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
2020-10-10 10:55:55	ga_s2am_ard_3-2-1_52JEM_2020-10-10_final
2020-10-13 11:05:50	ga_s2am_ard_3-2-1_52JEM_2020-10-13_final
2020-10-20 10:55:54	ga_s2am_ard_3-2-1_52JEM_2020-10-20_final
2020-10-23 11:05:50	ga_s2am_ard_3-2-1_52JEM_2020-10-23_final
2020-10-30 10:55:54	ga_s2am_ard_3-2-1_52JEM_2020-10-30_final
2020-11-02 11:05:50	ga_s2am_ard_3-2-1_52JEM_2020-11-02_final
2020-11-09 10:55:53	ga_s2am_ard_3-2-1_52JEM_2020-11-09_final
2020-11-12 11:05:49	ga_s2am_ard_3-2-1_52JEM_2020-11-12_final
2020-11-19 10:55:52	ga_s2am_ard_3-2-1_52JEM_2020-11-19_final
2020-11-22 11:05:47	ga_s2am_ard_3-2-1_52JEM_2020-11-22_final
2020-11-29 10:55:49	ga_s2am_ard_3-2-1_52JEM_2020-11-29_final
2020-12-02 11:05:44	ga_s2am_ard_3-2-1_52JEM_2020-12-02_final
2020-12-09 10:55:46	ga_s2am_ard_3-2-1_52JEM_2020-12-09_final
2020-12-12 11:05:41	ga_s2am_ard_3-2-1_52JEM_2020-12-12_final
2020-12-19 10:55:47	ga_s2am_ard_3-2-1_52JEM_2020-12-19_final
2020-12-22 11:05:35	ga_s2am_ard_3-2-1_52JEM_2020-12-22_final
2020-12-22 11:05:43	ga_s2am_ard_3-2-1_52JEM_2020-12-22_final
2021-01-01 11:05:45	ga_s2am_ard_3-2-1_52JEM_2021-01-01_final
2021-01-08 10:55:50	ga_s2am_ard_3-2-1_52JEM_2021-01-08_final
2021-01-11 11:05:45	ga_s2am_ard_3-2-1_52JEM_2021-01-11_final
2021-01-18 10:55:50	ga_s2am_ard_3-2-1_52JEM_2021-01-18_final
2021-01-21 11:05:45	ga_s2am_ard_3-2-1_52JEM_2021-01-21_final
2021-01-28 10:55:49	ga_s2am_ard_3-2-1_52JEM_2021-01-28_final
2021-01-31 11:05:45	ga_s2am_ard_3-2-1_52JEM_2021-01-31_final
2021-02-07 10:55:48	ga_s2am_ard_3-2-1_52JEM_2021-02-07_final
2021-02-10 11:05:44	ga_s2am_ard_3-2-1_52JEM_2021-02-10_final
2021-02-17 10:55:48	ga_s2am_ard_3-2-1_52JEM_2021-02-17_final
2021-02-20 11:05:44	ga_s2am_ard_3-2-1_52JEM_2021-02-20_final
2021-02-27 10:55:49	ga_s2am_ard_3-2-1_52JEM_2021-02-27_final
2021-03-02 11:05:45	ga_s2am_ard_3-2-1_52JEM_2021-03-02_final
2021-03-09 10:55:49	ga_s2am_ard_3-2-1_52JEM_2021-03-09_final
2021-03-12 11:05:44	ga_s2am_ard_3-2-1_52JEM_2021-03-12_final
2021-03-19 10:55:48	ga_s2am_ard_3-2-1_52JEM_2021-03-19_final
2021-03-22 11:05:43	ga_s2am_ard_3-2-1_52JEM_2021-03-22_final
2021-03-29 10:55:47	ga_s2am_ard_3-2-1_52JEM_2021-03-29_final
2021-04-01 11:05:42	ga_s2am_ard_3-2-1_52JEM_2021-04-01_final
2021-04-08 10:55:45	ga_s2am_ard_3-2-1_52JEM_2021-04-08_final
2021-04-11 11:05:40	ga_s2am_ard_3-2-1_52JEM_2021-04-11_final
2021-04-18 10:55:43	ga_s2am_ard_3-2-1_52JEM_2021-04-18_final
2021-04-21 11:05:40	ga_s2am_ard_3-2-1_52JEM_2021-04-21_final
2021-04-28 10:55:46	ga_s2am_ard_3-2-1_52JEM_2021-04-28_final
2021-05-01 11:05:42	ga_s2am_ard_3-2-1_52JEM_2021-05-01_final
2021-05-08 10:55:48	ga_s2am_ard_3-2-1_52JEM_2021-05-08_final
2021-05-11 11:05:44	ga_s2am_ard_3-2-1_52JEM_2021-05-11_final
2021-05-18 10:55:49	ga_s2am_ard_3-2-1_52JEM_2021-05-18_final
2021-05-21 11:05:45	ga_s2am_ard_3-2-1_52JEM_2021-05-21_final
2021-05-28 10:55:50	ga_s2am_ard_3-2-1_52JEM_2021-05-28_final
2021-05-31 11:05:46	ga_s2am_ard_3-2-1_52JEM_2021-05-31_final
2021-06-07 10:55:44	ga_s2am_ard_3-2-1_52JEM_2021-06-07_final
2021-06-13 11:10:33	ga_s2am_ard_3-2-1_52LFN_2021-06-13_final.stac-item
2021-06-17 10:55:35	ga_s2am_ard_3-2-1_52JEN_2021-06-17_final
2021-06-20 11:05:31	ga_s2am_ard_3-2-1_52JEN_2021-06-20_final
2021-06-30 11:05:32	ga_s2am_ard_3-2-1_52JEN_2021-06-30_final
2021-07-03 11:10:35	ga_s2am_ard_3-2-1_52LFN_2021-07-03_final.stac-item
2021-07-10 11:05:33	ga_s2am_ard_3-2-1_52JEN_2021-07-10_final
2021-07-13 11:10:35	ga_s2am_ard_3-2-1_52LFN_2021-07-13_final.stac-item
2021-07-17 10:55:38	ga_s2am_ard_3-2-1_52JEN_2021-07-17_final
2021-08-06 10:55:37	ga_s2am_ard_3-2-1_52JEN_2021-08-06_final
2021-08-26 10:55:36	ga_s2am_ard_3-2-1_52JEN_2021-08-26_final
2021-09-01 11:10:34	ga_s2am_ard_3-2-1_52LFN_2021-09-01_final.stac-item
2021-09-05 10:55:35	ga_s2am_ard_3-2-1_52JEN_2021-09-05_final
2021-09-18 11:05:33	ga_s2am_ard_3-2-1_52JEN_2021-09-18_final
2021-09-21 11:10:35	ga_s2am_ard_3-2-1_52LFN_2021-09-21_final.stac-item
2021-10-05 10:55:39	ga_s2am_ard_3-2-1_52JEN_2021-10-05_final
2021-10-15 10:55:40	ga_s2am_ard_3-2-1_52JEN_2021-10-15_final
2021-10-18 11:05:36	ga_s2am_ard_3-2-1_52JEN_2021-10-18_final
2021-10-25 10:55:40	ga_s2am_ard_3-2-1_52JEN_2021-10-25_final
2021-10-28 11:05:35	ga_s2am_ard_3-2-1_52JEN_2021-10-28_final
2021-10-31 11:10:37	ga_s2am_ard_3-2-1_52LFN_2021-10-31_final.stac-item
2021-11-04 10:55:38	ga_s2am_ard_3-2-1_52JEN_2021-11-04_final
2021-11-07 11:05:34	ga_s2am_ard_3-2-1_52JEN_2021-11-07_final
2021-11-10 11:10:35	ga_s2am_ard_3-2-1_52LFN_2021-11-10_final.stac-item
2021-11-14 10:55:36	ga_s2am_ard_3-2-1_52JEN_2021-11-14_final
2021-11-17 11:05:31	ga_s2am_ard_3-2-1_52JEN_2021-11-17_final
2021-11-20 11:10:32	ga_s2am_ard_3-2-1_52LFN_2021-11-20_final.stac-item
2021-11-24 10:55:35	ga_s2am_ard_3-2-1_52JEN_2021-11-24_final
2021-11-27 11:05:30	ga_s2am_ard_3-2-1_52JEN_2021-11-27_final
2021-11-30 11:10:32	ga_s2am_ard_3-2-1_52LFN_2021-11-30_final.stac-item
2021-12-04 10:55:34	ga_s2am_ard_3-2-1_52JEN_2021-12-04_final
2021-12-07 11:05:29	ga_s2am_ard_3-2-1_52JEN_2021-12-07_final
2021-12-14 10:55:34	ga_s2am_ard_3-2-1_52JEN_2021-12-14_final
2021-12-17 11:05:30	ga_s2am_ard_3-2-1_52JEN_2021-12-17_final
2021-12-17 11:05:36	ga_s2am_ard_3-2-1_52JEN_2021-12-17_final
2021-12-24 10:55:36	ga_s2am_ard_3-2-1_52JEN_2021-12-24_final
2021-12-27 11:05:32	ga_s2am_ard_3-2-1_52JEN_2021-12-27_final
2022-01-03 10:55:36	ga_s2am_ard_3-2-1_52JEN_2022-01-03_final
2022-01-06 11:05:32	ga_s2am_ard_3-2-1_52JEN_2022-01-06_final
2022-01-13 10:55:36	ga_s2am_ard_3-2-1_52JEN_2022-01-13_final
2022-03-20 11:10:36	ga_s2am_ard_3-2-1_52LFN_2022-03-20_final.stac-item
2022-04-29 11:10:37	ga_s2am_ard_3-2-1_52LFN_2022-04-29_final.stac-item
2022-05-29 11:10:40	ga_s2am_ard_3-2-1_52LFN_2022-05-29_final.stac-item
2022-06-08 11:10:41	ga_s2am_ard_3-2-1_52LFN_2022-06-08_final.stac-item
2022-06-18 11:10:44	ga_s2am_ard_3-2-1_52LFN_2022-06-18_final.stac-item
2022-07-08 11:10:45	ga_s2am_ard_3-2-1_52LFN_2022-07-08_final.stac-item
2022-07-18 11:10:44	ga_s2am_ard_3-2-1_52LFN_2022-07-18_final.stac-item
2022-07-28 11:10:42	ga_s2am_ard_3-2-1_52LFN_2022-07-28_final.stac-item
2022-08-17 11:10:45	ga_s2am_ard_3-2-1_52LFN_2022-08-17_final.stac-item
2022-08-27 11:10:45	ga_s2am_ard_3-2-1_52LFN_2022-08-27_final.stac-item
2022-09-16 11:10:42	ga_s2am_ard_3-2-1_52LFN_2022-09-16_final.stac-item
2022-09-26 11:10:39	ga_s2am_ard_3-2-1_52LFN_2022-09-26_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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