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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLP_2015-12-17_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JLM_2016-01-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JLR_2016-03-16_final.stac-item
2016-04-22 11:56:28	ga_s2am_ard_3-2-1_50HMK_2016-04-22_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JFN_2016-05-08_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50HMK_2016-07-21_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50HMH_2016-08-10_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JLT_2016-08-10_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHS_2016-08-23_final
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HLG_2016-11-05_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50HNG_2016-12-15_final
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-01-03_final.stac-item
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-04-13_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HNG_2017-04-14_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JLM_2017-07-16_final.stac-item
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JLQ_2017-07-16_final.stac-item
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50HMK_2017-08-15_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHP_2018-01-05_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KHR_2018-01-05_final.stac-item
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KGQ_2018-01-08_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-02-27_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-02-27_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-03-06_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGL_2018-03-09_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JML_2018-06-28_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JML_2018-07-01_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HQH_2018-07-08_final.stac-item
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMK_2018-07-18_final.stac-item
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JLL_2018-07-21_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-08-06_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2018-08-06_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JML_2018-08-20_final.stac-item
2018-12-14 12:13:46	ga_s2am_ard_3-2-1_49KHR_2018-12-14_final.stac-item
2019-01-04 11:46:20	ga_s2am_ard_3-2-1_50JML_2019-01-04_final.stac-item
2019-01-07 11:55:22	ga_s2am_ard_3-2-1_50JLQ_2019-01-07_final.stac-item
2019-01-07 11:56:06	ga_s2am_ard_3-2-1_50JLM_2019-01-07_final.stac-item
2019-03-04 12:13:49	ga_s2am_ard_3-2-1_49KHR_2019-03-04_final.stac-item
2019-06-03 11:46:43	ga_s2am_ard_3-2-1_50HMK_2019-06-03_final.stac-item
2019-06-30 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2019-06-30_final.stac-item
2019-08-12 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-08-12_final.stac-item
2019-08-15 11:55:16	ga_s2am_ard_3-2-1_50JLR_2019-08-15_final.stac-item
2019-08-18 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-08-18_final.stac-item
2019-11-06 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-11-06_final.stac-item
2019-11-23 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2019-11-23_final.stac-item
2020-01-08 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-08_final.stac-item
2020-03-05 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-03-05_final.stac-item
2020-05-21 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-05-21_final.stac-item
2020-05-31 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-05-31_final.stac-item
2020-06-07 11:47:02	ga_s2am_ard_3-2-1_50HMJ_2020-06-07_final.stac-item
2020-06-30 11:56:27	ga_s2am_ard_3-2-1_50JML_2020-06-30_final.stac-item
2020-07-03 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-07-03_final.stac-item
2020-07-07 11:46:45	ga_s2am_ard_3-2-1_50HMK_2020-07-07_final.stac-item
2020-07-13 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2020-07-13_final.stac-item
2020-08-12 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-08-12_final.stac-item
2020-08-12 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-08-12_final.stac-item
2020-08-26 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-08-26_final.stac-item
2020-11-10 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-11-10_final.stac-item
2020-11-17 11:54:47	ga_s2am_ard_3-2-1_50JLT_2020-11-17_final.stac-item
2020-11-21 11:37:09	ga_s2am_ard_3-2-1_50HPH_2020-11-21_final.stac-item
2020-12-23 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2020-12-23_final.stac-item
2020-12-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2020-12-23_final.stac-item
2020-12-27 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2020-12-27_final.stac-item
2021-01-02 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-01-02_final.stac-item
2021-01-10 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-01-10_final.stac-item
2021-02-18 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-02-18_final
2021-02-22 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-02-22_final
2021-03-03 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-03-03_final.stac-item
2021-03-07 11:54:58	ga_s2am_ard_3-2-1_50JLS_2021-03-07_final.stac-item
2021-03-10 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-03-10_final.stac-item
2021-03-10 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-03-10_final.stac-item
2021-03-10 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-03-10_final.stac-item
2021-03-10 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-03-10_final.stac-item
2021-03-11 11:37:11	ga_s2am_ard_3-2-1_50HQH_2021-03-11_final.stac-item
2021-04-30 11:37:24	ga_s2am_ard_3-2-1_50HNG_2021-04-30_final
2021-05-09 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-05-09_final.stac-item
2021-05-16 11:55:42	ga_s2am_ard_3-2-1_50JLP_2021-05-16_final.stac-item
2021-06-02 11:47:18	ga_s2am_ard_3-2-1_50HPG_2021-06-02_final
2021-06-25 11:57:13	ga_s2am_ard_3-2-1_50HMH_2021-06-25_final.stac-item
2021-06-29 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-06-29_final.stac-item
2021-07-09 11:37:14	ga_s2am_ard_3-2-1_50HQG_2021-07-09_final
2021-08-17 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-08-17_final.stac-item
2021-08-21 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-08-21_final
2021-10-30 11:47:32	ga_s2am_ard_3-2-1_50HLG_2021-10-30_final
2021-12-08 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-12-08_final.stac-item
2021-12-16 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-12-16_final.stac-item
2021-12-19 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-12-19_final
2021-12-22 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-12-22_final
2021-12-26 11:37:08	ga_s2am_ard_3-2-1_50HPH_2021-12-26_final.stac-item
2022-05-25 11:37:14	ga_s2am_ard_3-2-1_50HPH_2022-05-25_final.stac-item
2022-06-04 11:37:14	ga_s2am_ard_3-2-1_50HPH_2022-06-04_final.stac-item
2022-08-26 11:47:29	ga_s2am_ard_3-2-1_50HPG_2022-08-26_final
2022-11-24 11:46:53	ga_s2am_ard_3-2-1_50HQH_2022-11-24_final.stac-item
2023-02-22 11:47:14	ga_s2am_ard_3-2-1_50HPG_2023-02-22_final
2023-03-10 12:04:29	ga_s2am_ard_3-2-1_50JKT_2023-03-10_final
2023-07-22 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-07-22_final
2023-08-21 11:47:27	ga_s2am_ard_3-2-1_50HNG_2023-08-21_final
2023-12-12 11:57:17	ga_s2am_ard_3-2-1_50HLG_2023-12-12_final
2024-01-08 11:47:22	ga_s2am_ard_3-2-1_50HLG_2024-01-08_final
2024-01-15 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-15_final
2024-02-17 11:47:22	ga_s2am_ard_3-2-1_50HMG_2024-02-17_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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