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
2013-04-29 11:37:14	ga_ls8c_ard_3-0-0_112082_2013-04-29_final
2013-05-06 11:44:16	ga_ls8c_ard_3-0-0_113084_2013-05-06_final
2013-05-31 11:37:31	ga_ls8c_ard_3-0-0_112082_2013-05-31_final
2013-06-16 11:37:25	ga_ls8c_ard_3-0-0_112082_2013-06-16_final
2013-07-18 11:37:26	ga_ls8c_ard_3-0-0_112082_2013-07-18_final
2013-07-25 11:44:25	ga_ls8c_ard_3-0-0_113084_2013-07-25_final
2013-08-03 11:37:28	ga_ls8c_ard_3-0-0_112082_2013-08-03_final
2013-08-19 11:37:29	ga_ls8c_ard_3-0-0_112082_2013-08-19_final
2013-09-11 11:44:27	ga_ls8c_ard_3-0-0_113084_2013-09-11_final
2013-09-27 11:44:18	ga_ls8c_ard_3-0-0_113084_2013-09-27_final
2013-10-06 11:37:21	ga_ls8c_ard_3-0-0_112082_2013-10-06_final
2013-10-13 11:44:19	ga_ls8c_ard_3-0-0_113084_2013-10-13_final
2013-10-29 11:44:09	ga_ls8c_ard_3-0-0_113084_2013-10-29_final
2013-11-23 11:37:03	ga_ls8c_ard_3-0-0_112082_2013-11-23_final
2013-12-16 11:43:58	ga_ls8c_ard_3-0-0_113084_2013-12-16_final
2014-01-01 11:43:50	ga_ls8c_ard_3-0-0_113084_2014-01-01_final
2014-01-17 11:43:35	ga_ls8c_ard_3-0-0_113084_2014-01-17_final
2014-01-26 11:36:34	ga_ls8c_ard_3-0-0_112082_2014-01-26_final
2014-02-18 11:43:15	ga_ls8c_ard_3-0-0_113084_2014-02-18_final
2014-03-06 11:43:00	ga_ls8c_ard_3-0-0_113084_2014-03-06_final
2014-05-02 11:35:10	ga_ls8c_ard_3-0-0_112082_2014-05-02_final
2014-05-09 11:42:03	ga_ls8c_ard_3-0-0_113084_2014-05-09_final
2014-05-18 11:34:59	ga_ls8c_ard_3-0-0_112082_2014-05-18_final
2014-05-25 11:41:57	ga_ls8c_ard_3-0-0_113084_2014-05-25_final
2014-08-13 11:42:30	ga_ls8c_ard_3-0-0_113084_2014-08-13_final
2014-09-23 11:35:33	ga_ls8c_ard_3-0-0_112082_2014-09-23_final
2015-01-13 11:35:30	ga_ls8c_ard_3-0-0_112082_2015-01-13_final
2015-01-20 11:42:25	ga_ls8c_ard_3-0-0_113084_2015-01-20_final
2015-03-14 11:57:47	ga_ls8c_ard_3-0-0_116077_2015-03-14_final
2015-04-03 11:34:50	ga_ls8c_ard_3-0-0_112082_2015-04-03_final
2015-04-03 11:36:02	ga_ls8c_ard_3-0-0_112085_2015-04-03_final
2015-04-10 11:41:48	ga_ls8c_ard_3-0-0_113084_2015-04-10_final
2015-04-19 11:36:02	ga_ls8c_ard_3-0-0_112085_2015-04-19_final
2015-05-05 11:34:37	ga_ls8c_ard_3-0-0_112082_2015-05-05_final
2015-05-21 11:35:42	ga_ls8c_ard_3-0-0_112085_2015-05-21_final
2015-06-22 11:35:58	ga_ls8c_ard_3-0-0_112085_2015-06-22_final
2015-07-08 11:34:56	ga_ls8c_ard_3-0-0_112082_2015-07-08_final
2015-07-08 11:36:08	ga_ls8c_ard_3-0-0_112085_2015-07-08_final
2015-08-09 11:36:18	ga_ls8c_ard_3-0-0_112085_2015-08-09_final
2015-08-21 11:57:56	ga_ls8c_ard_3-0-0_116077_2015-08-21_final
2015-08-25 11:36:26	ga_ls8c_ard_3-0-0_112085_2015-08-25_final
2015-09-10 11:36:32	ga_ls8c_ard_3-0-0_112085_2015-09-10_final
2015-09-26 11:36:39	ga_ls8c_ard_3-0-0_112085_2015-09-26_final
2015-10-03 11:42:27	ga_ls8c_ard_3-0-0_113084_2015-10-03_final
2015-11-04 11:42:33	ga_ls8c_ard_3-0-0_113084_2015-11-04_final
2015-12-04 11:52:33	ga_ls8c_ard_3-0-0_115078_2015-12-04_final
2015-12-27 11:58:19	ga_ls8c_ard_3-0-0_116077_2015-12-27_final
2016-02-17 11:36:34	ga_ls8c_ard_3-0-0_112085_2016-02-17_final
2016-03-04 11:36:33	ga_ls8c_ard_3-0-0_112085_2016-03-04_final
2016-03-20 11:36:27	ga_ls8c_ard_3-0-0_112085_2016-03-20_final
2016-05-07 11:36:15	ga_ls8c_ard_3-0-0_112085_2016-05-07_final
2016-06-04 11:57:51	ga_ls8c_ard_3-0-0_116077_2016-06-04_final
2016-06-08 11:36:20	ga_ls8c_ard_3-0-0_112085_2016-06-08_final
2016-06-24 11:36:26	ga_ls8c_ard_3-0-0_112085_2016-06-24_final
2016-07-10 11:36:34	ga_ls8c_ard_3-0-0_112085_2016-07-10_final
2016-07-15 11:52:21	ga_ls8c_ard_3-0-0_115078_2016-07-15_final
2016-09-12 11:36:53	ga_ls8c_ard_3-0-0_112085_2016-09-12_final
2016-10-14 11:36:59	ga_ls8c_ard_3-0-0_112085_2016-10-14_final
2016-10-26 11:58:32	ga_ls8c_ard_3-0-0_116077_2016-10-26_final
2016-10-30 11:37:00	ga_ls8c_ard_3-0-0_112085_2016-10-30_final
2016-11-27 11:58:31	ga_ls8c_ard_3-0-0_116077_2016-11-27_final
2016-12-01 11:36:59	ga_ls8c_ard_3-0-0_112085_2016-12-01_final
2016-12-17 11:36:55	ga_ls8c_ard_3-0-0_112085_2016-12-17_final
2016-12-29 11:58:25	ga_ls8c_ard_3-0-0_116077_2016-12-29_final
2017-02-03 11:36:41	ga_ls8c_ard_3-0-0_112085_2017-02-03_final
2017-02-19 11:36:34	ga_ls8c_ard_3-0-0_112085_2017-02-19_final
2017-03-03 11:58:01	ga_ls8c_ard_3-0-0_116077_2017-03-03_final
2017-04-13 11:51:53	ga_ls8c_ard_3-0-0_115078_2017-04-13_final
2017-04-20 11:57:35	ga_ls8c_ard_3-0-0_116077_2017-04-20_final
2017-05-06 11:57:30	ga_ls8c_ard_3-0-0_116077_2017-05-06_final
2017-05-26 11:36:12	ga_ls8c_ard_3-0-0_112085_2017-05-26_final
2017-06-16 11:52:07	ga_ls8c_ard_3-0-0_115078_2017-06-16_final
2017-07-13 11:36:28	ga_ls8c_ard_3-0-0_112085_2017-07-13_final
2017-07-29 11:36:36	ga_ls8c_ard_3-0-0_112085_2017-07-29_final
2017-08-14 11:36:42	ga_ls8c_ard_3-0-0_112085_2017-08-14_final
2017-08-30 11:36:45	ga_ls8c_ard_3-0-0_112085_2017-08-30_final
2017-09-20 11:52:33	ga_ls8c_ard_3-0-0_115078_2017-09-20_final
2017-09-27 11:58:24	ga_ls8c_ard_3-0-0_116077_2017-09-27_final
2017-10-01 11:36:53	ga_ls8c_ard_3-0-0_112085_2017-10-01_final
2017-10-13 11:58:28	ga_ls8c_ard_3-0-0_116077_2017-10-13_final
2017-10-17 11:36:57	ga_ls8c_ard_3-0-0_112085_2017-10-17_final
2017-12-04 11:36:48	ga_ls8c_ard_3-0-0_112085_2017-12-04_final
2018-01-01 11:58:20	ga_ls8c_ard_3-0-0_116077_2018-01-01_final
2018-01-05 11:36:47	ga_ls8c_ard_3-0-0_112085_2018-01-05_final
2018-02-06 11:36:31	ga_ls8c_ard_3-0-0_112085_2018-02-06_final
2018-02-22 11:36:25	ga_ls8c_ard_3-0-0_112085_2018-02-22_final
2018-03-10 11:36:16	ga_ls8c_ard_3-0-0_112085_2018-03-10_final
2018-03-26 11:36:09	ga_ls8c_ard_3-0-0_112085_2018-03-26_final
2018-04-11 11:34:49	ga_ls8c_ard_3-0-0_112082_2018-04-11_final
2018-04-11 11:36:01	ga_ls8c_ard_3-0-0_112085_2018-04-11_final
2018-05-13 11:35:42	ga_ls8c_ard_3-0-0_112085_2018-05-13_final
2018-06-03 11:51:11	ga_ls8c_ard_3-0-0_115078_2018-06-03_final
2018-06-10 11:57:01	ga_ls8c_ard_3-0-0_116077_2018-06-10_final
2018-06-14 11:35:32	ga_ls8c_ard_3-0-0_112085_2018-06-14_final
2018-06-30 11:35:42	ga_ls8c_ard_3-0-0_112085_2018-06-30_final
2018-08-06 11:51:45	ga_ls8c_ard_3-0-0_115078_2018-08-06_final
2018-08-17 11:36:06	ga_ls8c_ard_3-0-0_112085_2018-08-17_final
2018-09-07 11:51:59	ga_ls8c_ard_3-0-0_115078_2018-09-07_final
2018-10-25 11:52:18	ga_ls8c_ard_3-0-0_115078_2018-10-25_final
2018-12-23 11:36:32	ga_ls8c_ard_3-0-0_112085_2018-12-23_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