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
2013-11-22 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
2013-11-27 09:27:53	ga_ls8c_ard_3-0-0_092068_2013-11-26_final
2014-03-12 09:23:49	ga_ls8c_ard_3-0-0_091076_2014-03-11_final
2014-03-12 09:24:13	ga_ls8c_ard_3-0-0_091077_2014-03-11_final
2014-03-12 09:24:37	ga_ls8c_ard_3-0-0_091078_2014-03-11_final
2014-03-14 09:13:26	ga_ls8c_ard_3-0-0_089081_2014-03-13_final
2014-03-14 09:13:50	ga_ls8c_ard_3-0-0_089082_2014-03-13_final
2014-03-14 09:14:14	ga_ls8c_ard_3-0-0_089083_2014-03-13_final
2014-03-14 09:14:38	ga_ls8c_ard_3-0-0_089084_2014-03-13_final
2014-03-14 09:15:02	ga_ls8c_ard_3-0-0_089085_2014-03-13_final
2014-03-14 09:15:26	ga_ls8c_ard_3-0-0_089086_2014-03-13_final
2014-03-30 09:13:09	ga_ls8c_ard_3-0-0_089081_2014-03-29_final
2014-03-30 09:13:33	ga_ls8c_ard_3-0-0_089082_2014-03-29_final
2014-03-30 09:13:57	ga_ls8c_ard_3-0-0_089083_2014-03-29_final
2014-03-30 09:14:20	ga_ls8c_ard_3-0-0_089084_2014-03-29_final
2014-03-30 09:14:44	ga_ls8c_ard_3-0-0_089085_2014-03-29_final
2014-03-30 09:15:08	ga_ls8c_ard_3-0-0_089086_2014-03-29_final
2015-04-23 09:25:13	ga_ls8c_ard_3-0-0_092067_2015-04-22_final
2015-04-23 09:25:37	ga_ls8c_ard_3-0-0_092068_2015-04-22_final
2015-04-23 09:26:49	ga_ls8c_ard_3-0-0_092071_2015-04-22_final
2015-04-23 09:27:13	ga_ls8c_ard_3-0-0_092072_2015-04-22_final
2015-04-23 09:27:36	ga_ls8c_ard_3-0-0_092073_2015-04-22_final
2015-06-10 09:25:06	ga_ls8c_ard_3-0-0_092067_2015-06-09_final
2015-06-10 09:25:30	ga_ls8c_ard_3-0-0_092068_2015-06-09_final
2015-10-02 09:17:31	ga_ls8c_ard_3-0-0_090077_2015-10-01_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
2015-10-07 09:32:04	ga_ls8c_ard_3-0-0_093067_2015-10-07_final
2015-10-07 09:32:28	ga_ls8c_ard_3-0-0_093068_2015-10-07_final
2015-10-09 09:22:06	ga_ls8c_ard_3-0-0_091073_2015-10-08_final
2015-10-09 09:24:06	ga_ls8c_ard_3-0-0_091078_2015-10-08_final
2015-10-11 09:12:56	ga_ls8c_ard_3-0-0_089081_2015-10-10_final
2015-10-11 09:13:20	ga_ls8c_ard_3-0-0_089082_2015-10-10_final
2015-10-11 09:13:44	ga_ls8c_ard_3-0-0_089083_2015-10-10_final
2015-10-11 09:14:07	ga_ls8c_ard_3-0-0_089084_2015-10-10_final
2015-10-11 09:14:31	ga_ls8c_ard_3-0-0_089085_2015-10-10_final
2015-10-11 09:14:55	ga_ls8c_ard_3-0-0_089086_2015-10-10_final
2015-11-01 09:26:23	ga_ls8c_ard_3-0-0_092068_2015-10-31_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
2016-05-18 09:31:37	ga_ls8c_ard_3-0-0_093067_2016-05-18_final
2016-05-18 09:32:01	ga_ls8c_ard_3-0-0_093068_2016-05-18_final
2016-06-19 09:31:46	ga_ls8c_ard_3-0-0_093067_2016-06-19_final
2016-06-19 09:32:10	ga_ls8c_ard_3-0-0_093068_2016-06-19_final
2016-06-21 09:21:26	ga_ls8c_ard_3-0-0_091072_2016-06-20_final
2016-06-21 09:21:50	ga_ls8c_ard_3-0-0_091073_2016-06-20_final
2016-06-21 09:22:14	ga_ls8c_ard_3-0-0_091074_2016-06-20_final
2016-06-21 09:22:38	ga_ls8c_ard_3-0-0_091075_2016-06-20_final
2016-06-21 09:23:01	ga_ls8c_ard_3-0-0_091076_2016-06-20_final
2016-06-21 09:23:25	ga_ls8c_ard_3-0-0_091077_2016-06-20_final
2016-06-21 09:23:49	ga_ls8c_ard_3-0-0_091078_2016-06-20_final
2016-08-15 09:26:20	ga_ls8c_ard_3-0-0_092068_2016-08-14_final
2016-08-15 09:27:31	ga_ls8c_ard_3-0-0_092071_2016-08-14_final
2016-08-15 09:27:55	ga_ls8c_ard_3-0-0_092072_2016-08-14_final
2016-08-15 09:28:19	ga_ls8c_ard_3-0-0_092073_2016-08-14_final
2016-08-17 09:17:35	ga_ls8c_ard_3-0-0_090077_2016-08-16_final
2016-08-17 09:17:59	ga_ls8c_ard_3-0-0_090078_2016-08-16_final
2016-08-17 09:18:22	ga_ls8c_ard_3-0-0_090079_2016-08-16_final
2016-08-17 09:18:46	ga_ls8c_ard_3-0-0_090080_2016-08-16_final
2016-08-17 09:19:10	ga_ls8c_ard_3-0-0_090081_2016-08-16_final
2016-08-17 09:19:34	ga_ls8c_ard_3-0-0_090082_2016-08-16_final
2016-09-07 09:32:16	ga_ls8c_ard_3-0-0_093067_2016-09-07_final
2016-09-07 09:32:39	ga_ls8c_ard_3-0-0_093068_2016-09-07_final
2016-09-09 09:21:54	ga_ls8c_ard_3-0-0_091072_2016-09-08_final
2016-09-09 09:22:18	ga_ls8c_ard_3-0-0_091073_2016-09-08_final
2016-09-09 09:22:42	ga_ls8c_ard_3-0-0_091074_2016-09-08_final
2016-09-09 09:23:06	ga_ls8c_ard_3-0-0_091075_2016-09-08_final
2016-09-09 09:23:30	ga_ls8c_ard_3-0-0_091076_2016-09-08_final
2016-09-09 09:23:54	ga_ls8c_ard_3-0-0_091077_2016-09-08_final
2016-09-09 09:24:18	ga_ls8c_ard_3-0-0_091078_2016-09-08_final
2016-09-16 09:26:30	ga_ls8c_ard_3-0-0_092068_2016-09-15_final
2016-09-16 09:27:42	ga_ls8c_ard_3-0-0_092071_2016-09-15_final
2016-09-16 09:28:06	ga_ls8c_ard_3-0-0_092072_2016-09-15_final
2016-09-16 09:28:30	ga_ls8c_ard_3-0-0_092073_2016-09-15_final
2016-09-18 09:17:44	ga_ls8c_ard_3-0-0_090077_2016-09-17_final
2016-09-18 09:18:08	ga_ls8c_ard_3-0-0_090078_2016-09-17_final
2016-09-18 09:18:32	ga_ls8c_ard_3-0-0_090079_2016-09-17_final
2016-09-18 09:18:56	ga_ls8c_ard_3-0-0_090080_2016-09-17_final
2016-09-18 09:19:20	ga_ls8c_ard_3-0-0_090081_2016-09-17_final
2016-09-18 09:19:44	ga_ls8c_ard_3-0-0_090082_2016-09-17_final
2016-09-25 09:21:55	ga_ls8c_ard_3-0-0_091072_2016-09-24_final
2016-09-25 09:22:19	ga_ls8c_ard_3-0-0_091073_2016-09-24_final
2016-09-25 09:22:43	ga_ls8c_ard_3-0-0_091074_2016-09-24_final
2016-09-25 09:23:07	ga_ls8c_ard_3-0-0_091075_2016-09-24_final
2016-09-25 09:23:31	ga_ls8c_ard_3-0-0_091076_2016-09-24_final
2016-09-25 09:23:55	ga_ls8c_ard_3-0-0_091077_2016-09-24_final
2016-09-25 09:24:19	ga_ls8c_ard_3-0-0_091078_2016-09-24_final
2016-09-27 09:13:09	ga_ls8c_ard_3-0-0_089081_2016-09-26_final
2016-09-27 09:13:33	ga_ls8c_ard_3-0-0_089082_2016-09-26_final
2016-09-27 09:13:57	ga_ls8c_ard_3-0-0_089083_2016-09-26_final
2016-09-27 09:14:21	ga_ls8c_ard_3-0-0_089084_2016-09-26_final
2016-09-27 09:14:44	ga_ls8c_ard_3-0-0_089085_2016-09-26_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