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
2013-04-10 11:08:40	ga_ls8c_ard_3-0-0_108077_2013-04-10_final
2013-04-10 11:09:52	ga_ls8c_ard_3-0-0_108080_2013-04-10_final
2013-06-09 11:29:42	ga_ls8c_ard_3-0-0_111078_2013-06-09_final
2013-08-03 11:35:04	ga_ls8c_ard_3-0-0_112076_2013-08-03_final
2013-08-07 11:11:33	ga_ls8c_ard_3-0-0_108079_2013-08-07_final
2013-08-12 11:29:41	ga_ls8c_ard_3-0-0_111078_2013-08-12_final
2013-08-23 11:11:35	ga_ls8c_ard_3-0-0_108079_2013-08-23_final
2013-09-13 11:29:40	ga_ls8c_ard_3-0-0_111078_2013-09-13_final
2013-10-08 11:24:59	ga_ls8c_ard_3-0-0_110082_2013-10-08_final
2013-10-15 11:29:09	ga_ls8c_ard_3-0-0_111077_2013-10-15_final
2013-10-15 11:29:33	ga_ls8c_ard_3-0-0_111078_2013-10-15_final
2013-12-04 11:19:20	ga_ls8c_ard_3-0-0_109084_2013-12-04_final
2014-02-20 11:28:53	ga_ls8c_ard_3-0-0_111079_2014-02-20_final
2014-03-24 11:28:25	ga_ls8c_ard_3-0-0_111079_2014-03-24_final
2014-05-06 11:08:46	ga_ls8c_ard_3-0-0_108078_2014-05-06_final
2014-05-11 11:26:53	ga_ls8c_ard_3-0-0_111077_2014-05-11_final
2014-05-20 11:21:01	ga_ls8c_ard_3-0-0_110078_2014-05-20_final
2014-06-07 11:08:48	ga_ls8c_ard_3-0-0_108078_2014-06-07_final
2014-06-07 11:09:36	ga_ls8c_ard_3-0-0_108080_2014-06-07_final
2014-06-12 11:26:59	ga_ls8c_ard_3-0-0_111077_2014-06-12_final
2014-06-19 11:33:35	ga_ls8c_ard_3-0-0_112078_2014-06-19_final
2014-06-21 11:21:37	ga_ls8c_ard_3-0-0_110079_2014-06-21_final
2014-06-28 11:27:48	ga_ls8c_ard_3-0-0_111079_2014-06-28_final
2014-07-05 11:33:40	ga_ls8c_ard_3-0-0_112078_2014-07-05_final
2014-07-07 11:21:20	ga_ls8c_ard_3-0-0_110078_2014-07-07_final
2014-07-09 11:08:59	ga_ls8c_ard_3-0-0_108078_2014-07-09_final
2014-07-23 11:20:59	ga_ls8c_ard_3-0-0_110077_2014-07-23_final
2014-07-30 11:28:25	ga_ls8c_ard_3-0-0_111080_2014-07-30_final
2014-08-03 11:03:21	ga_ls8c_ard_3-0-0_107079_2014-08-03_final
2014-08-08 11:17:56	ga_ls8c_ard_3-0-0_110069_2014-08-08_final
2014-08-10 11:08:47	ga_ls8c_ard_3-0-0_108077_2014-08-10_final
2014-08-22 11:33:32	ga_ls8c_ard_3-0-0_112077_2014-08-22_final
2014-08-24 11:21:11	ga_ls8c_ard_3-0-0_110077_2014-08-24_final
2014-08-24 11:22:47	ga_ls8c_ard_3-0-0_110081_2014-08-24_final
2014-08-26 11:09:13	ga_ls8c_ard_3-0-0_108078_2014-08-26_final
2014-08-31 11:23:47	ga_ls8c_ard_3-0-0_111068_2014-08-31_final
2014-08-31 11:27:22	ga_ls8c_ard_3-0-0_111077_2014-08-31_final
2014-08-31 11:27:46	ga_ls8c_ard_3-0-0_111078_2014-08-31_final
2014-08-31 11:28:10	ga_ls8c_ard_3-0-0_111079_2014-08-31_final
2014-09-11 11:09:17	ga_ls8c_ard_3-0-0_108078_2014-09-11_final
2014-09-18 11:15:51	ga_ls8c_ard_3-0-0_109079_2014-09-18_final
2014-09-27 11:08:51	ga_ls8c_ard_3-0-0_108077_2014-09-27_final
2014-10-02 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-10-02_final
2014-10-13 11:05:46	ga_ls8c_ard_3-0-0_108069_2014-10-13_final
2014-11-03 11:29:29	ga_ls8c_ard_3-0-0_111082_2014-11-03_final
2015-01-01 11:08:46	ga_ls8c_ard_3-0-0_108077_2015-01-01_final
2015-01-17 11:08:45	ga_ls8c_ard_3-0-0_108077_2015-01-17_final
2015-02-02 11:08:41	ga_ls8c_ard_3-0-0_108077_2015-02-02_final
2015-02-18 11:08:33	ga_ls8c_ard_3-0-0_108077_2015-02-18_final
2015-05-09 11:08:13	ga_ls8c_ard_3-0-0_108078_2015-05-09_final
2015-05-09 11:09:01	ga_ls8c_ard_3-0-0_108080_2015-05-09_final
2015-05-30 11:27:10	ga_ls8c_ard_3-0-0_111079_2015-05-30_final
2015-06-15 11:27:22	ga_ls8c_ard_3-0-0_111079_2015-06-15_final
2015-07-12 11:08:40	ga_ls8c_ard_3-0-0_108078_2015-07-12_final
2015-08-13 11:08:50	ga_ls8c_ard_3-0-0_108078_2015-08-13_final
2015-08-29 11:08:32	ga_ls8c_ard_3-0-0_108077_2015-08-29_final
2015-09-03 11:27:06	ga_ls8c_ard_3-0-0_111077_2015-09-03_final
2015-09-03 11:27:54	ga_ls8c_ard_3-0-0_111079_2015-09-03_final
2015-12-03 11:08:53	ga_ls8c_ard_3-0-0_108077_2015-12-03_final
2016-02-05 11:08:46	ga_ls8c_ard_3-0-0_108077_2016-02-05_final
2016-02-14 11:04:30	ga_ls8c_ard_3-0-0_107082_2016-02-14_final
2016-03-01 11:04:27	ga_ls8c_ard_3-1-0_107082_2016-03-01_final
2016-03-13 11:27:56	ga_ls8c_ard_3-0-0_111079_2016-03-13_final
2016-04-14 11:27:40	ga_ls8c_ard_3-0-0_111079_2016-04-14_final
2016-04-21 11:33:00	ga_ls8c_ard_3-0-0_112077_2016-04-21_final
2016-05-16 11:27:38	ga_ls8c_ard_3-0-0_111079_2016-05-16_final
2016-06-01 11:27:45	ga_ls8c_ard_3-0-0_111079_2016-06-01_final
2016-06-03 11:15:23	ga_ls8c_ard_3-0-0_109079_2016-06-03_final
2016-06-12 11:08:50	ga_ls8c_ard_3-0-0_108078_2016-06-12_final
2016-06-17 11:27:23	ga_ls8c_ard_3-0-0_111078_2016-06-17_final
2016-06-17 11:27:47	ga_ls8c_ard_3-0-0_111079_2016-06-17_final
2016-06-19 11:15:27	ga_ls8c_ard_3-0-0_109079_2016-06-19_final
2016-07-26 11:33:28	ga_ls8c_ard_3-0-0_112077_2016-07-26_final
2016-07-26 11:33:52	ga_ls8c_ard_3-0-0_112078_2016-07-26_final
2016-09-21 11:28:19	ga_ls8c_ard_3-0-0_111079_2016-09-21_final
2016-11-08 11:28:25	ga_ls8c_ard_3-0-0_111079_2016-11-08_final
2017-05-23 11:02:29	ga_ls8c_ard_3-0-0_107078_2017-05-23_final
2017-06-20 11:27:49	ga_ls8c_ard_3-0-0_111079_2017-06-20_final
2017-07-06 11:28:16	ga_ls8c_ard_3-0-0_111080_2017-07-06_final
2017-07-22 11:27:58	ga_ls8c_ard_3-0-0_111079_2017-07-22_final
2017-08-23 11:27:22	ga_ls8c_ard_3-0-0_111077_2017-08-23_final
2017-08-23 11:27:46	ga_ls8c_ard_3-0-0_111078_2017-08-23_final
2017-08-30 11:33:34	ga_ls8c_ard_3-0-0_112077_2017-08-30_final
2017-12-06 11:21:39	ga_ls8c_ard_3-0-0_110078_2017-12-06_final
2018-05-06 11:26:48	ga_ls8c_ard_3-0-0_111078_2018-05-06_final
2018-05-15 11:20:31	ga_ls8c_ard_3-0-0_110078_2018-05-15_final
2018-06-23 11:26:40	ga_ls8c_ard_3-0-0_111078_2018-06-23_final
2018-07-25 11:26:55	ga_ls8c_ard_3-0-0_111078_2018-07-25_final
2018-08-10 11:26:40	ga_ls8c_ard_3-0-0_111077_2018-08-10_final
2018-09-02 11:33:01	ga_ls8c_ard_3-0-0_112077_2018-09-02_final
2019-01-17 11:23:31	ga_ls8c_ard_3-0-0_111068_2019-01-17_final
2019-02-13 11:08:29	ga_ls8c_ard_3-0-0_108077_2019-02-13_final
2019-03-01 11:08:25	ga_ls8c_ard_3-0-0_108077_2019-03-01_final
2019-07-12 11:27:37	ga_ls8c_ard_3-1-0_111078_2019-07-12_final
2019-08-15 11:15:27	ga_ls8c_ard_3-1-0_109078_2019-08-15_final
2019-10-11 11:09:07	ga_ls8c_ard_3-1-0_108077_2019-10-11_final
2020-02-16 11:08:46	ga_ls8c_ard_3-1-0_108077_2020-02-16_final
2020-03-28 11:04:18	ga_ls8c_ard_3-1-0_107082_2020-03-28_final
2020-05-06 11:08:09	ga_ls8c_ard_3-1-0_108077_2020-05-06_final
2020-10-13 11:09:04	ga_ls8c_ard_3-1-0_108077_2020-10-13_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years