-23 11:46:30	ga_s2am_ard_3-2-1_50HQK_2021-05-23_final.stac-item
2021-05-23 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-05-23_final.stac-item
2021-06-02 11:47:18	ga_s2am_ard_3-2-1_50HPG_2021-06-02_final
2021-06-21 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-06-21_final.stac-item
2021-07-19 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2021-07-19_final.stac-item
2021-08-07 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-08-07_final.stac-item
2021-08-27 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-08-27_final.stac-item
2021-10-23 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2021-10-23_final.stac-item
2022-01-08 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-01-08_final.stac-item
2022-04-01 11:56:39	ga_s2am_ard_3-2-1_50HMK_2022-04-01_final.stac-item
2022-11-14 11:47:13	ga_s2am_ard_3-2-1_50HMH_2022-11-14_final.stac-item
2022-11-14 11:47:17	ga_s2am_ard_3-2-1_50HLH_2022-11-14_final.stac-item
2023-02-02 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-02-02_final
2023-02-05 11:56:29	ga_s2am_ard_3-2-1_50HNK_2023-02-05_final
2023-04-20 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-04-20_final
2023-09-07 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2023-09-07_final
2023-09-16 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-09-16_final
2024-01-08 11:47:05	ga_s2am_ard_3-2-1_50HMH_2024-01-08_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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