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
2015-11-27 12:03:46	ga_s2am_ard_3-2-1_49KHR_2015-11-27_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_49JGL_2015-12-27_final.stac-item
2016-01-29 12:14:38	ga_s2am_ard_3-2-1_49JGM_2016-01-29_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-07-07_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KHQ_2016-08-06_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGK_2016-11-01_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KHR_2016-12-24_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGK_2016-12-31_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHR_2016-12-31_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGL_2017-05-23_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KHS_2017-05-30_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHP_2017-07-09_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHS_2017-08-01_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGN_2017-11-09_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KGP_2018-01-05_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50HLJ_2018-03-03_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGK_2018-04-05_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-04-18_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-05-18_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HLH_2018-06-11_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLJ_2018-06-21_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-07-17_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGN_2018-07-24_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49KHS_2018-08-16_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLG_2018-08-20_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLH_2018-08-20_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KHR_2018-09-02_final
2018-09-15 12:14:38	ga_s2am_ard_3-2-1_49JGL_2018-09-15_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLK_2018-10-09_final
2018-12-21 12:04:34	ga_s2am_ard_3-2-1_49JHN_2018-12-21_final
2019-01-20 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-01-20_final
2019-02-09 12:03:56	ga_s2am_ard_3-2-1_49KHR_2019-02-09_final
2019-02-19 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-02-19_final
2019-03-01 12:05:03	ga_s2am_ard_3-2-1_49JGL_2019-03-01_final
2019-03-11 12:03:40	ga_s2am_ard_3-2-1_49KHS_2019-03-11_final.stac-item
2019-04-03 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-04-03_final
2019-05-30 12:05:32	ga_s2am_ard_3-2-1_49JGK_2019-05-30_final
2019-06-12 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-06-12_final
2019-08-01 12:15:01	ga_s2am_ard_3-2-1_49JGM_2019-08-01_final
2019-10-17 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-10-17_final
2019-11-19 12:13:56	ga_s2am_ard_3-2-1_49KHR_2019-11-19_final
2019-12-03 11:57:08	ga_s2am_ard_3-2-1_50HLH_2019-12-03_final
2019-12-06 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-12-06_final
2020-02-11 11:57:16	ga_s2am_ard_3-2-1_50HLG_2020-02-11_final.stac-item
2020-04-04 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-04-04_final
2020-06-23 12:04:10	ga_s2am_ard_3-2-1_49KHR_2020-06-23_final
2020-07-26 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-07-26_final
2020-08-05 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-08-05_final
2020-09-14 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-09-14_final
2021-02-08 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-02-08_final
2021-02-11 12:13:38	ga_s2am_ard_3-2-1_49KHS_2021-02-11_final.stac-item
2021-02-25 11:56:40	ga_s2am_ard_3-2-1_50HLK_2021-02-25_final
2021-02-25 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-25_final
2021-03-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-03-17_final
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final
2021-05-09 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-05-09_final
2021-05-22 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-05-22_final
2021-07-18 12:05:33	ga_s2am_ard_3-2-1_49JGK_2021-07-18_final
2021-08-17 12:04:59	ga_s2am_ard_3-2-1_49JHM_2021-08-17_final
2021-09-29 12:14:32	ga_s2am_ard_3-2-1_49KGP_2021-09-29_final
2021-10-06 12:04:04	ga_s2am_ard_3-2-1_49KHR_2021-10-06_final
2021-10-09 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-09_final
2021-12-15 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-12-15_final
2021-12-28 12:14:43	ga_s2am_ard_3-2-1_49JGN_2021-12-28_final
2022-01-01 11:56:56	ga_s2am_ard_3-2-1_50HLJ_2022-01-01_final
2022-01-04 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-01-04_final
2022-01-08 11:47:16	ga_s2am_ard_3-2-1_50HLH_2022-01-08_final
2022-01-18 11:47:15	ga_s2am_ard_3-2-1_50HLH_2022-01-18_final
2022-01-31 11:57:09	ga_s2am_ard_3-2-1_50HLH_2022-01-31_final
2022-02-06 12:13:39	ga_s2am_ard_3-2-1_49KHS_2022-02-06_final.stac-item
2022-02-13 12:05:29	ga_s2am_ard_3-2-1_49JGK_2022-02-13_final
2022-03-05 12:05:10	ga_s2am_ard_3-2-1_49JGM_2022-03-05_final
2022-03-15 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-03-15_final.stac-item
2022-04-24 12:03:49	ga_s2am_ard_3-2-1_49KHS_2022-04-24_final.stac-item
2022-06-13 12:05:18	ga_s2am_ard_3-2-1_49JFM_2022-06-13_final
2022-07-13 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-07-13_final.stac-item
2022-08-22 12:04:44	ga_s2am_ard_3-2-1_49KGP_2022-08-22_final
2022-08-22 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-08-22_final
2022-10-01 12:05:51	ga_s2am_ard_3-2-1_49JGJ_2022-10-01_final.stac-item
2022-10-14 12:15:15	ga_s2am_ard_3-2-1_49JGL_2022-10-14_final.stac-item
2022-10-24 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-10-24_final.stac-item
2022-12-10 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-12-10_final.stac-item
2022-12-17 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2022-12-17_final.stac-item
2022-12-23 12:14:39	ga_s2am_ard_3-2-1_49JGN_2022-12-23_final.stac-item
2022-12-30 12:04:59	ga_s2am_ard_3-2-1_49JGM_2022-12-30_final.stac-item
2023-01-02 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-01-02_final.stac-item
2023-01-26 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-01-26_final.stac-item
2023-05-09 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-05-09_final.stac-item
2023-06-01 12:14:02	ga_s2am_ard_3-2-1_49KGR_2023-06-01_final.stac-item
2023-07-21 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-07-21_final.stac-item
2023-07-28 12:05:20	ga_s2am_ard_3-2-1_49JGL_2023-07-28_final.stac-item
2023-09-06 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-09-06_final.stac-item
2023-09-19 12:15:02	ga_s2am_ard_3-2-1_49JFM_2023-09-19_final.stac-item
2023-10-09 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-10-09_final.stac-item
2024-01-07 12:15:06	ga_s2am_ard_3-2-1_49JGL_2024-01-07_final.stac-item
2024-01-21 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2024-01-21_final.stac-item
2024-02-03 12:04:56	ga_s2am_ard_3-2-1_49JGM_2024-02-03_final.stac-item
2024-02-06 12:14:56	ga_s2am_ard_3-2-1_49JFM_2024-02-06_final.stac-item
2024-02-13 12:04:58	ga_s2am_ard_3-2-1_49JGM_2024-02-13_final.stac-item
2024-02-20 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2024-02-20_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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