Search ga_s2am_ard_3 across 2016

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
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JMM_2016-01-01_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JVG_2016-01-07_final.stac-item
2016-01-18 09:29:15	ga_s2am_ard_3-2-1_56JMM_2016-01-17_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JMM_2016-01-31_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51JVG_2016-02-06_final.stac-item
2016-02-17 09:22:40	ga_s2am_ard_3-2-1_56JMM_2016-02-16_final.stac-item
2016-03-18 09:22:41	ga_s2am_ard_3-2-1_56JMM_2016-03-17_final.stac-item
2016-03-27 09:55:10	ga_s2am_ard_3-2-1_55JDG_2016-03-27_final.stac-item
2016-03-27 09:55:10	ga_s2am_ard_3-2-1_55JCG_2016-03-27_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JER_2016-03-28_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_51JVG_2016-04-06_final.stac-item
2016-04-07 09:24:37	ga_s2am_ard_3-2-1_56JMM_2016-04-06_final.stac-item
2016-04-17 09:22:45	ga_s2am_ard_3-2-1_56JMM_2016-04-16_final.stac-item
2016-04-26 09:51:11	ga_s2am_ard_3-2-1_55JDG_2016-04-26_final.stac-item
2016-04-27 09:23:49	ga_s2am_ard_3-2-1_56JMM_2016-04-26_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52JER_2016-04-27_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52JDM_2016-04-27_final.stac-item
2016-05-06 09:52:47	ga_s2am_ard_3-2-1_55JDG_2016-05-06_final.stac-item
2016-05-16 11:32:16	ga_s2am_ard_3-2-1_51JVG_2016-05-16_final.stac-item
2016-05-20 09:35:06	ga_s2am_ard_3-2-1_56JMM_2016-05-20_final.stac-item
2016-05-26 09:52:48	ga_s2am_ard_3-2-1_55JDG_2016-05-26_final.stac-item
2016-05-27 09:22:50	ga_s2am_ard_3-2-1_56JMM_2016-05-26_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JVG_2016-06-05_final.stac-item
2016-06-06 09:22:49	ga_s2am_ard_3-2-1_56JMM_2016-06-05_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52JER_2016-06-06_final.stac-item
2016-06-09 09:32:22	ga_s2am_ard_3-2-1_56JMM_2016-06-09_final.stac-item
2016-06-09 09:35:19	ga_s2am_ard_3-2-1_56JKM_2016-06-09_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55JDG_2016-06-15_final.stac-item
2016-06-16 09:22:47	ga_s2am_ard_3-2-1_56JMM_2016-06-15_final.stac-item
2016-06-26 09:22:46	ga_s2am_ard_3-2-1_56JMM_2016-06-25_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52JER_2016-06-26_final.stac-item
2016-06-29 09:32:19	ga_s2am_ard_3-2-1_56JMM_2016-06-29_final.stac-item
2016-07-06 09:22:47	ga_s2am_ard_3-2-1_56JMM_2016-07-05_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51JVG_2016-07-15_final.stac-item
2016-07-16 09:22:48	ga_s2am_ard_3-2-1_56JMM_2016-07-15_final.stac-item
2016-07-16 10:57:59	ga_s2am_ard_3-2-1_52JER_2016-07-16_final.stac-item
2016-07-19 09:33:20	ga_s2am_ard_3-2-1_56JMM_2016-07-19_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55JDG_2016-07-25_final.stac-item
2016-07-26 09:23:14	ga_s2am_ard_3-2-1_56JMM_2016-07-25_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51JVG_2016-08-04_final.stac-item
2016-08-05 09:22:48	ga_s2am_ard_3-2-1_56JMM_2016-08-04_final.stac-item
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JER_2016-08-05_final.stac-item
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JDM_2016-08-05_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_56JMM_2016-08-08_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55JDG_2016-08-14_final.stac-item
2016-08-15 09:25:09	ga_s2am_ard_3-2-1_56JMM_2016-08-14_final.stac-item
2016-08-25 09:23:22	ga_s2am_ard_3-2-1_56JMM_2016-08-24_final.stac-item
2016-08-25 11:03:18	ga_s2am_ard_3-2-1_52JER_2016-08-25_final.stac-item
2016-08-25 11:03:18	ga_s2am_ard_3-2-1_52JBM_2016-08-25_final.stac-item
2016-08-25 11:03:18	ga_s2am_ard_3-2-1_52JDM_2016-08-25_final.stac-item
2016-08-28 09:34:11	ga_s2am_ard_3-2-1_56JMM_2016-08-28_final.stac-item
2016-09-03 09:52:32	ga_s2am_ard_3-2-1_55JDG_2016-09-03_final.stac-item
2016-09-04 09:22:44	ga_s2am_ard_3-2-1_56JMM_2016-09-03_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51JVG_2016-09-13_final.stac-item
2016-09-14 09:22:41	ga_s2am_ard_3-2-1_56JMM_2016-09-13_final.stac-item
2016-09-14 10:57:41	ga_s2am_ard_3-2-1_52JER_2016-09-14_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JDM_2016-09-14_final.stac-item
2016-09-17 09:34:05	ga_s2am_ard_3-2-1_56JMM_2016-09-17_final.stac-item
2016-09-23 09:52:34	ga_s2am_ard_3-2-1_55JDG_2016-09-23_final.stac-item
2016-09-24 09:22:40	ga_s2am_ard_3-2-1_56JMM_2016-09-23_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_51JVG_2016-10-03_final.stac-item
2016-10-04 09:22:40	ga_s2am_ard_3-2-1_56JMM_2016-10-03_final.stac-item
2016-10-04 10:57:51	ga_s2am_ard_3-2-1_52JER_2016-10-04_final.stac-item
2016-10-04 11:05:00	ga_s2am_ard_3-2-1_52JBM_2016-10-04_final.stac-item
2016-10-04 11:05:00	ga_s2am_ard_3-2-1_52JDM_2016-10-04_final.stac-item
2016-10-07 09:34:16	ga_s2am_ard_3-2-1_56JMM_2016-10-07_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JDG_2016-10-13_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_51JVG_2016-10-23_final.stac-item
2016-10-24 09:22:41	ga_s2am_ard_3-2-1_56JMM_2016-10-23_final.stac-item
2016-10-24 11:03:06	ga_s2am_ard_3-2-1_52JER_2016-10-24_final.stac-item
2016-10-24 11:03:06	ga_s2am_ard_3-2-1_52JDM_2016-10-24_final.stac-item
2016-10-27 09:34:38	ga_s2am_ard_3-2-1_56JMM_2016-10-27_final.stac-item
2016-11-02 09:53:27	ga_s2am_ard_3-2-1_55JDG_2016-11-02_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_51JVG_2016-11-02_final.stac-item
2016-11-03 09:22:42	ga_s2am_ard_3-2-1_56JMM_2016-11-02_final.stac-item
2016-11-03 10:59:53	ga_s2am_ard_3-2-1_52JER_2016-11-03_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_51JVG_2016-11-12_final.stac-item
2016-11-13 09:22:43	ga_s2am_ard_3-2-1_56JMM_2016-11-12_final.stac-item
2016-11-13 11:01:05	ga_s2am_ard_3-2-1_52JER_2016-11-13_final.stac-item
2016-11-16 09:32:16	ga_s2am_ard_3-2-1_56JMM_2016-11-16_final.stac-item
2016-11-22 09:55:06	ga_s2am_ard_3-2-1_55JDG_2016-11-22_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51JVG_2016-11-22_final.stac-item
2016-11-23 09:22:43	ga_s2am_ard_3-2-1_56JMM_2016-11-22_final.stac-item
2016-11-23 11:01:01	ga_s2am_ard_3-2-1_52JER_2016-11-23_final.stac-item
2016-11-23 11:01:01	ga_s2am_ard_3-2-1_52JBM_2016-11-23_final.stac-item
2016-11-23 11:01:01	ga_s2am_ard_3-2-1_52JDM_2016-11-23_final.stac-item
2016-11-26 09:32:16	ga_s2am_ard_3-2-1_56JMM_2016-11-26_final.stac-item
2016-12-02 09:51:03	ga_s2am_ard_3-2-1_55JDG_2016-12-02_final.stac-item
2016-12-03 09:22:53	ga_s2am_ard_3-2-1_56JMM_2016-12-02_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56JMM_2016-12-06_final.stac-item
2016-12-12 09:51:01	ga_s2am_ard_3-2-1_55JDG_2016-12-12_final
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51JVG_2016-12-12_final
2016-12-13 09:23:12	ga_s2am_ard_3-2-1_56JMM_2016-12-12_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JER_2016-12-13_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JDM_2016-12-13_final
2016-12-16 09:32:13	ga_s2am_ard_3-2-1_56JMM_2016-12-16_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51JVG_2016-12-22_final
2016-12-23 09:22:39	ga_s2am_ard_3-2-1_56JMM_2016-12-22_final
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52JER_2016-12-23_final
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52JDM_2016-12-23_final

Return to ga_s2am_ard_3 across 2016 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

2016

All months