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
2013-04-20 11:43:26	ga_ls8c_ard_3-0-0_113082_2013-04-20_final
2013-05-06 11:43:28	ga_ls8c_ard_3-0-0_113082_2013-05-06_final
2013-05-22 11:43:40	ga_ls8c_ard_3-0-0_113082_2013-05-22_final
2013-06-23 11:43:33	ga_ls8c_ard_3-0-0_113082_2013-06-23_final
2013-07-09 11:43:38	ga_ls8c_ard_3-0-0_113082_2013-07-09_final
2013-08-10 11:43:39	ga_ls8c_ard_3-0-0_113082_2013-08-10_final
2013-08-26 11:43:41	ga_ls8c_ard_3-0-0_113082_2013-08-26_final
2013-09-27 11:43:30	ga_ls8c_ard_3-0-0_113082_2013-09-27_final
2013-10-29 11:43:21	ga_ls8c_ard_3-0-0_113082_2013-10-29_final
2013-12-27 11:22:32	ga_ls8c_ard_3-0-0_110077_2013-12-27_final
2014-01-01 11:43:02	ga_ls8c_ard_3-0-0_113082_2014-01-01_final
2014-02-18 11:42:28	ga_ls8c_ard_3-0-0_113082_2014-02-18_final
2014-04-07 11:41:47	ga_ls8c_ard_3-0-0_113082_2014-04-07_final
2014-04-23 11:41:31	ga_ls8c_ard_3-0-0_113082_2014-04-23_final
2014-05-25 11:41:09	ga_ls8c_ard_3-0-0_113082_2014-05-25_final
2014-06-26 11:41:21	ga_ls8c_ard_3-0-0_113082_2014-06-26_final
2014-07-12 11:41:30	ga_ls8c_ard_3-0-0_113082_2014-07-12_final
2014-07-28 11:41:33	ga_ls8c_ard_3-0-0_113082_2014-07-28_final
2014-08-29 11:41:43	ga_ls8c_ard_3-0-0_113082_2014-08-29_final
2014-09-30 11:41:47	ga_ls8c_ard_3-0-0_113082_2014-09-30_final
2014-10-16 11:41:52	ga_ls8c_ard_3-0-0_113082_2014-10-16_final
2014-10-28 10:22:52	ga_ls8c_ard_3-0-0_101070_2014-10-28_final
2014-11-17 11:41:50	ga_ls8c_ard_3-0-0_113082_2014-11-17_final
2014-12-03 11:41:49	ga_ls8c_ard_3-0-0_113082_2014-12-03_final
2015-02-05 11:41:34	ga_ls8c_ard_3-0-0_113082_2015-02-05_final
2015-02-17 10:22:30	ga_ls8c_ard_3-0-0_101070_2015-02-17_final
2015-03-05 10:22:25	ga_ls8c_ard_3-0-0_101070_2015-03-05_final
2015-04-06 10:22:04	ga_ls8c_ard_3-0-0_101070_2015-04-06_final
2015-04-10 11:41:00	ga_ls8c_ard_3-0-0_113082_2015-04-10_final
2015-04-22 10:22:03	ga_ls8c_ard_3-0-0_101070_2015-04-22_final
2015-04-26 11:40:57	ga_ls8c_ard_3-0-0_113082_2015-04-26_final
2015-05-12 11:40:41	ga_ls8c_ard_3-0-0_113082_2015-05-12_final
2015-05-28 11:40:43	ga_ls8c_ard_3-0-0_113082_2015-05-28_final
2015-06-13 11:40:55	ga_ls8c_ard_3-0-0_113082_2015-06-13_final
2015-06-25 10:22:01	ga_ls8c_ard_3-0-0_101070_2015-06-25_final
2015-06-29 11:41:01	ga_ls8c_ard_3-0-0_113082_2015-06-29_final
2015-08-16 11:41:21	ga_ls8c_ard_3-0-0_113082_2015-08-16_final
2015-09-13 10:22:36	ga_ls8c_ard_3-0-0_101070_2015-09-13_final
2015-09-17 11:41:35	ga_ls8c_ard_3-0-0_113082_2015-09-17_final
2015-11-16 10:22:48	ga_ls8c_ard_3-0-0_101070_2015-11-16_final
2015-12-22 11:41:47	ga_ls8c_ard_3-0-0_113082_2015-12-22_final
2016-01-07 11:41:42	ga_ls8c_ard_3-0-0_113082_2016-01-07_final
2016-01-19 10:22:46	ga_ls8c_ard_3-0-0_101070_2016-01-19_final
2016-02-20 10:22:35	ga_ls8c_ard_3-0-0_101070_2016-02-20_final
2016-03-11 11:41:30	ga_ls8c_ard_3-0-0_113082_2016-03-11_final
2016-03-27 11:41:21	ga_ls8c_ard_3-0-0_113082_2016-03-27_final
2016-04-08 10:22:19	ga_ls8c_ard_3-0-0_101070_2016-04-08_final
2016-05-14 11:41:11	ga_ls8c_ard_3-0-0_113082_2016-05-14_final
2016-05-30 11:41:17	ga_ls8c_ard_3-0-0_113082_2016-05-30_final
2016-06-15 11:41:20	ga_ls8c_ard_3-0-0_113082_2016-06-15_final
2016-06-27 10:22:30	ga_ls8c_ard_3-0-0_101070_2016-06-27_final
2016-07-01 11:41:29	ga_ls8c_ard_3-0-0_113082_2016-07-01_final
2016-07-17 11:41:36	ga_ls8c_ard_3-0-0_113082_2016-07-17_final
2016-07-29 10:22:42	ga_ls8c_ard_3-0-0_101070_2016-07-29_final
2016-08-02 11:41:40	ga_ls8c_ard_3-0-0_113082_2016-08-02_final
2016-08-14 10:22:44	ga_ls8c_ard_3-0-0_101070_2016-08-14_final
2016-08-18 11:41:44	ga_ls8c_ard_3-0-0_113082_2016-08-18_final
2016-08-30 10:22:52	ga_ls8c_ard_3-0-0_101070_2016-08-30_final
2016-10-05 11:41:55	ga_ls8c_ard_3-0-0_113082_2016-10-05_final
2016-10-17 10:23:01	ga_ls8c_ard_3-0-0_101070_2016-10-17_final
2016-11-06 11:41:59	ga_ls8c_ard_3-0-0_113082_2016-11-06_final
2016-11-18 10:23:02	ga_ls8c_ard_3-0-0_101070_2016-11-18_final
2016-12-08 11:41:57	ga_ls8c_ard_3-0-0_113082_2016-12-08_final
2016-12-24 11:41:52	ga_ls8c_ard_3-0-0_113082_2016-12-24_final
2017-02-06 10:22:41	ga_ls8c_ard_3-0-0_101070_2017-02-06_final
2017-02-10 11:41:36	ga_ls8c_ard_3-0-0_113082_2017-02-10_final
2017-02-22 10:22:35	ga_ls8c_ard_3-0-0_101070_2017-02-22_final
2017-05-01 11:40:55	ga_ls8c_ard_3-0-0_113082_2017-05-01_final
2017-05-13 10:22:05	ga_ls8c_ard_3-0-0_101070_2017-05-13_final
2017-06-18 11:41:22	ga_ls8c_ard_3-0-0_113082_2017-06-18_final
2017-07-16 10:22:31	ga_ls8c_ard_3-0-0_101070_2017-07-16_final
2017-08-05 11:41:38	ga_ls8c_ard_3-0-0_113082_2017-08-05_final
2017-08-17 10:22:45	ga_ls8c_ard_3-0-0_101070_2017-08-17_final
2017-09-02 10:22:48	ga_ls8c_ard_3-0-0_101070_2017-09-02_final
2017-09-18 10:22:49	ga_ls8c_ard_3-0-0_101070_2017-09-18_final
2017-10-24 11:41:57	ga_ls8c_ard_3-0-0_113082_2017-10-24_final
2017-11-21 10:22:54	ga_ls8c_ard_3-0-0_101070_2017-11-21_final
2017-12-11 11:41:47	ga_ls8c_ard_3-0-0_113082_2017-12-11_final
2017-12-23 10:22:53	ga_ls8c_ard_3-0-0_101070_2017-12-23_final
2018-01-08 10:22:48	ga_ls8c_ard_3-0-0_101070_2018-01-08_final
2018-01-12 11:41:43	ga_ls8c_ard_3-0-0_113082_2018-01-12_final
2018-02-13 11:41:27	ga_ls8c_ard_3-0-0_113082_2018-02-13_final
2018-02-25 10:22:25	ga_ls8c_ard_3-0-0_101070_2018-02-25_final
2018-03-17 11:41:11	ga_ls8c_ard_3-0-0_113082_2018-03-17_final
2018-04-02 11:41:05	ga_ls8c_ard_3-0-0_113082_2018-04-02_final
2018-04-18 11:40:55	ga_ls8c_ard_3-0-0_113082_2018-04-18_final
2018-04-30 10:21:52	ga_ls8c_ard_3-0-0_101070_2018-04-30_final
2018-05-16 10:21:41	ga_ls8c_ard_3-0-0_101070_2018-05-16_final
2018-06-05 11:40:25	ga_ls8c_ard_3-0-0_113082_2018-06-05_final
2018-07-07 11:40:45	ga_ls8c_ard_3-0-0_113082_2018-07-07_final
2018-08-04 10:22:01	ga_ls8c_ard_3-0-0_101070_2018-08-04_final
2018-08-08 11:41:00	ga_ls8c_ard_3-0-0_113082_2018-08-08_final
2018-08-20 10:22:09	ga_ls8c_ard_3-0-0_101070_2018-08-20_final
2018-08-24 11:41:08	ga_ls8c_ard_3-0-0_113082_2018-08-24_final
2018-09-21 10:22:20	ga_ls8c_ard_3-0-0_101070_2018-09-21_final
2018-09-25 11:41:19	ga_ls8c_ard_3-0-0_113082_2018-09-25_final
2018-10-27 11:41:32	ga_ls8c_ard_3-0-0_113082_2018-10-27_final
2018-11-08 10:22:37	ga_ls8c_ard_3-0-0_101070_2018-11-08_final
2018-11-12 11:41:34	ga_ls8c_ard_3-0-0_113082_2018-11-12_final
2018-11-24 10:22:37	ga_ls8c_ard_3-0-0_101070_2018-11-24_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