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
2014-11-28 11:17:18	ga_ls8c_ard_3-0-0_110067_2014-11-28_final
2014-11-30 11:06:33	ga_ls8c_ard_3-0-0_108071_2014-11-30_final
2014-11-30 11:06:56	ga_ls8c_ard_3-0-0_108072_2014-11-30_final
2014-11-30 11:07:20	ga_ls8c_ard_3-0-0_108073_2014-11-30_final
2014-11-30 11:07:44	ga_ls8c_ard_3-0-0_108074_2014-11-30_final
2014-11-30 11:08:08	ga_ls8c_ard_3-0-0_108075_2014-11-30_final
2014-11-30 11:08:32	ga_ls8c_ard_3-0-0_108076_2014-11-30_final
2014-12-07 11:11:05	ga_ls8c_ard_3-0-0_109067_2014-12-07_final
2014-12-07 11:11:28	ga_ls8c_ard_3-0-0_109068_2014-12-07_final
2014-12-07 11:11:52	ga_ls8c_ard_3-0-0_109069_2014-12-07_final
2014-12-07 11:12:16	ga_ls8c_ard_3-0-0_109070_2014-12-07_final
2014-12-07 11:12:40	ga_ls8c_ard_3-0-0_109071_2014-12-07_final
2014-12-07 11:13:04	ga_ls8c_ard_3-0-0_109072_2014-12-07_final
2014-12-09 11:01:53	ga_ls8c_ard_3-0-0_107075_2014-12-09_final
2014-12-09 11:02:17	ga_ls8c_ard_3-0-0_107076_2014-12-09_final
2014-12-09 11:02:41	ga_ls8c_ard_3-0-0_107077_2014-12-09_final
2014-12-09 11:03:05	ga_ls8c_ard_3-0-0_107078_2014-12-09_final
2014-12-09 11:03:28	ga_ls8c_ard_3-0-0_107079_2014-12-09_final
2014-12-09 11:03:52	ga_ls8c_ard_3-0-0_107080_2014-12-09_final
2014-12-09 11:04:16	ga_ls8c_ard_3-0-0_107081_2014-12-09_final
2015-03-17 10:52:11	ga_ls8c_ard_3-0-0_105083_2015-03-17_final
2015-03-20 11:16:41	ga_ls8c_ard_3-0-0_110067_2015-03-20_final
2015-03-22 11:05:54	ga_ls8c_ard_3-0-0_108071_2015-03-22_final
2015-03-22 11:06:18	ga_ls8c_ard_3-0-0_108072_2015-03-22_final
2015-03-22 11:06:42	ga_ls8c_ard_3-0-0_108073_2015-03-22_final
2015-03-22 11:07:06	ga_ls8c_ard_3-0-0_108074_2015-03-22_final
2015-03-22 11:07:30	ga_ls8c_ard_3-0-0_108075_2015-03-22_final
2015-03-22 11:07:54	ga_ls8c_ard_3-0-0_108076_2015-03-22_final
2015-04-05 11:16:29	ga_ls8c_ard_3-0-0_110067_2015-04-05_final
2015-04-07 11:05:43	ga_ls8c_ard_3-0-0_108071_2015-04-07_final
2015-04-07 11:06:07	ga_ls8c_ard_3-0-0_108072_2015-04-07_final
2015-04-07 11:06:31	ga_ls8c_ard_3-0-0_108073_2015-04-07_final
2015-04-07 11:06:55	ga_ls8c_ard_3-0-0_108074_2015-04-07_final
2015-04-07 11:07:19	ga_ls8c_ard_3-0-0_108075_2015-04-07_final
2015-04-07 11:07:43	ga_ls8c_ard_3-0-0_108076_2015-04-07_final
2015-04-09 10:56:33	ga_ls8c_ard_3-0-0_106079_2015-04-09_final
2015-04-09 10:56:57	ga_ls8c_ard_3-0-0_106080_2015-04-09_final
2015-04-09 10:57:21	ga_ls8c_ard_3-0-0_106081_2015-04-09_final
2015-04-09 10:57:45	ga_ls8c_ard_3-0-0_106082_2015-04-09_final
2015-04-09 10:58:09	ga_ls8c_ard_3-0-0_106083_2015-04-09_final
2015-04-09 10:58:33	ga_ls8c_ard_3-0-0_106084_2015-04-09_final
2016-02-07 10:57:12	ga_ls8c_ard_3-0-0_106079_2016-02-07_final
2016-02-07 10:57:36	ga_ls8c_ard_3-0-0_106080_2016-02-07_final
2016-02-07 10:57:59	ga_ls8c_ard_3-0-0_106081_2016-02-07_final
2016-02-07 10:58:23	ga_ls8c_ard_3-0-0_106082_2016-02-07_final
2016-02-07 10:58:47	ga_ls8c_ard_3-0-0_106083_2016-02-07_final
2016-02-07 10:59:11	ga_ls8c_ard_3-0-0_106084_2016-02-07_final
2016-04-16 11:10:31	ga_ls8c_ard_3-0-0_109067_2016-04-16_final
2016-04-16 11:10:55	ga_ls8c_ard_3-0-0_109068_2016-04-16_final
2016-04-16 11:11:19	ga_ls8c_ard_3-0-0_109069_2016-04-16_final
2016-04-16 11:11:42	ga_ls8c_ard_3-0-0_109070_2016-04-16_final
2016-04-16 11:12:06	ga_ls8c_ard_3-0-0_109071_2016-04-16_final
2016-12-19 11:17:22	ga_ls8c_ard_3-0-0_110067_2016-12-19_final
2017-01-29 11:11:00	ga_ls8c_ard_3-0-0_109067_2017-01-29_final
2017-01-29 11:11:24	ga_ls8c_ard_3-0-0_109068_2017-01-29_final
2017-01-29 11:11:48	ga_ls8c_ard_3-0-0_109069_2017-01-29_final
2017-01-29 11:12:12	ga_ls8c_ard_3-0-0_109070_2017-01-29_final
2017-01-29 11:12:36	ga_ls8c_ard_3-0-0_109071_2017-01-29_final
2017-01-29 11:13:00	ga_ls8c_ard_3-0-0_109072_2017-01-29_final
2017-02-05 11:17:07	ga_ls8c_ard_3-0-0_110067_2017-02-05_final
2017-02-14 11:10:52	ga_ls8c_ard_3-0-0_109067_2017-02-14_final
2017-02-14 11:11:16	ga_ls8c_ard_3-0-0_109068_2017-02-14_final
2017-02-14 11:11:40	ga_ls8c_ard_3-0-0_109069_2017-02-14_final
2017-02-14 11:12:04	ga_ls8c_ard_3-0-0_109070_2017-02-14_final
2017-02-14 11:12:28	ga_ls8c_ard_3-0-0_109071_2017-02-14_final
2017-02-14 11:12:52	ga_ls8c_ard_3-0-0_109072_2017-02-14_final
2017-02-21 11:17:01	ga_ls8c_ard_3-0-0_110067_2017-02-21_final
2017-03-02 11:10:47	ga_ls8c_ard_3-0-0_109067_2017-03-02_final
2017-03-02 11:11:11	ga_ls8c_ard_3-0-0_109068_2017-03-02_final
2017-03-02 11:11:35	ga_ls8c_ard_3-0-0_109069_2017-03-02_final
2017-03-02 11:11:59	ga_ls8c_ard_3-0-0_109070_2017-03-02_final
2017-03-09 11:16:54	ga_ls8c_ard_3-0-0_110067_2017-03-09_final
2017-04-28 11:05:39	ga_ls8c_ard_3-0-0_108071_2017-04-28_final
2017-04-28 11:06:03	ga_ls8c_ard_3-0-0_108072_2017-04-28_final
2017-04-28 11:06:27	ga_ls8c_ard_3-0-0_108073_2017-04-28_final
2017-04-28 11:06:51	ga_ls8c_ard_3-1-0_108074_2017-04-28_final
2017-04-28 11:07:15	ga_ls8c_ard_3-0-0_108075_2017-04-28_final
2017-04-28 11:07:39	ga_ls8c_ard_3-0-0_108076_2017-04-28_final
2017-05-14 11:05:46	ga_ls8c_ard_3-0-0_108071_2017-05-14_final
2017-05-14 11:06:10	ga_ls8c_ard_3-0-0_108072_2017-05-14_final
2017-05-14 11:06:34	ga_ls8c_ard_3-0-0_108073_2017-05-14_final
2017-05-14 11:06:58	ga_ls8c_ard_3-1-0_108074_2017-05-14_final
2017-05-14 11:07:22	ga_ls8c_ard_3-0-0_108075_2017-05-14_final
2017-05-14 11:07:46	ga_ls8c_ard_3-0-0_108076_2017-05-14_final
2017-05-16 10:56:37	ga_ls8c_ard_3-0-0_106079_2017-05-16_final
2017-05-16 10:57:01	ga_ls8c_ard_3-0-0_106080_2017-05-16_final
2017-05-16 10:57:25	ga_ls8c_ard_3-0-0_106081_2017-05-16_final
2017-05-16 10:57:49	ga_ls8c_ard_3-0-0_106082_2017-05-16_final
2017-05-16 10:58:13	ga_ls8c_ard_3-0-0_106083_2017-05-16_final
2017-05-16 10:58:37	ga_ls8c_ard_3-0-0_106084_2017-05-16_final
2017-06-01 10:56:47	ga_ls8c_ard_3-0-0_106079_2017-06-01_final
2017-06-01 10:57:11	ga_ls8c_ard_3-0-0_106080_2017-06-01_final
2017-06-01 10:57:35	ga_ls8c_ard_3-0-0_106081_2017-06-01_final
2017-06-01 10:57:59	ga_ls8c_ard_3-0-0_106082_2017-06-01_final
2017-06-01 10:58:23	ga_ls8c_ard_3-0-0_106083_2017-06-01_final
2017-06-01 10:58:47	ga_ls8c_ard_3-0-0_106084_2017-06-01_final
2018-09-17 10:52:13	ga_ls8c_ard_3-0-0_105083_2018-09-17_final
2018-10-06 11:16:53	ga_ls8c_ard_3-0-0_110067_2018-10-06_final
2018-12-25 11:16:59	ga_ls8c_ard_3-0-0_110067_2018-12-25_final
2019-01-07 10:52:27	ga_ls8c_ard_3-0-0_105083_2019-01-07_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years