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_49KHQ_2016-05-18_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JFN_2016-07-07_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGN_2016-09-05_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGK_2016-09-12_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50HLJ_2016-09-19_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-10-22_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGK_2016-11-21_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-21_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KGQ_2017-06-22_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JHM_2017-07-09_final
2017-07-19 12:03:48	ga_s2am_ard_3-2-1_49KHR_2017-07-19_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGN_2017-09-17_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHP_2017-09-27_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JGL_2017-10-27_final
2017-12-09 12:14:36	ga_s2am_ard_3-2-1_49JGM_2017-12-09_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JHM_2018-01-05_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49JGM_2018-01-28_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49KHR_2018-03-16_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-04-28_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HLH_2018-06-11_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGN_2018-06-14_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HLH_2018-06-28_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JHM_2018-07-14_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2018-07-24_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-10-15_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-11-01_final
2018-12-18 11:57:14	ga_s2am_ard_3-2-1_50HLG_2018-12-18_final.stac-item
2018-12-31 12:04:50	ga_s2am_ard_3-2-1_49JHM_2018-12-31_final
2018-12-31 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2018-12-31_final
2019-02-09 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-02-09_final.stac-item
2019-02-12 12:14:53	ga_s2am_ard_3-2-1_49JGM_2019-02-12_final
2019-04-10 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-04-10_final
2019-05-20 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-05-20_final
2019-05-23 12:13:58	ga_s2am_ard_3-2-1_49KHR_2019-05-23_final
2019-06-19 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-06-19_final
2019-07-02 12:15:01	ga_s2am_ard_3-2-1_49JGM_2019-07-02_final
2019-07-09 12:04:36	ga_s2am_ard_3-2-1_49KGP_2019-07-09_final
2019-07-09 12:04:47	ga_s2am_ard_3-2-1_49JHN_2019-07-09_final
2019-08-08 12:05:05	ga_s2am_ard_3-2-1_49JGM_2019-08-08_final
2019-09-17 12:03:58	ga_s2am_ard_3-2-1_49KHR_2019-09-17_final
2019-10-27 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-10-27_final
2019-11-19 12:13:56	ga_s2am_ard_3-2-1_49KHR_2019-11-19_final
2020-03-05 12:03:59	ga_s2am_ard_3-2-1_49KHQ_2020-03-05_final
2020-03-25 12:04:01	ga_s2am_ard_3-2-1_49KHR_2020-03-25_final
2020-04-04 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2020-04-04_final
2020-04-04 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-04-04_final
2020-04-07 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2020-04-07_final
2020-05-04 12:05:18	ga_s2am_ard_3-2-1_49JGL_2020-05-04_final
2020-06-06 12:15:17	ga_s2am_ard_3-2-1_49JGL_2020-06-06_final
2020-06-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-06-26_final
2020-09-11 12:05:04	ga_s2am_ard_3-2-1_49JGM_2020-09-11_final
2020-09-21 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-09-21_final
2020-12-20 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2020-12-20_final
2020-12-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2020-12-30_final
2021-01-09 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-01-09_final
2021-01-09 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-01-09_final
2021-01-12 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-01-12_final
2021-02-02 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-02-02_final.stac-item
2021-02-08 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-02-08_final
2021-03-30 12:04:40	ga_s2am_ard_3-2-1_49JHN_2021-03-30_final
2021-04-02 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2021-04-02_final
2021-04-19 12:05:11	ga_s2am_ard_3-2-1_49JGL_2021-04-19_final
2021-05-12 12:14:26	ga_s2am_ard_3-2-1_49KGP_2021-05-12_final
2021-06-11 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-11_final
2021-06-15 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-06-15_final
2021-07-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-11_final
2021-07-31 12:14:26	ga_s2am_ard_3-2-1_49KHP_2021-07-31_final
2021-08-10 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-08-10_final
2021-08-20 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-08-20_final
2021-08-27 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2021-08-27_final
2021-09-26 12:04:50	ga_s2am_ard_3-2-1_49JGN_2021-09-26_final
2022-02-16 12:14:57	ga_s2am_ard_3-2-1_49JGM_2022-02-16_final
2022-03-09 11:47:18	ga_s2am_ard_3-2-1_50HLH_2022-03-09_final
2022-03-18 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-03-18_final
2022-04-14 12:03:47	ga_s2am_ard_3-2-1_49KHS_2022-04-14_final.stac-item
2022-06-23 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-06-23_final
2022-08-22 12:05:42	ga_s2am_ard_3-2-1_49JGK_2022-08-22_final
2022-08-25 12:14:54	ga_s2am_ard_3-2-1_49JGN_2022-08-25_final
2022-09-24 12:14:05	ga_s2am_ard_3-2-1_49KGR_2022-09-24_final.stac-item
2022-09-28 11:57:16	ga_s2am_ard_3-2-1_50HLH_2022-09-28_final.stac-item
2022-10-11 12:03:50	ga_s2am_ard_3-2-1_49KHS_2022-10-11_final.stac-item
2022-12-13 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2022-12-13_final.stac-item
2023-02-21 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-02-21_final.stac-item
2023-02-22 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-02-22_final.stac-item
2023-04-09 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-04-09_final.stac-item
2023-04-12 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-04-12_final.stac-item
2023-04-26 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-26_final.stac-item
2023-05-02 12:15:11	ga_s2am_ard_3-2-1_49JGL_2023-05-02_final.stac-item
2023-05-12 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-05-12_final.stac-item
2023-05-22 12:13:57	ga_s2am_ard_3-2-1_49KHR_2023-05-22_final.stac-item
2023-07-21 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-07-21_final.stac-item
2023-08-17 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-08-17_final.stac-item
2023-09-03 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-09-03_final.stac-item
2023-09-16 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-09-16_final.stac-item
2023-09-29 12:14:29	ga_s2am_ard_3-2-1_49KGP_2023-09-29_final.stac-item
2023-10-06 12:03:45	ga_s2am_ard_3-2-1_49KHS_2023-10-06_final.stac-item
2023-11-25 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-11-25_final.stac-item
2024-01-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2024-01-14_final.stac-item
2024-03-07 12:14:57	ga_s2am_ard_3-2-1_49JGM_2024-03-07_final.stac-item
2024-04-13 12:05:02	ga_s2am_ard_3-2-1_49JGM_2024-04-13_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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