Search ga_ls8c_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:

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):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

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:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

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 Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2013-11-19 10:20:33	ga_ls8c_ard_3-0-0_100076_2013-11-19_final
2013-11-19 10:20:57	ga_ls8c_ard_3-0-0_100077_2013-11-19_final
2013-11-19 10:21:21	ga_ls8c_ard_3-0-0_100078_2013-11-19_final
2013-11-19 10:21:45	ga_ls8c_ard_3-0-0_100079_2013-11-19_final
2013-11-21 10:10:57	ga_ls8c_ard_3-0-0_098083_2013-11-21_final
2013-11-21 10:11:21	ga_ls8c_ard_3-0-0_098084_2013-11-21_final
2013-11-21 10:11:45	ga_ls8c_ard_3-0-0_098085_2013-11-21_final
2013-11-26 10:25:53	ga_ls8c_ard_3-0-0_101074_2013-11-26_final
2014-05-23 10:13:01	ga_ls8c_ard_3-0-0_099078_2014-05-23_final
2014-05-23 10:13:25	ga_ls8c_ard_3-0-0_099079_2014-05-23_final
2014-05-23 10:13:49	ga_ls8c_ard_3-0-0_099080_2014-05-23_final
2014-05-23 10:14:12	ga_ls8c_ard_3-0-0_099081_2014-05-23_final
2014-05-23 10:14:36	ga_ls8c_ard_3-0-0_099082_2014-05-23_final
2014-05-23 10:15:00	ga_ls8c_ard_3-0-0_099083_2014-05-23_final
2014-06-10 10:03:38	ga_ls8c_ard_3-0-0_097085_2014-06-10_final
2014-06-13 10:27:22	ga_ls8c_ard_3-0-0_102067_2014-06-13_final
2014-06-13 10:27:46	ga_ls8c_ard_3-0-0_102068_2014-06-13_final
2014-06-13 10:28:10	ga_ls8c_ard_3-0-0_102069_2014-06-13_final
2016-05-21 10:08:32	ga_ls8c_ard_3-0-0_098082_2016-05-21_final
2016-05-21 10:08:56	ga_ls8c_ard_3-0-0_098083_2016-05-21_final
2016-05-21 10:09:20	ga_ls8c_ard_3-0-0_098084_2016-05-21_final
2016-05-21 10:09:44	ga_ls8c_ard_3-0-0_098085_2016-05-21_final
2016-05-21 10:10:08	ga_ls8c_ard_3-0-0_098086_2016-05-21_final
2016-06-11 10:21:59	ga_ls8c_ard_3-0-0_101069_2016-06-11_final
2016-06-11 10:22:23	ga_ls8c_ard_3-0-0_101070_2016-06-11_final
2016-06-11 10:22:47	ga_ls8c_ard_3-0-0_101071_2016-06-11_final
2016-06-11 10:23:11	ga_ls8c_ard_3-0-0_101072_2016-06-11_final
2016-06-11 10:23:34	ga_ls8c_ard_3-0-0_101073_2016-06-11_final
2016-06-11 10:23:58	ga_ls8c_ard_3-0-0_101074_2016-06-11_final
2016-08-02 10:03:58	ga_ls8c_ard_3-0-0_097085_2016-08-02_final
2016-08-02 10:04:22	ga_ls8c_ard_3-0-0_097086_2016-08-02_final
2016-08-05 10:27:42	ga_ls8c_ard_3-0-0_102067_2016-08-05_final
2016-08-05 10:28:06	ga_ls8c_ard_3-0-0_102068_2016-08-05_final
2016-08-05 10:28:30	ga_ls8c_ard_3-0-0_102069_2016-08-05_final
2016-08-05 10:28:54	ga_ls8c_ard_3-0-0_102070_2016-08-05_final
2016-08-30 10:22:28	ga_ls8c_ard_3-0-0_101069_2016-08-30_final
2016-08-30 10:22:52	ga_ls8c_ard_3-0-0_101070_2016-08-30_final
2016-08-30 10:23:16	ga_ls8c_ard_3-0-0_101071_2016-08-30_final
2016-08-30 10:23:39	ga_ls8c_ard_3-0-0_101072_2016-08-30_final
2016-08-30 10:24:03	ga_ls8c_ard_3-0-0_101073_2016-08-30_final
2016-08-30 10:24:27	ga_ls8c_ard_3-0-0_101074_2016-08-30_final
2016-10-17 10:22:37	ga_ls8c_ard_3-0-0_101069_2016-10-17_final
2016-10-17 10:23:01	ga_ls8c_ard_3-0-0_101070_2016-10-17_final
2016-12-04 10:22:37	ga_ls8c_ard_3-0-0_101069_2016-12-04_final
2016-12-04 10:23:01	ga_ls8c_ard_3-0-0_101070_2016-12-04_final
2016-12-04 10:23:24	ga_ls8c_ard_3-0-0_101071_2016-12-04_final
2016-12-04 10:23:48	ga_ls8c_ard_3-0-0_101072_2016-12-04_final
2016-12-04 10:24:12	ga_ls8c_ard_3-0-0_101073_2016-12-04_final
2016-12-04 10:24:36	ga_ls8c_ard_3-0-0_101074_2016-12-04_final
2016-12-06 10:13:50	ga_ls8c_ard_3-0-0_099078_2016-12-06_final
2016-12-06 10:14:14	ga_ls8c_ard_3-0-0_099079_2016-12-06_final
2016-12-06 10:14:38	ga_ls8c_ard_3-0-0_099080_2016-12-06_final
2016-12-06 10:15:02	ga_ls8c_ard_3-0-0_099081_2016-12-06_final
2016-12-06 10:15:26	ga_ls8c_ard_3-0-0_099082_2016-12-06_final
2016-12-06 10:15:50	ga_ls8c_ard_3-0-0_099083_2016-12-06_final
2017-01-05 10:22:29	ga_ls8c_ard_3-0-0_101069_2017-01-05_final
2017-01-05 10:22:53	ga_ls8c_ard_3-0-0_101070_2017-01-05_final
2017-01-05 10:23:17	ga_ls8c_ard_3-0-0_101071_2017-01-05_final
2017-01-05 10:23:41	ga_ls8c_ard_3-0-0_101072_2017-01-05_final
2017-01-05 10:24:05	ga_ls8c_ard_3-0-0_101073_2017-01-05_final
2017-01-05 10:24:29	ga_ls8c_ard_3-0-0_101074_2017-01-05_final
2017-01-07 10:13:43	ga_ls8c_ard_3-0-0_099078_2017-01-07_final
2017-01-07 10:14:07	ga_ls8c_ard_3-0-0_099079_2017-01-07_final
2017-01-07 10:14:31	ga_ls8c_ard_3-0-0_099080_2017-01-07_final
2017-01-07 10:14:55	ga_ls8c_ard_3-0-0_099081_2017-01-07_final
2017-01-07 10:15:18	ga_ls8c_ard_3-0-0_099082_2017-01-07_final
2017-01-07 10:15:42	ga_ls8c_ard_3-0-0_099083_2017-01-07_final
2017-01-09 10:04:08	ga_ls8c_ard_3-0-0_097085_2017-01-09_final
2017-01-09 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-01-09_final
2017-01-23 10:13:38	ga_ls8c_ard_3-0-0_099078_2017-01-23_final
2017-01-23 10:14:02	ga_ls8c_ard_3-0-0_099079_2017-01-23_final
2017-01-23 10:14:26	ga_ls8c_ard_3-0-0_099080_2017-01-23_final
2017-01-23 10:14:50	ga_ls8c_ard_3-0-0_099081_2017-01-23_final
2017-01-23 10:15:14	ga_ls8c_ard_3-0-0_099082_2017-01-23_final
2017-01-23 10:15:38	ga_ls8c_ard_3-0-0_099083_2017-01-23_final
2017-01-25 10:04:27	ga_ls8c_ard_3-0-0_097086_2017-01-25_final
2017-02-06 10:22:17	ga_ls8c_ard_3-0-0_101069_2017-02-06_final
2017-02-06 10:22:41	ga_ls8c_ard_3-0-0_101070_2017-02-06_final
2017-02-06 10:23:05	ga_ls8c_ard_3-0-0_101071_2017-02-06_final
2017-02-06 10:23:29	ga_ls8c_ard_3-0-0_101072_2017-02-06_final
2017-02-06 10:23:53	ga_ls8c_ard_3-0-0_101073_2017-02-06_final
2017-02-06 10:24:17	ga_ls8c_ard_3-0-0_101074_2017-02-06_final
2017-02-08 10:13:30	ga_ls8c_ard_3-0-0_099078_2017-02-08_final
2017-02-08 10:13:54	ga_ls8c_ard_3-0-0_099079_2017-02-08_final
2017-02-08 10:14:18	ga_ls8c_ard_3-0-0_099080_2017-02-08_final
2017-02-08 10:14:41	ga_ls8c_ard_3-0-0_099081_2017-02-08_final
2017-02-08 10:15:05	ga_ls8c_ard_3-0-0_099082_2017-02-08_final
2017-02-08 10:15:29	ga_ls8c_ard_3-0-0_099083_2017-02-08_final
2017-02-22 10:22:11	ga_ls8c_ard_3-0-0_101069_2017-02-22_final
2017-02-22 10:22:35	ga_ls8c_ard_3-0-0_101070_2017-02-22_final
2017-02-22 10:22:59	ga_ls8c_ard_3-0-0_101071_2017-02-22_final
2017-02-22 10:23:23	ga_ls8c_ard_3-1-0_101072_2017-02-22_final
2017-02-22 10:23:47	ga_ls8c_ard_3-0-0_101073_2017-02-22_final
2017-02-22 10:24:11	ga_ls8c_ard_3-0-0_101074_2017-02-22_final
2017-03-12 10:13:16	ga_ls8c_ard_3-0-0_099078_2017-03-12_final
2017-03-12 10:13:40	ga_ls8c_ard_3-0-0_099079_2017-03-12_final
2017-03-12 10:14:04	ga_ls8c_ard_3-0-0_099080_2017-03-12_final
2017-03-12 10:14:28	ga_ls8c_ard_3-0-0_099081_2017-03-12_final
2017-03-12 10:14:52	ga_ls8c_ard_3-0-0_099082_2017-03-12_final
2017-03-12 10:15:16	ga_ls8c_ard_3-0-0_099083_2017-03-12_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years