Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JGL_2016-05-18_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGH_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGJ_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGK_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGL_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JHM_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JHN_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49KHP_2016-06-04_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49JGH_2017-02-09_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49JHN_2017-02-09_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49KHP_2017-02-09_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JGH_2018-06-04_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JGJ_2018-06-04_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JHM_2018-06-04_final
2018-06-07 12:13:28	ga_s2am_ard_3-2-1_49KGR_2018-06-07_final
2019-03-04 12:14:51	ga_s2am_ard_3-2-1_49JGM_2019-03-04_final
2019-03-04 12:15:05	ga_s2am_ard_3-2-1_49JGL_2019-03-04_final
2019-07-26 11:57:14	ga_s2am_ard_3-2-1_50HLH_2019-07-26_final
2020-05-24 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-05-24_final
2020-05-24 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-05-24_final
2020-05-24 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-05-24_final
2020-05-24 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-05-24_final
2020-05-24 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-05-24_final
2020-05-24 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-05-24_final
2020-05-24 12:06:04	ga_s2am_ard_3-2-1_49JGH_2020-05-24_final.stac-item
2020-08-22 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-08-22_final
2020-08-22 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-08-22_final
2020-08-22 12:06:04	ga_s2am_ard_3-2-1_49JGH_2020-08-22_final.stac-item
2020-09-24 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-09-24_final
2020-09-24 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-09-24_final
2020-09-24 12:14:36	ga_s2am_ard_3-2-1_49JHN_2020-09-24_final
2021-06-08 12:05:59	ga_s2am_ard_3-2-1_49JGH_2021-06-08_final.stac-item
2021-10-19 12:14:36	ga_s2am_ard_3-2-1_49JHN_2021-10-19_final
2022-03-25 12:05:18	ga_s2am_ard_3-2-1_49JGL_2022-03-25_final
2022-03-25 12:05:32	ga_s2am_ard_3-2-1_49JGK_2022-03-25_final
2022-03-25 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2022-03-25_final
2022-07-07 11:47:27	ga_s2am_ard_3-2-1_50HLH_2022-07-07_final
2022-09-01 12:05:31	ga_s2am_ard_3-2-1_49JFL_2022-09-01_final.stac-item
2022-09-04 12:14:43	ga_s2am_ard_3-2-1_49JHN_2022-09-04_final.stac-item
2022-09-27 14:13:45	ga_s2am_ard_3-2-1_43FDB_2022-09-27_final.stac-item
2022-09-27 14:13:47	ga_s2am_ard_3-2-1_43FCB_2022-09-27_final.stac-item
2022-09-27 14:13:51	ga_s2am_ard_3-2-1_43FDA_2022-09-27_interim.stac-item
2022-09-27 14:13:53	ga_s2am_ard_3-2-1_43FCA_2022-09-27_interim.stac-item
2022-09-30 14:23:44	ga_s2am_ard_3-2-1_43FCB_2022-09-30_interim.stac-item
2022-09-30 14:23:50	ga_s2am_ard_3-2-1_43FCA_2022-09-30_interim.stac-item
2022-11-19 14:23:38	ga_s2am_ard_3-2-1_43FCB_2022-11-19_final.stac-item
2022-11-19 14:23:44	ga_s2am_ard_3-2-1_43FCA_2022-11-19_interim.stac-item
2022-12-16 14:13:37	ga_s2am_ard_3-2-1_43FDB_2022-12-16_final.stac-item
2022-12-16 14:13:39	ga_s2am_ard_3-2-1_43FCB_2022-12-16_final.stac-item
2022-12-16 14:13:43	ga_s2am_ard_3-2-1_43FDA_2022-12-16_interim.stac-item
2023-01-25 14:13:35	ga_s2am_ard_3-2-1_43FDB_2023-01-25_final.stac-item
2023-01-25 14:13:37	ga_s2am_ard_3-2-1_43FCB_2023-01-25_final.stac-item
2023-01-25 14:13:41	ga_s2am_ard_3-2-1_43FDA_2023-01-25_interim.stac-item
2023-01-25 14:13:43	ga_s2am_ard_3-2-1_43FCA_2023-01-25_interim.stac-item
2023-02-04 14:13:36	ga_s2am_ard_3-2-1_43FDB_2023-02-04_final.stac-item
2023-02-04 14:13:38	ga_s2am_ard_3-2-1_43FCB_2023-02-04_final.stac-item
2023-03-16 14:13:37	ga_s2am_ard_3-2-1_43FCB_2023-03-16_final.stac-item
2023-03-26 14:13:38	ga_s2am_ard_3-2-1_43FCB_2023-03-26_final.stac-item
2023-03-30 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-03-30_final.stac-item
2023-04-19 12:06:28	ga_s2am_ard_3-2-1_50HKK_2023-04-19_nrt.stac-item
2023-04-23 11:47:32	ga_s2am_ard_3-2-1_50HLF_2023-04-23_nrt.stac-item
2023-05-03 11:47:33	ga_s2am_ard_3-2-1_50HLF_2023-05-03_nrt.stac-item
2023-05-19 12:06:31	ga_s2am_ard_3-2-1_50HKK_2023-05-19_nrt.stac-item
2023-06-05 11:57:13	ga_s2am_ard_3-2-1_50HLH_2023-06-05_final.stac-item
2023-06-05 11:57:26	ga_s2am_ard_3-2-1_50HLG_2023-06-05_final.stac-item
2023-06-05 11:57:32	ga_s2am_ard_3-2-1_50HLF_2023-06-05_nrt.stac-item
2023-06-18 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2023-06-18_final.stac-item
2023-06-18 12:04:47	ga_s2am_ard_3-2-1_49JHN_2023-06-18_final.stac-item
2023-06-18 12:05:12	ga_s2am_ard_3-2-1_49JFM_2023-06-18_final.stac-item
2023-06-18 12:05:19	ga_s2am_ard_3-2-1_49JGL_2023-06-18_final.stac-item
2023-06-18 12:05:23	ga_s2am_ard_3-2-1_49JFL_2023-06-18_final.stac-item
2023-06-18 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2023-06-18_final.stac-item
2023-07-11 12:14:07	ga_s2am_ard_3-2-1_49KFR_2023-07-11_nrt.stac-item
2023-07-25 11:57:03	ga_s2am_ard_3-2-1_50HKJ_2023-07-25_nrt.stac-item
2023-07-25 11:57:05	ga_s2am_ard_3-2-1_49HGD_2023-07-25_nrt.stac-item
2023-07-25 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-07-25_final.stac-item
2023-07-25 11:57:17	ga_s2am_ard_3-2-1_50HKH_2023-07-25_nrt.stac-item
2023-07-25 11:57:33	ga_s2am_ard_3-2-1_50HLF_2023-07-25_nrt.stac-item
2023-07-31 12:14:07	ga_s2am_ard_3-2-1_49KFR_2023-07-31_nrt.stac-item
2023-08-01 11:47:38	ga_s2am_ard_3-2-1_50HLF_2023-08-01_nrt.stac-item
2023-08-20 12:14:37	ga_s2am_ard_3-2-1_49KFP_2023-08-20_nrt.stac-item
2023-08-30 12:13:53	ga_s2am_ard_3-2-1_49KFS_2023-08-30_nrt.stac-item
2023-08-30 12:14:07	ga_s2am_ard_3-2-1_49KFR_2023-08-30_nrt.stac-item
2023-08-30 12:14:22	ga_s2am_ard_3-2-1_49KFQ_2023-08-30_nrt.stac-item
2023-09-02 14:13:42	ga_s2am_ard_3-2-1_43FDB_2023-09-02_final.stac-item
2023-09-02 14:13:44	ga_s2am_ard_3-2-1_42FYG_2023-09-02_final.stac-item
2023-09-02 14:13:44	ga_s2am_ard_3-2-1_43FCB_2023-09-02_final.stac-item
2023-11-01 14:13:36	ga_s2am_ard_3-2-1_43FDB_2023-11-01_final.stac-item
2023-11-01 14:13:38	ga_s2am_ard_3-2-1_43FCB_2023-11-01_final.stac-item
2023-12-24 14:23:38	ga_s2am_ard_3-2-1_42FYF_2023-12-24_final.stac-item
2024-02-09 14:13:40	ga_s2am_ard_3-2-1_42FYF_2024-02-09_final.stac-item
2024-02-29 14:13:36	ga_s2am_ard_3-2-1_43FDB_2024-02-29_final.stac-item
2024-03-03 14:23:36	ga_s2am_ard_3-2-1_42FYG_2024-03-03_final.stac-item
2024-03-03 14:23:36	ga_s2am_ard_3-2-1_43FCB_2024-03-03_final.stac-item
2024-03-03 14:23:42	ga_s2am_ard_3-2-1_42FYF_2024-03-03_final.stac-item
2024-03-30 14:13:36	ga_s2am_ard_3-2-1_43FDB_2024-03-30_final.stac-item
2024-03-30 14:13:38	ga_s2am_ard_3-2-1_42FYG_2024-03-30_final.stac-item
2024-03-30 14:13:38	ga_s2am_ard_3-2-1_43FCB_2024-03-30_final.stac-item
2024-04-09 14:13:38	ga_s2am_ard_3-2-1_43FCB_2024-04-09_final.stac-item
2024-05-10 11:57:31	ga_s2am_ard_3-2-1_50HLF_2024-05-10_nrt.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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