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
2013-12-13 11:07:07	ga_ls8c_ard_3-0-0_108069_2013-12-13_final
2013-12-13 11:07:31	ga_ls8c_ard_3-0-0_108070_2013-12-13_final
2013-12-15 10:56:43	ga_ls8c_ard_3-0-0_106074_2013-12-15_final
2013-12-15 10:57:07	ga_ls8c_ard_3-0-0_106075_2013-12-15_final
2013-12-15 10:57:31	ga_ls8c_ard_3-0-0_106076_2013-12-15_final
2013-12-15 10:58:43	ga_ls8c_ard_3-0-0_106079_2013-12-15_final
2013-12-15 10:59:07	ga_ls8c_ard_3-0-0_106080_2013-12-15_final
2013-12-17 10:47:31	ga_ls8c_ard_3-0-0_104082_2013-12-17_final
2014-01-09 10:52:17	ga_ls8c_ard_3-0-0_105079_2014-01-09_final
2014-01-09 10:52:41	ga_ls8c_ard_3-0-0_105080_2014-01-09_final
2014-01-09 10:53:05	ga_ls8c_ard_3-0-0_105081_2014-01-09_final
2014-01-09 10:53:29	ga_ls8c_ard_3-0-0_105082_2014-01-09_final
2014-01-16 10:56:44	ga_ls8c_ard_3-0-0_106075_2014-01-16_final
2014-01-16 10:58:19	ga_ls8c_ard_3-0-0_106079_2014-01-16_final
2014-01-16 10:58:43	ga_ls8c_ard_3-0-0_106080_2014-01-16_final
2015-02-13 10:50:49	ga_ls8c_ard_3-0-0_105079_2015-02-13_final
2015-02-13 10:51:13	ga_ls8c_ard_3-0-0_105080_2015-02-13_final
2015-02-13 10:51:37	ga_ls8c_ard_3-0-0_105081_2015-02-13_final
2015-02-13 10:52:01	ga_ls8c_ard_3-0-0_105082_2015-02-13_final
2015-05-20 10:49:39	ga_ls8c_ard_3-0-0_105078_2015-05-20_final
2015-05-20 10:50:02	ga_ls8c_ard_3-0-0_105079_2015-05-20_final
2015-05-20 10:50:26	ga_ls8c_ard_3-0-0_105080_2015-05-20_final
2015-05-20 10:50:50	ga_ls8c_ard_3-0-0_105081_2015-05-20_final
2015-05-20 10:51:14	ga_ls8c_ard_3-0-0_105082_2015-05-20_final
2017-10-21 11:05:03	ga_ls8c_ard_3-0-0_108067_2017-10-21_final
2017-10-21 11:05:27	ga_ls8c_ard_3-0-0_108068_2017-10-21_final
2017-10-21 11:05:51	ga_ls8c_ard_3-0-0_108069_2017-10-21_final
2017-10-21 11:06:15	ga_ls8c_ard_3-0-0_108070_2017-10-21_final
2017-11-22 11:04:57	ga_ls8c_ard_3-0-0_108067_2017-11-22_final
2017-11-22 11:05:21	ga_ls8c_ard_3-0-0_108068_2017-11-22_final
2017-11-22 11:05:45	ga_ls8c_ard_3-0-0_108069_2017-11-22_final
2017-11-22 11:06:09	ga_ls8c_ard_3-0-0_108070_2017-11-22_final
2017-11-24 10:55:22	ga_ls8c_ard_3-0-0_106074_2017-11-24_final
2017-11-24 10:55:46	ga_ls8c_ard_3-0-0_106075_2017-11-24_final
2017-11-24 10:56:10	ga_ls8c_ard_3-0-0_106076_2017-11-24_final
2017-11-24 10:56:34	ga_ls8c_ard_3-0-0_106077_2017-11-24_final
2017-11-24 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-11-24_final
2017-11-24 10:57:22	ga_ls8c_ard_3-0-0_106079_2017-11-24_final
2017-11-24 10:57:46	ga_ls8c_ard_3-0-0_106080_2017-11-24_final
2017-12-03 10:51:09	ga_ls8c_ard_3-0-0_105079_2017-12-03_final
2017-12-03 10:51:33	ga_ls8c_ard_3-0-0_105080_2017-12-03_final
2017-12-03 10:51:57	ga_ls8c_ard_3-0-0_105081_2017-12-03_final
2017-12-03 10:52:21	ga_ls8c_ard_3-0-0_105082_2017-12-03_final
2017-12-03 10:52:44	ga_ls8c_ard_3-0-0_105083_2017-12-03_final
2017-12-26 10:55:22	ga_ls8c_ard_3-0-0_106074_2017-12-26_final
2017-12-26 10:55:46	ga_ls8c_ard_3-0-0_106075_2017-12-26_final
2017-12-26 10:56:10	ga_ls8c_ard_3-0-0_106076_2017-12-26_final
2017-12-26 10:56:34	ga_ls8c_ard_3-0-0_106077_2017-12-26_final
2017-12-26 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-12-26_final
2017-12-26 10:57:22	ga_ls8c_ard_3-0-0_106079_2017-12-26_final
2017-12-26 10:57:46	ga_ls8c_ard_3-0-0_106080_2017-12-26_final
2018-01-09 11:04:51	ga_ls8c_ard_3-0-0_108067_2018-01-09_final
2018-01-09 11:05:15	ga_ls8c_ard_3-0-0_108068_2018-01-09_final
2018-01-09 11:05:39	ga_ls8c_ard_3-0-0_108069_2018-01-09_final
2018-01-09 11:06:03	ga_ls8c_ard_3-0-0_108070_2018-01-09_final
2019-05-13 10:59:19	ga_ls8c_ard_3-0-0_107070_2019-05-13_final
2019-05-13 10:59:43	ga_ls8c_ard_3-0-0_107071_2019-05-13_final
2019-05-13 11:00:07	ga_ls8c_ard_3-0-0_107072_2019-05-13_final
2019-05-13 11:00:31	ga_ls8c_ard_3-0-0_107073_2019-05-13_final
2019-05-13 11:00:55	ga_ls8c_ard_3-0-0_107074_2019-05-13_final
2019-05-13 11:01:19	ga_ls8c_ard_3-0-0_107075_2019-05-13_final
2019-06-30 10:59:40	ga_ls8c_ard_3-1-0_107070_2019-06-30_final
2019-06-30 11:00:04	ga_ls8c_ard_3-1-0_107071_2019-06-30_final
2019-06-30 11:00:28	ga_ls8c_ard_3-1-0_107072_2019-06-30_final
2019-06-30 11:00:52	ga_ls8c_ard_3-1-0_107073_2019-06-30_final
2019-06-30 11:01:16	ga_ls8c_ard_3-1-0_107074_2019-06-30_final
2019-06-30 11:01:40	ga_ls8c_ard_3-1-0_107075_2019-06-30_final
2019-07-18 10:50:57	ga_ls8c_ard_3-1-0_105079_2019-07-18_final
2019-07-18 10:51:21	ga_ls8c_ard_3-1-0_105080_2019-07-18_final
2019-07-18 10:51:45	ga_ls8c_ard_3-1-0_105081_2019-07-18_final
2019-07-18 10:52:09	ga_ls8c_ard_3-1-0_105082_2019-07-18_final
2019-07-18 10:52:33	ga_ls8c_ard_3-1-0_105083_2019-07-18_final
2019-08-03 10:50:40	ga_ls8c_ard_3-1-0_105078_2019-08-03_final
2019-08-03 10:51:04	ga_ls8c_ard_3-1-0_105079_2019-08-03_final
2019-08-03 10:51:28	ga_ls8c_ard_3-1-0_105080_2019-08-03_final
2019-08-03 10:51:52	ga_ls8c_ard_3-1-0_105081_2019-08-03_final
2019-09-20 10:50:54	ga_ls8c_ard_3-1-0_105078_2019-09-20_final
2019-09-20 10:51:18	ga_ls8c_ard_3-1-0_105079_2019-09-20_final
2019-09-20 10:51:42	ga_ls8c_ard_3-1-0_105080_2019-09-20_final
2019-09-20 10:52:06	ga_ls8c_ard_3-1-0_105081_2019-09-20_final
2019-09-20 10:52:30	ga_ls8c_ard_3-1-0_105082_2019-09-20_final
2019-09-20 10:52:54	ga_ls8c_ard_3-1-0_105083_2019-09-20_final
2019-10-06 10:50:58	ga_ls8c_ard_3-1-0_105078_2019-10-06_final
2019-10-06 10:51:22	ga_ls8c_ard_3-1-0_105079_2019-10-06_final
2019-10-06 10:51:46	ga_ls8c_ard_3-1-0_105080_2019-10-06_final
2019-10-06 10:52:10	ga_ls8c_ard_3-1-0_105081_2019-10-06_final
2019-10-06 10:52:34	ga_ls8c_ard_3-1-0_105082_2019-10-06_final
2019-10-06 10:52:58	ga_ls8c_ard_3-1-0_105083_2019-10-06_final
2019-10-29 10:55:35	ga_ls8c_ard_3-1-0_106074_2019-10-29_final
2019-10-29 10:55:59	ga_ls8c_ard_3-1-0_106075_2019-10-29_final
2019-10-29 10:56:23	ga_ls8c_ard_3-1-0_106076_2019-10-29_final
2019-10-29 10:56:46	ga_ls8c_ard_3-1-0_106077_2019-10-29_final
2019-10-29 10:57:10	ga_ls8c_ard_3-1-0_106078_2019-10-29_final
2019-10-29 10:57:34	ga_ls8c_ard_3-1-0_106079_2019-10-29_final
2019-10-29 10:57:58	ga_ls8c_ard_3-1-0_106080_2019-10-29_final
2019-11-07 10:50:58	ga_ls8c_ard_3-1-0_105078_2019-11-07_final
2019-11-07 10:51:22	ga_ls8c_ard_3-1-0_105079_2019-11-07_final
2019-11-07 10:51:46	ga_ls8c_ard_3-1-0_105080_2019-11-07_final
2019-11-07 10:52:10	ga_ls8c_ard_3-1-0_105081_2019-11-07_final
2019-11-07 10:52:34	ga_ls8c_ard_3-1-0_105082_2019-11-07_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