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
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50HPG_2016-01-07_final
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JKP_2016-02-02_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_49KHQ_2016-09-25_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KHS_2016-10-05_final
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_50HQK_2016-10-13_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKR_2016-10-22_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPK_2016-11-12_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLH_2016-11-18_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMJ_2017-01-24_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50JKP_2017-04-27_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_50JKR_2017-06-09_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JHN_2017-09-27_final.stac-item
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JHN_2017-10-17_final.stac-item
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KHR_2017-11-19_final.stac-item
2017-12-29 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-12-29_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLJ_2018-01-12_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JFM_2018-03-09_final.stac-item
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGP_2018-03-09_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMJ_2018-03-10_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMJ_2018-03-20_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNH_2018-03-30_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HPK_2018-03-30_final.stac-item
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_50JKQ_2018-04-05_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGL_2018-05-05_final.stac-item
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_50HPK_2018-05-06_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMK_2018-05-19_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHR_2018-06-04_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKQ_2018-06-14_final.stac-item
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-06-17_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGM_2018-07-14_final.stac-item
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-17_final.stac-item
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_50HPK_2018-07-25_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKR_2018-08-23_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGM_2018-08-26_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JKS_2018-09-02_final.stac-item
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPJ_2018-09-03_final.stac-item
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGM_2018-09-05_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMJ_2018-09-06_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-10-02_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HPK_2018-10-16_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGN_2018-10-22_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-10-22_final.stac-item
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKS_2018-10-22_final.stac-item
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JKN_2018-10-29_final.stac-item
2018-11-28 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-11-28_final.stac-item
2018-12-01 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-01_final.stac-item
2018-12-11 12:05:32	ga_s2am_ard_3-2-1_50JKP_2018-12-11_final.stac-item
2018-12-21 12:05:03	ga_s2am_ard_3-2-1_50JKR_2018-12-21_final.stac-item
2019-01-04 11:46:44	ga_s2am_ard_3-2-1_50HNJ_2019-01-04_final.stac-item
2019-01-04 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2019-01-04_final.stac-item
2019-02-13 11:47:12	ga_s2am_ard_3-2-1_50HLH_2019-02-13_final.stac-item
2019-02-23 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-02-23_final.stac-item
2019-04-07 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-04-07_final.stac-item
2019-04-14 11:46:43	ga_s2am_ard_3-2-1_50HPJ_2019-04-14_final.stac-item
2019-07-26 11:56:04	ga_s2am_ard_3-2-1_50JKN_2019-07-26_final.stac-item
2019-08-31 12:13:59	ga_s2am_ard_3-2-1_49KGR_2019-08-31_final.stac-item
2019-09-11 11:46:39	ga_s2am_ard_3-2-1_50HMK_2019-09-11_final.stac-item
2019-09-14 11:56:39	ga_s2am_ard_3-2-1_50HLK_2019-09-14_final.stac-item
2019-09-27 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-09-27_final.stac-item
2019-10-14 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-10-14_final.stac-item
2019-10-31 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-10-31_final.stac-item
2020-01-09 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2020-01-09_final.stac-item
2020-04-04 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2020-04-04_final.stac-item
2020-04-28 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2020-04-28_final.stac-item
2020-07-03 12:06:00	ga_s2am_ard_3-2-1_50JKN_2020-07-03_final.stac-item
2020-08-12 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-08-12_final.stac-item
2020-10-25 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-10-25_final.stac-item
2020-11-10 12:05:45	ga_s2am_ard_3-2-1_50JKP_2020-11-10_final.stac-item
2020-12-17 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2020-12-17_final.stac-item
2020-12-27 11:56:29	ga_s2am_ard_3-2-1_50HNK_2020-12-27_final.stac-item
2021-01-12 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-01-12_final.stac-item
2021-01-16 11:56:15	ga_s2am_ard_3-2-1_50JKM_2021-01-16_final.stac-item
2021-01-26 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-26_final.stac-item
2021-03-07 11:55:46	ga_s2am_ard_3-2-1_50JKP_2021-03-07_final.stac-item
2021-03-17 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-03-17_final.stac-item
2021-04-03 11:46:27	ga_s2am_ard_3-2-1_50HQK_2021-04-03_final.stac-item
2021-04-16 11:57:00	ga_s2am_ard_3-2-1_50HMH_2021-04-16_final.stac-item
2021-04-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2021-04-22_final.stac-item
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final.stac-item
2021-05-06 11:57:04	ga_s2am_ard_3-2-1_50HMH_2021-05-06_final.stac-item
2021-05-09 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-05-09_final.stac-item
2021-06-11 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-06-11_final.stac-item
2021-06-18 12:04:57	ga_s2am_ard_3-2-1_50JKS_2021-06-18_final.stac-item
2021-06-25 11:55:48	ga_s2am_ard_3-2-1_50JKP_2021-06-25_final.stac-item
2021-07-01 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-07-01_final.stac-item
2021-07-28 12:05:44	ga_s2am_ard_3-2-1_50JKP_2021-07-28_final.stac-item
2021-08-01 11:47:13	ga_s2am_ard_3-2-1_50HMH_2021-08-01_final.stac-item
2021-08-10 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-10_final.stac-item
2021-09-16 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-09-16_final
2021-11-12 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-11-12_final.stac-item
2022-01-18 11:47:10	ga_s2am_ard_3-2-1_50HMH_2022-01-18_final.stac-item
2022-02-14 11:37:03	ga_s2am_ard_3-2-1_50HQH_2022-02-14_final.stac-item
2022-04-14 12:05:58	ga_s2am_ard_3-2-1_50JKN_2022-04-14_final.stac-item
2022-05-27 12:15:03	ga_s2am_ard_3-2-1_49JGM_2022-05-27_final.stac-item
2022-10-04 12:15:17	ga_s2am_ard_3-2-1_49JGL_2022-10-04_final.stac-item
2022-10-31 12:04:50	ga_s2am_ard_3-2-1_49JGN_2022-10-31_final.stac-item
2023-08-21 11:47:12	ga_s2am_ard_3-2-1_50HNH_2023-08-21_final
2023-10-03 11:55:53	ga_s2am_ard_3-2-1_50JKN_2023-10-03_final
2023-10-13 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-10-13_final
2024-02-07 11:47:10	ga_s2am_ard_3-2-1_50HLH_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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