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
2020-01-29 11:43:26	ga_s2am_ard_3-2-1_50KRB_2020-01-29_final
2020-03-29 11:43:29	ga_s2am_ard_3-2-1_50KRB_2020-03-29_final
2020-08-06 11:43:39	ga_s2am_ard_3-2-1_50KRB_2020-08-06_final
2020-11-24 11:43:34	ga_s2am_ard_3-2-1_50KRB_2020-11-24_final
2020-12-14 11:43:30	ga_s2am_ard_3-2-1_50KRB_2020-12-14_final
2021-01-03 11:43:26	ga_s2am_ard_3-2-1_50KRB_2021-01-03_final
2021-02-02 11:43:33	ga_s2am_ard_3-2-1_50KRB_2021-02-02_final
2021-02-12 11:43:32	ga_s2am_ard_3-2-1_50KRB_2021-02-12_final
2021-02-22 11:43:32	ga_s2am_ard_3-2-1_50KRB_2021-02-22_final
2021-03-04 11:43:33	ga_s2am_ard_3-2-1_50KRB_2021-03-04_final
2021-03-14 11:43:32	ga_s2am_ard_3-2-1_50KRB_2021-03-14_final
2021-03-24 11:43:31	ga_s2am_ard_3-2-1_50KRB_2021-03-24_final
2021-11-18 12:13:40	ga_s2am_ard_3-2-1_49KHS_2021-11-18_final.stac-item
2021-12-18 12:13:40	ga_s2am_ard_3-2-1_49KHS_2021-12-18_final.stac-item
2021-12-23 09:42:44	ga_s2am_ard_3-2-1_55KHS_2021-12-23_final
2021-12-26 09:52:36	ga_s2am_ard_3-2-1_55KHS_2021-12-26_final
2022-01-02 09:42:45	ga_s2am_ard_3-2-1_55KHS_2022-01-02_final
2022-01-05 09:52:37	ga_s2am_ard_3-2-1_55KHS_2022-01-05_final
2022-01-12 09:42:44	ga_s2am_ard_3-2-1_55KHS_2022-01-12_final
2022-01-15 09:52:36	ga_s2am_ard_3-2-1_55KHS_2022-01-15_final
2022-01-17 12:13:40	ga_s2am_ard_3-2-1_49KHS_2022-01-17_final.stac-item
2022-01-22 09:42:43	ga_s2am_ard_3-2-1_55KHS_2022-01-22_final
2022-01-25 09:52:35	ga_s2am_ard_3-2-1_55KHS_2022-01-25_final
2022-02-01 09:42:43	ga_s2am_ard_3-2-1_55KHS_2022-02-01_final
2022-02-04 09:52:35	ga_s2am_ard_3-2-1_55KHS_2022-02-04_final
2022-02-11 09:42:42	ga_s2am_ard_3-2-1_55KHS_2022-02-11_final
2022-02-14 09:52:35	ga_s2am_ard_3-2-1_55KHS_2022-02-14_final
2022-02-21 09:42:45	ga_s2am_ard_3-2-1_55KHS_2022-02-21_final
2022-02-24 09:52:37	ga_s2am_ard_3-2-1_55KHS_2022-02-24_final
2022-03-03 09:42:47	ga_s2am_ard_3-2-1_55KHS_2022-03-03_final
2022-03-06 09:52:39	ga_s2am_ard_3-2-1_55KHS_2022-03-06_final
2022-03-13 09:42:47	ga_s2am_ard_3-2-1_55KHS_2022-03-13_final
2022-03-16 09:52:39	ga_s2am_ard_3-2-1_55KHS_2022-03-16_final
2022-03-18 12:13:43	ga_s2am_ard_3-2-1_49KHS_2022-03-18_final.stac-item
2022-03-23 09:42:46	ga_s2am_ard_3-2-1_55KHS_2022-03-23_final
2022-03-26 09:52:38	ga_s2am_ard_3-2-1_55KHS_2022-03-26_final
2022-03-28 12:13:42	ga_s2am_ard_3-2-1_49KHS_2022-03-28_final.stac-item
2022-04-02 09:42:45	ga_s2am_ard_3-2-1_55KHS_2022-04-02_final
2022-04-05 09:52:36	ga_s2am_ard_3-2-1_55KHS_2022-04-05_final
2022-04-07 12:13:41	ga_s2am_ard_3-2-1_49KHS_2022-04-07_final.stac-item
2022-04-12 09:42:45	ga_s2am_ard_3-2-1_55KHS_2022-04-12_final
2022-04-15 09:52:38	ga_s2am_ard_3-2-1_55KHS_2022-04-15_final
2022-04-17 12:13:43	ga_s2am_ard_3-2-1_49KHS_2022-04-17_final.stac-item
2022-04-22 09:42:48	ga_s2am_ard_3-2-1_55KHS_2022-04-22_final
2022-04-25 09:52:40	ga_s2am_ard_3-2-1_55KHS_2022-04-25_final
2022-05-02 09:42:48	ga_s2am_ard_3-2-1_55KHS_2022-05-02_final
2022-05-05 09:52:40	ga_s2am_ard_3-2-1_55KHS_2022-05-05_final
2022-05-07 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-05-07_final.stac-item
2022-05-12 09:42:47	ga_s2am_ard_3-2-1_55KHS_2022-05-12_final
2022-05-15 09:52:39	ga_s2am_ard_3-2-1_55KHS_2022-05-15_final
2022-05-22 09:42:50	ga_s2am_ard_3-2-1_55KHS_2022-05-22_final
2022-05-25 09:52:42	ga_s2am_ard_3-2-1_55KHS_2022-05-25_final
2022-06-01 09:42:51	ga_s2am_ard_3-2-1_55KHS_2022-06-01_final
2022-06-04 09:52:43	ga_s2am_ard_3-2-1_55KHS_2022-06-04_final
2022-06-11 09:42:53	ga_s2am_ard_3-2-1_55KHS_2022-06-11_final
2022-06-14 09:52:45	ga_s2am_ard_3-2-1_55KHS_2022-06-14_final
2022-06-16 12:13:51	ga_s2am_ard_3-2-1_49KHS_2022-06-16_final.stac-item
2022-06-21 09:42:55	ga_s2am_ard_3-2-1_55KHS_2022-06-21_final
2022-06-26 12:13:52	ga_s2am_ard_3-2-1_49KHS_2022-06-26_final.stac-item
2022-07-01 09:42:56	ga_s2am_ard_3-2-1_55KHS_2022-07-01_final
2022-07-04 09:52:48	ga_s2am_ard_3-2-1_55KHS_2022-07-04_final
2022-07-06 12:13:53	ga_s2am_ard_3-2-1_49KHS_2022-07-06_final.stac-item
2022-07-11 09:42:56	ga_s2am_ard_3-2-1_55KHS_2022-07-11_final
2022-07-14 09:52:47	ga_s2am_ard_3-2-1_55KHS_2022-07-14_final
2022-07-21 09:42:55	ga_s2am_ard_3-2-1_55KHS_2022-07-21_final
2022-07-24 09:52:46	ga_s2am_ard_3-2-1_55KHS_2022-07-24_final
2022-07-26 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-07-26_final.stac-item
2022-07-31 09:42:53	ga_s2am_ard_3-2-1_55KHS_2022-07-31_final
2022-08-03 09:52:46	ga_s2am_ard_3-2-1_55KHS_2022-08-03_final
2022-08-05 12:13:51	ga_s2am_ard_3-2-1_49KHS_2022-08-05_final.stac-item
2022-08-13 09:52:47	ga_s2am_ard_3-2-1_55KHS_2022-08-13_final
2022-08-20 09:42:56	ga_s2am_ard_3-2-1_55KHS_2022-08-20_final
2022-08-23 09:52:47	ga_s2am_ard_3-2-1_55KHS_2022-08-23_final
2022-08-25 12:13:52	ga_s2am_ard_3-2-1_49KHS_2022-08-25_final.stac-item
2022-08-30 09:42:56	ga_s2am_ard_3-2-1_55KHS_2022-08-30_final
2022-09-04 12:13:52	ga_s2am_ard_3-2-1_49KHS_2022-09-04_final.stac-item
2022-09-14 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-09-14_final.stac-item
2022-10-04 12:13:47	ga_s2am_ard_3-2-1_49KHS_2022-10-04_final.stac-item
2022-10-24 12:13:42	ga_s2am_ard_3-2-1_49KHS_2022-10-24_final.stac-item
2022-11-13 12:13:43	ga_s2am_ard_3-2-1_49KHS_2022-11-13_final.stac-item
2022-12-03 12:13:40	ga_s2am_ard_3-2-1_49KHS_2022-12-03_final.stac-item
2022-12-13 12:13:40	ga_s2am_ard_3-2-1_49KHS_2022-12-13_final.stac-item
2023-01-12 12:13:38	ga_s2am_ard_3-2-1_49KHS_2023-01-12_final.stac-item
2023-02-11 12:13:38	ga_s2am_ard_3-2-1_49KHS_2023-02-11_final.stac-item
2023-02-21 12:13:37	ga_s2am_ard_3-2-1_49KHS_2023-02-21_final.stac-item
2023-03-03 12:13:35	ga_s2am_ard_3-2-1_50KKB_2023-03-03_final.stac-item
2023-03-13 12:13:36	ga_s2am_ard_3-2-1_49KHS_2023-03-13_final.stac-item
2023-03-23 12:13:38	ga_s2am_ard_3-2-1_49KHS_2023-03-23_final.stac-item
2023-04-02 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-04-02_final.stac-item
2023-04-12 12:13:40	ga_s2am_ard_3-2-1_49KHS_2023-04-12_final.stac-item
2023-04-22 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-04-22_final.stac-item
2023-05-02 12:13:40	ga_s2am_ard_3-2-1_49KHS_2023-05-02_final.stac-item
2023-05-12 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-05-12_final.stac-item
2023-05-22 12:13:43	ga_s2am_ard_3-2-1_49KHS_2023-05-22_final.stac-item
2023-06-01 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-06-01_final.stac-item
2023-06-11 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-06-11_final.stac-item
2023-06-21 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-06-21_final.stac-item
2023-07-01 12:13:37	ga_s2am_ard_3-2-1_49KHS_2023-07-01_final.stac-item
2023-07-01 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-07-01_final.stac-item
2023-07-11 12:13:45	ga_s2am_ard_3-2-1_49KHS_2023-07-11_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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