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
2013-12-24 09:13:34	ga_ls8c_ard_3-0-0_089079_2013-12-23_final
2013-12-24 09:13:58	ga_ls8c_ard_3-0-0_089080_2013-12-23_final
2013-12-24 09:14:22	ga_ls8c_ard_3-0-0_089081_2013-12-23_final
2013-12-24 09:14:46	ga_ls8c_ard_3-0-0_089082_2013-12-23_final
2013-12-24 09:15:10	ga_ls8c_ard_3-0-0_089083_2013-12-23_final
2013-12-29 09:27:17	ga_ls8c_ard_3-0-0_092067_2013-12-28_final
2013-12-29 09:27:41	ga_ls8c_ard_3-0-0_092068_2013-12-28_final
2014-04-20 09:25:46	ga_ls8c_ard_3-0-0_092067_2014-04-19_final
2014-04-20 09:26:10	ga_ls8c_ard_3-0-0_092068_2014-04-19_final
2014-04-22 09:16:35	ga_ls8c_ard_3-0-0_090075_2014-04-21_final
2014-04-22 09:16:59	ga_ls8c_ard_3-0-0_090076_2014-04-21_final
2014-04-22 09:17:23	ga_ls8c_ard_3-0-0_090077_2014-04-21_final
2014-04-22 09:17:47	ga_ls8c_ard_3-0-0_090078_2014-04-21_final
2014-04-22 09:18:11	ga_ls8c_ard_3-0-0_090079_2014-04-21_final
2014-04-22 09:18:35	ga_ls8c_ard_3-0-0_090080_2014-04-21_final
2014-06-16 09:22:11	ga_ls8c_ard_3-0-0_091074_2014-06-15_final
2014-06-16 09:22:35	ga_ls8c_ard_3-0-0_091075_2014-06-15_final
2014-06-18 09:11:50	ga_ls8c_ard_3-0-0_089079_2014-06-17_final
2014-06-18 09:12:14	ga_ls8c_ard_3-0-0_089080_2014-06-17_final
2014-06-18 09:12:38	ga_ls8c_ard_3-0-0_089081_2014-06-17_final
2014-06-18 09:13:02	ga_ls8c_ard_3-0-0_089082_2014-06-17_final
2014-06-18 09:13:25	ga_ls8c_ard_3-0-0_089083_2014-06-17_final
2014-06-18 09:13:49	ga_ls8c_ard_3-0-0_089084_2014-06-17_final
2014-07-18 09:21:33	ga_ls8c_ard_3-0-0_091072_2014-07-17_final
2014-07-18 09:21:57	ga_ls8c_ard_3-0-0_091073_2014-07-17_final
2014-07-18 09:22:21	ga_ls8c_ard_3-0-0_091074_2014-07-17_final
2014-07-18 09:22:45	ga_ls8c_ard_3-0-0_091075_2014-07-17_final
2015-07-07 09:11:35	ga_ls8c_ard_3-0-0_089079_2015-07-06_final
2015-07-07 09:11:59	ga_ls8c_ard_3-0-0_089080_2015-07-06_final
2015-07-07 09:12:23	ga_ls8c_ard_3-0-0_089081_2015-07-06_final
2015-07-07 09:12:47	ga_ls8c_ard_3-0-0_089082_2015-07-06_final
2015-07-07 09:13:11	ga_ls8c_ard_3-0-0_089083_2015-07-06_final
2015-07-07 09:13:35	ga_ls8c_ard_3-0-0_089084_2015-07-06_final
2015-07-23 09:11:42	ga_ls8c_ard_3-0-0_089079_2015-07-22_final
2015-07-23 09:12:06	ga_ls8c_ard_3-0-0_089080_2015-07-22_final
2015-07-23 09:12:30	ga_ls8c_ard_3-0-0_089081_2015-07-22_final
2015-07-23 09:12:54	ga_ls8c_ard_3-0-0_089082_2015-07-22_final
2015-07-23 09:13:18	ga_ls8c_ard_3-0-0_089083_2015-07-22_final
2015-07-23 09:13:42	ga_ls8c_ard_3-0-0_089084_2015-07-22_final
2015-08-08 09:11:45	ga_ls8c_ard_3-0-0_089079_2015-08-07_final
2015-08-08 09:12:09	ga_ls8c_ard_3-0-0_089080_2015-08-07_final
2015-08-08 09:12:33	ga_ls8c_ard_3-0-0_089081_2015-08-07_final
2015-08-08 09:12:57	ga_ls8c_ard_3-0-0_089082_2015-08-07_final
2015-08-08 09:13:21	ga_ls8c_ard_3-0-0_089083_2015-08-07_final
2015-08-08 09:13:45	ga_ls8c_ard_3-0-0_089084_2015-08-07_final
2015-09-09 09:11:59	ga_ls8c_ard_3-0-0_089079_2015-09-08_final
2015-09-09 09:12:23	ga_ls8c_ard_3-0-0_089080_2015-09-08_final
2015-09-09 09:12:47	ga_ls8c_ard_3-0-0_089081_2015-09-08_final
2015-09-09 09:13:11	ga_ls8c_ard_3-0-0_089082_2015-09-08_final
2015-09-09 09:13:35	ga_ls8c_ard_3-0-0_089083_2015-09-08_final
2015-09-09 09:13:59	ga_ls8c_ard_3-0-0_089084_2015-09-08_final
2015-10-18 09:16:43	ga_ls8c_ard_3-0-0_090075_2015-10-17_final
2015-10-18 09:17:07	ga_ls8c_ard_3-0-0_090076_2015-10-17_final
2015-10-18 09:17:31	ga_ls8c_ard_3-0-0_090077_2015-10-17_final
2015-10-18 09:17:55	ga_ls8c_ard_3-0-0_090078_2015-10-17_final
2015-10-18 09:18:19	ga_ls8c_ard_3-0-0_090079_2015-10-17_final
2015-10-18 09:18:43	ga_ls8c_ard_3-0-0_090080_2015-10-17_final
2015-10-27 09:12:13	ga_ls8c_ard_3-0-0_089079_2015-10-26_final
2015-10-27 09:12:37	ga_ls8c_ard_3-0-0_089080_2015-10-26_final
2015-10-27 09:13:00	ga_ls8c_ard_3-0-0_089081_2015-10-26_final
2015-10-27 09:13:24	ga_ls8c_ard_3-0-0_089082_2015-10-26_final
2015-10-27 09:13:48	ga_ls8c_ard_3-0-0_089083_2015-10-26_final
2015-10-27 09:14:12	ga_ls8c_ard_3-0-0_089084_2015-10-26_final
2015-11-19 09:16:26	ga_ls8c_ard_3-0-0_090074_2015-11-18_final
2015-11-19 09:16:50	ga_ls8c_ard_3-0-0_090075_2015-11-18_final
2015-11-19 09:17:14	ga_ls8c_ard_3-0-0_090076_2015-11-18_final
2015-11-19 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-11-18_final
2015-11-19 09:18:02	ga_ls8c_ard_3-0-0_090078_2015-11-18_final
2015-11-19 09:18:26	ga_ls8c_ard_3-0-0_090079_2015-11-18_final
2015-11-19 09:18:50	ga_ls8c_ard_3-0-0_090080_2015-11-18_final
2015-11-28 09:12:16	ga_ls8c_ard_3-0-0_089079_2015-11-27_final
2015-11-28 09:12:40	ga_ls8c_ard_3-0-0_089080_2015-11-27_final
2015-12-03 09:27:36	ga_ls8c_ard_3-0-0_092071_2015-12-02_final
2015-12-05 09:16:26	ga_ls8c_ard_3-0-0_090074_2015-12-04_final
2015-12-05 09:16:50	ga_ls8c_ard_3-0-0_090075_2015-12-04_final
2015-12-05 09:17:14	ga_ls8c_ard_3-0-0_090076_2015-12-04_final
2015-12-05 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-12-04_final
2015-12-05 09:18:02	ga_ls8c_ard_3-0-0_090078_2015-12-04_final
2015-12-05 09:18:26	ga_ls8c_ard_3-0-0_090079_2015-12-04_final
2015-12-05 09:18:50	ga_ls8c_ard_3-0-0_090080_2015-12-04_final
2016-01-20 09:27:33	ga_ls8c_ard_3-0-0_092071_2016-01-19_final
2016-01-22 09:16:23	ga_ls8c_ard_3-0-0_090074_2016-01-21_final
2016-01-22 09:16:47	ga_ls8c_ard_3-0-0_090075_2016-01-21_final
2016-01-22 09:17:11	ga_ls8c_ard_3-0-0_090076_2016-01-21_final
2016-01-22 09:17:35	ga_ls8c_ard_3-0-0_090077_2016-01-21_final
2016-01-22 09:17:59	ga_ls8c_ard_3-0-0_090078_2016-01-21_final
2016-01-22 09:18:23	ga_ls8c_ard_3-0-0_090079_2016-01-21_final
2016-01-22 09:18:47	ga_ls8c_ard_3-0-0_090080_2016-01-21_final
2018-03-07 09:21:20	ga_ls8c_ard_3-0-0_091072_2018-03-06_final
2018-03-07 09:21:44	ga_ls8c_ard_3-0-0_091073_2018-03-06_final
2018-03-07 09:22:08	ga_ls8c_ard_3-0-0_091074_2018-03-06_final
2018-03-07 09:22:32	ga_ls8c_ard_3-0-0_091075_2018-03-06_final
2018-03-07 09:22:56	ga_ls8c_ard_3-0-0_091076_2018-03-06_final
2018-05-10 09:20:45	ga_ls8c_ard_3-0-0_091072_2018-05-09_final
2018-05-10 09:21:09	ga_ls8c_ard_3-0-0_091073_2018-05-09_final
2018-05-10 09:21:33	ga_ls8c_ard_3-0-0_091074_2018-05-09_final
2018-05-10 09:21:57	ga_ls8c_ard_3-0-0_091075_2018-05-09_final
2018-05-26 09:20:33	ga_ls8c_ard_3-0-0_091072_2018-05-25_final
2018-05-26 09:20:57	ga_ls8c_ard_3-0-0_091073_2018-05-25_final
2018-05-26 09:21:21	ga_ls8c_ard_3-0-0_091074_2018-05-25_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