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
2016-08-18 09:36:38	ga_s2am_ard_3-2-1_56HKF_2016-08-18_final.stac-item
2016-08-18 09:36:38	ga_s2am_ard_3-2-1_55HGA_2016-08-18_final.stac-item
2017-04-25 09:32:55	ga_s2am_ard_3-2-1_55HGC_2017-04-25_final.stac-item
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_55HGC_2017-05-15_final
2017-06-04 09:34:37	ga_s2am_ard_3-2-1_55HGC_2017-06-04_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_55HGC_2017-06-24_final
2017-07-14 09:32:18	ga_s2am_ard_3-2-1_55HGC_2017-07-14_final
2017-08-23 09:32:19	ga_s2am_ard_3-2-1_55HGC_2017-08-23_final
2017-09-12 09:33:18	ga_s2am_ard_3-2-1_55HGC_2017-09-12_final
2017-10-02 09:32:37	ga_s2am_ard_3-2-1_55HGC_2017-10-02_final
2017-10-22 09:32:39	ga_s2am_ard_3-2-1_55HGC_2017-10-22_final
2017-11-11 09:32:38	ga_s2am_ard_3-2-1_55HGC_2017-11-11_final
2017-12-01 09:32:34	ga_s2am_ard_3-2-1_55HGC_2017-12-01_final
2017-12-21 09:32:34	ga_s2am_ard_3-2-1_55HGC_2017-12-21_final
2018-01-10 09:32:32	ga_s2am_ard_3-2-1_55HGC_2018-01-10_final
2018-01-30 09:32:35	ga_s2am_ard_3-2-1_55HGC_2018-01-30_final
2018-02-09 09:32:58	ga_s2am_ard_3-2-1_55HGC_2018-02-09_final
2023-04-14 09:36:13	ga_s2am_ard_3-2-1_55HGC_2023-04-14_final.stac-item
2023-04-24 09:36:13	ga_s2am_ard_3-2-1_55HGC_2023-04-24_final.stac-item
2023-05-04 09:36:13	ga_s2am_ard_3-2-1_55HGC_2023-05-04_final.stac-item
2023-05-07 09:45:11	ga_s2am_ard_3-2-1_55JGG_2023-05-07_final.stac-item
2023-05-14 09:35:15	ga_s2am_ard_3-2-1_55JGG_2023-05-14_final.stac-item
2023-05-14 09:36:13	ga_s2am_ard_3-2-1_55HGC_2023-05-14_final.stac-item
2023-05-17 09:45:12	ga_s2am_ard_3-2-1_55JGG_2023-05-17_final.stac-item
2023-05-24 09:35:18	ga_s2am_ard_3-2-1_55JGG_2023-05-24_final.stac-item
2023-05-24 09:36:16	ga_s2am_ard_3-2-1_55HGC_2023-05-24_final.stac-item
2023-05-27 09:45:15	ga_s2am_ard_3-2-1_55JGG_2023-05-27_final.stac-item
2023-06-03 09:35:19	ga_s2am_ard_3-2-1_55JGG_2023-06-03_final.stac-item
2023-06-03 09:36:17	ga_s2am_ard_3-2-1_55HGC_2023-06-03_final.stac-item
2023-06-06 09:45:14	ga_s2am_ard_3-2-1_55JGG_2023-06-06_final.stac-item
2023-06-06 09:45:20	ga_s2am_ard_3-2-1_56JKM_2023-06-06_final.stac-item
2023-06-13 09:36:17	ga_s2am_ard_3-2-1_55HGC_2023-06-13_final.stac-item
2023-06-23 09:36:17	ga_s2am_ard_3-2-1_55HGC_2023-06-23_final.stac-item
2023-07-03 09:36:18	ga_s2am_ard_3-2-1_55HGC_2023-07-03_final.stac-item
2023-07-13 09:36:18	ga_s2am_ard_3-2-1_55HGC_2023-07-13_final.stac-item
2023-07-13 09:36:50	ga_s2am_ard_3-2-1_55HGA_2023-07-13_final.stac-item
2023-07-23 09:36:18	ga_s2am_ard_3-2-1_55HGC_2023-07-23_final.stac-item
2023-07-26 09:44:50	ga_s2am_ard_3-2-1_55JGJ_2023-07-26_final.stac-item
2023-08-02 09:36:18	ga_s2am_ard_3-2-1_55HGC_2023-08-02_final.stac-item
2023-08-12 09:36:18	ga_s2am_ard_3-2-1_55HGC_2023-08-12_final.stac-item
2023-08-22 09:36:19	ga_s2am_ard_3-2-1_55HGC_2023-08-22_final.stac-item
2023-09-01 09:36:18	ga_s2am_ard_3-2-1_55HGC_2023-09-01_final.stac-item
2023-09-11 09:36:18	ga_s2am_ard_3-2-1_55HGC_2023-09-11_final.stac-item
2023-09-21 09:36:15	ga_s2am_ard_3-2-1_55HGC_2023-09-21_final.stac-item
2023-10-01 09:36:15	ga_s2am_ard_3-2-1_55HGC_2023-10-01_final.stac-item
2023-10-11 09:36:12	ga_s2am_ard_3-2-1_55HGC_2023-10-11_final.stac-item
2023-10-21 09:36:13	ga_s2am_ard_3-2-1_55HGC_2023-10-21_final.stac-item
2023-10-31 09:36:12	ga_s2am_ard_3-2-1_55HGC_2023-10-31_final.stac-item
2023-11-10 09:36:13	ga_s2am_ard_3-2-1_55HGC_2023-11-10_final.stac-item
2023-11-20 09:36:10	ga_s2am_ard_3-2-1_55HGC_2023-11-20_final.stac-item
2023-12-10 09:36:08	ga_s2am_ard_3-2-1_55HGC_2023-12-10_final.stac-item
2023-12-20 09:35:11	ga_s2am_ard_3-2-1_55JGG_2023-12-20_final.stac-item
2023-12-20 09:36:09	ga_s2am_ard_3-2-1_55HGC_2023-12-20_final.stac-item
2023-12-23 09:45:07	ga_s2am_ard_3-2-1_55JGG_2023-12-23_final.stac-item
2023-12-30 09:35:12	ga_s2am_ard_3-2-1_55JGG_2023-12-30_final.stac-item
2023-12-30 09:36:10	ga_s2am_ard_3-2-1_55HGC_2023-12-30_final.stac-item
2024-01-02 09:45:08	ga_s2am_ard_3-2-1_55JGG_2024-01-02_final.stac-item
2024-01-09 09:35:11	ga_s2am_ard_3-2-1_55JGG_2024-01-09_final.stac-item
2024-01-09 09:36:09	ga_s2am_ard_3-2-1_55HGC_2024-01-09_final.stac-item
2024-01-12 09:45:06	ga_s2am_ard_3-2-1_55JGG_2024-01-12_final.stac-item
2024-01-19 09:35:06	ga_s2am_ard_3-2-1_55JGG_2024-01-19_final.stac-item
2024-01-19 09:36:04	ga_s2am_ard_3-2-1_55HGC_2024-01-19_final.stac-item
2024-01-22 09:45:04	ga_s2am_ard_3-2-1_55JGG_2024-01-22_final.stac-item
2024-01-29 09:35:10	ga_s2am_ard_3-2-1_55JGG_2024-01-29_final.stac-item
2024-01-29 09:36:08	ga_s2am_ard_3-2-1_55HGC_2024-01-29_final.stac-item
2024-02-01 09:45:07	ga_s2am_ard_3-2-1_55JGG_2024-02-01_final.stac-item
2024-02-08 09:35:11	ga_s2am_ard_3-2-1_55JGG_2024-02-08_final.stac-item
2024-02-08 09:36:09	ga_s2am_ard_3-2-1_55HGC_2024-02-08_final.stac-item
2024-02-11 09:45:08	ga_s2am_ard_3-2-1_55JGG_2024-02-11_final.stac-item
2024-02-18 09:35:13	ga_s2am_ard_3-2-1_55JGG_2024-02-18_final.stac-item
2024-02-18 09:36:11	ga_s2am_ard_3-2-1_55HGC_2024-02-18_final.stac-item
2024-02-21 09:45:09	ga_s2am_ard_3-2-1_55JGG_2024-02-21_final.stac-item
2024-02-28 09:35:15	ga_s2am_ard_3-2-1_55JGG_2024-02-28_final.stac-item
2024-02-28 09:36:13	ga_s2am_ard_3-2-1_55HGC_2024-02-28_final.stac-item
2024-03-02 09:45:11	ga_s2am_ard_3-2-1_55JGG_2024-03-02_final.stac-item
2024-03-09 09:35:16	ga_s2am_ard_3-2-1_55JGG_2024-03-09_final.stac-item
2024-03-09 09:36:14	ga_s2am_ard_3-2-1_55HGC_2024-03-09_final.stac-item
2024-03-12 09:45:11	ga_s2am_ard_3-2-1_55JGG_2024-03-12_final.stac-item
2024-03-19 09:35:16	ga_s2am_ard_3-2-1_55JGG_2024-03-19_final.stac-item
2024-03-19 09:36:14	ga_s2am_ard_3-2-1_55HGC_2024-03-19_final.stac-item
2024-03-22 09:45:12	ga_s2am_ard_3-2-1_55JGG_2024-03-22_final.stac-item
2024-03-29 09:35:15	ga_s2am_ard_3-2-1_55JGG_2024-03-29_final.stac-item
2024-03-29 09:36:13	ga_s2am_ard_3-2-1_55HGC_2024-03-29_final.stac-item
2024-04-01 09:45:10	ga_s2am_ard_3-2-1_55JGG_2024-04-01_final.stac-item
2024-04-08 09:35:14	ga_s2am_ard_3-2-1_55JGG_2024-04-08_final.stac-item
2024-04-08 09:36:12	ga_s2am_ard_3-2-1_55HGC_2024-04-08_final.stac-item
2024-04-11 09:45:12	ga_s2am_ard_3-2-1_55JGG_2024-04-11_final.stac-item
2024-04-18 09:35:18	ga_s2am_ard_3-2-1_55JGG_2024-04-18_final.stac-item
2024-04-18 09:36:16	ga_s2am_ard_3-2-1_55HGC_2024-04-18_nrt.stac-item
2024-04-21 09:45:14	ga_s2am_ard_3-2-1_55JGG_2024-04-21_final.stac-item
2024-04-28 09:35:18	ga_s2am_ard_3-2-1_55JGG_2024-04-28_final.stac-item
2024-04-28 09:36:16	ga_s2am_ard_3-2-1_55HGC_2024-04-28_final.stac-item
2024-05-01 09:45:14	ga_s2am_ard_3-2-1_55JGG_2024-05-01_final.stac-item
2024-05-08 09:35:18	ga_s2am_ard_3-2-1_55JGG_2024-05-08_final.stac-item
2024-05-08 09:36:16	ga_s2am_ard_3-2-1_55HGC_2024-05-08_final.stac-item
2024-05-11 09:45:14	ga_s2am_ard_3-2-1_55JGG_2024-05-11_final.stac-item
2024-05-18 09:35:12	ga_s2am_ard_3-2-1_55JGG_2024-05-18_final.stac-item
2024-05-18 09:36:15	ga_s2am_ard_3-2-1_55HGC_2024-05-18_final.stac-item
2024-05-21 09:45:12	ga_s2am_ard_3-2-1_55JGG_2024-05-21_final.stac-item
2024-05-28 09:35:17	ga_s2am_ard_3-2-1_55JGG_2024-05-28_nrt.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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