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
2013-06-09 11:25:19	ga_ls8c_ard_3-0-0_111067_2013-06-09_final
2013-06-09 11:25:43	ga_ls8c_ard_3-0-0_111068_2013-06-09_final
2013-06-11 11:14:56	ga_ls8c_ard_3-0-0_109072_2013-06-11_final
2013-06-11 11:15:20	ga_ls8c_ard_3-0-0_109073_2013-06-11_final
2013-06-11 11:15:44	ga_ls8c_ard_3-0-0_109074_2013-06-11_final
2013-06-11 11:16:08	ga_ls8c_ard_3-0-0_109075_2013-06-11_final
2013-06-11 11:16:32	ga_ls8c_ard_3-0-0_109076_2013-06-11_final
2013-06-11 11:16:56	ga_ls8c_ard_3-0-0_109077_2013-06-11_final
2013-06-13 11:05:45	ga_ls8c_ard_3-0-0_107080_2013-06-13_final
2013-06-13 11:06:09	ga_ls8c_ard_3-0-0_107081_2013-06-13_final
2013-06-13 11:06:33	ga_ls8c_ard_3-1-0_107082_2013-06-13_final
2013-06-13 11:06:57	ga_ls8c_ard_3-0-0_107083_2013-06-13_final
2013-11-11 11:10:05	ga_ls8c_ard_3-0-0_108076_2013-11-11_final
2013-11-11 11:10:28	ga_ls8c_ard_3-0-0_108077_2013-11-11_final
2013-11-11 11:10:52	ga_ls8c_ard_3-0-0_108078_2013-11-11_final
2014-08-17 11:13:00	ga_ls8c_ard_3-0-0_109072_2014-08-17_final
2014-08-17 11:13:24	ga_ls8c_ard_3-0-0_109073_2014-08-17_final
2014-08-17 11:13:48	ga_ls8c_ard_3-0-0_109074_2014-08-17_final
2014-08-17 11:14:11	ga_ls8c_ard_3-0-0_109075_2014-08-17_final
2014-08-17 11:14:35	ga_ls8c_ard_3-0-0_109076_2014-08-17_final
2014-08-17 11:14:59	ga_ls8c_ard_3-0-0_109077_2014-08-17_final
2014-08-19 11:03:50	ga_ls8c_ard_3-0-0_107080_2014-08-19_final
2014-08-19 11:04:14	ga_ls8c_ard_3-0-0_107081_2014-08-19_final
2014-08-19 11:04:38	ga_ls8c_ard_3-0-0_107082_2014-08-19_final
2014-08-19 11:05:02	ga_ls8c_ard_3-0-0_107083_2014-08-19_final
2014-08-19 11:05:26	ga_ls8c_ard_3-0-0_107084_2014-08-19_final
2014-11-03 11:23:30	ga_ls8c_ard_3-0-0_111067_2014-11-03_final
2014-11-03 11:23:53	ga_ls8c_ard_3-0-0_111068_2014-11-03_final
2015-02-25 11:12:43	ga_ls8c_ard_3-0-0_109072_2015-02-25_final
2015-02-25 11:13:07	ga_ls8c_ard_3-0-0_109073_2015-02-25_final
2015-02-25 11:13:31	ga_ls8c_ard_3-0-0_109074_2015-02-25_final
2015-02-25 11:13:55	ga_ls8c_ard_3-1-0_109075_2015-02-25_final
2015-02-25 11:14:19	ga_ls8c_ard_3-0-0_109076_2015-02-25_final
2015-02-25 11:14:43	ga_ls8c_ard_3-0-0_109077_2015-02-25_final
2015-02-27 11:03:33	ga_ls8c_ard_3-0-0_107080_2015-02-27_final
2015-02-27 11:03:57	ga_ls8c_ard_3-0-0_107081_2015-02-27_final
2015-02-27 11:04:20	ga_ls8c_ard_3-1-0_107082_2015-02-27_final
2015-02-27 11:04:44	ga_ls8c_ard_3-0-0_107083_2015-02-27_final
2015-02-27 11:05:08	ga_ls8c_ard_3-0-0_107084_2015-02-27_final
2015-02-27 11:05:32	ga_ls8c_ard_3-0-0_107085_2015-02-27_final
2018-03-14 11:07:55	ga_ls8c_ard_3-0-0_108076_2018-03-14_final
2018-03-14 11:08:19	ga_ls8c_ard_3-0-0_108077_2018-03-14_final
2018-03-14 11:08:43	ga_ls8c_ard_3-0-0_108078_2018-03-14_final
2018-03-14 11:09:07	ga_ls8c_ard_3-0-0_108079_2018-03-14_final
2018-03-14 11:09:31	ga_ls8c_ard_3-0-0_108080_2018-03-14_final
2018-03-14 11:09:55	ga_ls8c_ard_3-0-0_108081_2018-03-14_final
2018-03-14 11:10:19	ga_ls8c_ard_3-0-0_108082_2018-03-14_final
2018-05-15 11:16:08	ga_ls8c_ard_3-0-0_110067_2018-05-15_final
2018-05-15 11:16:32	ga_ls8c_ard_3-0-0_110068_2018-05-15_final
2018-05-15 11:16:56	ga_ls8c_ard_3-0-0_110069_2018-05-15_final
2018-05-15 11:17:19	ga_ls8c_ard_3-0-0_110070_2018-05-15_final
2018-05-15 11:17:43	ga_ls8c_ard_3-0-0_110071_2018-05-15_final
2018-05-15 11:18:07	ga_ls8c_ard_3-0-0_110072_2018-05-15_final
2018-05-15 11:18:31	ga_ls8c_ard_3-0-0_110073_2018-05-15_final
2018-05-17 11:07:20	ga_ls8c_ard_3-0-0_108076_2018-05-17_final
2018-05-17 11:07:44	ga_ls8c_ard_3-0-0_108077_2018-05-17_final
2018-05-17 11:08:08	ga_ls8c_ard_3-0-0_108078_2018-05-17_final
2018-05-17 11:08:32	ga_ls8c_ard_3-0-0_108079_2018-05-17_final
2018-05-17 11:08:56	ga_ls8c_ard_3-0-0_108080_2018-05-17_final
2018-05-17 11:09:20	ga_ls8c_ard_3-0-0_108081_2018-05-17_final
2018-05-17 11:09:44	ga_ls8c_ard_3-0-0_108082_2018-05-17_final
2019-08-22 11:17:17	ga_ls8c_ard_3-1-0_110067_2019-08-22_final
2019-08-22 11:17:41	ga_ls8c_ard_3-1-0_110068_2019-08-22_final
2019-08-22 11:18:04	ga_ls8c_ard_3-1-0_110069_2019-08-22_final
2019-08-22 11:18:28	ga_ls8c_ard_3-1-0_110070_2019-08-22_final
2019-08-22 11:18:52	ga_ls8c_ard_3-1-0_110071_2019-08-22_final
2019-08-22 11:19:16	ga_ls8c_ard_3-1-0_110072_2019-08-22_final
2019-08-22 11:19:40	ga_ls8c_ard_3-1-0_110073_2019-08-22_final
2019-08-24 11:08:31	ga_ls8c_ard_3-1-0_108076_2019-08-24_final
2019-08-24 11:08:55	ga_ls8c_ard_3-1-0_108077_2019-08-24_final
2019-08-24 11:09:19	ga_ls8c_ard_3-1-0_108078_2019-08-24_final
2019-08-24 11:09:43	ga_ls8c_ard_3-1-0_108079_2019-08-24_final
2019-08-24 11:10:07	ga_ls8c_ard_3-1-0_108080_2019-08-24_final
2019-08-24 11:10:31	ga_ls8c_ard_3-1-0_108081_2019-08-24_final
2019-08-24 11:10:55	ga_ls8c_ard_3-1-0_108082_2019-08-24_final
2019-09-23 11:17:26	ga_ls8c_ard_3-1-0_110067_2019-09-23_final
2019-09-23 11:17:50	ga_ls8c_ard_3-1-0_110068_2019-09-23_final
2019-09-23 11:18:14	ga_ls8c_ard_3-1-0_110069_2019-09-23_final
2019-09-23 11:18:38	ga_ls8c_ard_3-1-0_110070_2019-09-23_final
2019-09-23 11:19:02	ga_ls8c_ard_3-1-0_110071_2019-09-23_final
2019-09-23 11:19:26	ga_ls8c_ard_3-1-0_110072_2019-09-23_final
2019-09-23 11:19:49	ga_ls8c_ard_3-1-0_110073_2019-09-23_final
2019-09-25 11:08:40	ga_ls8c_ard_3-1-0_108076_2019-09-25_final
2019-09-25 11:09:04	ga_ls8c_ard_3-1-0_108077_2019-09-25_final
2019-09-25 11:09:28	ga_ls8c_ard_3-1-0_108078_2019-09-25_final
2019-09-25 11:09:52	ga_ls8c_ard_3-1-0_108079_2019-09-25_final
2019-09-25 11:10:16	ga_ls8c_ard_3-1-0_108080_2019-09-25_final
2019-09-25 11:10:40	ga_ls8c_ard_3-1-0_108081_2019-09-25_final
2019-09-25 11:11:04	ga_ls8c_ard_3-1-0_108082_2019-09-25_final
2019-10-18 11:13:19	ga_ls8c_ard_3-1-0_109072_2019-10-18_final
2019-10-18 11:13:43	ga_ls8c_ard_3-1-0_109073_2019-10-18_final
2019-10-18 11:14:07	ga_ls8c_ard_3-1-0_109074_2019-10-18_final
2019-10-18 11:14:31	ga_ls8c_ard_3-1-0_109075_2019-10-18_final
2019-10-18 11:14:55	ga_ls8c_ard_3-1-0_109076_2019-10-18_final
2019-10-18 11:15:19	ga_ls8c_ard_3-1-0_109077_2019-10-18_final
2019-12-05 11:13:15	ga_ls8c_ard_3-1-0_109072_2019-12-05_final
2019-12-05 11:13:38	ga_ls8c_ard_3-1-0_109073_2019-12-05_final
2019-12-05 11:14:02	ga_ls8c_ard_3-1-0_109074_2019-12-05_final
2019-12-05 11:14:26	ga_ls8c_ard_3-1-0_109075_2019-12-05_final
2019-12-05 11:14:50	ga_ls8c_ard_3-1-0_109076_2019-12-05_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