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
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50HLK_2015-12-24_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JKT_2016-02-15_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HMJ_2016-03-03_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGK_2016-03-06_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HNG_2016-05-16_final
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_50HPH_2016-05-16_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-10-25_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HNK_2016-11-05_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HPJ_2016-12-15_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HQK_2016-12-25_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMJ_2017-02-03_final.stac-item
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HPK_2017-03-25_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49JGN_2017-04-20_final.stac-item
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HLK_2017-04-27_final.stac-item
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HPH_2017-05-04_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HNH_2017-07-03_final.stac-item
2017-08-11 12:14:43	ga_s2am_ard_3-2-1_49JGL_2017-08-11_final.stac-item
2017-10-11 11:40:47	ga_s2am_ard_3-2-1_50HMK_2017-10-11_final.stac-item
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HMH_2017-10-31_final.stac-item
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HNJ_2017-10-31_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMH_2017-12-03_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-02-14_final.stac-item
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_50JLN_2018-02-14_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGK_2018-05-15_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGL_2018-06-14_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKR_2018-07-04_final.stac-item
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HPK_2018-07-15_final.stac-item
2018-11-21 12:04:54	ga_s2am_ard_3-2-1_49JHM_2018-11-21_final.stac-item
2018-11-25 11:46:33	ga_s2am_ard_3-2-1_50HMK_2018-11-25_final.stac-item
2018-12-22 11:37:02	ga_s2am_ard_3-2-1_50HPH_2018-12-22_final.stac-item
2019-01-07 11:56:25	ga_s2am_ard_3-2-1_50HNK_2019-01-07_final.stac-item
2019-02-06 11:56:27	ga_s2am_ard_3-2-1_50HNK_2019-02-06_final.stac-item
2019-02-10 11:36:59	ga_s2am_ard_3-2-1_50HQH_2019-02-10_final.stac-item
2019-02-20 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2019-02-20_final.stac-item
2019-03-18 11:55:43	ga_s2am_ard_3-2-1_50JKP_2019-03-18_final.stac-item
2019-04-11 11:36:40	ga_s2am_ard_3-2-1_50HPK_2019-04-11_final.stac-item
2019-04-11 11:37:08	ga_s2am_ard_3-2-1_50HPH_2019-04-11_final.stac-item
2019-05-07 11:57:10	ga_s2am_ard_3-2-1_50HMH_2019-05-07_final.stac-item
2019-05-24 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2019-05-24_final.stac-item
2019-07-12 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2019-07-12_final.stac-item
2019-07-16 11:56:16	ga_s2am_ard_3-2-1_50JLM_2019-07-16_final.stac-item
2019-08-15 11:56:14	ga_s2am_ard_3-2-1_50JLM_2019-08-15_final.stac-item
2019-11-06 12:05:00	ga_s2am_ard_3-2-1_50JKS_2019-11-06_final.stac-item
2019-12-13 11:56:07	ga_s2am_ard_3-2-1_50JLM_2019-12-13_final.stac-item
2019-12-30 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2019-12-30_final.stac-item
2020-01-05 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2020-01-05_final.stac-item
2020-01-19 11:47:00	ga_s2am_ard_3-2-1_50HNH_2020-01-19_final.stac-item
2020-03-09 11:47:05	ga_s2am_ard_3-2-1_50HLH_2020-03-09_final.stac-item
2020-06-03 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-06-03_final.stac-item
2020-07-03 12:05:34	ga_s2am_ard_3-2-1_49JGK_2020-07-03_final.stac-item
2020-07-07 11:46:34	ga_s2am_ard_3-2-1_50HQK_2020-07-07_final.stac-item
2020-07-16 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-07-16_final.stac-item
2020-08-25 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-08-25_final.stac-item
2020-09-15 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-09-15_final.stac-item
2020-10-11 12:05:03	ga_s2am_ard_3-2-1_50JKS_2020-10-11_final.stac-item
2020-10-18 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-10-18_final.stac-item
2020-11-24 11:47:11	ga_s2am_ard_3-2-1_50HMH_2020-11-24_final.stac-item
2020-12-04 11:46:29	ga_s2am_ard_3-2-1_50HQK_2020-12-04_final.stac-item
2020-12-24 11:47:01	ga_s2am_ard_3-2-1_50HPH_2020-12-24_final.stac-item
2021-01-13 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-01-13_final.stac-item
2021-01-29 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-01-29_final.stac-item
2021-02-12 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2021-02-12_final.stac-item
2021-03-30 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2021-03-30_final.stac-item
2021-04-19 12:05:11	ga_s2am_ard_3-2-1_49JGL_2021-04-19_final.stac-item
2021-04-19 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2021-04-19_final.stac-item
2021-04-29 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2021-04-29_final.stac-item
2021-05-09 12:05:37	ga_s2am_ard_3-2-1_50JLP_2021-05-09_final.stac-item
2021-06-15 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-06-15_final.stac-item
2021-06-18 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-06-18_final.stac-item
2021-06-28 12:04:44	ga_s2am_ard_3-2-1_50JKT_2021-06-28_final.stac-item
2021-07-08 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2021-07-08_final.stac-item
2021-07-18 12:05:46	ga_s2am_ard_3-2-1_50JLP_2021-07-18_final.stac-item
2021-07-31 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-31_final.stac-item
2021-08-28 11:36:36	ga_s2am_ard_3-2-1_50HQK_2021-08-28_final.stac-item
2021-09-03 11:55:43	ga_s2am_ard_3-2-1_50JLP_2021-09-03_final.stac-item
2021-10-03 11:57:10	ga_s2am_ard_3-2-1_50HMH_2021-10-03_final.stac-item
2021-10-06 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2021-10-06_final.stac-item
2021-10-30 11:47:14	ga_s2am_ard_3-2-1_50HMH_2021-10-30_final.stac-item
2021-11-15 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-11-15_final.stac-item
2021-11-29 11:46:33	ga_s2am_ard_3-2-1_50HPK_2021-11-29_final.stac-item
2021-12-19 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-12-19_final
2022-01-14 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2022-01-14_final.stac-item
2022-03-09 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-03-09_final.stac-item
2022-03-12 11:55:46	ga_s2am_ard_3-2-1_50JLP_2022-03-12_final.stac-item
2022-04-14 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2022-04-14_final.stac-item
2022-09-01 12:05:50	ga_s2am_ard_3-2-1_50JLP_2022-09-01_final.stac-item
2022-11-07 11:56:34	ga_s2am_ard_3-2-1_50HNK_2022-11-07_final.stac-item
2022-11-24 11:46:33	ga_s2am_ard_3-2-1_50HPK_2022-11-24_final.stac-item
2023-02-02 11:47:10	ga_s2am_ard_3-2-1_50HLH_2023-02-02_final
2023-03-07 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-03-07_final
2023-04-19 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-04-19_final
2023-08-24 11:56:42	ga_s2am_ard_3-2-1_50HMK_2023-08-24_final
2023-08-24 11:56:46	ga_s2am_ard_3-2-1_50HLK_2023-08-24_final
2023-11-06 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-11-06_final
2023-11-12 11:56:36	ga_s2am_ard_3-2-1_50HMK_2023-11-12_final
2023-12-09 11:47:09	ga_s2am_ard_3-2-1_50HLH_2023-12-09_final
2023-12-15 12:04:24	ga_s2am_ard_3-2-1_49KHP_2023-12-15_final
2024-01-14 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2024-01-14_final
2024-01-21 11:56:32	ga_s2am_ard_3-2-1_50HLK_2024-01-21_final
2024-02-07 11:46:31	ga_s2am_ard_3-2-1_50HMK_2024-02-07_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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