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
2014-07-16 11:16:23	ga_ls8c_ard_3-0-0_109081_2014-07-16_final
2014-07-16 11:16:47	ga_ls8c_ard_3-0-0_109082_2014-07-16_final
2014-07-16 11:17:11	ga_ls8c_ard_3-0-0_109083_2014-07-16_final
2014-07-16 11:17:35	ga_ls8c_ard_3-0-0_109084_2014-07-16_final
2014-07-21 11:29:21	ga_ls8c_ard_3-0-0_112067_2014-07-21_final
2014-07-21 11:29:45	ga_ls8c_ard_3-0-0_112068_2014-07-21_final
2014-07-21 11:30:09	ga_ls8c_ard_3-0-0_112069_2014-07-21_final
2014-07-21 11:30:33	ga_ls8c_ard_3-0-0_112070_2014-07-21_final
2014-07-21 11:30:57	ga_ls8c_ard_3-0-0_112071_2014-07-21_final
2014-07-21 11:31:21	ga_ls8c_ard_3-0-0_112072_2014-07-21_final
2014-07-21 11:31:45	ga_ls8c_ard_3-0-0_112073_2014-07-21_final
2014-10-09 11:29:40	ga_ls8c_ard_3-0-0_112067_2014-10-09_final
2014-10-09 11:30:04	ga_ls8c_ard_3-0-0_112068_2014-10-09_final
2014-10-09 11:30:28	ga_ls8c_ard_3-0-0_112069_2014-10-09_final
2014-10-09 11:30:52	ga_ls8c_ard_3-0-0_112070_2014-10-09_final
2014-10-09 11:31:16	ga_ls8c_ard_3-0-0_112071_2014-10-09_final
2014-10-09 11:31:40	ga_ls8c_ard_3-0-0_112072_2014-10-09_final
2014-10-09 11:32:04	ga_ls8c_ard_3-0-0_112073_2014-10-09_final
2014-10-11 11:21:19	ga_ls8c_ard_3-0-0_110077_2014-10-11_final
2014-10-11 11:21:42	ga_ls8c_ard_3-0-0_110078_2014-10-11_final
2014-10-11 11:22:06	ga_ls8c_ard_3-0-0_110079_2014-10-11_final
2014-10-11 11:22:30	ga_ls8c_ard_3-0-0_110080_2014-10-11_final
2014-10-11 11:22:54	ga_ls8c_ard_3-0-0_110081_2014-10-11_final
2014-10-11 11:23:18	ga_ls8c_ard_3-0-0_110082_2014-10-11_final
2014-10-25 11:29:41	ga_ls8c_ard_3-0-0_112067_2014-10-25_final
2014-10-25 11:30:05	ga_ls8c_ard_3-0-0_112068_2014-10-25_final
2014-10-25 11:30:29	ga_ls8c_ard_3-0-0_112069_2014-10-25_final
2014-10-25 11:30:53	ga_ls8c_ard_3-0-0_112070_2014-10-25_final
2014-10-25 11:31:17	ga_ls8c_ard_3-0-0_112071_2014-10-25_final
2014-10-25 11:31:41	ga_ls8c_ard_3-0-0_112072_2014-10-25_final
2014-10-25 11:32:05	ga_ls8c_ard_3-0-0_112073_2014-10-25_final
2014-10-27 11:21:18	ga_ls8c_ard_3-0-0_110077_2014-10-27_final
2014-10-27 11:21:42	ga_ls8c_ard_3-0-0_110078_2014-10-27_final
2014-10-27 11:22:06	ga_ls8c_ard_3-0-0_110079_2014-10-27_final
2014-10-27 11:22:29	ga_ls8c_ard_3-0-0_110080_2014-10-27_final
2014-10-27 11:22:53	ga_ls8c_ard_3-0-0_110081_2014-10-27_final
2014-10-27 11:23:17	ga_ls8c_ard_3-0-0_110082_2014-10-27_final
2014-10-29 11:11:42	ga_ls8c_ard_3-0-0_108084_2014-10-29_final
2014-11-26 11:29:40	ga_ls8c_ard_3-0-0_112067_2014-11-26_final
2014-11-26 11:30:04	ga_ls8c_ard_3-0-0_112068_2014-11-26_final
2014-11-26 11:30:28	ga_ls8c_ard_3-0-0_112069_2014-11-26_final
2014-11-26 11:30:52	ga_ls8c_ard_3-0-0_112070_2014-11-26_final
2014-11-26 11:31:16	ga_ls8c_ard_3-0-0_112071_2014-11-26_final
2014-11-26 11:31:39	ga_ls8c_ard_3-0-0_112072_2014-11-26_final
2014-11-26 11:32:03	ga_ls8c_ard_3-0-0_112073_2014-11-26_final
2014-11-28 11:21:18	ga_ls8c_ard_3-0-0_110077_2014-11-28_final
2014-11-28 11:21:42	ga_ls8c_ard_3-0-0_110078_2014-11-28_final
2014-11-28 11:22:06	ga_ls8c_ard_3-0-0_110079_2014-11-28_final
2014-11-28 11:22:30	ga_ls8c_ard_3-0-0_110080_2014-11-28_final
2014-11-28 11:22:54	ga_ls8c_ard_3-0-0_110081_2014-11-28_final
2014-11-28 11:23:18	ga_ls8c_ard_3-0-0_110082_2014-11-28_final
2014-11-30 11:11:44	ga_ls8c_ard_3-0-0_108084_2014-11-30_final
2014-12-03 11:35:50	ga_ls8c_ard_3-0-0_113067_2014-12-03_final
2014-12-05 11:25:27	ga_ls8c_ard_3-0-0_111072_2014-12-05_final
2014-12-05 11:25:51	ga_ls8c_ard_3-0-0_111073_2014-12-05_final
2014-12-05 11:26:15	ga_ls8c_ard_3-0-0_111074_2014-12-05_final
2014-12-05 11:26:39	ga_ls8c_ard_3-0-0_111075_2014-12-05_final
2014-12-05 11:27:03	ga_ls8c_ard_3-0-0_111076_2014-12-05_final
2014-12-05 11:27:27	ga_ls8c_ard_3-0-0_111077_2014-12-05_final
2014-12-05 11:27:51	ga_ls8c_ard_3-0-0_111078_2014-12-05_final
2015-01-31 11:21:03	ga_ls8c_ard_3-0-0_110077_2015-01-31_final
2015-01-31 11:21:27	ga_ls8c_ard_3-0-0_110078_2015-01-31_final
2015-02-23 11:25:06	ga_ls8c_ard_3-0-0_111072_2015-02-23_final
2015-02-23 11:25:30	ga_ls8c_ard_3-0-0_111073_2015-02-23_final
2015-02-23 11:25:53	ga_ls8c_ard_3-0-0_111074_2015-02-23_final
2015-02-23 11:26:17	ga_ls8c_ard_3-0-0_111075_2015-02-23_final
2015-02-23 11:26:41	ga_ls8c_ard_3-0-0_111076_2015-02-23_final
2015-02-23 11:27:05	ga_ls8c_ard_3-0-0_111077_2015-02-23_final
2015-02-23 11:27:29	ga_ls8c_ard_3-0-0_111078_2015-02-23_final
2015-03-09 11:35:19	ga_ls8c_ard_3-0-0_113067_2015-03-09_final
2015-03-25 11:35:11	ga_ls8c_ard_3-0-0_113067_2015-03-25_final
2015-04-10 11:35:01	ga_ls8c_ard_3-0-0_113067_2015-04-10_final
2016-07-30 11:11:33	ga_ls8c_ard_3-0-0_108084_2016-07-30_final
2016-07-30 11:11:57	ga_ls8c_ard_3-0-0_108085_2016-07-30_final
2016-08-06 11:16:33	ga_ls8c_ard_3-0-0_109081_2016-08-06_final
2016-08-06 11:16:57	ga_ls8c_ard_3-0-0_109082_2016-08-06_final
2016-08-06 11:17:21	ga_ls8c_ard_3-0-0_109083_2016-08-06_final
2016-08-06 11:17:45	ga_ls8c_ard_3-0-0_109084_2016-08-06_final
2016-08-06 11:18:08	ga_ls8c_ard_3-0-0_109085_2016-08-06_final
2016-10-09 11:16:49	ga_ls8c_ard_3-0-0_109081_2016-10-09_final
2016-10-09 11:17:13	ga_ls8c_ard_3-0-0_109082_2016-10-09_final
2016-10-09 11:17:37	ga_ls8c_ard_3-0-0_109083_2016-10-09_final
2016-10-09 11:18:01	ga_ls8c_ard_3-0-0_109084_2016-10-09_final
2016-10-09 11:18:25	ga_ls8c_ard_3-0-0_109085_2016-10-09_final
2016-10-14 11:29:48	ga_ls8c_ard_3-0-0_112067_2016-10-14_final
2016-10-14 11:30:12	ga_ls8c_ard_3-0-0_112068_2016-10-14_final
2016-10-14 11:30:36	ga_ls8c_ard_3-0-0_112069_2016-10-14_final
2016-10-14 11:31:00	ga_ls8c_ard_3-0-0_112070_2016-10-14_final
2016-10-14 11:31:24	ga_ls8c_ard_3-0-0_112071_2016-10-14_final
2016-10-14 11:31:47	ga_ls8c_ard_3-0-0_112072_2016-10-14_final
2016-10-14 11:32:11	ga_ls8c_ard_3-0-0_112073_2016-10-14_final
2018-03-05 11:16:11	ga_ls8c_ard_3-0-0_109081_2018-03-05_final
2018-03-05 11:16:35	ga_ls8c_ard_3-0-0_109082_2018-03-05_final
2018-03-05 11:16:59	ga_ls8c_ard_3-0-0_109083_2018-03-05_final
2018-03-05 11:17:23	ga_ls8c_ard_3-0-0_109084_2018-03-05_final
2018-03-05 11:17:47	ga_ls8c_ard_3-0-0_109085_2018-03-05_final
2018-07-11 11:15:39	ga_ls8c_ard_3-0-0_109081_2018-07-11_final
2018-07-11 11:16:03	ga_ls8c_ard_3-0-0_109082_2018-07-11_final
2018-07-11 11:16:27	ga_ls8c_ard_3-0-0_109083_2018-07-11_final
2018-07-11 11:16:51	ga_ls8c_ard_3-0-0_109084_2018-07-11_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