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
2013-03-29 11:32:14	ga_ls8c_ard_3-0-0_112075_2013-03-29_final
2013-04-13 11:34:28	ga_ls8c_ard_3-0-0_112075_2013-04-13_final
2013-05-31 11:34:43	ga_ls8c_ard_3-0-0_112075_2013-05-31_final
2013-06-16 11:34:38	ga_ls8c_ard_3-0-0_112075_2013-06-16_final
2013-07-02 11:34:38	ga_ls8c_ard_3-0-0_112075_2013-07-02_final
2013-10-06 11:34:33	ga_ls8c_ard_3-0-0_112075_2013-10-06_final
2013-12-09 11:34:16	ga_ls8c_ard_3-0-0_112075_2013-12-09_final
2014-01-26 11:33:47	ga_ls8c_ard_3-0-0_112075_2014-01-26_final
2014-03-31 11:32:53	ga_ls8c_ard_3-0-0_112075_2014-03-31_final
2014-07-05 11:32:29	ga_ls8c_ard_3-0-0_112075_2014-07-05_final
2014-07-21 11:32:32	ga_ls8c_ard_3-0-0_112075_2014-07-21_final
2014-08-06 11:32:41	ga_ls8c_ard_3-0-0_112075_2014-08-06_final
2014-08-22 11:32:45	ga_ls8c_ard_3-0-0_112075_2014-08-22_final
2014-09-23 11:32:45	ga_ls8c_ard_3-0-0_112075_2014-09-23_final
2014-10-09 11:32:52	ga_ls8c_ard_3-0-0_112075_2014-10-09_final
2014-10-25 11:32:53	ga_ls8c_ard_3-0-0_112075_2014-10-25_final
2014-11-10 11:32:54	ga_ls8c_ard_3-0-0_112075_2014-11-10_final
2014-12-28 11:32:44	ga_ls8c_ard_3-0-0_112075_2014-12-28_final
2015-03-18 11:32:15	ga_ls8c_ard_3-0-0_112075_2015-03-18_final
2015-05-05 11:31:49	ga_ls8c_ard_3-0-0_112075_2015-05-05_final
2015-05-21 11:31:43	ga_ls8c_ard_3-0-0_112075_2015-05-21_final
2015-06-06 11:31:51	ga_ls8c_ard_3-0-0_112075_2015-06-06_final
2015-08-09 11:32:19	ga_ls8c_ard_3-0-0_112075_2015-08-09_final
2015-09-26 11:32:40	ga_ls8c_ard_3-0-0_112075_2015-09-26_final
2015-10-12 11:29:29	ga_ls8c_ard_3-0-0_112067_2015-10-12_final
2015-10-28 11:32:46	ga_ls8c_ard_3-0-0_112075_2015-10-28_final
2015-11-13 11:32:46	ga_ls8c_ard_3-0-0_112075_2015-11-13_final
2015-12-15 11:32:48	ga_ls8c_ard_3-0-0_112075_2015-12-15_final
2015-12-31 11:32:47	ga_ls8c_ard_3-0-0_112075_2015-12-31_final
2016-03-04 11:32:33	ga_ls8c_ard_3-0-0_112075_2016-03-04_final
2016-04-21 11:32:12	ga_ls8c_ard_3-0-0_112075_2016-04-21_final
2016-05-07 11:32:15	ga_ls8c_ard_3-0-0_112075_2016-05-07_final
2016-05-23 11:32:17	ga_ls8c_ard_3-0-0_112075_2016-05-23_final
2016-06-24 11:32:27	ga_ls8c_ard_3-0-0_112075_2016-06-24_final
2016-07-10 11:32:35	ga_ls8c_ard_3-0-0_112075_2016-07-10_final
2016-08-11 11:32:42	ga_ls8c_ard_3-0-0_112075_2016-08-11_final
2016-09-12 11:32:53	ga_ls8c_ard_3-0-0_112075_2016-09-12_final
2016-10-30 11:33:01	ga_ls8c_ard_3-0-0_112075_2016-10-30_final
2017-01-02 11:32:52	ga_ls8c_ard_3-0-0_112075_2017-01-02_final
2017-01-18 11:32:48	ga_ls8c_ard_3-0-0_112075_2017-01-18_final
2017-02-03 11:34:17	ga_ls8c_ard_3-0-0_112079_2017-02-03_final
2017-03-23 11:32:18	ga_ls8c_ard_3-0-0_112075_2017-03-23_final
2017-04-08 11:32:11	ga_ls8c_ard_3-0-0_112075_2017-04-08_final
2017-04-13 11:51:29	ga_ls8c_ard_3-0-0_115077_2017-04-13_final
2017-04-24 11:32:01	ga_ls8c_ard_3-0-0_112075_2017-04-24_final
2017-05-15 11:51:26	ga_ls8c_ard_3-0-0_115077_2017-05-15_final
2017-07-02 11:51:47	ga_ls8c_ard_3-0-0_115077_2017-07-02_final
2017-07-13 11:32:28	ga_ls8c_ard_3-0-0_112075_2017-07-13_final
2017-08-14 11:32:42	ga_ls8c_ard_3-0-0_112075_2017-08-14_final
2017-08-30 11:32:46	ga_ls8c_ard_3-0-0_112075_2017-08-30_final
2017-09-15 11:32:46	ga_ls8c_ard_3-0-0_112075_2017-09-15_final
2017-09-20 11:52:09	ga_ls8c_ard_3-0-0_115077_2017-09-20_final
2017-10-06 11:52:16	ga_ls8c_ard_3-0-0_115077_2017-10-06_final
2017-11-18 11:32:54	ga_ls8c_ard_3-0-0_112075_2017-11-18_final
2017-12-04 11:32:49	ga_ls8c_ard_3-0-0_112075_2017-12-04_final
2018-01-21 11:32:40	ga_ls8c_ard_3-0-0_112075_2018-01-21_final
2018-03-26 11:32:09	ga_ls8c_ard_3-0-0_112075_2018-03-26_final
2018-04-16 11:51:18	ga_ls8c_ard_3-0-0_115077_2018-04-16_final
2018-04-27 11:31:52	ga_ls8c_ard_3-0-0_112075_2018-04-27_final
2018-05-29 11:31:30	ga_ls8c_ard_3-0-0_112075_2018-05-29_final
2018-06-30 11:31:43	ga_ls8c_ard_3-0-0_112075_2018-06-30_final
2018-08-17 11:32:07	ga_ls8c_ard_3-0-0_112075_2018-08-17_final
2018-08-22 11:51:29	ga_ls8c_ard_3-0-0_115077_2018-08-22_final
2018-09-02 11:32:13	ga_ls8c_ard_3-0-0_112075_2018-09-02_final
2018-09-18 11:32:18	ga_ls8c_ard_3-0-0_112075_2018-09-18_final
2018-10-25 11:51:54	ga_ls8c_ard_3-0-0_115077_2018-10-25_final
2018-11-05 11:32:35	ga_ls8c_ard_3-0-0_112075_2018-11-05_final
2019-01-01 11:27:33	ga_ls8c_ard_3-0-0_111078_2019-01-01_final
2019-01-01 11:27:57	ga_ls8c_ard_3-0-0_111079_2019-01-01_final
2019-01-01 11:29:33	ga_ls8c_ard_3-0-0_111083_2019-01-01_final
2019-01-06 11:46:05	ga_ls8c_ard_3-0-0_114078_2019-01-06_final
2019-01-08 11:31:20	ga_ls8c_ard_3-0-0_112072_2019-01-08_final
2019-01-22 11:44:50	ga_ls8c_ard_3-0-0_114075_2019-01-22_final
2019-01-22 11:46:02	ga_ls8c_ard_3-0-0_114078_2019-01-22_final
2019-01-24 11:31:16	ga_ls8c_ard_3-0-0_112072_2019-01-24_final
2019-01-24 11:32:28	ga_ls8c_ard_3-0-0_112075_2019-01-24_final
2019-01-29 11:51:47	ga_ls8c_ard_3-0-0_115077_2019-01-29_final
2019-02-02 11:27:27	ga_ls8c_ard_3-0-0_111078_2019-02-02_final
2019-02-07 11:44:47	ga_ls8c_ard_3-0-0_114075_2019-02-07_final
2019-02-09 11:31:13	ga_ls8c_ard_3-0-0_112072_2019-02-09_final
2019-02-09 11:32:49	ga_ls8c_ard_3-0-0_112076_2019-02-09_final
2019-02-18 11:27:25	ga_ls8c_ard_3-0-0_111078_2019-02-18_final
2019-02-18 11:27:49	ga_ls8c_ard_3-0-0_111079_2019-02-18_final
2019-02-25 11:36:21	ga_ls8c_ard_3-0-0_112085_2019-02-25_final
2019-03-02 11:51:41	ga_ls8c_ard_3-0-0_115077_2019-03-02_final
2019-03-06 11:25:44	ga_ls8c_ard_3-0-0_111074_2019-03-06_final
2019-03-06 11:27:20	ga_ls8c_ard_3-0-0_111078_2019-03-06_final
2019-03-06 11:29:20	ga_ls8c_ard_3-0-0_111083_2019-03-06_final
2019-04-23 11:25:29	ga_ls8c_ard_3-0-0_111074_2019-04-23_final
2019-04-23 11:27:29	ga_ls8c_ard_3-0-0_111079_2019-04-23_final
2019-04-28 11:45:37	ga_ls8c_ard_3-0-0_114078_2019-04-28_final
2019-04-30 11:30:53	ga_ls8c_ard_3-0-0_112072_2019-04-30_final
2019-04-30 11:32:05	ga_ls8c_ard_3-0-0_112075_2019-04-30_final
2019-05-09 11:25:35	ga_ls8c_ard_3-0-0_111074_2019-05-09_final
2019-05-16 11:35:50	ga_ls8c_ard_3-0-0_112084_2019-05-16_final
2019-05-16 11:36:14	ga_ls8c_ard_3-0-0_112085_2019-05-16_final
2019-05-25 11:25:45	ga_ls8c_ard_3-0-0_111074_2019-05-25_final
2019-05-25 11:27:45	ga_ls8c_ard_3-0-0_111079_2019-05-25_final
2019-06-01 11:36:23	ga_ls8c_ard_3-0-0_112085_2019-06-01_final
2019-06-10 11:27:28	ga_ls8c_ard_3-0-0_111078_2019-06-10_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