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
2013-05-20 11:52:50	ga_ls8c_ard_3-0-0_115074_2013-05-20_final
2013-05-22 11:42:05	ga_ls8c_ard_3-0-0_113078_2013-05-22_final
2013-05-22 11:42:29	ga_ls8c_ard_3-0-0_113079_2013-05-22_final
2013-05-22 11:42:52	ga_ls8c_ard_3-0-0_113080_2013-05-22_final
2013-05-22 11:43:16	ga_ls8c_ard_3-0-0_113081_2013-05-22_final
2013-05-22 11:43:40	ga_ls8c_ard_3-0-0_113082_2013-05-22_final
2013-05-22 11:44:04	ga_ls8c_ard_3-0-0_113083_2013-05-22_final
2013-07-16 11:46:36	ga_ls8c_ard_3-0-0_114074_2013-07-16_final
2013-07-16 11:47:00	ga_ls8c_ard_3-0-0_114075_2013-07-16_final
2013-07-16 11:47:24	ga_ls8c_ard_3-0-0_114076_2013-07-16_final
2013-07-16 11:47:48	ga_ls8c_ard_3-0-0_114077_2013-07-16_final
2013-07-16 11:48:12	ga_ls8c_ard_3-0-0_114078_2013-07-16_final
2013-07-16 11:48:36	ga_ls8c_ard_3-0-0_114079_2013-07-16_final
2013-09-27 11:41:54	ga_ls8c_ard_3-0-0_113078_2013-09-27_final
2013-09-27 11:42:18	ga_ls8c_ard_3-0-0_113079_2013-09-27_final
2013-09-27 11:42:42	ga_ls8c_ard_3-0-0_113080_2013-09-27_final
2013-09-27 11:43:06	ga_ls8c_ard_3-0-0_113081_2013-09-27_final
2013-09-27 11:43:30	ga_ls8c_ard_3-0-0_113082_2013-09-27_final
2013-09-27 11:43:54	ga_ls8c_ard_3-0-0_113083_2013-09-27_final
2013-11-23 11:37:03	ga_ls8c_ard_3-0-0_112082_2013-11-23_final
2013-11-23 11:37:27	ga_ls8c_ard_3-0-0_112083_2013-11-23_final
2013-11-23 11:37:51	ga_ls8c_ard_3-0-0_112084_2013-11-23_final
2013-11-28 11:52:25	ga_ls8c_ard_3-0-0_115074_2013-11-28_final
2014-01-08 11:45:55	ga_ls8c_ard_3-0-0_114074_2014-01-08_final
2014-01-08 11:46:19	ga_ls8c_ard_3-0-0_114075_2014-01-08_final
2014-01-08 11:46:43	ga_ls8c_ard_3-0-0_114076_2014-01-08_final
2014-01-08 11:47:07	ga_ls8c_ard_3-0-0_114077_2014-01-08_final
2014-01-08 11:47:31	ga_ls8c_ard_3-0-0_114078_2014-01-08_final
2014-01-08 11:47:55	ga_ls8c_ard_3-0-0_114079_2014-01-08_final
2014-01-26 11:36:34	ga_ls8c_ard_3-0-0_112082_2014-01-26_final
2014-08-04 11:45:01	ga_ls8c_ard_3-0-0_114075_2014-08-04_final
2014-08-04 11:45:25	ga_ls8c_ard_3-0-0_114076_2014-08-04_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
2014-08-13 11:40:06	ga_ls8c_ard_3-0-0_113078_2014-08-13_final
2014-08-13 11:40:30	ga_ls8c_ard_3-0-0_113079_2014-08-13_final
2014-08-13 11:40:54	ga_ls8c_ard_3-0-0_113080_2014-08-13_final
2014-08-13 11:41:18	ga_ls8c_ard_3-0-0_113081_2014-08-13_final
2014-08-13 11:41:42	ga_ls8c_ard_3-0-0_113082_2014-08-13_final
2014-08-13 11:42:06	ga_ls8c_ard_3-0-0_113083_2014-08-13_final
2014-10-07 11:44:49	ga_ls8c_ard_3-0-0_114074_2014-10-07_final
2014-10-07 11:45:13	ga_ls8c_ard_3-0-0_114075_2014-10-07_final
2014-10-07 11:45:37	ga_ls8c_ard_3-0-0_114076_2014-10-07_final
2014-10-07 11:46:01	ga_ls8c_ard_3-0-0_114077_2014-10-07_final
2014-10-07 11:46:25	ga_ls8c_ard_3-0-0_114078_2014-10-07_final
2014-10-07 11:46:49	ga_ls8c_ard_3-0-0_114079_2014-10-07_final
2014-11-17 11:40:14	ga_ls8c_ard_3-0-0_113078_2014-11-17_final
2014-11-17 11:40:38	ga_ls8c_ard_3-0-0_113079_2014-11-17_final
2014-11-17 11:41:02	ga_ls8c_ard_3-0-0_113080_2014-11-17_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
2016-05-05 11:44:14	ga_ls8c_ard_3-0-0_114074_2016-05-05_final
2016-05-05 11:44:38	ga_ls8c_ard_3-0-0_114075_2016-05-05_final
2016-05-05 11:45:02	ga_ls8c_ard_3-0-0_114076_2016-05-05_final
2016-05-05 11:45:26	ga_ls8c_ard_3-0-0_114077_2016-05-05_final
2016-05-05 11:45:50	ga_ls8c_ard_3-0-0_114078_2016-05-05_final
2016-05-05 11:46:14	ga_ls8c_ard_3-0-0_114079_2016-05-05_final
2016-06-06 11:44:18	ga_ls8c_ard_3-0-0_114074_2016-06-06_final
2016-06-06 11:44:42	ga_ls8c_ard_3-0-0_114075_2016-06-06_final
2016-06-06 11:45:06	ga_ls8c_ard_3-0-0_114076_2016-06-06_final
2016-06-06 11:45:30	ga_ls8c_ard_3-0-0_114077_2016-06-06_final
2016-06-06 11:45:54	ga_ls8c_ard_3-0-0_114078_2016-06-06_final
2016-06-06 11:46:18	ga_ls8c_ard_3-0-0_114079_2016-06-06_final
2016-08-27 11:35:37	ga_ls8c_ard_3-0-0_112082_2016-08-27_final
2016-08-27 11:36:01	ga_ls8c_ard_3-0-0_112083_2016-08-27_final
2016-08-27 11:36:25	ga_ls8c_ard_3-0-0_112084_2016-08-27_final
2016-08-27 11:36:49	ga_ls8c_ard_3-0-0_112085_2016-08-27_final
2016-10-12 11:44:56	ga_ls8c_ard_3-0-0_114074_2016-10-12_final
2016-10-12 11:45:20	ga_ls8c_ard_3-0-0_114075_2016-10-12_final
2016-10-12 11:45:44	ga_ls8c_ard_3-0-0_114076_2016-10-12_final
2016-10-12 11:46:08	ga_ls8c_ard_3-0-0_114077_2016-10-12_final
2016-10-12 11:46:32	ga_ls8c_ard_3-0-0_114078_2016-10-12_final
2016-10-12 11:46:56	ga_ls8c_ard_3-0-0_114079_2016-10-12_final
2017-07-13 11:35:16	ga_ls8c_ard_3-0-0_112082_2017-07-13_final
2017-07-13 11:35:40	ga_ls8c_ard_3-0-0_112083_2017-07-13_final
2017-07-13 11:36:04	ga_ls8c_ard_3-0-0_112084_2017-07-13_final
2017-07-13 11:36:28	ga_ls8c_ard_3-0-0_112085_2017-07-13_final
2017-08-14 11:35:30	ga_ls8c_ard_3-0-0_112082_2017-08-14_final
2017-08-14 11:35:54	ga_ls8c_ard_3-0-0_112083_2017-08-14_final
2017-08-14 11:36:18	ga_ls8c_ard_3-0-0_112084_2017-08-14_final
2017-08-14 11:36:42	ga_ls8c_ard_3-0-0_112085_2017-08-14_final
2017-10-01 11:35:42	ga_ls8c_ard_3-0-0_112082_2017-10-01_final
2017-10-01 11:36:05	ga_ls8c_ard_3-0-0_112083_2017-10-01_final
2017-10-01 11:36:29	ga_ls8c_ard_3-0-0_112084_2017-10-01_final
2017-10-01 11:36:53	ga_ls8c_ard_3-0-0_112085_2017-10-01_final
2019-03-20 11:39:38	ga_ls8c_ard_3-1-0_113078_2019-03-20_final
2019-03-20 11:40:01	ga_ls8c_ard_3-1-0_113079_2019-03-20_final
2019-03-20 11:40:25	ga_ls8c_ard_3-1-0_113080_2019-03-20_final
2019-03-20 11:40:49	ga_ls8c_ard_3-1-0_113081_2019-03-20_final
2019-03-20 11:41:13	ga_ls8c_ard_3-1-0_113082_2019-03-20_final
2019-03-20 11:41:37	ga_ls8c_ard_3-1-0_113083_2019-03-20_final
2019-04-03 11:49:56	ga_ls8c_ard_3-1-0_115073_2019-04-03_final
2019-04-03 11:50:20	ga_ls8c_ard_3-1-0_115074_2019-04-03_final
2019-04-05 11:39:34	ga_ls8c_ard_3-1-0_113078_2019-04-05_final
2019-04-05 11:39:58	ga_ls8c_ard_3-1-0_113079_2019-04-05_final
2019-04-05 11:40:22	ga_ls8c_ard_3-1-0_113080_2019-04-05_final
2019-04-05 11:40:46	ga_ls8c_ard_3-1-0_113081_2019-04-05_final
2019-04-05 11:41:10	ga_ls8c_ard_3-1-0_113082_2019-04-05_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years