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
2013-11-18 09:33:43	ga_ls8c_ard_3-0-0_093067_2013-11-18_final
2013-11-18 09:34:07	ga_ls8c_ard_3-0-0_093068_2013-11-18_final
2013-11-20 09:25:42	ga_ls8c_ard_3-0-0_091078_2013-11-19_final
2013-11-20 09:26:06	ga_ls8c_ard_3-0-0_091079_2013-11-19_final
2013-11-22 09:14:54	ga_ls8c_ard_3-0-0_089082_2013-11-21_final
2013-11-22 09:15:18	ga_ls8c_ard_3-0-0_089083_2013-11-21_final
2013-11-22 09:15:42	ga_ls8c_ard_3-0-0_089084_2013-11-21_final
2014-02-22 09:32:49	ga_ls8c_ard_3-0-0_093067_2014-02-22_final
2014-02-24 09:24:01	ga_ls8c_ard_3-0-0_091076_2014-02-23_final
2014-02-24 09:24:25	ga_ls8c_ard_3-0-0_091077_2014-02-23_final
2014-02-24 09:24:49	ga_ls8c_ard_3-0-0_091078_2014-02-23_final
2014-02-24 09:25:13	ga_ls8c_ard_3-0-0_091079_2014-02-23_final
2014-02-26 09:14:01	ga_ls8c_ard_3-0-0_089082_2014-02-25_final
2014-02-26 09:14:25	ga_ls8c_ard_3-0-0_089083_2014-02-25_final
2014-02-26 09:14:49	ga_ls8c_ard_3-0-0_089084_2014-02-25_final
2014-02-26 09:15:13	ga_ls8c_ard_3-0-0_089085_2014-02-25_final
2014-02-26 09:15:37	ga_ls8c_ard_3-0-0_089086_2014-02-25_final
2014-03-03 09:29:38	ga_ls8c_ard_3-0-0_092075_2014-03-02_final
2014-04-29 09:23:03	ga_ls8c_ard_3-0-0_091076_2014-04-28_final
2014-04-29 09:23:27	ga_ls8c_ard_3-0-0_091077_2014-04-28_final
2014-04-29 09:23:51	ga_ls8c_ard_3-0-0_091078_2014-04-28_final
2014-05-24 09:17:24	ga_ls8c_ard_3-0-0_090078_2014-05-23_final
2014-05-24 09:17:47	ga_ls8c_ard_3-0-0_090079_2014-05-23_final
2014-05-24 09:18:11	ga_ls8c_ard_3-0-0_090080_2014-05-23_final
2014-05-24 09:18:35	ga_ls8c_ard_3-0-0_090081_2014-05-23_final
2014-05-24 09:18:59	ga_ls8c_ard_3-0-0_090082_2014-05-23_final
2014-05-24 09:19:23	ga_ls8c_ard_3-0-0_090083_2014-05-23_final
2014-06-16 09:22:11	ga_ls8c_ard_3-0-0_091074_2014-06-15_final
2014-06-16 09:22:35	ga_ls8c_ard_3-0-0_091075_2014-06-15_final
2014-06-16 09:22:59	ga_ls8c_ard_3-0-0_091076_2014-06-15_final
2014-06-16 09:23:23	ga_ls8c_ard_3-0-0_091077_2014-06-15_final
2014-06-16 09:23:47	ga_ls8c_ard_3-0-0_091078_2014-06-15_final
2014-06-16 09:24:11	ga_ls8c_ard_3-0-0_091079_2014-06-15_final
2014-06-18 09:13:02	ga_ls8c_ard_3-0-0_089082_2014-06-17_final
2014-06-18 09:13:25	ga_ls8c_ard_3-0-0_089083_2014-06-17_final
2014-06-18 09:13:49	ga_ls8c_ard_3-0-0_089084_2014-06-17_final
2014-06-18 09:14:13	ga_ls8c_ard_3-0-0_089085_2014-06-17_final
2014-06-18 09:14:37	ga_ls8c_ard_3-0-0_089086_2014-06-17_final
2015-07-03 09:31:28	ga_ls8c_ard_3-0-0_093067_2015-07-03_final
2015-07-03 09:31:52	ga_ls8c_ard_3-0-0_093068_2015-07-03_final
2015-07-14 09:17:26	ga_ls8c_ard_3-0-0_090078_2015-07-13_final
2015-07-14 09:17:50	ga_ls8c_ard_3-0-0_090079_2015-07-13_final
2015-07-14 09:18:14	ga_ls8c_ard_3-0-0_090080_2015-07-13_final
2015-07-14 09:18:38	ga_ls8c_ard_3-0-0_090081_2015-07-13_final
2015-07-14 09:19:02	ga_ls8c_ard_3-0-0_090082_2015-07-13_final
2015-07-14 09:19:26	ga_ls8c_ard_3-0-0_090083_2015-07-13_final
2015-07-30 09:17:31	ga_ls8c_ard_3-0-0_090078_2015-07-29_final
2015-07-30 09:17:55	ga_ls8c_ard_3-0-0_090079_2015-07-29_final
2015-07-30 09:18:19	ga_ls8c_ard_3-0-0_090080_2015-07-29_final
2015-07-30 09:18:42	ga_ls8c_ard_3-0-0_090081_2015-07-29_final
2015-07-30 09:19:06	ga_ls8c_ard_3-0-0_090082_2015-07-29_final
2015-07-30 09:19:30	ga_ls8c_ard_3-0-0_090083_2015-07-29_final
2015-10-02 09:17:55	ga_ls8c_ard_3-0-0_090078_2015-10-01_final
2015-10-02 09:18:19	ga_ls8c_ard_3-0-0_090079_2015-10-01_final
2015-10-02 09:18:43	ga_ls8c_ard_3-0-0_090080_2015-10-01_final
2015-10-02 09:19:07	ga_ls8c_ard_3-0-0_090081_2015-10-01_final
2015-10-02 09:19:31	ga_ls8c_ard_3-0-0_090082_2015-10-01_final
2015-10-02 09:19:55	ga_ls8c_ard_3-0-0_090083_2015-10-01_final
2015-11-01 09:27:58	ga_ls8c_ard_3-0-0_092072_2015-10-31_final
2015-11-01 09:28:22	ga_ls8c_ard_3-0-0_092073_2015-10-31_final
2015-11-01 09:28:46	ga_ls8c_ard_3-0-0_092074_2015-10-31_final
2016-07-25 09:13:19	ga_ls8c_ard_3-0-0_089082_2016-07-24_final
2016-07-25 09:13:43	ga_ls8c_ard_3-0-0_089083_2016-07-24_final
2016-07-25 09:14:06	ga_ls8c_ard_3-0-0_089084_2016-07-24_final
2016-07-25 09:14:30	ga_ls8c_ard_3-0-0_089085_2016-07-24_final
2016-07-25 09:14:54	ga_ls8c_ard_3-0-0_089086_2016-07-24_final
2016-07-25 09:15:18	ga_ls8c_ard_3-0-0_089087_2016-07-24_final
2016-08-08 09:22:31	ga_ls8c_ard_3-0-0_091074_2016-08-07_final
2016-08-08 09:22:54	ga_ls8c_ard_3-0-0_091075_2016-08-07_final
2016-08-08 09:23:18	ga_ls8c_ard_3-0-0_091076_2016-08-07_final
2016-08-08 09:23:42	ga_ls8c_ard_3-0-0_091077_2016-08-07_final
2016-08-08 09:24:06	ga_ls8c_ard_3-0-0_091078_2016-08-07_final
2016-08-08 09:24:30	ga_ls8c_ard_3-0-0_091079_2016-08-07_final
2016-08-10 09:13:21	ga_ls8c_ard_3-0-0_089082_2016-08-09_final
2016-08-10 09:13:44	ga_ls8c_ard_3-0-0_089083_2016-08-09_final
2016-08-10 09:14:08	ga_ls8c_ard_3-0-0_089084_2016-08-09_final
2016-08-10 09:14:32	ga_ls8c_ard_3-0-0_089085_2016-08-09_final
2016-08-10 09:14:56	ga_ls8c_ard_3-0-0_089086_2016-08-09_final
2016-08-10 09:15:20	ga_ls8c_ard_3-0-0_089087_2016-08-09_final
2016-10-04 09:18:09	ga_ls8c_ard_3-0-0_090078_2016-10-03_final
2016-10-04 09:18:33	ga_ls8c_ard_3-0-0_090079_2016-10-03_final
2016-10-04 09:18:57	ga_ls8c_ard_3-0-0_090080_2016-10-03_final
2016-10-04 09:19:21	ga_ls8c_ard_3-0-0_090081_2016-10-03_final
2016-10-04 09:19:45	ga_ls8c_ard_3-0-0_090082_2016-10-03_final
2016-10-04 09:20:09	ga_ls8c_ard_3-0-0_090083_2016-10-03_final
2019-07-14 09:31:59	ga_ls8c_ard_3-1-0_093067_2019-07-14_final
2019-07-14 09:32:23	ga_ls8c_ard_3-1-0_093068_2019-07-14_final
2019-08-15 09:32:11	ga_ls8c_ard_3-1-0_093067_2019-08-15_final
2019-08-15 09:32:35	ga_ls8c_ard_3-1-0_093068_2019-08-15_final
2019-08-31 09:32:15	ga_ls8c_ard_3-1-0_093067_2019-08-31_final
2019-08-31 09:32:39	ga_ls8c_ard_3-1-0_093068_2019-08-31_final
2019-10-18 09:32:27	ga_ls8c_ard_3-1-0_093067_2019-10-18_final
2019-10-18 09:32:50	ga_ls8c_ard_3-1-0_093068_2019-10-18_final
2019-11-21 09:22:48	ga_ls8c_ard_3-1-0_091074_2019-11-20_final
2019-11-21 09:23:12	ga_ls8c_ard_3-1-0_091075_2019-11-20_final
2019-11-21 09:23:36	ga_ls8c_ard_3-1-0_091076_2019-11-20_final
2019-11-21 09:24:00	ga_ls8c_ard_3-1-0_091077_2019-11-20_final
2019-11-21 09:24:24	ga_ls8c_ard_3-1-0_091078_2019-11-20_final
2019-11-21 09:24:48	ga_ls8c_ard_3-1-0_091079_2019-11-20_final
2019-12-05 09:32:22	ga_ls8c_ard_3-1-0_093067_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