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
2013-06-05 11:54:03	ga_ls8c_ard_3-0-0_115077_2013-06-05_final
2013-07-23 11:53:58	ga_ls8c_ard_3-0-0_115077_2013-07-23_final
2013-08-24 11:54:03	ga_ls8c_ard_3-0-0_115077_2013-08-24_final
2013-09-09 11:54:01	ga_ls8c_ard_3-0-0_115077_2013-09-09_final
2013-10-11 11:53:53	ga_ls8c_ard_3-0-0_115077_2013-10-11_final
2013-10-27 11:53:44	ga_ls8c_ard_3-0-0_115077_2013-10-27_final
2013-12-14 11:53:34	ga_ls8c_ard_3-0-0_115077_2013-12-14_final
2014-01-31 11:53:05	ga_ls8c_ard_3-0-0_115077_2014-01-31_final
2014-03-20 11:52:26	ga_ls8c_ard_3-0-0_115077_2014-03-20_final
2014-07-26 11:51:54	ga_ls8c_ard_3-0-0_115077_2014-07-26_final
2014-09-12 11:52:09	ga_ls8c_ard_3-0-0_115077_2014-09-12_final
2014-10-14 11:52:14	ga_ls8c_ard_3-0-0_115077_2014-10-14_final
2014-11-15 11:52:13	ga_ls8c_ard_3-0-0_115077_2014-11-15_final
2014-12-01 11:52:12	ga_ls8c_ard_3-0-0_115077_2014-12-01_final
2014-12-17 11:52:07	ga_ls8c_ard_3-0-0_115077_2014-12-17_final
2015-05-26 11:51:04	ga_ls8c_ard_3-0-0_115077_2015-05-26_final
2015-07-29 11:51:37	ga_ls8c_ard_3-0-0_115077_2015-07-29_final
2015-08-14 11:51:42	ga_ls8c_ard_3-0-0_115077_2015-08-14_final
2015-08-30 11:51:48	ga_ls8c_ard_3-0-0_115077_2015-08-30_final
2015-10-01 11:52:01	ga_ls8c_ard_3-0-0_115077_2015-10-01_final
2015-10-17 11:52:01	ga_ls8c_ard_3-0-0_115077_2015-10-17_final
2016-01-21 11:52:05	ga_ls8c_ard_3-0-0_115077_2016-01-21_final
2016-03-09 11:51:52	ga_ls8c_ard_3-0-0_115077_2016-03-09_final
2016-04-26 11:51:32	ga_ls8c_ard_3-0-0_115077_2016-04-26_final
2016-07-15 11:51:57	ga_ls8c_ard_3-0-0_115077_2016-07-15_final
2016-07-31 11:52:01	ga_ls8c_ard_3-0-0_115077_2016-07-31_final
2016-09-01 11:52:11	ga_ls8c_ard_3-0-0_115077_2016-09-01_final
2016-10-03 11:52:16	ga_ls8c_ard_3-0-0_115077_2016-10-03_final
2016-10-19 11:52:21	ga_ls8c_ard_3-0-0_115077_2016-10-19_final
2016-11-04 11:52:21	ga_ls8c_ard_3-0-0_115077_2016-11-04_final
2016-11-20 11:52:21	ga_ls8c_ard_3-0-0_115077_2016-11-20_final
2017-01-07 11:52:12	ga_ls8c_ard_3-0-0_115077_2017-01-07_final
2017-01-18 11:32:48	ga_ls8c_ard_3-0-0_112075_2017-01-18_final
2017-03-07 11:32:28	ga_ls8c_ard_3-0-0_112075_2017-03-07_final
2017-04-13 11:51:29	ga_ls8c_ard_3-0-0_115077_2017-04-13_final
2017-05-15 11:51:26	ga_ls8c_ard_3-0-0_115077_2017-05-15_final
2017-05-31 11:51:36	ga_ls8c_ard_3-0-0_115077_2017-05-31_final
2017-06-02 11:40:03	ga_ls8c_ard_3-0-0_113079_2017-06-02_final
2017-06-16 11:51:43	ga_ls8c_ard_3-0-0_115077_2017-06-16_final
2017-07-02 11:51:47	ga_ls8c_ard_3-0-0_115077_2017-07-02_final
2017-08-19 11:52:04	ga_ls8c_ard_3-0-0_115077_2017-08-19_final
2017-09-20 11:52:09	ga_ls8c_ard_3-0-0_115077_2017-09-20_final
2017-10-06 11:52:16	ga_ls8c_ard_3-0-0_115077_2017-10-06_final
2018-01-21 11:32:40	ga_ls8c_ard_3-0-0_112075_2018-01-21_final
2018-02-22 11:32:25	ga_ls8c_ard_3-0-0_112075_2018-02-22_final
2018-03-10 11:32:17	ga_ls8c_ard_3-0-0_112075_2018-03-10_final
2018-03-26 11:32:09	ga_ls8c_ard_3-0-0_112075_2018-03-26_final
2018-04-16 11:51:18	ga_ls8c_ard_3-0-0_115077_2018-04-16_final
2018-04-27 11:31:52	ga_ls8c_ard_3-0-0_112075_2018-04-27_final
2018-05-29 11:31:30	ga_ls8c_ard_3-0-0_112075_2018-05-29_final
2018-06-03 11:50:47	ga_ls8c_ard_3-0-0_115077_2018-06-03_final
2018-06-14 11:31:33	ga_ls8c_ard_3-0-0_112075_2018-06-14_final
2018-06-30 11:31:43	ga_ls8c_ard_3-0-0_112075_2018-06-30_final
2018-07-05 11:51:06	ga_ls8c_ard_3-0-0_115077_2018-07-05_final
2018-07-21 11:51:13	ga_ls8c_ard_3-0-0_115077_2018-07-21_final
2018-08-01 11:31:58	ga_ls8c_ard_3-0-0_112075_2018-08-01_final
2018-08-17 11:32:07	ga_ls8c_ard_3-0-0_112075_2018-08-17_final
2018-08-22 11:51:29	ga_ls8c_ard_3-0-0_115077_2018-08-22_final
2018-09-02 11:32:13	ga_ls8c_ard_3-0-0_112075_2018-09-02_final
2018-09-18 11:32:18	ga_ls8c_ard_3-0-0_112075_2018-09-18_final
2018-10-04 11:32:26	ga_ls8c_ard_3-0-0_112075_2018-10-04_final
2018-10-20 11:32:32	ga_ls8c_ard_3-0-0_112075_2018-10-20_final
2018-10-25 11:51:54	ga_ls8c_ard_3-0-0_115077_2018-10-25_final
2018-11-05 11:32:35	ga_ls8c_ard_3-0-0_112075_2018-11-05_final
2018-11-21 11:32:36	ga_ls8c_ard_3-0-0_112075_2018-11-21_final
2018-11-26 11:51:56	ga_ls8c_ard_3-0-0_115077_2018-11-26_final
2018-12-07 11:32:34	ga_ls8c_ard_3-0-0_112075_2018-12-07_final
2018-12-23 11:32:32	ga_ls8c_ard_3-0-0_112075_2018-12-23_final
2018-12-28 11:51:53	ga_ls8c_ard_3-0-0_115077_2018-12-28_final
2019-01-04 11:58:03	ga_ls8c_ard_3-0-0_116077_2019-01-04_final
2019-01-20 11:57:36	ga_ls8c_ard_3-0-0_116076_2019-01-20_final
2019-01-20 11:58:00	ga_ls8c_ard_3-0-0_116077_2019-01-20_final
2019-01-22 11:45:38	ga_ls8c_ard_3-0-0_114077_2019-01-22_final
2019-01-24 11:32:28	ga_ls8c_ard_3-0-0_112075_2019-01-24_final
2019-01-24 11:36:03	ga_ls8c_ard_3-0-0_112084_2019-01-24_final
2019-01-29 11:51:47	ga_ls8c_ard_3-0-0_115077_2019-01-29_final
2019-02-05 11:57:33	ga_ls8c_ard_3-0-0_116076_2019-02-05_final
2019-02-07 11:45:35	ga_ls8c_ard_3-0-0_114077_2019-02-07_final
2019-02-07 11:45:59	ga_ls8c_ard_3-0-0_114078_2019-02-07_final
2019-02-09 11:32:25	ga_ls8c_ard_3-0-0_112075_2019-02-09_final
2019-02-09 11:32:49	ga_ls8c_ard_3-0-0_112076_2019-02-09_final
2019-02-09 11:36:25	ga_ls8c_ard_3-0-0_112085_2019-02-09_final
2019-02-21 11:57:30	ga_ls8c_ard_3-0-0_116076_2019-02-21_final
2019-02-21 11:57:54	ga_ls8c_ard_3-0-0_116077_2019-02-21_final
2019-02-23 11:45:32	ga_ls8c_ard_3-0-0_114077_2019-02-23_final
2019-02-25 11:32:22	ga_ls8c_ard_3-0-0_112075_2019-02-25_final
2019-02-25 11:35:58	ga_ls8c_ard_3-0-0_112084_2019-02-25_final
2019-02-25 11:36:21	ga_ls8c_ard_3-0-0_112085_2019-02-25_final
2019-03-02 11:51:41	ga_ls8c_ard_3-0-0_115077_2019-03-02_final
2019-04-21 11:39:04	ga_ls8c_ard_3-0-0_113077_2019-04-21_final
2019-04-26 11:57:10	ga_ls8c_ard_3-0-0_116076_2019-04-26_final
2019-04-26 11:57:34	ga_ls8c_ard_3-0-0_116077_2019-04-26_final
2019-04-30 11:32:05	ga_ls8c_ard_3-0-0_112075_2019-04-30_final
2019-05-05 11:51:04	ga_ls8c_ard_3-0-0_115076_2019-05-05_final
2019-05-12 11:57:19	ga_ls8c_ard_3-0-0_116076_2019-05-12_final
2019-05-14 11:45:23	ga_ls8c_ard_3-0-0_114077_2019-05-14_final
2019-05-16 11:35:50	ga_ls8c_ard_3-0-0_112084_2019-05-16_final
2019-05-16 11:36:14	ga_ls8c_ard_3-0-0_112085_2019-05-16_final
2019-05-28 11:57:29	ga_ls8c_ard_3-0-0_116076_2019-05-28_final
2019-05-30 11:45:32	ga_ls8c_ard_3-0-0_114077_2019-05-30_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