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 12:14:44	ga_s2am_ard_3-2-1_49JGN_2015-10-01_final.stac-item
2015-11-27 12:03:46	ga_s2am_ard_3-2-1_49KHR_2015-11-27_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JHM_2015-12-07_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JGN_2016-05-18_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGM_2016-06-24_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49KHS_2016-08-23_final
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49JGM_2016-11-24_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HLH_2016-11-28_final.stac-item
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGL_2017-05-23_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGM_2017-05-30_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HMJ_2017-06-13_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KGP_2017-07-09_final.stac-item
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLH_2017-09-14_final.stac-item
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HMH_2017-09-14_final.stac-item
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JGM_2017-09-30_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49KGQ_2017-10-07_final.stac-item
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-10-10_final.stac-item
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JGL_2017-11-16_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHP_2017-12-19_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-02-24_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-03-06_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49KHR_2018-03-26_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMJ_2018-05-19_final.stac-item
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGM_2018-05-28_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50HLJ_2018-07-01_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-07-17_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JHM_2018-08-13_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLK_2018-08-20_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HMJ_2018-08-27_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JHM_2018-09-02_final.stac-item
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HLK_2018-09-09_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KHP_2018-10-12_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-15_final.stac-item
2018-11-18 11:56:34	ga_s2am_ard_3-2-1_50HLK_2018-11-18_final.stac-item
2019-01-20 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-01-20_final.stac-item
2019-03-31 12:05:29	ga_s2am_ard_3-2-1_49JGK_2019-03-31_final.stac-item
2019-05-07 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-05-07_final.stac-item
2019-07-12 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-12_final.stac-item
2019-09-10 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-09-10_final.stac-item
2019-10-20 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-10-20_final.stac-item
2019-12-09 12:15:06	ga_s2am_ard_3-2-1_49JGL_2019-12-09_final.stac-item
2020-01-08 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2020-01-08_final.stac-item
2020-03-25 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-03-25_final.stac-item
2020-04-11 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2020-04-11_final.stac-item
2020-05-17 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-05-17_final.stac-item
2020-05-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-05-28_final.stac-item
2020-08-02 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-08-02_final.stac-item
2020-12-03 12:14:55	ga_s2am_ard_3-2-1_49JGM_2020-12-03_final.stac-item
2020-12-30 12:04:57	ga_s2am_ard_3-2-1_49JHM_2020-12-30_final.stac-item
2021-01-02 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-01-02_final.stac-item
2021-01-12 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-12_final.stac-item
2021-01-12 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-01-12_final.stac-item
2021-02-05 11:56:40	ga_s2am_ard_3-2-1_50HLK_2021-02-05_final.stac-item
2021-02-18 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-02-18_final.stac-item
2021-02-28 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-02-28_final.stac-item
2021-04-19 12:04:55	ga_s2am_ard_3-2-1_49JGM_2021-04-19_final.stac-item
2021-04-22 12:14:22	ga_s2am_ard_3-2-1_49KGP_2021-04-22_final.stac-item
2021-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-05-12_final.stac-item
2021-05-22 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-05-22_final.stac-item
2021-05-22 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-05-22_final.stac-item
2021-06-02 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-06-02_final.stac-item
2021-06-28 12:04:44	ga_s2am_ard_3-2-1_49JHN_2021-06-28_final.stac-item
2021-07-01 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-07-01_final.stac-item
2021-07-28 12:04:26	ga_s2am_ard_3-2-1_49KHP_2021-07-28_final.stac-item
2021-08-11 11:47:12	ga_s2am_ard_3-2-1_50HMH_2021-08-11_final.stac-item
2021-10-03 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-10-03_final.stac-item
2021-10-16 12:04:04	ga_s2am_ard_3-2-1_49KHR_2021-10-16_final.stac-item
2021-10-26 12:04:04	ga_s2am_ard_3-2-1_49KHR_2021-10-26_final.stac-item
2021-11-15 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-11-15_final.stac-item
2021-11-25 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-11-25_final
2021-12-05 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-12-05_final.stac-item
2022-01-14 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-01-14_final.stac-item
2022-01-24 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-01-24_final.stac-item
2022-02-06 12:13:54	ga_s2am_ard_3-2-1_49KHR_2022-02-06_final.stac-item
2022-03-08 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-03-08_final.stac-item
2022-09-01 12:05:09	ga_s2am_ard_3-2-1_49JHM_2022-09-01_final.stac-item
2022-09-18 11:57:00	ga_s2am_ard_3-2-1_50HMJ_2022-09-18_final.stac-item
2022-10-11 12:04:05	ga_s2am_ard_3-2-1_49KHR_2022-10-11_final.stac-item
2022-11-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-11-30_final.stac-item
2022-12-14 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2022-12-14_final.stac-item
2022-12-23 12:14:25	ga_s2am_ard_3-2-1_49KGP_2022-12-23_final.stac-item
2023-01-02 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-01-02_final.stac-item
2023-01-12 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-01-12_final.stac-item
2023-01-22 12:13:50	ga_s2am_ard_3-2-1_49KHR_2023-01-22_final.stac-item
2023-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-02-12_nrt.stac-item
2023-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-02-12_final
2023-02-21 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-02-21_nrt.stac-item
2023-02-21 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-02-21_final
2023-04-06 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-04-06_final
2023-07-31 12:15:05	ga_s2am_ard_3-2-1_49JFM_2023-07-31_final
2023-10-06 12:05:30	ga_s2am_ard_3-2-1_49JGK_2023-10-06_final
2023-10-09 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-10-09_final
2023-11-08 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-11-08_final
2023-11-15 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-11-15_final
2023-11-18 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-11-18_final
2024-01-07 12:13:50	ga_s2am_ard_3-2-1_49KHR_2024-01-07_final
2024-01-07 12:15:06	ga_s2am_ard_3-2-1_49JGL_2024-01-07_final
2024-01-17 12:14:04	ga_s2am_ard_3-2-1_49KGQ_2024-01-17_final
2024-03-28 11:47:10	ga_s2am_ard_3-2-1_50HMH_2024-03-28_final
2024-03-28 11:47:14	ga_s2am_ard_3-2-1_50HLH_2024-03-28_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

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