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
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49JFM_2015-10-21_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHR_2015-12-27_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JGM_2016-08-03_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JGN_2016-08-13_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KHQ_2016-11-04_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KGP_2016-11-11_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLH_2016-12-28_final
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-01-03_final
2017-01-13 12:14:33	ga_s2am_ard_3-2-1_49JGM_2017-01-13_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-02_final
2017-03-04 12:13:36	ga_s2am_ard_3-2-1_49KGR_2017-03-04_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JGN_2017-03-11_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHS_2017-08-01_final.stac-item
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_49JGK_2017-08-08_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGM_2018-01-08_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49KGQ_2018-01-25_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49JGN_2018-01-28_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHP_2018-01-28_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HMG_2018-02-11_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-02-17_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-02-24_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-03-06_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2018-04-15_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KGP_2018-06-24_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-07-04_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGM_2018-07-14_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KGP_2018-07-17_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-08-06_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HLG_2018-09-29_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-10-05_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-10-15_final
2018-12-11 12:04:19	ga_s2am_ard_3-2-1_49KHP_2018-12-11_final
2018-12-31 12:04:40	ga_s2am_ard_3-2-1_49JGN_2018-12-31_final
2019-01-10 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-01-10_final
2019-01-30 12:04:28	ga_s2am_ard_3-2-1_49KGP_2019-01-30_final
2019-03-01 12:04:23	ga_s2am_ard_3-2-1_49KHP_2019-03-01_final
2019-03-04 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2019-03-04_final
2019-04-07 11:57:21	ga_s2am_ard_3-2-1_50HMG_2019-04-07_final.stac-item
2019-04-24 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-04-24_final.stac-item
2019-07-12 12:14:46	ga_s2am_ard_3-2-1_49JGN_2019-07-12_final
2019-07-16 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2019-07-16_final
2019-08-08 12:04:08	ga_s2am_ard_3-2-1_49KHR_2019-08-08_final
2019-08-11 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-08-11_final.stac-item
2019-10-21 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-21_final.stac-item
2019-11-19 12:14:43	ga_s2am_ard_3-2-1_49JGN_2019-11-19_final
2019-11-23 11:57:24	ga_s2am_ard_3-2-1_50HLG_2019-11-23_final.stac-item
2019-11-26 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2019-11-26_final
2019-12-06 12:04:29	ga_s2am_ard_3-2-1_49KGP_2019-12-06_final
2020-01-05 12:05:09	ga_s2am_ard_3-2-1_49JGL_2020-01-05_final
2020-01-25 12:04:11	ga_s2am_ard_3-2-1_49KGQ_2020-01-25_final
2020-02-18 11:47:18	ga_s2am_ard_3-2-1_50HMG_2020-02-18_final.stac-item
2020-03-12 11:57:19	ga_s2am_ard_3-2-1_50HLG_2020-03-12_final.stac-item
2020-03-15 12:04:24	ga_s2am_ard_3-2-1_49KHP_2020-03-15_final
2020-04-14 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-04-14_final
2020-06-03 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-06-03_final
2020-06-13 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-06-13_final
2020-07-06 12:14:31	ga_s2am_ard_3-2-1_49KGP_2020-07-06_final
2020-07-10 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2020-07-10_final
2020-07-30 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-07-30_final
2020-08-25 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-08-25_final
2020-08-25 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-08-25_final
2020-10-21 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-10-21_final
2021-01-09 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-01-09_final
2021-02-11 12:14:25	ga_s2am_ard_3-2-1_49KGP_2021-02-11_final
2021-02-18 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-02-18_final.stac-item
2021-04-23 11:47:10	ga_s2am_ard_3-2-1_50HLH_2021-04-23_final
2021-04-26 11:57:17	ga_s2am_ard_3-2-1_50HMG_2021-04-26_final.stac-item
2021-04-29 12:04:43	ga_s2am_ard_3-2-1_49JGN_2021-04-29_final
2021-05-26 11:57:07	ga_s2am_ard_3-2-1_50HLH_2021-05-26_final
2021-06-02 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-06-02_final.stac-item
2021-06-28 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-06-28_final
2021-07-08 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2021-07-08_final
2021-08-17 12:05:03	ga_s2am_ard_3-2-1_49JGM_2021-08-17_final
2021-10-30 11:47:29	ga_s2am_ard_3-2-1_50HMG_2021-10-30_final.stac-item
2021-11-15 12:04:19	ga_s2am_ard_3-2-1_49KGQ_2021-11-15_final
2021-11-18 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-11-18_final
2021-12-05 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-12-05_final
2021-12-15 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-12-15_final
2021-12-18 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-12-18_final
2022-01-28 11:47:24	ga_s2am_ard_3-2-1_50HMG_2022-01-28_final.stac-item
2022-02-13 12:04:31	ga_s2am_ard_3-2-1_49KGP_2022-02-13_final
2022-03-15 12:04:35	ga_s2am_ard_3-2-1_49KGP_2022-03-15_final
2022-04-24 12:04:36	ga_s2am_ard_3-2-1_49KGP_2022-04-24_final
2022-06-17 11:47:25	ga_s2am_ard_3-2-1_50HLH_2022-06-17_final
2022-06-26 12:13:52	ga_s2am_ard_3-2-1_49KHS_2022-06-26_final.stac-item
2022-07-16 12:13:52	ga_s2am_ard_3-2-1_49KHS_2022-07-16_final.stac-item
2022-11-17 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-11-17_final.stac-item
2023-01-02 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-01-02_final.stac-item
2023-01-13 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-01-13_final.stac-item
2023-01-19 12:04:26	ga_s2am_ard_3-2-1_49KGP_2023-01-19_final.stac-item
2023-01-19 12:05:10	ga_s2am_ard_3-2-1_49JGL_2023-01-19_final.stac-item
2023-03-10 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2023-03-10_final.stac-item
2023-05-29 12:04:35	ga_s2am_ard_3-2-1_49KGP_2023-05-29_final.stac-item
2023-07-02 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-07-02_final.stac-item
2023-08-17 12:05:35	ga_s2am_ard_3-2-1_49JGK_2023-08-17_final.stac-item
2023-09-16 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2023-09-16_final.stac-item
2023-10-16 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-10-16_final.stac-item
2023-11-05 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-11-05_final.stac-item
2023-11-08 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-11-08_final.stac-item
2023-12-22 11:56:36	ga_s2am_ard_3-2-1_50HLK_2023-12-22_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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