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
2013-04-03 09:53:24	ga_ls8c_ard_3-0-0_095085_2013-04-03_final
2013-06-25 09:53:31	ga_ls8c_ard_3-0-0_095085_2013-06-25_final
2013-07-11 09:53:35	ga_ls8c_ard_3-0-0_095085_2013-07-11_final
2013-07-27 09:53:34	ga_ls8c_ard_3-0-0_095085_2013-07-27_final
2013-08-12 09:53:36	ga_ls8c_ard_3-0-0_095085_2013-08-12_final
2013-08-28 09:53:38	ga_ls8c_ard_3-0-0_095085_2013-08-28_final
2013-09-13 09:53:35	ga_ls8c_ard_3-0-0_095085_2013-09-13_final
2013-09-29 09:53:28	ga_ls8c_ard_3-0-0_095085_2013-09-29_final
2013-10-15 09:53:27	ga_ls8c_ard_3-0-0_095085_2013-10-15_final
2013-12-18 09:53:05	ga_ls8c_ard_3-0-0_095085_2013-12-18_final
2013-12-27 09:46:03	ga_ls8c_ard_3-0-0_094083_2013-12-27_final
2014-01-03 09:52:58	ga_ls8c_ard_3-0-0_095085_2014-01-03_final
2014-01-19 09:52:44	ga_ls8c_ard_3-0-0_095085_2014-01-19_final
2014-02-13 09:45:28	ga_ls8c_ard_3-0-0_094083_2014-02-13_final
2014-02-20 09:52:23	ga_ls8c_ard_3-0-0_095085_2014-02-20_final
2014-05-11 09:51:11	ga_ls8c_ard_3-0-0_095085_2014-05-11_final
2014-05-23 11:51:54	ga_ls8c_ard_3-0-0_115078_2014-05-23_final
2014-05-27 09:51:08	ga_ls8c_ard_3-0-0_095085_2014-05-27_final
2014-07-14 09:51:28	ga_ls8c_ard_3-0-0_095085_2014-07-14_final
2014-08-15 09:51:39	ga_ls8c_ard_3-0-0_095085_2014-08-15_final
2014-08-31 09:51:41	ga_ls8c_ard_3-0-0_095085_2014-08-31_final
2014-10-18 09:51:50	ga_ls8c_ard_3-0-0_095085_2014-10-18_final
2014-12-21 09:51:43	ga_ls8c_ard_3-0-0_095085_2014-12-21_final
2015-02-19 11:52:13	ga_ls8c_ard_3-0-0_115078_2015-02-19_final
2015-03-27 09:51:05	ga_ls8c_ard_3-0-0_095085_2015-03-27_final
2015-04-08 11:51:47	ga_ls8c_ard_3-0-0_115078_2015-04-08_final
2015-04-12 09:50:58	ga_ls8c_ard_3-0-0_095085_2015-04-12_final
2015-04-28 09:50:52	ga_ls8c_ard_3-0-0_095085_2015-04-28_final
2015-05-10 11:51:28	ga_ls8c_ard_3-0-0_115078_2015-05-10_final
2015-05-30 09:50:40	ga_ls8c_ard_3-0-0_095085_2015-05-30_final
2015-06-15 09:50:53	ga_ls8c_ard_3-0-0_095085_2015-06-15_final
2015-06-27 11:51:45	ga_ls8c_ard_3-0-0_115078_2015-06-27_final
2015-07-01 09:50:59	ga_ls8c_ard_3-0-0_095085_2015-07-01_final
2015-07-10 09:44:07	ga_ls8c_ard_3-0-0_094083_2015-07-10_final
2015-07-29 11:52:01	ga_ls8c_ard_3-0-0_115078_2015-07-29_final
2015-08-27 09:44:24	ga_ls8c_ard_3-0-0_094083_2015-08-27_final
2015-10-01 11:52:25	ga_ls8c_ard_3-0-0_115078_2015-10-01_final
2015-10-17 11:52:25	ga_ls8c_ard_3-0-0_115078_2015-10-17_final
2015-11-02 11:52:31	ga_ls8c_ard_3-0-0_115078_2015-11-02_final
2015-11-22 09:51:44	ga_ls8c_ard_3-0-0_095085_2015-11-22_final
2015-12-20 11:52:33	ga_ls8c_ard_3-0-0_115078_2015-12-20_final
2016-01-02 09:44:43	ga_ls8c_ard_3-0-0_094083_2016-01-02_final
2016-02-22 11:52:18	ga_ls8c_ard_3-0-0_115078_2016-02-22_final
2016-04-07 09:44:15	ga_ls8c_ard_3-0-0_094083_2016-04-07_final
2016-04-10 11:52:01	ga_ls8c_ard_3-0-0_115078_2016-04-10_final
2016-04-14 09:51:11	ga_ls8c_ard_3-0-0_095085_2016-04-14_final
2016-04-23 09:44:08	ga_ls8c_ard_3-0-0_094083_2016-04-23_final
2016-05-12 11:51:56	ga_ls8c_ard_3-0-0_115078_2016-05-12_final
2016-05-16 09:51:09	ga_ls8c_ard_3-0-0_095085_2016-05-16_final
2016-06-01 09:51:15	ga_ls8c_ard_3-0-0_095085_2016-06-01_final
2016-06-26 09:44:25	ga_ls8c_ard_3-0-0_094083_2016-06-26_final
2016-07-03 09:51:27	ga_ls8c_ard_3-0-0_095085_2016-07-03_final
2016-07-19 09:51:34	ga_ls8c_ard_3-0-0_095085_2016-07-19_final
2016-08-20 09:51:42	ga_ls8c_ard_3-0-0_095085_2016-08-20_final
2016-09-05 09:51:48	ga_ls8c_ard_3-0-0_095085_2016-09-05_final
2016-10-07 09:51:52	ga_ls8c_ard_3-0-0_095085_2016-10-07_final
2016-10-23 09:51:56	ga_ls8c_ard_3-0-0_095085_2016-10-23_final
2016-11-08 09:51:55	ga_ls8c_ard_3-0-0_095085_2016-11-08_final
2016-12-06 11:52:43	ga_ls8c_ard_3-0-0_115078_2016-12-06_final
2016-12-10 09:51:53	ga_ls8c_ard_3-0-0_095085_2016-12-10_final
2016-12-26 09:51:50	ga_ls8c_ard_3-0-0_095085_2016-12-26_final
2017-01-07 11:52:36	ga_ls8c_ard_3-0-0_115078_2017-01-07_final
2017-01-11 09:51:46	ga_ls8c_ard_3-0-0_095085_2017-01-11_final
2017-01-23 11:52:31	ga_ls8c_ard_3-0-0_115078_2017-01-23_final
2017-02-28 09:51:27	ga_ls8c_ard_3-0-0_095085_2017-02-28_final
2017-04-01 09:51:10	ga_ls8c_ard_3-0-0_095085_2017-04-01_final
2017-04-17 09:51:02	ga_ls8c_ard_3-0-0_095085_2017-04-17_final
2017-04-26 09:43:57	ga_ls8c_ard_3-0-0_094083_2017-04-26_final
2017-05-03 09:50:52	ga_ls8c_ard_3-0-0_095085_2017-05-03_final
2017-06-20 09:51:19	ga_ls8c_ard_3-0-0_095085_2017-06-20_final
2017-07-15 09:44:26	ga_ls8c_ard_3-0-0_094083_2017-07-15_final
2017-08-19 11:52:28	ga_ls8c_ard_3-0-0_115078_2017-08-19_final
2017-09-08 09:51:42	ga_ls8c_ard_3-0-0_095085_2017-09-08_final
2017-10-10 09:51:52	ga_ls8c_ard_3-0-0_095085_2017-10-10_final
2018-02-24 09:44:21	ga_ls8c_ard_3-0-0_094083_2018-02-24_final
2018-02-27 11:52:07	ga_ls8c_ard_3-0-0_115078_2018-02-27_final
2018-04-29 09:43:48	ga_ls8c_ard_3-0-0_094083_2018-04-29_final
2018-05-31 09:43:25	ga_ls8c_ard_3-0-0_094083_2018-05-31_final
2018-06-07 09:50:23	ga_ls8c_ard_3-0-0_095085_2018-06-07_final
2018-06-19 11:51:20	ga_ls8c_ard_3-0-0_115078_2018-06-19_final
2018-06-23 09:50:34	ga_ls8c_ard_3-0-0_095085_2018-06-23_final
2018-08-22 11:51:53	ga_ls8c_ard_3-0-0_115078_2018-08-22_final
2018-08-26 09:51:06	ga_ls8c_ard_3-0-0_095085_2018-08-26_final
2018-09-20 09:44:15	ga_ls8c_ard_3-0-0_094083_2018-09-20_final
2018-09-27 09:51:18	ga_ls8c_ard_3-0-0_095085_2018-09-27_final
2018-11-10 11:52:20	ga_ls8c_ard_3-0-0_115078_2018-11-10_final
2018-11-26 11:52:20	ga_ls8c_ard_3-0-0_115078_2018-11-26_final
2018-12-12 11:52:17	ga_ls8c_ard_3-0-0_115078_2018-12-12_final
2019-01-10 09:45:16	ga_ls8c_ard_3-0-0_094085_2019-01-10_final
2019-01-10 09:46:04	ga_ls8c_ard_3-0-0_094087_2019-01-10_final
2019-01-13 11:52:15	ga_ls8c_ard_3-0-0_115078_2019-01-13_final
2019-01-26 09:46:00	ga_ls8c_ard_3-0-0_094087_2019-01-26_final
2019-02-11 09:39:59	ga_ls8c_ard_3-0-0_094072_2019-02-11_final
2019-02-14 11:52:09	ga_ls8c_ard_3-0-0_115078_2019-02-14_final
2019-02-27 09:39:55	ga_ls8c_ard_3-0-0_094072_2019-02-27_final
2019-02-27 09:45:54	ga_ls8c_ard_3-0-0_094087_2019-02-27_final
2019-03-06 09:45:40	ga_ls8c_ard_3-0-0_095071_2019-03-06_final
2019-04-23 09:52:12	ga_ls8c_ard_3-0-0_095088_2019-04-23_final
2019-04-26 11:57:10	ga_ls8c_ard_3-0-0_116076_2019-04-26_final
2019-06-10 09:50:11	ga_ls8c_ard_3-0-0_095082_2019-06-10_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