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
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JGL_2015-11-20_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JGM_2015-12-27_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HNG_2016-02-19_final
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HQH_2016-11-12_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49JGM_2016-11-24_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KHR_2016-11-24_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HNH_2016-12-05_final.stac-item
2017-01-13 12:14:33	ga_s2am_ard_3-2-1_49JGM_2017-01-13_final.stac-item
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HPH_2017-07-10_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HMK_2017-07-23_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMK_2017-12-03_final.stac-item
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMK_2018-02-08_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-02-24_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGN_2018-03-16_final.stac-item
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-03-19_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-03-26_final.stac-item
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JKN_2018-04-12_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JKP_2018-05-15_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHR_2018-06-24_final.stac-item
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HQJ_2018-06-25_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-04_final.stac-item
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HQH_2018-07-05_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HPH_2018-07-28_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-09-06_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HPJ_2018-09-06_final.stac-item
2019-01-03 12:15:05	ga_s2am_ard_3-2-1_49JGL_2019-01-03_final.stac-item
2019-04-14 11:46:45	ga_s2am_ard_3-2-1_50HNK_2019-04-14_final.stac-item
2019-06-06 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-06-06_final.stac-item
2019-06-06 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-06-06_final.stac-item
2019-07-02 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-07-02_final.stac-item
2019-07-26 11:56:04	ga_s2am_ard_3-2-1_50JKN_2019-07-26_final.stac-item
2019-11-20 11:46:35	ga_s2am_ard_3-2-1_50HPK_2019-11-20_final.stac-item
2019-11-26 12:05:15	ga_s2am_ard_3-2-1_49JGL_2019-11-26_final.stac-item
2019-12-16 12:04:55	ga_s2am_ard_3-2-1_49JGM_2019-12-16_final.stac-item
2019-12-16 12:05:50	ga_s2am_ard_3-2-1_50JKN_2019-12-16_final.stac-item
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final.stac-item
2020-02-21 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-02-21_final.stac-item
2020-02-21 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-02-21_final.stac-item
2020-02-24 12:05:10	ga_s2am_ard_3-2-1_49JGL_2020-02-24_final.stac-item
2020-02-24 12:05:50	ga_s2am_ard_3-2-1_50JKN_2020-02-24_final.stac-item
2020-02-28 11:47:05	ga_s2am_ard_3-2-1_50HMH_2020-02-28_final.stac-item
2020-03-18 12:14:38	ga_s2am_ard_3-2-1_49JGN_2020-03-18_final.stac-item
2020-04-14 12:04:30	ga_s2am_ard_3-2-1_49KGP_2020-04-14_final.stac-item
2020-04-27 12:14:58	ga_s2am_ard_3-2-1_49JGM_2020-04-27_final.stac-item
2020-07-10 11:56:34	ga_s2am_ard_3-2-1_50HNK_2020-07-10_final.stac-item
2020-07-13 12:04:50	ga_s2am_ard_3-2-1_49JGN_2020-07-13_final.stac-item
2020-09-05 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-09-05_final.stac-item
2020-12-04 11:47:08	ga_s2am_ard_3-2-1_50HMH_2020-12-04_final.stac-item
2020-12-10 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-12-10_final.stac-item
2020-12-10 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-12-10_final.stac-item
2020-12-13 12:14:57	ga_s2am_ard_3-2-1_49JFM_2020-12-13_final.stac-item
2020-12-30 12:05:55	ga_s2am_ard_3-2-1_50JKN_2020-12-30_final.stac-item
2021-01-02 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-01-02_final.stac-item
2021-02-18 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-02-18_final.stac-item
2021-03-10 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-03-10_final.stac-item
2021-04-03 11:47:11	ga_s2am_ard_3-2-1_50HLH_2021-04-03_final.stac-item
2021-04-12 12:14:36	ga_s2am_ard_3-2-1_49JGN_2021-04-12_final.stac-item
2021-04-13 11:46:32	ga_s2am_ard_3-2-1_50HNK_2021-04-13_final.stac-item
2021-04-13 11:46:57	ga_s2am_ard_3-2-1_50HPH_2021-04-13_final.stac-item
2021-04-20 11:37:02	ga_s2am_ard_3-2-1_50HPH_2021-04-20_final.stac-item
2021-04-23 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2021-04-23_final.stac-item
2021-05-03 11:46:46	ga_s2am_ard_3-2-1_50HPJ_2021-05-03_final.stac-item
2021-05-13 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2021-05-13_final.stac-item
2021-06-01 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-01_final.stac-item
2021-06-21 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-21_final.stac-item
2021-06-22 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-06-22_final
2021-08-17 12:05:58	ga_s2am_ard_3-2-1_50JKN_2021-08-17_final.stac-item
2021-09-10 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-09-10_final.stac-item
2021-09-16 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-09-16_final.stac-item
2021-10-26 12:05:34	ga_s2am_ard_3-2-1_49JGK_2021-10-26_final.stac-item
2021-11-19 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-11-19_final.stac-item
2021-11-22 11:55:59	ga_s2am_ard_3-2-1_50JKN_2021-11-22_final.stac-item
2022-01-11 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2022-01-11_final.stac-item
2022-02-03 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-02-03_final.stac-item
2022-05-15 11:37:11	ga_s2am_ard_3-2-1_50HPH_2022-05-15_final.stac-item
2022-06-07 11:46:51	ga_s2am_ard_3-2-1_50HQJ_2022-06-07_final.stac-item
2022-07-14 11:36:46	ga_s2am_ard_3-2-1_50HQK_2022-07-14_final.stac-item
2022-09-01 12:04:43	ga_s2am_ard_3-2-1_49KGP_2022-09-01_final.stac-item
2022-09-24 12:15:17	ga_s2am_ard_3-2-1_49JGL_2022-09-24_final.stac-item
2022-10-24 12:15:12	ga_s2am_ard_3-2-1_49JGL_2022-10-24_final.stac-item
2022-11-03 12:14:02	ga_s2am_ard_3-2-1_49KGR_2022-11-03_final.stac-item
2022-11-17 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-11-17_final.stac-item
2022-12-03 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-12-03_final.stac-item
2023-02-18 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-02-18_nrt.stac-item
2023-02-18 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-02-18_final
2023-05-20 11:36:56	ga_s2am_ard_3-2-1_50HQJ_2023-05-20_final
2023-08-11 11:47:07	ga_s2am_ard_3-2-1_50HPH_2023-08-11_final
2023-08-30 12:15:01	ga_s2am_ard_3-2-1_49JGM_2023-08-30_final
2023-12-22 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2023-12-22_final
2024-01-11 11:56:25	ga_s2am_ard_3-2-1_50HNK_2024-01-11_final
2024-01-24 12:05:23	ga_s2am_ard_3-2-1_49JGK_2024-01-24_final
2024-02-06 12:14:56	ga_s2am_ard_3-2-1_49JFM_2024-02-06_final
2024-02-13 12:03:42	ga_s2am_ard_3-2-1_49KHS_2024-02-13_final
2024-02-13 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-13_final
2024-02-13 12:05:47	ga_s2am_ard_3-2-1_50JKN_2024-02-13_final
2024-02-23 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2024-02-23_final
2024-02-27 11:46:37	ga_s2am_ard_3-2-1_50HNK_2024-02-27_final
2024-04-13 12:05:02	ga_s2am_ard_3-2-1_49JGM_2024-04-13_final
2024-04-20 11:56:33	ga_s2am_ard_3-2-1_50HNK_2024-04-20_final
2024-05-10 11:56:32	ga_s2am_ard_3-2-1_50HNK_2024-05-10_nrt

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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