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
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGQ_2015-12-30_final.stac-item
2016-02-18 12:13:39	ga_s2am_ard_3-2-1_49KHR_2016-02-18_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGL_2016-03-09_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHQ_2016-04-15_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JGM_2016-06-14_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-10-12_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-10-22_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49JFM_2016-11-04_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2016-11-11_final.stac-item
2016-12-24 12:14:52	ga_s2am_ard_3-2-1_49JGM_2016-12-24_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-31_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGJ_2017-01-20_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JGL_2017-03-31_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49KHS_2017-05-13_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGL_2017-05-30_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49JGM_2017-08-18_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JHN_2017-09-27_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49JFM_2017-10-10_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHR_2017-12-16_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHP_2017-12-19_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2017-12-19_final
2018-01-25 12:02:44	ga_s2am_ard_3-2-1_49KHS_2018-01-25_final.stac-item
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-03-19_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KGP_2018-03-29_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49KGP_2018-04-05_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-04-08_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-04-28_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGN_2018-05-15_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49KHR_2018-06-14_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-10-02_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-15_final
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-10-25_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-11-01_final.stac-item
2019-02-19 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-02-19_final.stac-item
2019-03-14 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2019-03-14_final
2019-04-04 11:47:28	ga_s2am_ard_3-2-1_50HLG_2019-04-04_final.stac-item
2019-04-10 12:05:31	ga_s2am_ard_3-2-1_49JGK_2019-04-10_final
2019-05-13 12:14:02	ga_s2am_ard_3-2-1_49KGR_2019-05-13_final
2019-06-29 12:04:36	ga_s2am_ard_3-2-1_49KGP_2019-06-29_final
2019-08-08 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-08-08_final.stac-item
2019-08-11 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-08-11_final
2019-08-21 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-08-21_final
2019-08-28 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-08-28_final
2019-09-27 12:04:32	ga_s2am_ard_3-2-1_49KGP_2019-09-27_final
2019-10-07 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-10-07_final.stac-item
2019-10-20 12:14:30	ga_s2am_ard_3-2-1_49KGP_2019-10-20_final
2019-12-09 12:15:06	ga_s2am_ard_3-2-1_49JGL_2019-12-09_final
2020-01-18 12:13:48	ga_s2am_ard_3-2-1_49KHR_2020-01-18_final
2020-02-24 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-02-24_final
2020-03-08 12:15:06	ga_s2am_ard_3-2-1_49JGL_2020-03-08_final
2020-03-15 12:04:24	ga_s2am_ard_3-2-1_49KHP_2020-03-15_final
2020-03-25 12:04:01	ga_s2am_ard_3-2-1_49KHR_2020-03-25_final
2020-03-28 12:14:23	ga_s2am_ard_3-2-1_49KGP_2020-03-28_final
2020-05-27 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-05-27_final
2020-06-03 12:03:51	ga_s2am_ard_3-2-1_49KHS_2020-06-03_final.stac-item
2020-06-13 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-13_final
2020-06-26 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-06-26_final
2020-11-03 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-11-03_final
2020-11-10 12:04:50	ga_s2am_ard_3-2-1_49JGN_2020-11-10_final
2020-11-30 12:04:31	ga_s2am_ard_3-2-1_49KGP_2020-11-30_final
2020-12-30 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-12-30_final
2021-01-09 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-01-09_final
2021-02-08 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-02-08_final
2021-03-10 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-03-10_final
2021-03-13 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-03-13_final
2021-04-02 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2021-04-02_final
2021-10-09 12:14:03	ga_s2am_ard_3-2-1_49KGR_2021-10-09_final
2021-10-16 12:03:50	ga_s2am_ard_3-2-1_49KHS_2021-10-16_final.stac-item
2021-12-18 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-12-18_final
2022-01-17 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-01-17_final
2022-01-21 11:57:23	ga_s2am_ard_3-2-1_50HLG_2022-01-21_final.stac-item
2022-03-05 12:05:03	ga_s2am_ard_3-2-1_49JGM_2022-03-05_final
2022-04-07 12:14:57	ga_s2am_ard_3-2-1_49JGM_2022-04-07_final
2022-04-24 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2022-04-24_final
2022-04-27 12:14:46	ga_s2am_ard_3-2-1_49JGN_2022-04-27_final
2022-06-23 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-06-23_final.stac-item
2022-07-13 12:04:12	ga_s2am_ard_3-2-1_49KHR_2022-07-13_final
2022-07-13 12:04:41	ga_s2am_ard_3-2-1_49KGP_2022-07-13_final
2022-07-23 12:03:55	ga_s2am_ard_3-2-1_49KHS_2022-07-23_final.stac-item
2022-08-15 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-08-15_final
2022-10-01 12:03:52	ga_s2am_ard_3-2-1_49KHS_2022-10-01_final.stac-item
2022-10-21 12:03:46	ga_s2am_ard_3-2-1_49KHS_2022-10-21_final.stac-item
2022-10-31 12:04:35	ga_s2am_ard_3-2-1_49KGP_2022-10-31_final.stac-item
2022-11-13 12:14:30	ga_s2am_ard_3-2-1_49KGP_2022-11-13_final.stac-item
2022-12-03 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-12-03_final.stac-item
2023-01-29 12:05:13	ga_s2am_ard_3-2-1_49JGL_2023-01-29_final.stac-item
2023-02-08 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-02-08_final.stac-item
2023-04-19 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-04-19_final.stac-item
2023-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-05-12_final.stac-item
2023-05-19 12:04:44	ga_s2am_ard_3-2-1_49JHN_2023-05-19_final.stac-item
2023-06-28 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-28_final.stac-item
2023-07-31 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-07-31_final.stac-item
2023-09-16 12:05:04	ga_s2am_ard_3-2-1_49JGM_2023-09-16_final.stac-item
2023-10-26 12:04:31	ga_s2am_ard_3-2-1_49KGP_2023-10-26_final.stac-item
2023-11-05 12:05:00	ga_s2am_ard_3-2-1_49JGM_2023-11-05_final.stac-item
2023-12-05 12:04:24	ga_s2am_ard_3-2-1_49KGP_2023-12-05_final.stac-item
2023-12-15 12:04:27	ga_s2am_ard_3-2-1_49KGP_2023-12-15_final.stac-item
2023-12-18 12:13:51	ga_s2am_ard_3-2-1_49KHR_2023-12-18_final.stac-item
2024-01-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2024-01-14_final.stac-item
2024-01-17 12:13:50	ga_s2am_ard_3-2-1_49KGR_2024-01-17_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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