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_56JMR_2016-01-01_final.stac-item
2016-01-11 09:34:10	ga_s2am_ard_3-2-1_56JMR_2016-01-11_final.stac-item
2016-01-11 09:34:25	ga_s2am_ard_3-2-1_56JKR_2016-01-11_final.stac-item
2016-01-11 09:34:25	ga_s2am_ard_3-2-1_56JMR_2016-01-11_final.stac-item
2016-01-21 09:34:22	ga_s2am_ard_3-2-1_56JMR_2016-01-21_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JMR_2016-01-31_final.stac-item
2016-02-01 10:39:39	ga_s2am_ard_3-2-1_53JML_2016-02-01_final.stac-item
2016-02-09 10:03:07	ga_s2am_ard_3-2-1_55JDL_2016-02-09_final.stac-item
2016-02-10 09:32:14	ga_s2am_ard_3-2-1_56JMR_2016-02-10_final.stac-item
2016-02-13 09:42:09	ga_s2am_ard_3-2-1_55JEL_2016-02-13_final.stac-item
2016-02-20 09:32:13	ga_s2am_ard_3-2-1_56JMR_2016-02-20_final.stac-item
2016-03-02 10:44:00	ga_s2am_ard_3-2-1_53JML_2016-03-02_final.stac-item
2016-03-02 10:44:00	ga_s2am_ard_3-2-1_53JKL_2016-03-02_final.stac-item
2016-03-14 09:42:09	ga_s2am_ard_3-2-1_55JEL_2016-03-14_final.stac-item
2016-03-21 09:32:15	ga_s2am_ard_3-2-1_56JMR_2016-03-21_final.stac-item
2016-03-27 09:49:02	ga_s2am_ard_3-2-1_55JEL_2016-03-27_final.stac-item
2016-04-01 10:43:52	ga_s2am_ard_3-2-1_53JML_2016-04-01_final.stac-item
2016-04-10 09:32:16	ga_s2am_ard_3-2-1_56JMR_2016-04-10_final.stac-item
2016-04-10 09:33:53	ga_s2am_ard_3-2-1_56JMR_2016-04-10_final.stac-item
2016-04-13 09:42:12	ga_s2am_ard_3-2-1_55JEL_2016-04-13_final.stac-item
2016-04-20 09:33:17	ga_s2am_ard_3-2-1_56JMR_2016-04-20_final.stac-item
2016-04-26 09:51:11	ga_s2am_ard_3-2-1_55JEL_2016-04-26_final.stac-item
2016-04-26 09:51:11	ga_s2am_ard_3-2-1_55JDL_2016-04-26_final.stac-item
2016-04-30 09:32:29	ga_s2am_ard_3-2-1_56JMR_2016-04-30_final.stac-item
2016-05-01 10:43:19	ga_s2am_ard_3-2-1_53JML_2016-05-01_final.stac-item
2016-05-06 09:52:47	ga_s2am_ard_3-2-1_55JEL_2016-05-06_final.stac-item
2016-05-10 09:32:23	ga_s2am_ard_3-2-1_56JMR_2016-05-10_final.stac-item
2016-05-11 10:38:49	ga_s2am_ard_3-2-1_53JML_2016-05-11_final.stac-item
2016-05-20 09:32:24	ga_s2am_ard_3-2-1_56JMR_2016-05-20_final.stac-item
2016-05-26 09:52:48	ga_s2am_ard_3-2-1_55JEL_2016-05-26_final.stac-item
2016-05-30 09:33:50	ga_s2am_ard_3-2-1_56JMR_2016-05-30_final.stac-item
2016-05-31 10:38:44	ga_s2am_ard_3-2-1_53JML_2016-05-31_final.stac-item
2016-06-02 09:42:18	ga_s2am_ard_3-2-1_55JEL_2016-06-02_final.stac-item
2016-06-08 10:01:45	ga_s2am_ard_3-2-1_55JDL_2016-06-08_final.stac-item
2016-06-09 09:32:22	ga_s2am_ard_3-2-1_56JMR_2016-06-09_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55JEL_2016-06-15_final.stac-item
2016-06-19 09:32:20	ga_s2am_ard_3-2-1_56JMR_2016-06-19_final.stac-item
2016-06-19 09:34:01	ga_s2am_ard_3-2-1_56JMR_2016-06-19_final.stac-item
2016-06-20 10:38:41	ga_s2am_ard_3-2-1_53JML_2016-06-20_final.stac-item
2016-06-29 09:32:19	ga_s2am_ard_3-2-1_56JMR_2016-06-29_final.stac-item
2016-07-09 09:33:19	ga_s2am_ard_3-2-1_56JMR_2016-07-09_final.stac-item
2016-07-10 10:38:42	ga_s2am_ard_3-2-1_53JML_2016-07-10_final.stac-item
2016-07-10 10:38:42	ga_s2am_ard_3-2-1_53JKL_2016-07-10_final.stac-item
2016-07-19 09:33:20	ga_s2am_ard_3-2-1_56JMR_2016-07-19_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55JEL_2016-07-25_final.stac-item
2016-07-29 09:33:23	ga_s2am_ard_3-2-1_56JMR_2016-07-29_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JML_2016-07-30_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_56JMR_2016-08-08_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55JEL_2016-08-14_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55JDL_2016-08-14_final.stac-item
2016-08-18 09:32:20	ga_s2am_ard_3-2-1_56JMR_2016-08-18_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53JML_2016-08-19_final.stac-item
2016-08-28 09:32:19	ga_s2am_ard_3-2-1_56JMR_2016-08-28_final.stac-item
2016-09-03 09:52:32	ga_s2am_ard_3-2-1_55JEL_2016-09-03_final.stac-item
2016-09-03 09:52:32	ga_s2am_ard_3-2-1_55JDL_2016-09-03_final.stac-item
2016-09-07 09:32:16	ga_s2am_ard_3-2-1_56JMR_2016-09-07_final.stac-item
2016-09-08 10:38:41	ga_s2am_ard_3-2-1_53JML_2016-09-08_final.stac-item
2016-09-16 10:01:37	ga_s2am_ard_3-2-1_55JDL_2016-09-16_final.stac-item
2016-09-17 09:32:13	ga_s2am_ard_3-2-1_56JMR_2016-09-17_final.stac-item
2016-09-23 09:52:34	ga_s2am_ard_3-2-1_55JEL_2016-09-23_final.stac-item
2016-09-23 09:52:34	ga_s2am_ard_3-2-1_55JDL_2016-09-23_final.stac-item
2016-09-27 09:32:13	ga_s2am_ard_3-2-1_56JMR_2016-09-27_final.stac-item
2016-09-28 10:38:39	ga_s2am_ard_3-2-1_53JML_2016-09-28_final.stac-item
2016-09-30 09:42:08	ga_s2am_ard_3-2-1_55JEL_2016-09-30_final.stac-item
2016-10-07 09:32:13	ga_s2am_ard_3-2-1_56JMR_2016-10-07_final.stac-item
2016-10-13 09:52:35	ga_s2am_ard_3-2-1_55JEL_2016-10-13_final.stac-item
2016-10-17 09:32:13	ga_s2am_ard_3-2-1_56JMR_2016-10-17_final.stac-item
2016-10-17 09:34:08	ga_s2am_ard_3-2-1_56JLR_2016-10-17_final.stac-item
2016-10-27 09:32:14	ga_s2am_ard_3-2-1_56JMR_2016-10-27_final.stac-item
2016-10-28 10:42:31	ga_s2am_ard_3-2-1_53JKL_2016-10-28_final.stac-item
2016-10-28 10:42:31	ga_s2am_ard_3-2-1_53JML_2016-10-28_final.stac-item
2016-11-02 09:53:27	ga_s2am_ard_3-2-1_55JEL_2016-11-02_final.stac-item
2016-11-02 09:53:27	ga_s2am_ard_3-2-1_55JDL_2016-11-02_final.stac-item
2016-11-06 09:32:20	ga_s2am_ard_3-2-1_56JMR_2016-11-06_final.stac-item
2016-11-07 10:41:30	ga_s2am_ard_3-2-1_53JML_2016-11-07_final.stac-item
2016-11-16 09:32:16	ga_s2am_ard_3-2-1_56JMR_2016-11-16_final.stac-item
2016-11-17 10:42:22	ga_s2am_ard_3-2-1_53JML_2016-11-17_final.stac-item
2016-11-19 09:42:43	ga_s2am_ard_3-2-1_55JEL_2016-11-19_final
2016-11-22 09:51:04	ga_s2am_ard_3-2-1_55JEL_2016-11-22_final.stac-item
2016-11-22 09:51:04	ga_s2am_ard_3-2-1_55JDL_2016-11-22_final.stac-item
2016-11-26 09:32:16	ga_s2am_ard_3-2-1_56JMR_2016-11-26_final.stac-item
2016-12-01 10:20:08	ga_s2am_ard_3-2-1_54JVR_2016-12-01_final.stac-item
2016-12-02 09:51:03	ga_s2am_ard_3-2-1_55JEL_2016-12-02_final.stac-item
2016-12-02 09:51:03	ga_s2am_ard_3-2-1_55JDL_2016-12-02_final.stac-item
2016-12-06 09:32:15	ga_s2am_ard_3-2-1_56JMR_2016-12-06_final.stac-item
2016-12-07 10:43:25	ga_s2am_ard_3-2-1_53JML_2016-12-07_final
2016-12-08 10:14:03	ga_s2am_ard_3-2-1_54JVR_2016-12-08_final
2016-12-09 09:43:25	ga_s2am_ard_3-2-1_55JEL_2016-12-09_final
2016-12-11 10:20:28	ga_s2am_ard_3-2-1_54JVR_2016-12-11_final
2016-12-12 09:51:01	ga_s2am_ard_3-2-1_55JEL_2016-12-12_final
2016-12-12 09:51:01	ga_s2am_ard_3-2-1_55JDL_2016-12-12_final
2016-12-16 09:32:13	ga_s2am_ard_3-2-1_56JMR_2016-12-16_final
2016-12-17 10:43:37	ga_s2am_ard_3-2-1_53JML_2016-12-17_final
2016-12-18 10:14:12	ga_s2am_ard_3-2-1_54JVR_2016-12-18_final
2016-12-19 09:43:23	ga_s2am_ard_3-2-1_55JEL_2016-12-19_final
2016-12-26 09:32:12	ga_s2am_ard_3-2-1_56JMR_2016-12-26_final
2016-12-27 10:43:36	ga_s2am_ard_3-2-1_53JML_2016-12-27_final
2016-12-28 10:09:23	ga_s2am_ard_3-2-1_54JVR_2016-12-28_final
2016-12-28 10:14:12	ga_s2am_ard_3-2-1_54JVR_2016-12-28_final
2016-12-29 09:43:23	ga_s2am_ard_3-2-1_55JEL_2016-12-29_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