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
2015-08-28 10:51:18	ga_s2am_ard_3-2-1_52KGB_2015-08-28_final.stac-item
2015-10-04 10:46:08	ga_s2am_ard_3-2-1_52HGK_2015-10-04_final.stac-item
2015-11-26 10:52:15	ga_s2am_ard_3-2-1_52KGB_2015-11-26_final.stac-item
2015-12-06 10:52:27	ga_s2am_ard_3-2-1_52KGB_2015-12-06_final.stac-item
2015-12-26 10:54:12	ga_s2am_ard_3-2-1_52KGB_2015-12-26_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_52KGB_2016-05-04_final.stac-item
2016-07-03 10:48:21	ga_s2am_ard_3-2-1_52KGB_2016-07-03_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52KGB_2016-08-12_final.stac-item
2016-08-22 10:52:19	ga_s2am_ard_3-2-1_52KGB_2016-08-22_final.stac-item
2016-10-01 10:52:12	ga_s2am_ard_3-2-1_52KGB_2016-10-01_final.stac-item
2016-10-21 10:52:12	ga_s2am_ard_3-2-1_52KGB_2016-10-21_final.stac-item
2016-10-24 11:03:06	ga_s2am_ard_3-2-1_52KGB_2016-10-24_final.stac-item
2016-11-10 10:52:15	ga_s2am_ard_3-2-1_52KGB_2016-11-10_final.stac-item
2018-03-15 10:56:07	ga_s2am_ard_3-2-1_53HKE_2018-03-15_final.stac-item
2018-08-02 10:56:08	ga_s2am_ard_3-2-1_53HKE_2018-08-02_final.stac-item
2020-03-04 10:56:09	ga_s2am_ard_3-2-1_52HGK_2020-03-04_final.stac-item
2020-04-10 10:46:21	ga_s2am_ard_3-2-1_52HGK_2020-04-10_final.stac-item
2020-10-13 11:02:17	ga_s2am_ard_3-2-1_52KHF_2020-10-13_final
2020-10-23 11:02:17	ga_s2am_ard_3-2-1_52KHF_2020-10-23_final
2020-11-02 11:02:17	ga_s2am_ard_3-2-1_52KHF_2020-11-02_final
2020-11-12 11:02:15	ga_s2am_ard_3-2-1_52KHF_2020-11-12_final
2020-11-22 11:02:14	ga_s2am_ard_3-2-1_52KHF_2020-11-22_final
2020-12-02 11:02:11	ga_s2am_ard_3-2-1_52KHF_2020-12-02_final
2020-12-12 11:02:08	ga_s2am_ard_3-2-1_52KHF_2020-12-12_final
2020-12-22 11:02:10	ga_s2am_ard_3-2-1_52KHF_2020-12-22_final
2021-01-01 11:02:12	ga_s2am_ard_3-2-1_52KHF_2021-01-01_final
2021-01-11 11:02:12	ga_s2am_ard_3-2-1_52KHF_2021-01-11_final
2021-01-21 11:02:12	ga_s2am_ard_3-2-1_52KHF_2021-01-21_final
2021-01-31 11:02:12	ga_s2am_ard_3-2-1_52KHF_2021-01-31_final
2021-02-10 11:02:10	ga_s2am_ard_3-2-1_52KHF_2021-02-10_final
2021-02-20 11:02:11	ga_s2am_ard_3-2-1_52KHF_2021-02-20_final
2021-03-02 11:02:11	ga_s2am_ard_3-2-1_52KHF_2021-03-02_final
2021-03-12 11:02:11	ga_s2am_ard_3-2-1_52KHF_2021-03-12_final
2021-03-22 11:02:04	ga_s2am_ard_3-2-1_52KHF_2021-03-22_final
2021-03-22 11:02:11	ga_s2am_ard_3-2-1_52KHF_2021-03-22_final
2021-04-01 11:02:09	ga_s2am_ard_3-2-1_52KHF_2021-04-01_final
2021-04-11 11:02:07	ga_s2am_ard_3-2-1_52KHF_2021-04-11_final
2021-04-21 11:02:01	ga_s2am_ard_3-2-1_52KHF_2021-04-21_final
2021-04-21 11:02:08	ga_s2am_ard_3-2-1_52KHF_2021-04-21_final
2021-05-01 11:02:09	ga_s2am_ard_3-2-1_52KHF_2021-05-01_final
2021-05-11 11:02:11	ga_s2am_ard_3-2-1_52KHF_2021-05-11_final
2021-05-21 11:02:12	ga_s2am_ard_3-2-1_52KHF_2021-05-21_final
2021-05-31 11:02:12	ga_s2am_ard_3-2-1_52KHF_2021-05-31_final
2021-06-10 11:02:12	ga_s2am_ard_3-2-1_52KHF_2021-06-10_final
2021-06-20 11:02:06	ga_s2am_ard_3-2-1_52KHF_2021-06-20_final
2021-06-20 11:02:13	ga_s2am_ard_3-2-1_52KHF_2021-06-20_final
2021-06-30 11:02:13	ga_s2am_ard_3-2-1_52KHF_2021-06-30_final
2021-07-10 11:02:14	ga_s2am_ard_3-2-1_52KHF_2021-07-10_final
2021-07-20 11:02:09	ga_s2am_ard_3-2-1_52KHF_2021-07-20_final
2021-07-20 11:02:16	ga_s2am_ard_3-2-1_52KHF_2021-07-20_final
2021-07-30 11:02:15	ga_s2am_ard_3-2-1_52KHF_2021-07-30_final
2021-08-19 11:02:14	ga_s2am_ard_3-2-1_52KHF_2021-08-19_final
2021-08-29 11:02:13	ga_s2am_ard_3-2-1_52KHF_2021-08-29_final
2021-09-08 11:02:12	ga_s2am_ard_3-2-1_52KHF_2021-09-08_final
2021-09-18 11:02:08	ga_s2am_ard_3-2-1_52KHF_2021-09-18_final
2022-09-10 10:53:31	ga_s2am_ard_3-2-1_52KGB_2022-09-10_final.stac-item
2022-09-10 10:55:24	ga_s2am_ard_3-2-1_52JGP_2022-09-10_final.stac-item
2022-09-20 10:55:21	ga_s2am_ard_3-2-1_52JGP_2022-09-20_final.stac-item
2022-09-30 10:55:20	ga_s2am_ard_3-2-1_52JGP_2022-09-30_final.stac-item
2022-10-10 10:55:19	ga_s2am_ard_3-2-1_52JGP_2022-10-10_final.stac-item
2022-10-20 10:55:15	ga_s2am_ard_3-2-1_52JGP_2022-10-20_final.stac-item
2022-10-30 10:55:17	ga_s2am_ard_3-2-1_52JGP_2022-10-30_final.stac-item
2022-11-09 10:55:17	ga_s2am_ard_3-2-1_52JGP_2022-11-09_final.stac-item
2022-11-19 10:55:14	ga_s2am_ard_3-2-1_52JGP_2022-11-19_final.stac-item
2022-11-29 10:55:13	ga_s2am_ard_3-2-1_52JGP_2022-11-29_final.stac-item
2022-12-09 10:55:14	ga_s2am_ard_3-2-1_52JGP_2022-12-09_final.stac-item
2022-12-19 10:55:12	ga_s2am_ard_3-2-1_52JGP_2022-12-19_final.stac-item
2022-12-29 10:53:19	ga_s2am_ard_3-2-1_52KGB_2022-12-29_final.stac-item
2022-12-29 10:55:12	ga_s2am_ard_3-2-1_52JGP_2022-12-29_final.stac-item
2023-01-08 10:55:12	ga_s2am_ard_3-2-1_52JGP_2023-01-08_final.stac-item
2023-01-18 10:55:09	ga_s2am_ard_3-2-1_52JGP_2023-01-18_final.stac-item
2023-01-28 10:53:17	ga_s2am_ard_3-2-1_52KGB_2023-01-28_final.stac-item
2023-01-28 10:53:20	ga_s2am_ard_3-2-1_52KGB_2023-01-28_final.stac-item
2023-01-28 10:55:11	ga_s2am_ard_3-2-1_52JGP_2023-01-28_final.stac-item
2023-02-07 10:55:04	ga_s2am_ard_3-2-1_52JGP_2023-02-07_final.stac-item
2023-02-07 10:55:12	ga_s2am_ard_3-2-1_52JGP_2023-02-07_final.stac-item
2023-02-17 10:53:17	ga_s2am_ard_3-2-1_52KGB_2023-02-17_final.stac-item
2023-02-17 10:55:10	ga_s2am_ard_3-2-1_52JGP_2023-02-17_final.stac-item
2023-02-27 10:53:18	ga_s2am_ard_3-2-1_52KGB_2023-02-27_final.stac-item
2023-02-27 10:55:11	ga_s2am_ard_3-2-1_52JGP_2023-02-27_final.stac-item
2023-03-09 10:53:16	ga_s2am_ard_3-2-1_52KGB_2023-03-09_final.stac-item
2023-03-09 10:55:08	ga_s2am_ard_3-2-1_52JGP_2023-03-09_final.stac-item
2023-03-19 10:55:11	ga_s2am_ard_3-2-1_52JGP_2023-03-19_final.stac-item
2023-03-29 10:53:18	ga_s2am_ard_3-2-1_52KGB_2023-03-29_final.stac-item
2023-03-29 10:55:11	ga_s2am_ard_3-2-1_52JGP_2023-03-29_final.stac-item
2023-04-08 10:55:13	ga_s2am_ard_3-2-1_52JGP_2023-04-08_final.stac-item
2023-04-18 10:53:19	ga_s2am_ard_3-2-1_52KGB_2023-04-18_final.stac-item
2023-04-18 10:55:12	ga_s2am_ard_3-2-1_52JGP_2023-04-18_final.stac-item
2023-04-28 10:55:06	ga_s2am_ard_3-2-1_52JGP_2023-04-28_final.stac-item
2023-05-08 10:55:13	ga_s2am_ard_3-2-1_52JGP_2023-05-08_final.stac-item
2023-05-18 10:55:15	ga_s2am_ard_3-2-1_52JGP_2023-05-18_final.stac-item
2023-05-28 10:55:17	ga_s2am_ard_3-2-1_52JGP_2023-05-28_final.stac-item
2023-06-07 10:53:24	ga_s2am_ard_3-2-1_52KGB_2023-06-07_final.stac-item
2023-06-07 10:55:17	ga_s2am_ard_3-2-1_52JGP_2023-06-07_final.stac-item
2023-06-17 10:55:17	ga_s2am_ard_3-2-1_52JGP_2023-06-17_final.stac-item
2023-06-27 10:55:17	ga_s2am_ard_3-2-1_52JGP_2023-06-27_final.stac-item
2023-07-07 10:55:18	ga_s2am_ard_3-2-1_52JGP_2023-07-07_final.stac-item
2023-08-06 10:53:25	ga_s2am_ard_3-2-1_52KGB_2023-08-06_final.stac-item
2023-10-15 10:53:19	ga_s2am_ard_3-2-1_52KGB_2023-10-15_final.stac-item
2024-01-03 10:54:43	ga_s2am_ard_3-2-1_52JGR_2024-01-03_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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