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
2013-12-01 10:42:51	ga_ls8c_ard_3-0-0_104070_2013-12-01_final
2013-12-01 10:44:03	ga_ls8c_ard_3-0-0_104073_2013-12-01_final
2013-12-01 10:44:27	ga_ls8c_ard_3-0-0_104074_2013-12-01_final
2013-12-01 10:44:51	ga_ls8c_ard_3-0-0_104075_2013-12-01_final
2013-12-01 10:45:15	ga_ls8c_ard_3-0-0_104076_2013-12-01_final
2014-06-11 10:40:55	ga_ls8c_ard_3-0-0_104070_2014-06-11_final
2014-06-11 10:41:19	ga_ls8c_ard_3-0-0_104071_2014-06-11_final
2014-06-11 10:41:43	ga_ls8c_ard_3-0-0_104072_2014-06-11_final
2014-06-11 10:42:07	ga_ls8c_ard_3-0-0_104073_2014-06-11_final
2014-06-11 10:42:31	ga_ls8c_ard_3-0-0_104074_2014-06-11_final
2014-06-11 10:42:55	ga_ls8c_ard_3-0-0_104075_2014-06-11_final
2014-06-11 10:43:19	ga_ls8c_ard_3-0-0_104076_2014-06-11_final
2014-06-13 10:32:09	ga_ls8c_ard_3-0-0_102079_2014-06-13_final
2014-06-13 10:32:33	ga_ls8c_ard_3-1-0_102080_2014-06-13_final
2014-06-13 10:32:57	ga_ls8c_ard_3-0-0_102081_2014-06-13_final
2014-06-13 10:33:21	ga_ls8c_ard_3-0-0_102082_2014-06-13_final
2016-10-22 10:41:34	ga_ls8c_ard_3-0-0_104070_2016-10-22_final
2016-10-22 10:41:58	ga_ls8c_ard_3-0-0_104071_2016-10-22_final
2016-10-22 10:42:22	ga_ls8c_ard_3-0-0_104072_2016-10-22_final
2016-10-22 10:42:46	ga_ls8c_ard_3-0-0_104073_2016-10-22_final
2016-10-22 10:43:10	ga_ls8c_ard_3-0-0_104074_2016-10-22_final
2016-10-22 10:43:34	ga_ls8c_ard_3-0-0_104075_2016-10-22_final
2016-10-22 10:43:58	ga_ls8c_ard_3-0-0_104076_2016-10-22_final
2016-10-24 10:32:48	ga_ls8c_ard_3-0-0_102079_2016-10-24_final
2016-10-24 10:33:12	ga_ls8c_ard_3-1-0_102080_2016-10-24_final
2016-10-24 10:33:36	ga_ls8c_ard_3-0-0_102081_2016-10-24_final
2016-10-24 10:34:00	ga_ls8c_ard_3-0-0_102082_2016-10-24_final
2016-10-24 10:34:24	ga_ls8c_ard_3-0-0_102083_2016-10-24_final
2016-10-29 10:46:34	ga_ls8c_ard_3-0-0_105067_2016-10-29_final
2016-10-29 10:46:58	ga_ls8c_ard_3-0-0_105068_2016-10-29_final
2016-10-29 10:47:22	ga_ls8c_ard_3-0-0_105069_2016-10-29_final
2016-10-29 10:47:45	ga_ls8c_ard_3-0-0_105070_2016-10-29_final
2016-10-29 10:48:09	ga_ls8c_ard_3-0-0_105071_2016-10-29_final
2016-10-31 10:37:23	ga_ls8c_ard_3-0-0_103075_2016-10-31_final
2016-10-31 10:37:47	ga_ls8c_ard_3-0-0_103076_2016-10-31_final
2016-10-31 10:38:11	ga_ls8c_ard_3-0-0_103077_2016-10-31_final
2016-10-31 10:38:35	ga_ls8c_ard_3-0-0_103078_2016-10-31_final
2016-10-31 10:38:59	ga_ls8c_ard_3-0-0_103079_2016-10-31_final
2016-10-31 10:39:23	ga_ls8c_ard_3-0-0_103080_2016-10-31_final
2016-10-31 10:39:47	ga_ls8c_ard_3-0-0_103081_2016-10-31_final
2016-12-25 10:41:52	ga_ls8c_ard_3-0-0_104071_2016-12-25_final
2016-12-25 10:42:16	ga_ls8c_ard_3-0-0_104072_2016-12-25_final
2016-12-25 10:42:40	ga_ls8c_ard_3-0-0_104073_2016-12-25_final
2016-12-25 10:43:03	ga_ls8c_ard_3-0-0_104074_2016-12-25_final
2016-12-25 10:43:27	ga_ls8c_ard_3-0-0_104075_2016-12-25_final
2016-12-25 10:43:51	ga_ls8c_ard_3-0-0_104076_2016-12-25_final
2016-12-27 10:32:42	ga_ls8c_ard_3-0-0_102079_2016-12-27_final
2016-12-27 10:33:05	ga_ls8c_ard_3-0-0_102080_2016-12-27_final
2016-12-27 10:33:29	ga_ls8c_ard_3-0-0_102081_2016-12-27_final
2016-12-27 10:33:53	ga_ls8c_ard_3-0-0_102082_2016-12-27_final
2016-12-27 10:34:17	ga_ls8c_ard_3-0-0_102083_2016-12-27_final
2017-02-27 10:41:30	ga_ls8c_ard_3-0-0_104071_2017-02-27_final
2017-02-27 10:41:54	ga_ls8c_ard_3-0-0_104072_2017-02-27_final
2017-02-27 10:42:18	ga_ls8c_ard_3-0-0_104073_2017-02-27_final
2017-02-27 10:42:42	ga_ls8c_ard_3-0-0_104074_2017-02-27_final
2017-02-27 10:43:06	ga_ls8c_ard_3-0-0_104075_2017-02-27_final
2017-02-27 10:43:29	ga_ls8c_ard_3-0-0_104076_2017-02-27_final
2017-03-01 10:32:19	ga_ls8c_ard_3-0-0_102079_2017-03-01_final
2017-03-01 10:32:43	ga_ls8c_ard_3-0-0_102080_2017-03-01_final
2017-03-01 10:33:07	ga_ls8c_ard_3-0-0_102081_2017-03-01_final
2017-03-01 10:33:31	ga_ls8c_ard_3-0-0_102082_2017-03-01_final
2017-03-01 10:33:55	ga_ls8c_ard_3-0-0_102083_2017-03-01_final
2017-03-06 10:46:01	ga_ls8c_ard_3-0-0_105067_2017-03-06_final
2017-03-06 10:46:25	ga_ls8c_ard_3-0-0_105068_2017-03-06_final
2017-03-06 10:46:49	ga_ls8c_ard_3-0-0_105069_2017-03-06_final
2017-03-06 10:47:13	ga_ls8c_ard_3-0-0_105070_2017-03-06_final
2017-03-06 10:47:37	ga_ls8c_ard_3-0-0_105071_2017-03-06_final
2020-06-02 10:45:43	ga_ls8c_ard_3-1-0_105067_2020-06-02_final
2020-06-02 10:46:07	ga_ls8c_ard_3-1-0_105068_2020-06-02_final
2020-06-02 10:46:31	ga_ls8c_ard_3-1-0_105069_2020-06-02_final
2020-06-02 10:46:55	ga_ls8c_ard_3-1-0_105070_2020-06-02_final
2020-06-02 10:47:19	ga_ls8c_ard_3-1-0_105071_2020-06-02_final
2020-06-18 10:45:53	ga_ls8c_ard_3-1-0_105067_2020-06-18_final
2020-06-18 10:46:17	ga_ls8c_ard_3-1-0_105068_2020-06-18_final
2020-06-18 10:46:41	ga_ls8c_ard_3-1-0_105069_2020-06-18_final
2020-06-18 10:47:05	ga_ls8c_ard_3-1-0_105070_2020-06-18_final
2020-06-18 10:47:29	ga_ls8c_ard_3-1-0_105071_2020-06-18_final
2020-07-04 10:46:01	ga_ls8c_ard_3-1-0_105067_2020-07-04_final
2020-07-04 10:46:25	ga_ls8c_ard_3-1-0_105068_2020-07-04_final
2020-07-04 10:46:49	ga_ls8c_ard_3-1-0_105069_2020-07-04_final
2020-07-24 10:27:47	ga_ls8c_ard_3-1-0_101083_2020-07-24_final
2020-07-24 10:28:11	ga_ls8c_ard_3-1-0_101084_2020-07-24_final
2020-08-09 10:27:51	ga_ls8c_ard_3-1-0_101083_2020-08-09_final
2020-08-09 10:28:15	ga_ls8c_ard_3-1-0_101084_2020-08-09_final
2020-08-21 10:46:17	ga_ls8c_ard_3-1-0_105067_2020-08-21_final
2020-08-21 10:46:40	ga_ls8c_ard_3-1-0_105068_2020-08-21_final
2020-08-21 10:47:04	ga_ls8c_ard_3-1-0_105069_2020-08-21_final
2020-08-21 10:47:28	ga_ls8c_ard_3-1-0_105070_2020-08-21_final
2020-08-21 10:47:52	ga_ls8c_ard_3-1-0_105071_2020-08-21_final
2020-11-11 10:37:19	ga_ls8c_ard_3-1-0_103075_2020-11-11_final
2020-11-11 10:37:43	ga_ls8c_ard_3-1-0_103076_2020-11-11_final
2020-11-11 10:38:07	ga_ls8c_ard_3-1-0_103077_2020-11-11_final
2020-11-11 10:38:31	ga_ls8c_ard_3-1-0_103078_2020-11-11_final
2020-11-11 10:38:55	ga_ls8c_ard_3-1-0_103079_2020-11-11_final
2020-11-11 10:39:19	ga_ls8c_ard_3-1-0_103080_2020-11-11_final
2020-11-11 10:39:43	ga_ls8c_ard_3-1-0_103081_2020-11-11_final
2020-12-06 10:32:49	ga_ls8c_ard_3-1-0_102079_2020-12-06_final
2020-12-06 10:33:13	ga_ls8c_ard_3-1-0_102080_2020-12-06_final
2020-12-06 10:33:37	ga_ls8c_ard_3-1-0_102081_2020-12-06_final
2020-12-06 10:34:01	ga_ls8c_ard_3-1-0_102082_2020-12-06_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