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
2015-10-22 10:01:26	ga_s2am_ard_3-2-1_55JCL_2015-10-22_final.stac-item
2015-12-11 09:59:08	ga_s2am_ard_3-2-1_55JCL_2015-12-11_final.stac-item
2016-02-09 10:03:07	ga_s2am_ard_3-2-1_55JCL_2016-02-09_final.stac-item
2016-03-10 10:00:28	ga_s2am_ard_3-2-1_55JCL_2016-03-10_final.stac-item
2016-04-09 10:01:01	ga_s2am_ard_3-2-1_55JCL_2016-04-09_final.stac-item
2016-05-19 10:01:47	ga_s2am_ard_3-2-1_55JCL_2016-05-19_final.stac-item
2016-06-08 10:01:45	ga_s2am_ard_3-2-1_55JCL_2016-06-08_final.stac-item
2016-06-28 10:01:43	ga_s2am_ard_3-2-1_55JCL_2016-06-28_final.stac-item
2016-07-18 10:01:45	ga_s2am_ard_3-2-1_55JCL_2016-07-18_final.stac-item
2016-08-07 10:01:45	ga_s2am_ard_3-2-1_55JCL_2016-08-07_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_55JCL_2016-08-27_final.stac-item
2016-09-16 10:01:37	ga_s2am_ard_3-2-1_55JCL_2016-09-16_final.stac-item
2016-10-06 10:01:37	ga_s2am_ard_3-2-1_55JCL_2016-10-06_final.stac-item
2016-10-26 10:01:20	ga_s2am_ard_3-2-1_55JCL_2016-10-26_final.stac-item
2016-11-15 10:03:10	ga_s2am_ard_3-2-1_55JCL_2016-11-15_final.stac-item
2016-11-25 10:00:42	ga_s2am_ard_3-2-1_55JCL_2016-11-25_final.stac-item
2016-12-05 09:59:28	ga_s2am_ard_3-2-1_55JCL_2016-12-05_final.stac-item
2016-12-05 10:04:17	ga_s2am_ard_3-2-1_55JCL_2016-12-05_final.stac-item
2017-01-04 10:04:10	ga_s2am_ard_3-2-1_55JCL_2017-01-04_final
2017-01-14 10:03:57	ga_s2am_ard_3-2-1_55JCL_2017-01-14_final
2017-02-23 10:00:59	ga_s2am_ard_3-2-1_55JCL_2017-02-23_final
2017-03-15 10:01:07	ga_s2am_ard_3-2-1_55JCL_2017-03-15_final
2017-04-24 10:01:18	ga_s2am_ard_3-2-1_55JCL_2017-04-24_final.stac-item
2022-02-17 10:04:19	ga_s2am_ard_3-2-1_55JCL_2022-02-17_final
2022-03-29 10:04:21	ga_s2am_ard_3-2-1_55JCL_2022-03-29_final
2022-04-08 10:04:19	ga_s2am_ard_3-2-1_55JCL_2022-04-08_final
2022-04-18 10:04:22	ga_s2am_ard_3-2-1_55JCL_2022-04-18_final
2022-04-28 10:04:24	ga_s2am_ard_3-2-1_55JCL_2022-04-28_final
2022-05-08 10:04:23	ga_s2am_ard_3-2-1_55JCL_2022-05-08_final
2022-05-18 10:04:24	ga_s2am_ard_3-2-1_55JCL_2022-05-18_final
2022-05-28 10:04:26	ga_s2am_ard_3-2-1_55JCL_2022-05-28_final
2022-06-07 10:04:27	ga_s2am_ard_3-2-1_55JCL_2022-06-07_final
2022-06-17 10:04:30	ga_s2am_ard_3-2-1_55JCL_2022-06-17_final
2022-06-27 10:04:31	ga_s2am_ard_3-2-1_55JCL_2022-06-27_final
2022-07-07 10:04:32	ga_s2am_ard_3-2-1_55JCL_2022-07-07_final
2022-07-17 10:04:31	ga_s2am_ard_3-2-1_55JCL_2022-07-17_final
2022-07-27 10:04:28	ga_s2am_ard_3-2-1_55JCL_2022-07-27_final
2022-08-06 10:04:30	ga_s2am_ard_3-2-1_55JCL_2022-08-06_final
2022-08-26 10:04:31	ga_s2am_ard_3-2-1_55JCL_2022-08-26_final
2022-09-05 10:04:30	ga_s2am_ard_3-2-1_55JCL_2022-09-05_final.stac-item
2022-09-15 10:04:28	ga_s2am_ard_3-2-1_55JCL_2022-09-15_final.stac-item
2022-09-25 10:04:26	ga_s2am_ard_3-2-1_55JCL_2022-09-25_final.stac-item
2022-10-05 10:04:25	ga_s2am_ard_3-2-1_55JCL_2022-10-05_final.stac-item
2022-10-15 10:04:23	ga_s2am_ard_3-2-1_55JCL_2022-10-15_final.stac-item
2022-10-25 10:04:21	ga_s2am_ard_3-2-1_55JCL_2022-10-25_final.stac-item
2022-11-04 10:04:23	ga_s2am_ard_3-2-1_55JCL_2022-11-04_final.stac-item
2022-11-14 10:04:21	ga_s2am_ard_3-2-1_55JCL_2022-11-14_final.stac-item
2022-11-24 10:04:18	ga_s2am_ard_3-2-1_55JCL_2022-11-24_final.stac-item
2022-12-04 10:04:19	ga_s2am_ard_3-2-1_55JCL_2022-12-04_final.stac-item
2022-12-14 10:04:18	ga_s2am_ard_3-2-1_55JCL_2022-12-14_final.stac-item
2022-12-24 10:04:16	ga_s2am_ard_3-2-1_55JCL_2022-12-24_final.stac-item
2023-01-03 10:04:18	ga_s2am_ard_3-2-1_55JCL_2023-01-03_final.stac-item
2023-01-13 10:04:16	ga_s2am_ard_3-2-1_55JCL_2023-01-13_final.stac-item
2023-01-23 10:04:15	ga_s2am_ard_3-2-1_55JCL_2023-01-23_final.stac-item
2023-02-02 10:04:17	ga_s2am_ard_3-2-1_55JCL_2023-02-02_final.stac-item
2023-02-12 10:04:17	ga_s2am_ard_3-2-1_55JCL_2023-02-12_final.stac-item
2023-02-22 10:04:16	ga_s2am_ard_3-2-1_55JCL_2023-02-22_final.stac-item
2023-03-04 10:04:15	ga_s2am_ard_3-2-1_55JCL_2023-03-04_final.stac-item
2023-03-14 10:04:15	ga_s2am_ard_3-2-1_55JCL_2023-03-14_final.stac-item
2023-03-24 10:04:17	ga_s2am_ard_3-2-1_55JCL_2023-03-24_final.stac-item
2023-04-03 10:04:18	ga_s2am_ard_3-2-1_55JCL_2023-04-03_final.stac-item
2023-04-13 10:04:19	ga_s2am_ard_3-2-1_55JCL_2023-04-13_final.stac-item
2023-04-23 10:04:18	ga_s2am_ard_3-2-1_55JCL_2023-04-23_final.stac-item
2023-05-03 10:04:19	ga_s2am_ard_3-2-1_55JCL_2023-05-03_final.stac-item
2023-05-13 10:04:18	ga_s2am_ard_3-2-1_55JCL_2023-05-13_final.stac-item
2023-05-23 10:04:22	ga_s2am_ard_3-2-1_55JCL_2023-05-23_final.stac-item
2023-06-02 10:04:22	ga_s2am_ard_3-2-1_55JCL_2023-06-02_final.stac-item
2023-06-12 10:04:23	ga_s2am_ard_3-2-1_55JCL_2023-06-12_final.stac-item
2023-06-22 10:04:22	ga_s2am_ard_3-2-1_55JCL_2023-06-22_final.stac-item
2023-07-02 10:04:23	ga_s2am_ard_3-2-1_55JCL_2023-07-02_final.stac-item
2023-07-12 10:04:24	ga_s2am_ard_3-2-1_55JCL_2023-07-12_final.stac-item
2023-07-22 10:04:23	ga_s2am_ard_3-2-1_55JCL_2023-07-22_final.stac-item
2023-08-01 10:04:24	ga_s2am_ard_3-2-1_55JCL_2023-08-01_final.stac-item
2023-08-11 10:04:23	ga_s2am_ard_3-2-1_55JCL_2023-08-11_final.stac-item
2023-08-21 10:04:25	ga_s2am_ard_3-2-1_55JCL_2023-08-21_final.stac-item
2023-08-31 10:04:24	ga_s2am_ard_3-2-1_55JCL_2023-08-31_final.stac-item
2023-09-10 10:04:24	ga_s2am_ard_3-2-1_55JCL_2023-09-10_final.stac-item
2023-09-20 10:04:21	ga_s2am_ard_3-2-1_55JCL_2023-09-20_final.stac-item
2023-09-30 10:04:21	ga_s2am_ard_3-2-1_55JCL_2023-09-30_final.stac-item
2023-10-10 10:04:18	ga_s2am_ard_3-2-1_55JCL_2023-10-10_final.stac-item
2023-10-20 10:04:18	ga_s2am_ard_3-2-1_55JCL_2023-10-20_final.stac-item
2023-10-30 10:04:18	ga_s2am_ard_3-2-1_55JCL_2023-10-30_final.stac-item
2023-11-09 10:04:18	ga_s2am_ard_3-2-1_55JCL_2023-11-09_final.stac-item
2023-11-19 10:04:16	ga_s2am_ard_3-2-1_55JCL_2023-11-19_final.stac-item
2023-12-09 10:04:13	ga_s2am_ard_3-2-1_55JCL_2023-12-09_final.stac-item
2023-12-19 10:04:15	ga_s2am_ard_3-2-1_55JCL_2023-12-19_final.stac-item
2023-12-29 10:04:16	ga_s2am_ard_3-2-1_55JCL_2023-12-29_final.stac-item
2024-01-08 10:04:14	ga_s2am_ard_3-2-1_55JCL_2024-01-08_final.stac-item
2024-01-28 10:04:13	ga_s2am_ard_3-2-1_55JCL_2024-01-28_final.stac-item
2024-02-07 10:04:14	ga_s2am_ard_3-2-1_55JCL_2024-02-07_final.stac-item
2024-02-17 10:04:16	ga_s2am_ard_3-2-1_55JCL_2024-02-17_final.stac-item
2024-02-27 10:04:18	ga_s2am_ard_3-2-1_55JCL_2024-02-27_final.stac-item
2024-03-08 10:04:19	ga_s2am_ard_3-2-1_55JCL_2024-03-08_final.stac-item
2024-03-18 10:04:19	ga_s2am_ard_3-2-1_55JCL_2024-03-18_final.stac-item
2024-03-28 10:04:19	ga_s2am_ard_3-2-1_55JCL_2024-03-28_final.stac-item
2024-04-07 10:04:17	ga_s2am_ard_3-2-1_55JCL_2024-04-07_final.stac-item
2024-04-17 10:04:21	ga_s2am_ard_3-2-1_55JCL_2024-04-17_final.stac-item
2024-04-27 10:04:21	ga_s2am_ard_3-2-1_55JCL_2024-04-27_final.stac-item
2024-05-07 10:04:21	ga_s2am_ard_3-2-1_55JCL_2024-05-07_final.stac-item
2024-05-17 10:04:21	ga_s2am_ard_3-2-1_55JCL_2024-05-17_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

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