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
2020-02-09 09:37:39	ga_s2am_ard_3-2-1_55HES_2020-02-09_final
2020-02-19 09:37:41	ga_s2am_ard_3-2-1_55HES_2020-02-19_final
2020-02-29 09:37:43	ga_s2am_ard_3-2-1_55HES_2020-02-29_final
2020-03-10 09:37:43	ga_s2am_ard_3-2-1_55HES_2020-03-10_final
2020-03-20 09:37:44	ga_s2am_ard_3-2-1_55HES_2020-03-20_final
2020-03-30 09:37:43	ga_s2am_ard_3-2-1_55HES_2020-03-30_final
2020-04-09 09:37:45	ga_s2am_ard_3-2-1_55HES_2020-04-09_final
2020-04-19 09:37:48	ga_s2am_ard_3-2-1_55HES_2020-04-19_final
2020-04-29 09:37:50	ga_s2am_ard_3-2-1_55HES_2020-04-29_final
2020-05-09 09:37:51	ga_s2am_ard_3-2-1_55HES_2020-05-09_final
2020-05-19 09:37:53	ga_s2am_ard_3-2-1_55HES_2020-05-19_final
2020-05-29 09:37:53	ga_s2am_ard_3-2-1_55HES_2020-05-29_final
2020-06-08 09:37:54	ga_s2am_ard_3-2-1_55HES_2020-06-08_final
2020-06-18 09:37:53	ga_s2am_ard_3-2-1_55HES_2020-06-18_final
2020-06-28 09:37:53	ga_s2am_ard_3-2-1_55HES_2020-06-28_final
2020-07-08 09:37:51	ga_s2am_ard_3-2-1_55HES_2020-07-08_final
2020-07-18 09:37:52	ga_s2am_ard_3-2-1_55HES_2020-07-18_final
2020-07-28 09:37:53	ga_s2am_ard_3-2-1_55HES_2020-07-28_final
2020-08-07 09:37:53	ga_s2am_ard_3-2-1_55HES_2020-08-07_final
2020-08-17 09:37:53	ga_s2am_ard_3-2-1_55HES_2020-08-17_final
2020-08-27 09:37:52	ga_s2am_ard_3-2-1_55HES_2020-08-27_final
2020-09-06 09:37:52	ga_s2am_ard_3-2-1_55HES_2020-09-06_final
2020-09-16 09:37:52	ga_s2am_ard_3-2-1_55HES_2020-09-16_final
2020-09-26 09:37:53	ga_s2am_ard_3-2-1_55HES_2020-09-26_final
2022-08-30 09:45:02	ga_s2am_ard_3-2-1_55JEJ_2022-08-30_final.stac-item
2022-09-02 09:54:57	ga_s2am_ard_3-2-1_55JEJ_2022-09-02_final.stac-item
2022-09-09 09:45:00	ga_s2am_ard_3-2-1_55JEJ_2022-09-09_final.stac-item
2022-09-12 09:54:56	ga_s2am_ard_3-2-1_55JEJ_2022-09-12_final.stac-item
2022-09-19 09:44:58	ga_s2am_ard_3-2-1_55JEJ_2022-09-19_final.stac-item
2022-09-22 09:54:52	ga_s2am_ard_3-2-1_55JEJ_2022-09-22_final.stac-item
2022-09-29 09:44:57	ga_s2am_ard_3-2-1_55JEJ_2022-09-29_final.stac-item
2022-10-02 09:54:52	ga_s2am_ard_3-2-1_55JEJ_2022-10-02_final.stac-item
2022-10-09 09:44:56	ga_s2am_ard_3-2-1_55JEJ_2022-10-09_final.stac-item
2022-10-12 09:54:51	ga_s2am_ard_3-2-1_55JEJ_2022-10-12_final.stac-item
2022-10-22 09:54:47	ga_s2am_ard_3-2-1_55JEJ_2022-10-22_final.stac-item
2022-11-01 09:54:49	ga_s2am_ard_3-2-1_55JEJ_2022-11-01_final.stac-item
2022-11-11 09:54:49	ga_s2am_ard_3-2-1_55JEJ_2022-11-11_final.stac-item
2022-11-18 09:44:51	ga_s2am_ard_3-2-1_55JEJ_2022-11-18_final.stac-item
2022-11-21 09:54:46	ga_s2am_ard_3-2-1_55JEJ_2022-11-21_final.stac-item
2022-11-28 09:44:49	ga_s2am_ard_3-2-1_55JEJ_2022-11-28_final.stac-item
2022-12-01 09:54:45	ga_s2am_ard_3-2-1_55JEJ_2022-12-01_final.stac-item
2022-12-08 09:44:50	ga_s2am_ard_3-2-1_55JEJ_2022-12-08_final.stac-item
2022-12-11 09:54:46	ga_s2am_ard_3-2-1_55JEJ_2022-12-11_final.stac-item
2022-12-21 09:54:35	ga_s2am_ard_3-2-1_55JEJ_2022-12-21_final.stac-item
2022-12-21 09:54:43	ga_s2am_ard_3-2-1_55JEJ_2022-12-21_final.stac-item
2022-12-31 09:54:44	ga_s2am_ard_3-2-1_55JEJ_2022-12-31_final.stac-item
2023-01-07 09:44:48	ga_s2am_ard_3-2-1_55JEJ_2023-01-07_final.stac-item
2023-01-10 09:54:44	ga_s2am_ard_3-2-1_55JEJ_2023-01-10_final.stac-item
2023-01-20 09:54:40	ga_s2am_ard_3-2-1_55JEJ_2023-01-20_final.stac-item
2023-01-27 09:44:47	ga_s2am_ard_3-2-1_55JEJ_2023-01-27_final.stac-item
2023-01-30 09:54:43	ga_s2am_ard_3-2-1_55JEJ_2023-01-30_final.stac-item
2023-02-06 09:44:48	ga_s2am_ard_3-2-1_55JEJ_2023-02-06_final.stac-item
2023-02-09 09:54:44	ga_s2am_ard_3-2-1_55JEJ_2023-02-09_final.stac-item
2023-02-19 09:54:42	ga_s2am_ard_3-2-1_55JEJ_2023-02-19_final.stac-item
2023-03-01 09:54:43	ga_s2am_ard_3-2-1_55JEJ_2023-03-01_final.stac-item
2023-03-11 09:54:41	ga_s2am_ard_3-2-1_55JEJ_2023-03-11_final.stac-item
2023-03-18 09:44:47	ga_s2am_ard_3-2-1_55JEJ_2023-03-18_final.stac-item
2023-03-21 09:54:44	ga_s2am_ard_3-2-1_55JEJ_2023-03-21_final.stac-item
2023-03-28 09:44:47	ga_s2am_ard_3-2-1_55JEJ_2023-03-28_final.stac-item
2023-03-31 09:54:43	ga_s2am_ard_3-2-1_55JEJ_2023-03-31_final.stac-item
2023-04-07 09:44:49	ga_s2am_ard_3-2-1_55JEJ_2023-04-07_final.stac-item
2023-04-10 09:54:45	ga_s2am_ard_3-2-1_55JEJ_2023-04-10_final.stac-item
2023-04-17 09:44:49	ga_s2am_ard_3-2-1_55JEJ_2023-04-17_final.stac-item
2023-04-20 09:54:44	ga_s2am_ard_3-2-1_55JEJ_2023-04-20_final.stac-item
2023-04-27 09:44:49	ga_s2am_ard_3-2-1_55JEJ_2023-04-27_final.stac-item
2023-12-13 09:44:45	ga_s2am_ard_3-2-1_55JEJ_2023-12-13_final.stac-item
2023-12-16 09:54:43	ga_s2am_ard_3-2-1_55JEJ_2023-12-16_final.stac-item
2023-12-23 09:44:46	ga_s2am_ard_3-2-1_55JEJ_2023-12-23_final.stac-item
2023-12-26 09:54:43	ga_s2am_ard_3-2-1_55JEJ_2023-12-26_final.stac-item
2024-01-02 09:44:46	ga_s2am_ard_3-2-1_55JEJ_2024-01-02_final.stac-item
2024-01-05 09:54:42	ga_s2am_ard_3-2-1_55JEJ_2024-01-05_final.stac-item
2024-01-12 09:44:44	ga_s2am_ard_3-2-1_55JEJ_2024-01-12_final.stac-item
2024-01-15 09:54:38	ga_s2am_ard_3-2-1_55JEJ_2024-01-15_final.stac-item
2024-01-22 09:44:42	ga_s2am_ard_3-2-1_55JEJ_2024-01-22_final.stac-item
2024-01-25 09:54:39	ga_s2am_ard_3-2-1_55JEJ_2024-01-25_final.stac-item
2024-02-01 09:44:45	ga_s2am_ard_3-2-1_55JEJ_2024-02-01_final.stac-item
2024-02-04 09:54:41	ga_s2am_ard_3-2-1_55JEJ_2024-02-04_final.stac-item
2024-02-11 09:44:46	ga_s2am_ard_3-2-1_55JEJ_2024-02-11_final.stac-item
2024-02-14 09:54:43	ga_s2am_ard_3-2-1_55JEJ_2024-02-14_final.stac-item
2024-02-21 09:44:47	ga_s2am_ard_3-2-1_55JEJ_2024-02-21_final.stac-item
2024-02-24 09:54:43	ga_s2am_ard_3-2-1_55JEJ_2024-02-24_final.stac-item
2024-03-02 09:44:49	ga_s2am_ard_3-2-1_55JEJ_2024-03-02_final.stac-item
2024-03-05 09:54:46	ga_s2am_ard_3-2-1_55JEJ_2024-03-05_final.stac-item
2024-03-12 09:44:49	ga_s2am_ard_3-2-1_55JEJ_2024-03-12_interim.stac-item
2024-03-15 09:54:45	ga_s2am_ard_3-2-1_55JEJ_2024-03-15_final.stac-item
2024-03-22 09:44:50	ga_s2am_ard_3-2-1_55JEJ_2024-03-22_final.stac-item
2024-03-25 09:54:46	ga_s2am_ard_3-2-1_55JEJ_2024-03-25_final.stac-item
2024-04-01 09:44:48	ga_s2am_ard_3-2-1_55JEJ_2024-04-01_final.stac-item
2024-04-04 09:54:43	ga_s2am_ard_3-2-1_55JEJ_2024-04-04_final.stac-item
2024-04-11 09:44:50	ga_s2am_ard_3-2-1_55JEJ_2024-04-11_final.stac-item
2024-04-14 09:54:47	ga_s2am_ard_3-2-1_55JEJ_2024-04-14_final.stac-item
2024-04-21 09:44:53	ga_s2am_ard_3-2-1_55JEJ_2024-04-21_final.stac-item
2024-04-24 09:54:48	ga_s2am_ard_3-2-1_55JEJ_2024-04-24_final.stac-item
2024-05-01 09:44:52	ga_s2am_ard_3-2-1_55JEJ_2024-05-01_final.stac-item
2024-05-04 09:54:50	ga_s2am_ard_3-2-1_55JEJ_2024-05-04_final.stac-item
2024-05-11 09:44:52	ga_s2am_ard_3-2-1_55JEJ_2024-05-11_final.stac-item
2024-05-14 09:54:48	ga_s2am_ard_3-2-1_55JEJ_2024-05-14_final.stac-item
2024-05-21 09:44:50	ga_s2am_ard_3-2-1_55JEJ_2024-05-21_final.stac-item
2024-05-24 09:54:44	ga_s2am_ard_3-2-1_55JEJ_2024-05-24_nrt.stac-item
2024-05-31 09:44:52	ga_s2am_ard_3-2-1_55JEJ_2024-05-31_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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