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
2014-03-06 11:36:13	ga_ls8c_ard_3-0-0_113067_2014-03-06_final
2014-03-15 11:29:59	ga_ls8c_ard_3-0-0_112067_2014-03-15_final
2014-03-15 11:31:59	ga_ls8c_ard_3-0-0_112072_2014-03-15_final
2014-03-15 11:32:22	ga_ls8c_ard_3-0-0_112073_2014-03-15_final
2014-04-07 11:35:48	ga_ls8c_ard_3-0-0_113067_2014-04-07_final
2014-05-09 11:35:16	ga_ls8c_ard_3-0-0_113067_2014-05-09_final
2014-10-02 11:25:27	ga_ls8c_ard_3-0-0_111072_2014-10-02_final
2014-10-02 11:25:51	ga_ls8c_ard_3-0-0_111073_2014-10-02_final
2014-10-02 11:26:15	ga_ls8c_ard_3-0-0_111074_2014-10-02_final
2014-10-02 11:26:39	ga_ls8c_ard_3-0-0_111075_2014-10-02_final
2014-10-02 11:27:03	ga_ls8c_ard_3-0-0_111076_2014-10-02_final
2014-10-02 11:27:27	ga_ls8c_ard_3-0-0_111077_2014-10-02_final
2014-10-02 11:27:51	ga_ls8c_ard_3-0-0_111078_2014-10-02_final
2014-10-04 11:16:42	ga_ls8c_ard_3-0-0_109081_2014-10-04_final
2014-10-04 11:17:06	ga_ls8c_ard_3-0-0_109082_2014-10-04_final
2014-10-04 11:17:30	ga_ls8c_ard_3-0-0_109083_2014-10-04_final
2014-10-04 11:17:54	ga_ls8c_ard_3-0-0_109084_2014-10-04_final
2016-11-26 11:16:51	ga_ls8c_ard_3-0-0_109081_2016-11-26_final
2016-11-26 11:17:15	ga_ls8c_ard_3-0-0_109082_2016-11-26_final
2016-11-26 11:17:39	ga_ls8c_ard_3-0-0_109083_2016-11-26_final
2016-11-26 11:18:03	ga_ls8c_ard_3-0-0_109084_2016-11-26_final
2016-11-26 11:18:27	ga_ls8c_ard_3-0-0_109085_2016-11-26_final
2016-12-10 11:25:35	ga_ls8c_ard_3-0-0_111072_2016-12-10_final
2016-12-10 11:25:59	ga_ls8c_ard_3-0-0_111073_2016-12-10_final
2016-12-10 11:26:23	ga_ls8c_ard_3-0-0_111074_2016-12-10_final
2016-12-10 11:26:47	ga_ls8c_ard_3-0-0_111075_2016-12-10_final
2016-12-10 11:27:11	ga_ls8c_ard_3-0-0_111076_2016-12-10_final
2016-12-10 11:27:35	ga_ls8c_ard_3-0-0_111077_2016-12-10_final
2016-12-10 11:27:59	ga_ls8c_ard_3-0-0_111078_2016-12-10_final
2016-12-17 11:29:44	ga_ls8c_ard_3-0-0_112067_2016-12-17_final
2016-12-17 11:30:08	ga_ls8c_ard_3-0-0_112068_2016-12-17_final
2016-12-17 11:30:32	ga_ls8c_ard_3-0-0_112069_2016-12-17_final
2016-12-17 11:30:56	ga_ls8c_ard_3-0-0_112070_2016-12-17_final
2016-12-17 11:31:20	ga_ls8c_ard_3-0-0_112071_2016-12-17_final
2016-12-17 11:31:44	ga_ls8c_ard_3-0-0_112072_2016-12-17_final
2016-12-17 11:32:08	ga_ls8c_ard_3-0-0_112073_2016-12-17_final
2016-12-19 11:21:21	ga_ls8c_ard_3-0-0_110077_2016-12-19_final
2016-12-19 11:21:45	ga_ls8c_ard_3-0-0_110078_2016-12-19_final
2016-12-19 11:22:09	ga_ls8c_ard_3-0-0_110079_2016-12-19_final
2016-12-19 11:22:33	ga_ls8c_ard_3-0-0_110080_2016-12-19_final
2016-12-19 11:22:57	ga_ls8c_ard_3-0-0_110081_2016-12-19_final
2016-12-19 11:23:21	ga_ls8c_ard_3-0-0_110082_2016-12-19_final
2016-12-26 11:25:31	ga_ls8c_ard_3-0-0_111072_2016-12-26_final
2016-12-26 11:25:55	ga_ls8c_ard_3-0-0_111073_2016-12-26_final
2016-12-26 11:26:19	ga_ls8c_ard_3-0-0_111074_2016-12-26_final
2016-12-26 11:26:43	ga_ls8c_ard_3-0-0_111075_2016-12-26_final
2016-12-26 11:27:07	ga_ls8c_ard_3-0-0_111076_2016-12-26_final
2016-12-26 11:27:31	ga_ls8c_ard_3-0-0_111077_2016-12-26_final
2016-12-26 11:27:55	ga_ls8c_ard_3-0-0_111078_2016-12-26_final
2017-02-03 11:29:30	ga_ls8c_ard_3-0-0_112067_2017-02-03_final
2017-02-03 11:29:54	ga_ls8c_ard_3-0-0_112068_2017-02-03_final
2017-02-03 11:30:18	ga_ls8c_ard_3-0-0_112069_2017-02-03_final
2017-02-03 11:30:42	ga_ls8c_ard_3-0-0_112070_2017-02-03_final
2017-02-03 11:31:06	ga_ls8c_ard_3-0-0_112071_2017-02-03_final
2017-02-03 11:31:30	ga_ls8c_ard_3-0-0_112072_2017-02-03_final
2017-02-03 11:31:53	ga_ls8c_ard_3-0-0_112073_2017-02-03_final
2017-02-05 11:21:06	ga_ls8c_ard_3-0-0_110077_2017-02-05_final
2017-02-05 11:21:30	ga_ls8c_ard_3-0-0_110078_2017-02-05_final
2017-02-05 11:21:54	ga_ls8c_ard_3-0-0_110079_2017-02-05_final
2017-02-05 11:22:18	ga_ls8c_ard_3-0-0_110080_2017-02-05_final
2017-02-05 11:22:42	ga_ls8c_ard_3-0-0_110081_2017-02-05_final
2017-02-05 11:23:06	ga_ls8c_ard_3-0-0_110082_2017-02-05_final
2017-03-07 11:29:17	ga_ls8c_ard_3-0-0_112067_2017-03-07_final
2017-03-07 11:29:41	ga_ls8c_ard_3-0-0_112068_2017-03-07_final
2017-03-07 11:30:05	ga_ls8c_ard_3-0-0_112069_2017-03-07_final
2017-03-07 11:30:28	ga_ls8c_ard_3-0-0_112070_2017-03-07_final
2017-03-07 11:30:52	ga_ls8c_ard_3-0-0_112071_2017-03-07_final
2017-03-07 11:31:16	ga_ls8c_ard_3-0-0_112072_2017-03-07_final
2017-03-07 11:31:40	ga_ls8c_ard_3-0-0_112073_2017-03-07_final
2017-03-09 11:20:53	ga_ls8c_ard_3-0-0_110077_2017-03-09_final
2017-03-09 11:21:17	ga_ls8c_ard_3-0-0_110078_2017-03-09_final
2017-03-09 11:21:41	ga_ls8c_ard_3-0-0_110079_2017-03-09_final
2017-03-09 11:22:05	ga_ls8c_ard_3-0-0_110080_2017-03-09_final
2017-03-09 11:22:29	ga_ls8c_ard_3-0-0_110081_2017-03-09_final
2017-03-09 11:22:53	ga_ls8c_ard_3-0-0_110082_2017-03-09_final
2017-04-01 11:24:52	ga_ls8c_ard_3-0-0_111072_2017-04-01_final
2017-04-01 11:25:16	ga_ls8c_ard_3-0-0_111073_2017-04-01_final
2017-04-01 11:25:40	ga_ls8c_ard_3-0-0_111074_2017-04-01_final
2017-04-01 11:26:04	ga_ls8c_ard_3-0-0_111075_2017-04-01_final
2017-04-01 11:26:28	ga_ls8c_ard_3-0-0_111076_2017-04-01_final
2017-04-01 11:26:51	ga_ls8c_ard_3-0-0_111077_2017-04-01_final
2017-04-01 11:27:15	ga_ls8c_ard_3-0-0_111078_2017-04-01_final
2017-04-17 11:24:43	ga_ls8c_ard_3-0-0_111072_2017-04-17_final
2017-04-17 11:25:07	ga_ls8c_ard_3-0-0_111073_2017-04-17_final
2017-04-17 11:25:31	ga_ls8c_ard_3-0-0_111074_2017-04-17_final
2017-04-17 11:25:55	ga_ls8c_ard_3-0-0_111075_2017-04-17_final
2017-04-17 11:26:19	ga_ls8c_ard_3-0-0_111076_2017-04-17_final
2017-04-17 11:26:43	ga_ls8c_ard_3-0-0_111077_2017-04-17_final
2017-04-19 11:15:56	ga_ls8c_ard_3-0-0_109081_2017-04-19_final
2017-04-19 11:16:20	ga_ls8c_ard_3-0-0_109082_2017-04-19_final
2017-04-19 11:16:44	ga_ls8c_ard_3-0-0_109083_2017-04-19_final
2017-04-19 11:17:08	ga_ls8c_ard_3-0-0_109084_2017-04-19_final
2017-04-19 11:17:32	ga_ls8c_ard_3-0-0_109085_2017-04-19_final
2017-06-18 11:35:22	ga_ls8c_ard_3-0-0_113067_2017-06-18_final
2017-07-06 11:25:05	ga_ls8c_ard_3-0-0_111072_2017-07-06_final
2017-07-06 11:25:29	ga_ls8c_ard_3-0-0_111073_2017-07-06_final
2017-07-06 11:25:53	ga_ls8c_ard_3-0-0_111074_2017-07-06_final
2017-07-06 11:26:17	ga_ls8c_ard_3-0-0_111075_2017-07-06_final
2017-07-06 11:26:41	ga_ls8c_ard_3-0-0_111076_2017-07-06_final
2017-07-06 11:27:04	ga_ls8c_ard_3-0-0_111077_2017-07-06_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