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
2016-01-04 09:48:56	ga_s2am_ard_3-2-1_55GCM_2016-01-04_final.stac-item
2016-01-14 09:49:02	ga_s2am_ard_3-2-1_55GCM_2016-01-14_final.stac-item
2016-01-24 09:48:52	ga_s2am_ard_3-2-1_55GCM_2016-01-24_final.stac-item
2016-04-13 09:42:12	ga_s2am_ard_3-2-1_55GCM_2016-04-13_final.stac-item
2016-04-20 09:38:37	ga_s2am_ard_3-2-1_55GCM_2016-04-20_final.stac-item
2016-05-10 09:38:41	ga_s2am_ard_3-2-1_55GCM_2016-05-10_final.stac-item
2016-05-13 09:45:58	ga_s2am_ard_3-2-1_55GCM_2016-05-13_final.stac-item
2016-05-23 09:48:45	ga_s2am_ard_3-2-1_55GCM_2016-05-23_final.stac-item
2016-06-02 09:45:58	ga_s2am_ard_3-2-1_55GCM_2016-06-02_final.stac-item
2016-06-12 09:48:42	ga_s2am_ard_3-2-1_55GCM_2016-06-12_final.stac-item
2016-06-19 09:38:37	ga_s2am_ard_3-2-1_55GCM_2016-06-19_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55GCM_2016-06-22_final.stac-item
2016-07-02 09:48:41	ga_s2am_ard_3-2-1_55GCM_2016-07-02_final.stac-item
2016-07-12 09:47:59	ga_s2am_ard_3-2-1_55GCM_2016-07-12_final.stac-item
2016-08-01 09:48:00	ga_s2am_ard_3-2-1_55GCM_2016-08-01_final.stac-item
2016-08-08 09:38:40	ga_s2am_ard_3-2-1_55GCM_2016-08-08_final.stac-item
2016-08-21 09:44:28	ga_s2am_ard_3-2-1_55GCM_2016-08-21_final.stac-item
2016-08-24 09:56:18	ga_s2am_ard_3-2-1_55HCC_2016-08-24_final.stac-item
2016-09-30 09:45:59	ga_s2am_ard_3-2-1_55GCM_2016-09-30_final.stac-item
2016-10-10 09:48:35	ga_s2am_ard_3-2-1_55GCM_2016-10-10_final.stac-item
2016-10-30 09:48:22	ga_s2am_ard_3-2-1_55GCM_2016-10-30_final.stac-item
2016-11-09 09:46:52	ga_s2am_ard_3-2-1_55GCM_2016-11-09_final.stac-item
2016-11-26 09:36:32	ga_s2am_ard_3-2-1_55GCM_2016-11-26_final.stac-item
2016-12-06 09:37:32	ga_s2am_ard_3-2-1_55GCM_2016-12-06_final.stac-item
2017-02-07 09:46:41	ga_s2am_ard_3-2-1_55GCM_2017-02-07_final.stac-item
2017-02-17 09:48:15	ga_s2am_ard_3-2-1_55GCM_2017-02-17_final.stac-item
2017-02-27 09:48:33	ga_s2am_ard_3-2-1_55GCM_2017-02-27_final.stac-item
2017-03-19 09:48:31	ga_s2am_ard_3-2-1_55GCM_2017-03-19_final.stac-item
2017-04-08 09:48:37	ga_s2am_ard_3-2-1_55GCM_2017-04-08_final.stac-item
2020-06-11 09:49:08	ga_s2am_ard_3-2-1_55GCM_2020-06-11_final.stac-item
2020-07-21 09:49:05	ga_s2am_ard_3-2-1_55GCM_2020-07-21_final.stac-item
2020-08-07 09:39:10	ga_s2am_ard_3-2-1_55GCM_2020-08-07_final.stac-item
2020-10-19 09:49:07	ga_s2am_ard_3-2-1_55GCM_2020-10-19_final.stac-item
2020-10-26 09:39:09	ga_s2am_ard_3-2-1_55GCM_2020-10-26_final.stac-item
2020-11-25 09:39:05	ga_s2am_ard_3-2-1_55GCM_2020-11-25_final.stac-item
2020-11-28 09:49:02	ga_s2am_ard_3-2-1_55GCM_2020-11-28_final.stac-item
2020-12-28 09:49:00	ga_s2am_ard_3-2-1_55GCM_2020-12-28_final.stac-item
2022-02-21 09:49:02	ga_s2am_ard_3-2-1_55GCM_2022-02-21_final.stac-item
2022-07-08 09:39:16	ga_s2am_ard_3-2-1_55GCM_2022-07-08_final.stac-item
2022-07-28 09:39:13	ga_s2am_ard_3-2-1_55GCM_2022-07-28_final.stac-item
2023-01-27 09:48:59	ga_s2am_ard_3-2-1_55GCM_2023-01-27_final.stac-item
2023-02-06 09:48:59	ga_s2am_ard_3-2-1_55GCM_2023-02-06_final.stac-item
2023-02-16 09:48:57	ga_s2am_ard_3-2-1_55GCM_2023-02-16_final.stac-item
2023-02-23 09:39:01	ga_s2am_ard_3-2-1_55GCM_2023-02-23_final.stac-item
2023-02-26 09:48:59	ga_s2am_ard_3-2-1_55GCM_2023-02-26_final.stac-item
2023-09-04 09:49:04	ga_s2am_ard_3-2-1_55GCM_2023-09-04_final.stac-item
2023-09-21 09:39:05	ga_s2am_ard_3-2-1_55GCM_2023-09-21_final.stac-item
2023-09-24 09:48:56	ga_s2am_ard_3-2-1_55GCM_2023-09-24_final.stac-item
2023-09-24 09:49:01	ga_s2am_ard_3-2-1_55GCM_2023-09-24_final.stac-item
2023-10-01 09:39:05	ga_s2am_ard_3-2-1_55GCM_2023-10-01_final.stac-item
2023-10-04 09:49:00	ga_s2am_ard_3-2-1_55GCM_2023-10-04_final.stac-item
2023-10-11 09:39:02	ga_s2am_ard_3-2-1_55GCM_2023-10-11_final.stac-item
2023-10-14 09:48:52	ga_s2am_ard_3-2-1_55GCM_2023-10-14_final.stac-item
2023-10-14 09:48:57	ga_s2am_ard_3-2-1_55GCM_2023-10-14_final.stac-item
2023-10-21 09:39:03	ga_s2am_ard_3-2-1_55GCM_2023-10-21_final.stac-item
2023-10-24 09:48:54	ga_s2am_ard_3-2-1_55GCM_2023-10-24_final.stac-item
2023-10-24 09:48:59	ga_s2am_ard_3-2-1_55GCM_2023-10-24_final.stac-item
2023-10-31 09:39:03	ga_s2am_ard_3-2-1_55GCM_2023-10-31_final.stac-item
2023-11-03 09:48:58	ga_s2am_ard_3-2-1_55GCM_2023-11-03_final.stac-item
2023-11-10 09:39:03	ga_s2am_ard_3-2-1_55GCM_2023-11-10_final.stac-item
2023-11-13 09:48:58	ga_s2am_ard_3-2-1_55GCM_2023-11-13_final.stac-item
2023-11-20 09:39:00	ga_s2am_ard_3-2-1_55GCM_2023-11-20_final.stac-item
2023-11-23 09:48:55	ga_s2am_ard_3-2-1_55GCM_2023-11-23_final.stac-item
2023-12-03 09:48:51	ga_s2am_ard_3-2-1_55GCM_2023-12-03_final.stac-item
2023-12-10 09:38:58	ga_s2am_ard_3-2-1_55GCM_2023-12-10_final.stac-item
2023-12-13 09:48:54	ga_s2am_ard_3-2-1_55GCM_2023-12-13_final.stac-item
2023-12-20 09:38:59	ga_s2am_ard_3-2-1_55GCM_2023-12-20_final.stac-item
2023-12-23 09:48:55	ga_s2am_ard_3-2-1_55GCM_2023-12-23_final.stac-item
2023-12-30 09:39:00	ga_s2am_ard_3-2-1_55GCM_2023-12-30_final.stac-item
2024-01-02 09:48:56	ga_s2am_ard_3-2-1_55GCM_2024-01-02_final.stac-item
2024-01-09 09:38:59	ga_s2am_ard_3-2-1_55GCM_2024-01-09_final.stac-item
2024-01-12 09:48:53	ga_s2am_ard_3-2-1_55GCM_2024-01-12_final.stac-item
2024-01-19 09:38:54	ga_s2am_ard_3-2-1_55GCM_2024-01-19_final.stac-item
2024-01-22 09:48:51	ga_s2am_ard_3-2-1_55GCM_2024-01-22_final.stac-item
2024-01-29 09:38:58	ga_s2am_ard_3-2-1_55GCM_2024-01-29_final.stac-item
2024-02-01 09:48:54	ga_s2am_ard_3-2-1_55GCM_2024-02-01_final.stac-item
2024-02-08 09:38:59	ga_s2am_ard_3-2-1_55GCM_2024-02-08_final.stac-item
2024-02-11 09:48:56	ga_s2am_ard_3-2-1_55GCM_2024-02-11_final.stac-item
2024-02-18 09:39:01	ga_s2am_ard_3-2-1_55GCM_2024-02-18_final.stac-item
2024-02-21 09:48:57	ga_s2am_ard_3-2-1_55GCM_2024-02-21_final.stac-item
2024-02-28 09:39:03	ga_s2am_ard_3-2-1_55GCM_2024-02-28_final.stac-item
2024-03-02 09:48:59	ga_s2am_ard_3-2-1_55GCM_2024-03-02_final.stac-item
2024-03-09 09:39:04	ga_s2am_ard_3-2-1_55GCM_2024-03-09_final.stac-item
2024-03-12 09:48:59	ga_s2am_ard_3-2-1_55GCM_2024-03-12_final.stac-item
2024-03-19 09:39:04	ga_s2am_ard_3-2-1_55GCM_2024-03-19_final.stac-item
2024-03-22 09:49:00	ga_s2am_ard_3-2-1_55GCM_2024-03-22_final.stac-item
2024-03-29 09:39:05	ga_s2am_ard_3-2-1_55GCM_2024-03-29_final.stac-item
2024-04-01 09:48:58	ga_s2am_ard_3-2-1_55GCM_2024-04-01_final.stac-item
2024-04-08 09:39:04	ga_s2am_ard_3-2-1_55GCM_2024-04-08_final.stac-item
2024-04-11 09:49:00	ga_s2am_ard_3-2-1_55GCM_2024-04-11_final.stac-item
2024-04-18 09:39:06	ga_s2am_ard_3-2-1_55GCM_2024-04-18_final.stac-item
2024-04-21 09:49:02	ga_s2am_ard_3-2-1_55GCM_2024-04-21_final.stac-item
2024-04-28 09:39:06	ga_s2am_ard_3-2-1_55GCM_2024-04-28_final.stac-item
2024-05-01 09:49:02	ga_s2am_ard_3-2-1_55GCM_2024-05-01_final.stac-item
2024-05-08 09:39:05	ga_s2am_ard_3-2-1_55GCM_2024-05-08_final.stac-item
2024-05-11 09:49:02	ga_s2am_ard_3-2-1_55GCM_2024-05-11_interim.stac-item
2024-05-18 09:39:05	ga_s2am_ard_3-2-1_55GCM_2024-05-18_final.stac-item
2024-05-21 09:48:59	ga_s2am_ard_3-2-1_55GCM_2024-05-21_final.stac-item
2024-05-28 09:39:04	ga_s2am_ard_3-2-1_55GCM_2024-05-28_nrt.stac-item
2024-05-31 09:49:02	ga_s2am_ard_3-2-1_55GCM_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

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