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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50HMJ_2015-10-22_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HNK_2015-12-21_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHR_2016-01-09_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPJ_2016-06-05_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-02_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KGP_2016-11-01_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HPH_2016-11-22_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49KGR_2016-11-24_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JGN_2016-12-24_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HNH_2016-12-25_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHR_2017-01-20_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HQG_2017-03-12_final.stac-item
2017-03-24 12:13:37	ga_s2am_ard_3-2-1_49KGR_2017-03-24_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_50HPK_2017-05-31_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KGQ_2017-06-02_final
2017-06-12 12:14:42	ga_s2am_ard_3-2-1_49JGL_2017-06-12_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGN_2017-07-09_final
2017-08-31 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-08-31_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JHN_2017-10-17_final
2017-10-30 12:13:43	ga_s2am_ard_3-2-1_49KHR_2017-10-30_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HPH_2017-11-20_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KGP_2018-01-05_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-02-24_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49KHR_2018-03-16_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMK_2018-03-20_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HMJ_2018-04-09_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGL_2018-04-15_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49JGN_2018-05-08_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-07-04_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-07-07_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KGQ_2018-07-27_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KGP_2018-08-13_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HNG_2018-08-27_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HLH_2018-10-26_final
2018-12-11 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-11_final.stac-item
2018-12-25 11:47:17	ga_s2am_ard_3-2-1_50HMG_2018-12-25_final.stac-item
2019-02-13 11:47:02	ga_s2am_ard_3-2-1_50HNH_2019-02-13_final
2019-02-19 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2019-02-19_final
2019-02-26 11:57:01	ga_s2am_ard_3-2-1_50HMH_2019-02-26_final
2019-03-05 11:47:01	ga_s2am_ard_3-2-1_50HNH_2019-03-05_final
2019-03-28 11:56:29	ga_s2am_ard_3-2-1_50HNK_2019-03-28_final
2019-05-14 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2019-05-14_final
2019-05-24 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2019-05-24_final
2019-08-28 12:04:47	ga_s2am_ard_3-2-1_49JGN_2019-08-28_final
2019-10-07 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-10-07_final
2019-10-21 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-10-21_final
2019-11-27 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2019-11-27_final
2019-12-09 12:14:24	ga_s2am_ard_3-2-1_49KGP_2019-12-09_final
2019-12-26 12:05:09	ga_s2am_ard_3-2-1_49JGL_2019-12-26_final
2020-01-09 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2020-01-09_final
2020-02-15 11:36:42	ga_s2am_ard_3-2-1_50HQJ_2020-02-15_final
2020-03-02 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-03-02_final
2020-03-08 12:15:06	ga_s2am_ard_3-2-1_49JGL_2020-03-08_final
2020-04-08 11:46:35	ga_s2am_ard_3-2-1_50HNK_2020-04-08_final
2020-04-15 11:37:06	ga_s2am_ard_3-2-1_50HPH_2020-04-15_final
2020-05-08 11:47:06	ga_s2am_ard_3-2-1_50HPH_2020-05-08_final
2020-05-18 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-05-18_final
2020-05-28 11:47:30	ga_s2am_ard_3-2-1_50HMG_2020-05-28_final.stac-item
2020-06-03 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-06-03_final
2020-06-04 11:36:44	ga_s2am_ard_3-2-1_50HPK_2020-06-04_final
2020-06-04 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-06-04_final.stac-item
2020-06-23 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-06-23_final
2020-10-05 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-10-05_final
2020-12-23 12:14:20	ga_s2am_ard_3-2-1_49KHP_2020-12-23_final
2021-01-10 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-01-10_final.stac-item
2021-01-13 11:47:18	ga_s2am_ard_3-2-1_50HPG_2021-01-13_final.stac-item
2021-01-22 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-22_final
2021-03-27 11:57:21	ga_s2am_ard_3-2-1_50HLG_2021-03-27_final.stac-item
2021-04-30 11:37:18	ga_s2am_ard_3-2-1_50HPG_2021-04-30_final.stac-item
2021-05-23 11:47:03	ga_s2am_ard_3-2-1_50HPH_2021-05-23_final
2021-07-11 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-07-11_final
2021-12-09 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2021-12-09_final
2021-12-25 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-12-25_final
2022-01-18 11:46:38	ga_s2am_ard_3-2-1_50HNK_2022-01-18_final
2022-04-08 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2022-04-08_final
2022-04-14 12:05:32	ga_s2am_ard_3-2-1_49JGK_2022-04-14_final
2022-05-05 11:36:43	ga_s2am_ard_3-2-1_50HPK_2022-05-05_final
2022-05-28 11:46:41	ga_s2am_ard_3-2-1_50HPK_2022-05-28_final
2022-07-27 11:46:53	ga_s2am_ard_3-2-1_50HQJ_2022-07-27_final
2022-11-03 12:13:59	ga_s2am_ard_3-2-1_49KHR_2022-11-03_final.stac-item
2022-11-13 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-11-13_final.stac-item
2022-12-10 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2022-12-10_final.stac-item
2022-12-17 11:57:05	ga_s2am_ard_3-2-1_50HMH_2022-12-17_final.stac-item
2023-01-13 11:46:31	ga_s2am_ard_3-2-1_50HPK_2023-01-13_final.stac-item
2023-01-26 11:57:03	ga_s2am_ard_3-2-1_50HMH_2023-01-26_final.stac-item
2023-01-30 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-01-30_final.stac-item
2023-03-03 12:14:38	ga_s2am_ard_3-2-1_49JGN_2023-03-03_final.stac-item
2023-03-11 11:37:22	ga_s2am_ard_3-2-1_50HNG_2023-03-11_final.stac-item
2023-07-22 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2023-07-22_final.stac-item
2023-10-16 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2023-10-16_final.stac-item
2023-10-20 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2023-10-20_final.stac-item
2023-10-20 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-10-20_final.stac-item
2023-11-09 11:46:37	ga_s2am_ard_3-2-1_50HNK_2023-11-09_final.stac-item
2024-02-07 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2024-02-07_final.stac-item
2024-02-23 12:04:45	ga_s2am_ard_3-2-1_49JHN_2024-02-23_final.stac-item
2024-03-01 11:56:37	ga_s2am_ard_3-2-1_50HLK_2024-03-01_final.stac-item
2024-03-08 11:47:17	ga_s2am_ard_3-2-1_50HPG_2024-03-08_final.stac-item
2024-04-03 12:04:44	ga_s2am_ard_3-2-1_49JGN_2024-04-03_final.stac-item
2024-04-27 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2024-04-27_final.stac-item
2024-05-07 11:47:27	ga_s2am_ard_3-2-1_50HMG_2024-05-07_final.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

Other products

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