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
2015-09-11 12:14:44	ga_s2am_ard_3-2-1_49JGL_2015-09-11_final.stac-item
2015-10-01 12:14:44	ga_s2am_ard_3-2-1_49JGL_2015-10-01_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JGL_2015-10-08_final.stac-item
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49JGL_2015-10-21_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JGL_2015-10-28_final.stac-item
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JGL_2015-11-20_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_49JGL_2015-11-27_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGL_2015-11-30_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGL_2015-12-07_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGL_2015-12-17_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_49JGL_2015-12-27_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGL_2015-12-30_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGL_2016-01-06_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JGL_2016-01-09_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGL_2016-01-16_final.stac-item
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JGL_2016-01-19_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGL_2016-01-26_final.stac-item
2016-01-29 12:14:38	ga_s2am_ard_3-2-1_49JGL_2016-01-29_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGL_2016-02-05_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGL_2016-02-08_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGL_2016-02-15_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-02-18_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-03-06_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGL_2016-03-09_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JGL_2016-03-16_final.stac-item
2016-03-19 12:14:38	ga_s2am_ard_3-2-1_49JGL_2016-03-19_final.stac-item
2016-03-29 12:14:39	ga_s2am_ard_3-2-1_49JGL_2016-03-29_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-04-08_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGL_2016-04-15_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JGL_2016-04-18_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_49JGL_2016-04-25_final.stac-item
2016-04-28 12:14:45	ga_s2am_ard_3-2-1_49JGL_2016-04-28_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JGL_2016-05-05_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JGL_2016-05-08_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_49JGL_2016-05-15_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JGL_2016-05-18_final.stac-item
2016-05-25 12:04:47	ga_s2am_ard_3-2-1_49JGL_2016-05-25_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JGL_2016-05-28_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGL_2016-06-04_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGL_2016-06-07_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JGL_2016-06-14_final.stac-item
2016-06-17 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-06-17_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGL_2016-06-24_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-07-07_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGL_2016-07-14_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49JGL_2016-07-17_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_49JGL_2016-07-24_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JGL_2016-08-03_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_49JGL_2016-09-02_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGL_2016-09-05_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2016-09-12_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-09-15_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-09-22_final.stac-item
2016-09-25 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-09-25_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-02_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-10-05_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-10-12_final.stac-item
2016-10-15 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-10-15_final.stac-item
2016-10-15 12:14:55	ga_s2am_ard_3-2-1_49JGL_2016-10-15_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-22_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-10-25_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGL_2016-11-01_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49JGL_2016-11-04_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGL_2016-11-11_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49JGL_2016-11-14_final.stac-item
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGL_2018-04-15_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-04-25_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JGL_2018-05-15_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_49JGL_2018-05-25_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-05-28_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JGL_2018-06-04_final
2018-06-07 12:13:28	ga_s2am_ard_3-2-1_49JGL_2018-06-07_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGL_2018-06-14_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGL_2018-06-24_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-07-04_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-07_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-07-14_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-17_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49JGL_2018-07-27_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-08-03_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGL_2018-08-13_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-08-16_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGL_2018-08-23_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGL_2018-08-26_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-09-02_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGL_2018-09-05_final
2018-09-15 12:14:38	ga_s2am_ard_3-2-1_49JGL_2018-09-15_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JGL_2018-09-25_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-02_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-10-15_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-22_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-11-01_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGL_2018-11-04_final
2018-11-11 12:05:10	ga_s2am_ard_3-2-1_49JGL_2018-11-11_final
2018-11-14 12:15:05	ga_s2am_ard_3-2-1_49JGL_2018-11-14_final
2018-11-21 12:05:08	ga_s2am_ard_3-2-1_49JGL_2018-11-21_final
2018-11-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-11-24_final
2018-12-01 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-01_final
2018-12-04 12:15:02	ga_s2am_ard_3-2-1_49JGL_2018-12-04_final
2018-12-11 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-11_final

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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