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
2013-03-23 10:59:05	ga_ls8c_ard_3-0-0_106078_2013-03-23_final
2013-06-06 10:58:49	ga_ls8c_ard_3-0-0_106078_2013-06-06_final
2013-06-22 10:58:41	ga_ls8c_ard_3-0-0_106078_2013-06-22_final
2013-08-21 11:22:20	ga_ls8c_ard_3-0-0_110075_2013-08-21_final
2013-09-24 11:09:26	ga_ls8c_ard_3-0-0_108074_2013-09-24_final
2013-10-10 11:09:26	ga_ls8c_ard_3-0-0_108074_2013-10-10_final
2013-12-11 11:21:54	ga_ls8c_ard_3-0-0_110075_2013-12-11_final
2014-04-18 11:20:13	ga_ls8c_ard_3-0-0_110075_2014-04-18_final
2014-04-20 11:07:27	ga_ls8c_ard_3-0-0_108074_2014-04-20_final
2014-04-27 11:11:09	ga_ls8c_ard_3-0-0_109068_2014-04-27_final
2014-05-29 11:10:54	ga_ls8c_ard_3-0-0_109068_2014-05-29_final
2014-06-05 11:19:57	ga_ls8c_ard_3-0-0_110075_2014-06-05_final
2014-07-16 11:11:12	ga_ls8c_ard_3-0-0_109068_2014-07-16_final
2014-07-23 11:20:11	ga_ls8c_ard_3-0-0_110075_2014-07-23_final
2014-09-09 11:20:27	ga_ls8c_ard_3-0-0_110075_2014-09-09_final
2014-10-20 11:11:34	ga_ls8c_ard_3-0-0_109068_2014-10-20_final
2015-02-16 11:20:07	ga_ls8c_ard_3-0-0_110075_2015-02-16_final
2015-04-30 11:10:35	ga_ls8c_ard_3-0-0_109068_2015-04-30_final
2015-10-07 11:11:21	ga_ls8c_ard_3-0-0_109068_2015-10-07_final
2015-11-24 11:11:29	ga_ls8c_ard_3-0-0_109068_2015-11-24_final
2016-01-11 11:11:24	ga_ls8c_ard_3-0-0_109068_2016-01-11_final
2016-02-23 10:56:40	ga_ls8c_ard_3-0-0_106078_2016-02-23_final
2016-03-26 10:56:30	ga_ls8c_ard_3-0-0_106078_2016-03-26_final
2016-04-11 10:56:23	ga_ls8c_ard_3-0-0_106078_2016-04-11_final
2016-06-14 10:56:28	ga_ls8c_ard_3-0-0_106078_2016-06-14_final
2016-07-05 11:11:13	ga_ls8c_ard_3-0-0_109068_2016-07-05_final
2016-07-28 11:18:43	ga_ls8c_ard_3-0-0_110071_2016-07-28_final
2016-08-06 11:11:21	ga_ls8c_ard_3-0-0_109068_2016-08-06_final
2016-09-07 11:11:33	ga_ls8c_ard_3-0-0_109068_2016-09-07_final
2016-10-04 10:57:03	ga_ls8c_ard_3-0-0_106078_2016-10-04_final
2016-12-21 11:07:47	ga_ls8c_ard_3-0-0_108074_2016-12-21_final
2016-12-23 10:57:01	ga_ls8c_ard_3-0-0_106078_2016-12-23_final
2017-01-08 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-01-08_final
2017-03-13 10:56:31	ga_ls8c_ard_3-0-0_106078_2017-03-13_final
2017-03-29 10:56:22	ga_ls8c_ard_3-0-0_106078_2017-03-29_final
2017-06-17 10:56:30	ga_ls8c_ard_3-0-0_106078_2017-06-17_final
2017-08-09 11:11:21	ga_ls8c_ard_3-0-0_109068_2017-08-09_final
2017-09-10 11:11:26	ga_ls8c_ard_3-0-0_109068_2017-09-10_final
2017-10-23 10:57:05	ga_ls8c_ard_3-0-0_106078_2017-10-23_final
2017-10-28 11:11:38	ga_ls8c_ard_3-0-0_109068_2017-10-28_final
2017-11-08 10:57:03	ga_ls8c_ard_3-0-0_106078_2017-11-08_final
2017-11-13 11:11:35	ga_ls8c_ard_3-0-0_109068_2017-11-13_final
2017-11-22 11:07:45	ga_ls8c_ard_3-0-0_108074_2017-11-22_final
2017-11-24 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-11-24_final
2017-11-29 11:11:29	ga_ls8c_ard_3-0-0_109068_2017-11-29_final
2017-12-15 11:11:30	ga_ls8c_ard_3-0-0_109068_2017-12-15_final
2017-12-26 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-12-26_final
2017-12-31 11:11:29	ga_ls8c_ard_3-0-0_109068_2017-12-31_final
2018-02-12 10:56:36	ga_ls8c_ard_3-0-0_106078_2018-02-12_final
2018-02-17 11:11:08	ga_ls8c_ard_3-0-0_109068_2018-02-17_final
2018-04-15 11:06:52	ga_ls8c_ard_3-0-0_108074_2018-04-15_final
2018-04-17 10:56:04	ga_ls8c_ard_3-0-0_106078_2018-04-17_final
2018-05-19 10:55:45	ga_ls8c_ard_3-0-0_106078_2018-05-19_final
2018-05-24 11:10:14	ga_ls8c_ard_3-0-0_109068_2018-05-24_final
2018-06-09 11:10:09	ga_ls8c_ard_3-0-0_109068_2018-06-09_final
2018-06-25 11:10:20	ga_ls8c_ard_3-0-0_109068_2018-06-25_final
2018-07-04 11:06:38	ga_ls8c_ard_3-0-0_108074_2018-07-04_final
2018-07-11 11:10:28	ga_ls8c_ard_3-0-0_109068_2018-07-11_final
2018-07-22 10:55:59	ga_ls8c_ard_3-0-0_106078_2018-07-22_final
2018-07-27 11:10:34	ga_ls8c_ard_3-0-0_109068_2018-07-27_final
2018-08-07 10:56:08	ga_ls8c_ard_3-0-0_106078_2018-08-07_final
2018-08-12 11:10:44	ga_ls8c_ard_3-0-0_109068_2018-08-12_final
2018-09-13 11:10:57	ga_ls8c_ard_3-0-0_109068_2018-09-13_final
2018-09-24 10:56:27	ga_ls8c_ard_3-0-0_106078_2018-09-24_final
2018-10-10 10:56:35	ga_ls8c_ard_3-0-0_106078_2018-10-10_final
2018-10-26 10:56:40	ga_ls8c_ard_3-0-0_106078_2018-10-26_final
2018-11-27 10:56:42	ga_ls8c_ard_3-0-0_106078_2018-11-27_final
2018-12-02 11:11:15	ga_ls8c_ard_3-0-0_109068_2018-12-02_final
2018-12-29 10:56:39	ga_ls8c_ard_3-0-0_106078_2018-12-29_final
2019-01-01 11:25:10	ga_ls8c_ard_3-0-0_111072_2019-01-01_final
2019-01-12 11:08:35	ga_ls8c_ard_3-0-0_108077_2019-01-12_final
2019-01-13 11:52:39	ga_ls8c_ard_3-0-0_115079_2019-01-13_final
2019-01-14 10:56:13	ga_ls8c_ard_3-0-0_106077_2019-01-14_final
2019-01-14 10:56:37	ga_ls8c_ard_3-0-0_106078_2019-01-14_final
2019-01-21 10:58:47	ga_ls8c_ard_3-0-0_107068_2019-01-21_final
2019-01-26 11:21:41	ga_ls8c_ard_3-0-0_110079_2019-01-26_final
2019-01-29 11:50:59	ga_ls8c_ard_3-0-0_115075_2019-01-29_final
2019-02-04 11:11:06	ga_ls8c_ard_3-0-0_109068_2019-02-04_final
2019-02-04 11:15:53	ga_ls8c_ard_3-0-0_109080_2019-02-04_final
2019-02-14 11:52:33	ga_ls8c_ard_3-0-0_115079_2019-02-14_final
2019-02-15 10:56:07	ga_ls8c_ard_3-0-0_106077_2019-02-15_final
2019-02-15 10:56:31	ga_ls8c_ard_3-0-0_106078_2019-02-15_final
2019-02-18 11:25:01	ga_ls8c_ard_3-0-0_111072_2019-02-18_final
2019-02-20 11:11:03	ga_ls8c_ard_3-0-0_109068_2019-02-20_final
2019-02-25 11:29:34	ga_ls8c_ard_3-0-0_112068_2019-02-25_final
2019-03-01 11:08:25	ga_ls8c_ard_3-0-0_108077_2019-03-01_final
2019-03-02 11:50:53	ga_ls8c_ard_3-0-0_115075_2019-03-02_final
2019-03-03 10:56:03	ga_ls8c_ard_3-0-0_106077_2019-03-03_final
2019-03-06 11:24:56	ga_ls8c_ard_3-0-0_111072_2019-03-06_final
2019-04-23 11:24:41	ga_ls8c_ard_3-0-0_111072_2019-04-23_final
2019-05-05 11:52:15	ga_ls8c_ard_3-0-0_115079_2019-05-05_final
2019-05-06 10:56:15	ga_ls8c_ard_3-0-0_106078_2019-05-06_final
2019-05-16 11:29:27	ga_ls8c_ard_3-0-0_112068_2019-05-16_final
2019-05-16 11:29:51	ga_ls8c_ard_3-0-0_112069_2019-05-16_final
2019-05-18 11:21:30	ga_ls8c_ard_3-0-0_110079_2019-05-18_final
2019-05-21 11:52:26	ga_ls8c_ard_3-0-0_115079_2019-05-21_final
2019-05-22 10:56:25	ga_ls8c_ard_3-0-0_106078_2019-05-22_final
2019-05-27 11:15:48	ga_ls8c_ard_3-0-0_109080_2019-05-27_final
2019-06-06 11:52:34	ga_ls8c_ard_3-0-0_115079_2019-06-06_final
2019-06-06 11:52:58	ga_ls8c_ard_3-0-0_115080_2019-06-06_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