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
2013-04-03 09:53:00	ga_ls8c_ard_3-0-0_095084_2013-04-03_final
2013-04-22 09:52:35	ga_ls8c_ard_3-0-0_095083_2013-04-22_final
2013-06-09 09:53:13	ga_ls8c_ard_3-0-0_095084_2013-06-09_final
2013-09-29 09:52:40	ga_ls8c_ard_3-0-0_095083_2013-09-29_final
2013-10-31 09:52:55	ga_ls8c_ard_3-0-0_095084_2013-10-31_final
2013-12-02 09:52:49	ga_ls8c_ard_3-0-0_095084_2013-12-02_final
2013-12-18 09:52:41	ga_ls8c_ard_3-0-0_095084_2013-12-18_final
2014-03-08 09:51:45	ga_ls8c_ard_3-0-0_095084_2014-03-08_final
2014-03-24 09:51:32	ga_ls8c_ard_3-0-0_095084_2014-03-24_final
2014-04-09 09:51:18	ga_ls8c_ard_3-0-0_095084_2014-04-09_final
2014-05-11 09:50:47	ga_ls8c_ard_3-0-0_095084_2014-05-11_final
2014-05-27 09:50:20	ga_ls8c_ard_3-0-0_095083_2014-05-27_final
2014-06-12 09:50:29	ga_ls8c_ard_3-0-0_095083_2014-06-12_final
2014-11-03 09:51:23	ga_ls8c_ard_3-0-0_095084_2014-11-03_final
2014-12-05 09:50:58	ga_ls8c_ard_3-0-0_095083_2014-12-05_final
2014-12-21 09:49:19	ga_ls8c_ard_3-0-0_095079_2014-12-21_final
2014-12-21 09:50:55	ga_ls8c_ard_3-0-0_095083_2014-12-21_final
2015-02-23 09:50:36	ga_ls8c_ard_3-0-0_095083_2015-02-23_final
2015-03-27 09:48:42	ga_ls8c_ard_3-0-0_095079_2015-03-27_final
2015-04-28 09:48:29	ga_ls8c_ard_3-0-0_095079_2015-04-28_final
2015-06-15 09:48:29	ga_ls8c_ard_3-0-0_095079_2015-06-15_final
2015-07-01 09:50:11	ga_ls8c_ard_3-0-0_095083_2015-07-01_final
2015-08-02 09:50:49	ga_ls8c_ard_3-0-0_095084_2015-08-02_final
2015-09-19 09:50:45	ga_ls8c_ard_3-0-0_095083_2015-09-19_final
2015-10-21 09:51:15	ga_ls8c_ard_3-0-0_095084_2015-10-21_final
2015-11-22 09:51:20	ga_ls8c_ard_3-0-0_095084_2015-11-22_final
2015-12-08 09:51:19	ga_ls8c_ard_3-0-0_095084_2015-12-08_final
2016-01-09 09:51:15	ga_ls8c_ard_3-0-0_095084_2016-01-09_final
2016-01-25 09:51:16	ga_ls8c_ard_3-0-0_095084_2016-01-25_final
2016-02-10 09:51:11	ga_ls8c_ard_3-0-0_095084_2016-02-10_final
2016-03-13 09:51:02	ga_ls8c_ard_3-0-0_095084_2016-03-13_final
2016-03-29 09:50:53	ga_ls8c_ard_3-0-0_095084_2016-03-29_final
2016-04-14 09:50:23	ga_ls8c_ard_3-0-0_095083_2016-04-14_final
2016-07-19 09:50:46	ga_ls8c_ard_3-0-0_095083_2016-07-19_final
2016-08-20 09:50:54	ga_ls8c_ard_3-0-0_095083_2016-08-20_final
2016-09-05 09:51:00	ga_ls8c_ard_3-0-0_095083_2016-09-05_final
2016-09-21 09:49:26	ga_ls8c_ard_3-0-0_095079_2016-09-21_final
2016-10-07 09:49:29	ga_ls8c_ard_3-0-0_095079_2016-10-07_final
2016-10-07 09:51:05	ga_ls8c_ard_3-0-0_095083_2016-10-07_final
2016-10-23 09:49:33	ga_ls8c_ard_3-0-0_095079_2016-10-23_final
2016-11-08 09:49:32	ga_ls8c_ard_3-0-0_095079_2016-11-08_final
2016-11-08 09:51:31	ga_ls8c_ard_3-0-0_095084_2016-11-08_final
2016-11-24 09:49:32	ga_ls8c_ard_3-0-0_095079_2016-11-24_final
2016-12-10 09:49:30	ga_ls8c_ard_3-0-0_095079_2016-12-10_final
2016-12-10 09:51:29	ga_ls8c_ard_3-0-0_095084_2016-12-10_final
2016-12-26 09:49:26	ga_ls8c_ard_3-0-0_095079_2016-12-26_final
2017-01-11 09:49:22	ga_ls8c_ard_3-0-0_095079_2017-01-11_final
2017-01-11 09:50:58	ga_ls8c_ard_3-0-0_095083_2017-01-11_final
2017-02-12 09:49:09	ga_ls8c_ard_3-0-0_095079_2017-02-12_final
2017-02-28 09:49:04	ga_ls8c_ard_3-0-0_095079_2017-02-28_final
2017-02-28 09:50:39	ga_ls8c_ard_3-0-0_095083_2017-02-28_final
2017-04-01 09:48:46	ga_ls8c_ard_3-0-0_095079_2017-04-01_final
2017-05-03 09:48:28	ga_ls8c_ard_3-0-0_095079_2017-05-03_final
2017-05-03 09:50:04	ga_ls8c_ard_3-0-0_095083_2017-05-03_final
2017-05-19 09:48:40	ga_ls8c_ard_3-0-0_095079_2017-05-19_final
2017-06-04 09:48:49	ga_ls8c_ard_3-0-0_095079_2017-06-04_final
2017-06-20 09:48:56	ga_ls8c_ard_3-0-0_095079_2017-06-20_final
2017-07-22 09:49:05	ga_ls8c_ard_3-0-0_095079_2017-07-22_final
2017-08-07 09:49:12	ga_ls8c_ard_3-0-0_095079_2017-08-07_final
2017-08-07 09:51:12	ga_ls8c_ard_3-0-0_095084_2017-08-07_final
2017-08-23 09:49:17	ga_ls8c_ard_3-0-0_095079_2017-08-23_final
2017-08-23 09:51:16	ga_ls8c_ard_3-0-0_095084_2017-08-23_final
2017-09-08 09:49:18	ga_ls8c_ard_3-0-0_095079_2017-09-08_final
2017-09-08 09:51:18	ga_ls8c_ard_3-0-0_095084_2017-09-08_final
2017-09-24 09:49:23	ga_ls8c_ard_3-0-0_095079_2017-09-24_final
2017-09-24 09:51:23	ga_ls8c_ard_3-0-0_095084_2017-09-24_final
2017-10-10 09:49:28	ga_ls8c_ard_3-0-0_095079_2017-10-10_final
2017-10-10 09:51:04	ga_ls8c_ard_3-0-0_095083_2017-10-10_final
2017-11-11 09:49:28	ga_ls8c_ard_3-0-0_095079_2017-11-11_final
2017-11-11 09:51:04	ga_ls8c_ard_3-0-0_095083_2017-11-11_final
2017-11-27 09:49:22	ga_ls8c_ard_3-0-0_095079_2017-11-27_final
2017-12-13 09:49:21	ga_ls8c_ard_3-0-0_095079_2017-12-13_final
2018-01-14 09:49:15	ga_ls8c_ard_3-0-0_095079_2018-01-14_final
2018-01-30 09:49:06	ga_ls8c_ard_3-0-0_095079_2018-01-30_final
2018-01-30 09:51:06	ga_ls8c_ard_3-0-0_095084_2018-01-30_final
2018-03-03 09:48:53	ga_ls8c_ard_3-0-0_095079_2018-03-03_final
2018-03-03 09:50:53	ga_ls8c_ard_3-0-0_095084_2018-03-03_final
2018-03-19 09:50:44	ga_ls8c_ard_3-0-0_095084_2018-03-19_final
2018-04-04 09:48:37	ga_ls8c_ard_3-0-0_095079_2018-04-04_final
2018-04-20 09:50:03	ga_ls8c_ard_3-0-0_095083_2018-04-20_final
2018-05-06 09:48:19	ga_ls8c_ard_3-0-0_095079_2018-05-06_final
2018-05-22 09:48:07	ga_ls8c_ard_3-0-0_095079_2018-05-22_final
2018-06-07 09:47:59	ga_ls8c_ard_3-0-0_095079_2018-06-07_final
2018-06-07 09:49:35	ga_ls8c_ard_3-0-0_095083_2018-06-07_final
2018-06-23 09:48:10	ga_ls8c_ard_3-0-0_095079_2018-06-23_final
2018-06-23 09:49:46	ga_ls8c_ard_3-0-0_095083_2018-06-23_final
2018-07-09 09:49:55	ga_ls8c_ard_3-0-0_095083_2018-07-09_final
2018-07-25 09:50:25	ga_ls8c_ard_3-0-0_095084_2018-07-25_final
2018-08-10 09:48:35	ga_ls8c_ard_3-0-0_095079_2018-08-10_final
2018-08-10 09:50:35	ga_ls8c_ard_3-0-0_095084_2018-08-10_final
2018-09-11 09:48:48	ga_ls8c_ard_3-0-0_095079_2018-09-11_final
2018-09-27 09:48:54	ga_ls8c_ard_3-0-0_095079_2018-09-27_final
2018-10-13 09:49:01	ga_ls8c_ard_3-0-0_095079_2018-10-13_final
2018-10-13 09:51:01	ga_ls8c_ard_3-0-0_095084_2018-10-13_final
2018-10-29 09:49:06	ga_ls8c_ard_3-0-0_095079_2018-10-29_final
2018-11-14 09:49:08	ga_ls8c_ard_3-0-0_095079_2018-11-14_final
2018-11-14 09:51:08	ga_ls8c_ard_3-0-0_095084_2018-11-14_final
2018-11-30 09:49:07	ga_ls8c_ard_3-0-0_095079_2018-11-30_final
2018-11-30 09:51:07	ga_ls8c_ard_3-0-0_095084_2018-11-30_final
2018-12-16 09:49:04	ga_ls8c_ard_3-0-0_095079_2018-12-16_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