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
2013-08-08 11:53:13	ga_ls8c_ard_3-0-0_115075_2013-08-08_final
2013-08-08 11:53:37	ga_ls8c_ard_3-0-0_115076_2013-08-08_final
2013-08-08 11:54:01	ga_ls8c_ard_3-0-0_115077_2013-08-08_final
2013-08-08 11:54:25	ga_ls8c_ard_3-0-0_115078_2013-08-08_final
2013-09-18 11:47:47	ga_ls8c_ard_3-0-0_114077_2013-09-18_final
2013-09-18 11:48:11	ga_ls8c_ard_3-0-0_114078_2013-09-18_final
2013-09-18 11:48:35	ga_ls8c_ard_3-0-0_114079_2013-09-18_final
2013-09-18 11:48:58	ga_ls8c_ard_3-0-0_114080_2013-09-18_final
2013-09-18 11:49:22	ga_ls8c_ard_3-0-0_114081_2013-09-18_final
2014-08-04 11:45:49	ga_ls8c_ard_3-0-0_114077_2014-08-04_final
2014-08-04 11:46:13	ga_ls8c_ard_3-0-0_114078_2014-08-04_final
2014-08-04 11:46:37	ga_ls8c_ard_3-0-0_114079_2014-08-04_final
2014-08-04 11:47:01	ga_ls8c_ard_3-0-0_114080_2014-08-04_final
2014-08-04 11:47:25	ga_ls8c_ard_3-0-0_114081_2014-08-04_final
2014-08-29 11:41:19	ga_ls8c_ard_3-0-0_113081_2014-08-29_final
2014-08-29 11:41:43	ga_ls8c_ard_3-0-0_113082_2014-08-29_final
2014-08-29 11:42:07	ga_ls8c_ard_3-0-0_113083_2014-08-29_final
2014-08-29 11:42:31	ga_ls8c_ard_3-0-0_113084_2014-08-29_final
2014-09-30 11:41:23	ga_ls8c_ard_3-0-0_113081_2014-09-30_final
2014-09-30 11:41:47	ga_ls8c_ard_3-0-0_113082_2014-09-30_final
2014-09-30 11:42:11	ga_ls8c_ard_3-0-0_113083_2014-09-30_final
2014-09-30 11:42:35	ga_ls8c_ard_3-0-0_113084_2014-09-30_final
2014-10-14 11:51:02	ga_ls8c_ard_3-0-0_115074_2014-10-14_final
2014-10-14 11:51:26	ga_ls8c_ard_3-0-0_115075_2014-10-14_final
2014-10-14 11:51:50	ga_ls8c_ard_3-0-0_115076_2014-10-14_final
2014-10-14 11:52:14	ga_ls8c_ard_3-0-0_115077_2014-10-14_final
2014-10-14 11:52:38	ga_ls8c_ard_3-0-0_115078_2014-10-14_final
2014-10-16 11:41:28	ga_ls8c_ard_3-0-0_113081_2014-10-16_final
2014-10-16 11:41:52	ga_ls8c_ard_3-0-0_113082_2014-10-16_final
2014-10-16 11:42:16	ga_ls8c_ard_3-0-0_113083_2014-10-16_final
2014-10-16 11:42:40	ga_ls8c_ard_3-0-0_113084_2014-10-16_final
2014-10-30 11:50:58	ga_ls8c_ard_3-0-0_115074_2014-10-30_final
2014-10-30 11:51:22	ga_ls8c_ard_3-0-0_115075_2014-10-30_final
2014-11-01 11:41:25	ga_ls8c_ard_3-0-0_113081_2014-11-01_final
2014-11-01 11:41:49	ga_ls8c_ard_3-0-0_113082_2014-11-01_final
2014-11-01 11:42:13	ga_ls8c_ard_3-0-0_113083_2014-11-01_final
2014-11-01 11:42:37	ga_ls8c_ard_3-0-0_113084_2014-11-01_final
2014-11-17 11:41:26	ga_ls8c_ard_3-0-0_113081_2014-11-17_final
2014-11-17 11:41:50	ga_ls8c_ard_3-0-0_113082_2014-11-17_final
2014-11-17 11:42:14	ga_ls8c_ard_3-0-0_113083_2014-11-17_final
2014-11-17 11:42:38	ga_ls8c_ard_3-0-0_113084_2014-11-17_final
2016-01-05 11:50:29	ga_ls8c_ard_3-0-0_115073_2016-01-05_final
2016-01-05 11:50:53	ga_ls8c_ard_3-0-0_115074_2016-01-05_final
2016-01-05 11:51:17	ga_ls8c_ard_3-0-0_115075_2016-01-05_final
2016-01-05 11:51:41	ga_ls8c_ard_3-0-0_115076_2016-01-05_final
2016-01-05 11:52:05	ga_ls8c_ard_3-0-0_115077_2016-01-05_final
2016-01-05 11:52:29	ga_ls8c_ard_3-0-0_115078_2016-01-05_final
2016-01-05 11:52:53	ga_ls8c_ard_3-0-0_115079_2016-01-05_final
2016-01-07 11:41:18	ga_ls8c_ard_3-0-0_113081_2016-01-07_final
2016-01-07 11:41:42	ga_ls8c_ard_3-0-0_113082_2016-01-07_final
2016-01-07 11:42:06	ga_ls8c_ard_3-0-0_113083_2016-01-07_final
2016-01-07 11:42:30	ga_ls8c_ard_3-0-0_113084_2016-01-07_final
2016-02-08 11:41:15	ga_ls8c_ard_3-0-0_113081_2016-02-08_final
2016-02-08 11:41:39	ga_ls8c_ard_3-0-0_113082_2016-02-08_final
2016-02-08 11:42:03	ga_ls8c_ard_3-0-0_113083_2016-02-08_final
2016-02-08 11:42:27	ga_ls8c_ard_3-0-0_113084_2016-02-08_final
2016-02-13 11:56:57	ga_ls8c_ard_3-0-0_116074_2016-02-13_final
2016-03-09 11:50:17	ga_ls8c_ard_3-0-0_115073_2016-03-09_final
2016-03-09 11:50:41	ga_ls8c_ard_3-0-0_115074_2016-03-09_final
2016-03-09 11:51:05	ga_ls8c_ard_3-0-0_115075_2016-03-09_final
2016-03-09 11:51:28	ga_ls8c_ard_3-0-0_115076_2016-03-09_final
2016-03-09 11:51:52	ga_ls8c_ard_3-0-0_115077_2016-03-09_final
2016-03-09 11:52:16	ga_ls8c_ard_3-0-0_115078_2016-03-09_final
2016-03-09 11:52:40	ga_ls8c_ard_3-0-0_115079_2016-03-09_final
2016-03-11 11:41:06	ga_ls8c_ard_3-0-0_113081_2016-03-11_final
2016-03-11 11:41:30	ga_ls8c_ard_3-0-0_113082_2016-03-11_final
2016-03-11 11:41:54	ga_ls8c_ard_3-0-0_113083_2016-03-11_final
2016-03-11 11:42:18	ga_ls8c_ard_3-0-0_113084_2016-03-11_final
2017-04-13 11:49:53	ga_ls8c_ard_3-0-0_115073_2017-04-13_final
2017-04-13 11:50:17	ga_ls8c_ard_3-0-0_115074_2017-04-13_final
2017-04-13 11:50:41	ga_ls8c_ard_3-0-0_115075_2017-04-13_final
2017-04-13 11:51:05	ga_ls8c_ard_3-0-0_115076_2017-04-13_final
2017-04-13 11:51:29	ga_ls8c_ard_3-0-0_115077_2017-04-13_final
2017-04-13 11:51:53	ga_ls8c_ard_3-0-0_115078_2017-04-13_final
2017-04-13 11:52:17	ga_ls8c_ard_3-0-0_115079_2017-04-13_final
2017-05-31 11:50:00	ga_ls8c_ard_3-0-0_115073_2017-05-31_final
2017-05-31 11:50:24	ga_ls8c_ard_3-0-0_115074_2017-05-31_final
2017-05-31 11:50:48	ga_ls8c_ard_3-0-0_115075_2017-05-31_final
2017-05-31 11:51:12	ga_ls8c_ard_3-0-0_115076_2017-05-31_final
2017-05-31 11:51:36	ga_ls8c_ard_3-0-0_115077_2017-05-31_final
2017-05-31 11:52:00	ga_ls8c_ard_3-0-0_115078_2017-05-31_final
2017-07-18 11:50:15	ga_ls8c_ard_3-0-0_115073_2017-07-18_final
2017-07-18 11:50:39	ga_ls8c_ard_3-0-0_115074_2017-07-18_final
2017-07-18 11:51:03	ga_ls8c_ard_3-0-0_115075_2017-07-18_final
2017-07-18 11:51:27	ga_ls8c_ard_3-0-0_115076_2017-07-18_final
2017-07-18 11:51:51	ga_ls8c_ard_3-0-0_115077_2017-07-18_final
2017-07-18 11:52:15	ga_ls8c_ard_3-0-0_115078_2017-07-18_final
2017-07-18 11:52:39	ga_ls8c_ard_3-0-0_115079_2017-07-18_final
2017-07-25 11:56:54	ga_ls8c_ard_3-0-0_116074_2017-07-25_final
2018-04-09 11:45:12	ga_ls8c_ard_3-0-0_114077_2018-04-09_final
2018-04-09 11:45:36	ga_ls8c_ard_3-0-0_114078_2018-04-09_final
2018-04-09 11:46:00	ga_ls8c_ard_3-0-0_114079_2018-04-09_final
2018-04-09 11:46:24	ga_ls8c_ard_3-0-0_114080_2018-04-09_final
2018-04-09 11:46:48	ga_ls8c_ard_3-0-0_114081_2018-04-09_final
2018-04-11 11:36:01	ga_ls8c_ard_3-0-0_112085_2018-04-11_final
2018-05-27 11:44:41	ga_ls8c_ard_3-0-0_114077_2018-05-27_final
2018-05-27 11:45:05	ga_ls8c_ard_3-0-0_114078_2018-05-27_final
2018-05-27 11:45:29	ga_ls8c_ard_3-0-0_114079_2018-05-27_final
2018-05-27 11:45:53	ga_ls8c_ard_3-0-0_114080_2018-05-27_final
2018-05-27 11:46:17	ga_ls8c_ard_3-0-0_114081_2018-05-27_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