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
2021-02-10 09:28:43	ga_s2am_ard_3-2-1_55GFN_2021-02-09_final
2021-03-05 09:38:41	ga_s2am_ard_3-2-1_55GFN_2021-03-05_final
2021-03-15 09:38:40	ga_s2am_ard_3-2-1_55GFN_2021-03-15_final
2021-03-25 09:38:39	ga_s2am_ard_3-2-1_55GFN_2021-03-25_final
2021-04-01 09:28:42	ga_s2am_ard_3-2-1_55GFN_2021-03-31_final
2021-04-24 09:38:37	ga_s2am_ard_3-2-1_55GFN_2021-04-24_final
2021-05-01 09:28:42	ga_s2am_ard_3-2-1_55GFN_2021-04-30_final
2021-05-04 09:38:39	ga_s2am_ard_3-2-1_55GFN_2021-05-04_final
2021-05-21 09:28:45	ga_s2am_ard_3-2-1_55GFN_2021-05-20_final
2021-06-10 09:28:45	ga_s2am_ard_3-2-1_55GFN_2021-06-09_final
2021-06-23 09:38:42	ga_s2am_ard_3-2-1_55GFN_2021-06-23_final
2021-08-12 09:38:43	ga_s2am_ard_3-2-1_55GFN_2021-08-12_final
2021-09-08 09:28:45	ga_s2am_ard_3-2-1_55GFN_2021-09-07_final
2021-09-11 09:38:41	ga_s2am_ard_3-2-1_55GFN_2021-09-11_final
2021-09-18 09:28:47	ga_s2am_ard_3-2-1_55GFN_2021-09-17_final
2021-09-21 09:38:44	ga_s2am_ard_3-2-1_55GFN_2021-09-21_final
2021-09-28 09:28:49	ga_s2am_ard_3-2-1_55GFN_2021-09-27_final
2021-10-01 09:38:45	ga_s2am_ard_3-2-1_55GFN_2021-10-01_final
2021-10-08 09:28:50	ga_s2am_ard_3-2-1_55GFN_2021-10-07_final
2021-10-11 09:38:46	ga_s2am_ard_3-2-1_55GFN_2021-10-11_final
2021-10-18 09:28:50	ga_s2am_ard_3-2-1_55GFN_2021-10-17_final
2021-10-21 09:38:46	ga_s2am_ard_3-2-1_55GFN_2021-10-21_final
2021-10-28 09:28:49	ga_s2am_ard_3-2-1_55GFN_2021-10-27_final
2021-10-31 09:38:45	ga_s2am_ard_3-2-1_55GFN_2021-10-31_final
2021-11-07 09:28:48	ga_s2am_ard_3-2-1_55GFN_2021-11-06_final
2021-11-17 09:28:45	ga_s2am_ard_3-2-1_55GFN_2021-11-16_final
2021-11-20 09:38:41	ga_s2am_ard_3-2-1_55GFN_2021-11-20_final
2021-11-27 09:28:45	ga_s2am_ard_3-2-1_55GFN_2021-11-26_final
2021-11-30 09:38:41	ga_s2am_ard_3-2-1_55GFN_2021-11-30_final
2021-12-07 09:28:44	ga_s2am_ard_3-2-1_55GFN_2021-12-06_final
2021-12-10 09:38:39	ga_s2am_ard_3-2-1_55GFN_2021-12-10_final
2021-12-17 09:28:45	ga_s2am_ard_3-2-1_55GFN_2021-12-16_final
2021-12-20 09:38:42	ga_s2am_ard_3-2-1_55GFN_2021-12-20_final
2021-12-27 09:28:46	ga_s2am_ard_3-2-1_55GFN_2021-12-26_final
2021-12-30 09:38:42	ga_s2am_ard_3-2-1_55GFN_2021-12-30_final
2022-01-06 09:28:46	ga_s2am_ard_3-2-1_55GFN_2022-01-05_final
2022-01-09 09:38:42	ga_s2am_ard_3-2-1_55GFN_2022-01-09_final
2022-01-16 09:28:45	ga_s2am_ard_3-2-1_55GFN_2022-01-15_final
2022-01-26 09:28:45	ga_s2am_ard_3-2-1_55GFN_2022-01-25_final
2022-01-29 09:38:41	ga_s2am_ard_3-2-1_55GFN_2022-01-29_final
2022-02-05 09:28:44	ga_s2am_ard_3-2-1_55GFN_2022-02-04_final
2022-02-08 09:38:40	ga_s2am_ard_3-2-1_55GFN_2022-02-08_final
2022-02-15 09:28:45	ga_s2am_ard_3-2-1_55GFN_2022-02-14_final
2022-02-18 09:38:38	ga_s2am_ard_3-2-1_55GFN_2022-02-18_final
2022-02-18 09:38:44	ga_s2am_ard_3-2-1_55GFN_2022-02-18_final
2022-02-25 09:28:47	ga_s2am_ard_3-2-1_55GFN_2022-02-24_final
2022-02-28 09:38:44	ga_s2am_ard_3-2-1_55GFN_2022-02-28_final
2022-03-07 09:28:49	ga_s2am_ard_3-2-1_55GFN_2022-03-06_final
2022-03-10 09:38:45	ga_s2am_ard_3-2-1_55GFN_2022-03-10_final
2022-03-17 09:28:48	ga_s2am_ard_3-2-1_55GFN_2022-03-16_final
2022-03-20 09:38:44	ga_s2am_ard_3-2-1_55GFN_2022-03-20_final
2022-03-27 09:28:47	ga_s2am_ard_3-2-1_55GFN_2022-03-26_final
2022-03-30 09:38:43	ga_s2am_ard_3-2-1_55GFN_2022-03-30_final
2022-04-06 09:28:46	ga_s2am_ard_3-2-1_55GFN_2022-04-05_final
2022-04-09 09:38:42	ga_s2am_ard_3-2-1_55GFN_2022-04-09_final
2022-04-16 09:28:48	ga_s2am_ard_3-2-1_55GFN_2022-04-15_final
2022-04-19 09:38:45	ga_s2am_ard_3-2-1_55GFN_2022-04-19_final
2022-04-29 09:38:46	ga_s2am_ard_3-2-1_55GFN_2022-04-29_final
2022-05-06 09:28:49	ga_s2am_ard_3-2-1_55GFN_2022-05-05_final
2022-05-09 09:38:45	ga_s2am_ard_3-2-1_55GFN_2022-05-09_final
2022-05-16 09:28:49	ga_s2am_ard_3-2-1_55GFN_2022-05-15_final
2022-05-19 09:38:47	ga_s2am_ard_3-2-1_55GFN_2022-05-19_final
2022-05-26 09:28:52	ga_s2am_ard_3-2-1_55GFN_2022-05-25_final
2022-05-29 09:38:48	ga_s2am_ard_3-2-1_55GFN_2022-05-29_final
2022-06-05 09:28:52	ga_s2am_ard_3-2-1_55GFN_2022-06-04_final
2022-06-08 09:38:49	ga_s2am_ard_3-2-1_55GFN_2022-06-08_final
2022-06-15 09:28:55	ga_s2am_ard_3-2-1_55GFN_2022-06-14_final
2022-06-18 09:38:52	ga_s2am_ard_3-2-1_55GFN_2022-06-18_final
2022-06-25 09:28:57	ga_s2am_ard_3-2-1_55GFN_2022-06-24_final
2022-06-28 09:38:54	ga_s2am_ard_3-2-1_55GFN_2022-06-28_final
2022-07-05 09:28:56	ga_s2am_ard_3-2-1_55GFN_2022-07-04_final
2022-07-08 09:38:54	ga_s2am_ard_3-2-1_55GFN_2022-07-08_final
2022-07-15 09:28:55	ga_s2am_ard_3-2-1_55GFN_2022-07-14_final
2022-07-18 09:38:53	ga_s2am_ard_3-2-1_55GFN_2022-07-18_final
2022-07-25 09:28:55	ga_s2am_ard_3-2-1_55GFN_2022-07-24_final
2022-07-28 09:38:50	ga_s2am_ard_3-2-1_55GFN_2022-07-28_final
2022-08-04 09:28:55	ga_s2am_ard_3-2-1_55GFN_2022-08-03_final
2022-08-07 09:38:52	ga_s2am_ard_3-2-1_55GFN_2022-08-07_final
2022-08-14 09:28:57	ga_s2am_ard_3-2-1_55GFN_2022-08-13_final
2022-08-17 09:38:49	ga_s2am_ard_3-2-1_55GFN_2022-08-17_final
2022-08-17 09:38:55	ga_s2am_ard_3-2-1_55GFN_2022-08-17_final
2022-08-24 09:29:02	ga_s2am_ard_3-2-1_55GFN_2022-08-23_final
2023-02-13 09:38:39	ga_s2am_ard_3-2-1_55GFN_2023-02-13_final.stac-item
2023-02-20 09:28:42	ga_s2am_ard_3-2-1_55GFN_2023-02-19_final.stac-item
2023-02-23 09:38:38	ga_s2am_ard_3-2-1_55GFN_2023-02-23_final.stac-item
2023-03-02 09:28:42	ga_s2am_ard_3-2-1_55GFN_2023-03-01_final.stac-item
2023-03-05 09:38:38	ga_s2am_ard_3-2-1_55GFN_2023-03-05_final.stac-item
2023-03-12 09:28:40	ga_s2am_ard_3-2-1_55GFN_2023-03-11_final.stac-item
2023-03-15 09:38:38	ga_s2am_ard_3-2-1_55GFN_2023-03-15_final.stac-item
2023-03-25 09:38:39	ga_s2am_ard_3-2-1_55GFN_2023-03-25_final.stac-item
2023-04-01 09:28:43	ga_s2am_ard_3-2-1_55GFN_2023-03-31_final.stac-item
2023-05-11 09:28:44	ga_s2am_ard_3-2-1_55GFN_2023-05-10_final.stac-item
2023-05-14 09:38:41	ga_s2am_ard_3-2-1_55GFN_2023-05-14_final.stac-item
2023-05-21 09:28:47	ga_s2am_ard_3-2-1_55GFN_2023-05-20_final.stac-item
2023-10-18 09:28:44	ga_s2am_ard_3-2-1_55GFN_2023-10-17_final.stac-item
2023-10-21 09:38:41	ga_s2am_ard_3-2-1_55GFN_2023-10-21_final.stac-item
2023-10-28 09:28:44	ga_s2am_ard_3-2-1_55GFN_2023-10-27_final.stac-item
2023-10-31 09:38:40	ga_s2am_ard_3-2-1_55GFN_2023-10-31_final.stac-item
2023-11-17 09:28:39	ga_s2am_ard_3-2-1_55GFN_2023-11-16_final.stac-item
2023-11-17 09:28:45	ga_s2am_ard_3-2-1_55GFN_2023-11-16_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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