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
2015-10-01 12:13:46	ga_s2am_ard_3-2-1_49KHR_2015-10-01_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JHN_2015-10-28_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGN_2015-11-30_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGK_2016-02-15_final.stac-item
2016-03-29 12:13:41	ga_s2am_ard_3-2-1_49KGR_2016-03-29_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHN_2016-09-12_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JHM_2016-09-22_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-10-12_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50HMK_2016-10-19_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49JHM_2016-12-01_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JGL_2017-03-31_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JHN_2017-03-31_final.stac-item
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49KHQ_2017-03-31_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGN_2017-04-30_final.stac-item
2017-05-20 12:03:50	ga_s2am_ard_3-2-1_49KHR_2017-05-20_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGL_2017-05-30_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KHQ_2017-05-30_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHR_2017-06-22_final.stac-item
2017-07-19 12:04:43	ga_s2am_ard_3-2-1_49JHM_2017-07-19_final.stac-item
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMK_2018-02-11_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49KGP_2018-04-05_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HMK_2018-04-09_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGL_2018-05-05_final.stac-item
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KGR_2018-07-07_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JHN_2018-09-02_final.stac-item
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2018-09-25_final.stac-item
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JGL_2018-09-25_final.stac-item
2018-12-18 11:56:28	ga_s2am_ard_3-2-1_50HMK_2018-12-18_final.stac-item
2019-01-07 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-01-07_final.stac-item
2019-01-13 12:14:37	ga_s2am_ard_3-2-1_49JGN_2019-01-13_final.stac-item
2019-01-14 11:46:36	ga_s2am_ard_3-2-1_50HMK_2019-01-14_final.stac-item
2019-02-09 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-02-09_final.stac-item
2019-02-22 12:14:27	ga_s2am_ard_3-2-1_49JHN_2019-02-22_final.stac-item
2019-03-15 11:47:07	ga_s2am_ard_3-2-1_50HLH_2019-03-15_final.stac-item
2019-03-31 12:04:28	ga_s2am_ard_3-2-1_49KHP_2019-03-31_final.stac-item
2019-07-02 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-02_final.stac-item
2019-07-29 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2019-07-29_final.stac-item
2019-09-04 11:57:06	ga_s2am_ard_3-2-1_50HMH_2019-09-04_final.stac-item
2019-09-10 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2019-09-10_final.stac-item
2019-10-10 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-10-10_final.stac-item
2019-10-10 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-10-10_final.stac-item
2019-10-10 12:14:29	ga_s2am_ard_3-2-1_49KGP_2019-10-10_final.stac-item
2019-11-20 11:46:42	ga_s2am_ard_3-2-1_50HMK_2019-11-20_final.stac-item
2019-12-13 11:56:32	ga_s2am_ard_3-2-1_50HMK_2019-12-13_final.stac-item
2020-02-17 12:15:04	ga_s2am_ard_3-2-1_49JGL_2020-02-17_final.stac-item
2020-04-01 11:56:36	ga_s2am_ard_3-2-1_50HLK_2020-04-01_final.stac-item
2020-04-07 12:14:18	ga_s2am_ard_3-2-1_49KHP_2020-04-07_final.stac-item
2020-04-24 12:05:16	ga_s2am_ard_3-2-1_49JGL_2020-04-24_final.stac-item
2020-05-07 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-05-07_final.stac-item
2020-06-03 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-06-03_final.stac-item
2020-06-06 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-06-06_final.stac-item
2020-06-10 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-06-10_final.stac-item
2020-06-10 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-06-10_final.stac-item
2020-06-23 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-06-23_final.stac-item
2020-07-16 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-07-16_final.stac-item
2020-09-04 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-09-04_final.stac-item
2020-09-15 11:47:18	ga_s2am_ard_3-2-1_50HLH_2020-09-15_final.stac-item
2020-09-18 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2020-09-18_final.stac-item
2020-10-05 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-10-05_final.stac-item
2020-10-18 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-10-18_final.stac-item
2020-10-28 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-10-28_final.stac-item
2021-02-05 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-02-05_final.stac-item
2021-03-04 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-03-04_final.stac-item
2021-04-02 12:13:51	ga_s2am_ard_3-2-1_49KHR_2021-04-02_final.stac-item
2021-04-02 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-04-02_final.stac-item
2021-04-03 11:46:37	ga_s2am_ard_3-2-1_50HMK_2021-04-03_final.stac-item
2021-04-22 12:14:27	ga_s2am_ard_3-2-1_49JHN_2021-04-22_final.stac-item
2021-06-11 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-06-11_final.stac-item
2021-06-18 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-06-18_final.stac-item
2021-07-18 12:05:33	ga_s2am_ard_3-2-1_49JGK_2021-07-18_final.stac-item
2021-07-31 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-07-31_final.stac-item
2021-09-16 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-09-16_final.stac-item
2021-09-16 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-09-16_final.stac-item
2021-09-23 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2021-09-23_final.stac-item
2021-09-26 12:04:50	ga_s2am_ard_3-2-1_49JGN_2021-09-26_final.stac-item
2022-01-01 11:56:38	ga_s2am_ard_3-2-1_50HMK_2022-01-01_final.stac-item
2022-02-20 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2022-02-20_final.stac-item
2022-03-09 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2022-03-09_final.stac-item
2022-04-04 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2022-04-04_final.stac-item
2022-04-21 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2022-04-21_final.stac-item
2022-05-21 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2022-05-21_final.stac-item
2022-05-21 11:57:12	ga_s2am_ard_3-2-1_50HMH_2022-05-21_final.stac-item
2022-06-13 12:05:25	ga_s2am_ard_3-2-1_49JGL_2022-06-13_final.stac-item
2022-08-05 12:14:24	ga_s2am_ard_3-2-1_49KGQ_2022-08-05_final.stac-item
2022-09-01 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-09-01_final.stac-item
2022-09-18 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2022-09-18_final.stac-item
2022-10-05 13:21:51	ga_s2am_ard_3-2-1_47LKG_2022-10-05_interim
2022-12-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2022-12-27_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_49KHS_2023-01-29_final
2023-02-08 12:05:07	ga_s2am_ard_3-2-1_49JFM_2023-02-08_final
2023-03-14 11:47:11	ga_s2am_ard_3-2-1_50HLH_2023-03-14_final
2023-04-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-04-12_final
2023-04-22 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-04-22_final
2023-10-09 12:14:41	ga_s2am_ard_3-2-1_49JGN_2023-10-09_final
2023-10-19 12:14:26	ga_s2am_ard_3-2-1_49KGP_2023-10-19_final
2023-11-22 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-11-22_final
2023-11-25 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-11-25_final
2023-11-28 12:14:20	ga_s2am_ard_3-2-1_49KGP_2023-11-28_final
2023-11-29 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2023-11-29_final
2024-03-27 12:13:55	ga_s2am_ard_3-2-1_49KHR_2024-03-27_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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