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
2013-06-22 10:58:41	ga_ls8c_ard_3-0-0_106078_2013-06-22_final
2013-07-24 10:58:45	ga_ls8c_ard_3-0-0_106078_2013-07-24_final
2013-08-21 11:22:20	ga_ls8c_ard_3-0-0_110075_2013-08-21_final
2013-09-06 11:22:20	ga_ls8c_ard_3-0-0_110075_2013-09-06_final
2013-09-10 10:58:47	ga_ls8c_ard_3-0-0_106078_2013-09-10_final
2013-09-22 11:22:13	ga_ls8c_ard_3-0-0_110075_2013-09-22_final
2013-09-24 11:09:26	ga_ls8c_ard_3-0-0_108074_2013-09-24_final
2013-10-10 11:09:26	ga_ls8c_ard_3-0-0_108074_2013-10-10_final
2013-12-11 11:21:54	ga_ls8c_ard_3-0-0_110075_2013-12-11_final
2014-04-18 11:20:13	ga_ls8c_ard_3-0-0_110075_2014-04-18_final
2014-06-05 11:19:57	ga_ls8c_ard_3-0-0_110075_2014-06-05_final
2014-06-25 10:56:29	ga_ls8c_ard_3-0-0_106078_2014-06-25_final
2014-07-23 11:20:11	ga_ls8c_ard_3-0-0_110075_2014-07-23_final
2014-07-27 10:56:41	ga_ls8c_ard_3-0-0_106078_2014-07-27_final
2014-08-28 10:56:51	ga_ls8c_ard_3-0-0_106078_2014-08-28_final
2014-09-09 11:20:27	ga_ls8c_ard_3-0-0_110075_2014-09-09_final
2014-12-02 10:56:58	ga_ls8c_ard_3-0-0_106078_2014-12-02_final
2015-01-15 11:20:20	ga_ls8c_ard_3-0-0_110075_2015-01-15_final
2015-02-16 11:20:07	ga_ls8c_ard_3-0-0_110075_2015-02-16_final
2015-03-20 11:19:53	ga_ls8c_ard_3-0-0_110075_2015-03-20_final
2015-08-11 11:19:58	ga_ls8c_ard_3-0-0_110075_2015-08-11_final
2015-08-27 11:20:06	ga_ls8c_ard_3-0-0_110075_2015-08-27_final
2015-09-12 11:20:12	ga_ls8c_ard_3-0-0_110075_2015-09-12_final
2015-10-30 11:20:25	ga_ls8c_ard_3-0-0_110075_2015-10-30_final
2015-10-31 10:25:59	ga_ls8c_ard_3-0-0_101078_2015-10-31_final
2015-12-01 11:20:27	ga_ls8c_ard_3-0-0_110075_2015-12-01_final
2016-02-03 11:20:21	ga_ls8c_ard_3-0-0_110075_2016-02-03_final
2016-02-20 10:25:46	ga_ls8c_ard_3-0-0_101078_2016-02-20_final
2016-03-06 11:20:11	ga_ls8c_ard_3-0-0_110075_2016-03-06_final
2016-04-07 11:19:56	ga_ls8c_ard_3-0-0_110075_2016-04-07_final
2016-05-09 11:19:52	ga_ls8c_ard_3-0-0_110075_2016-05-09_final
2016-06-10 11:20:00	ga_ls8c_ard_3-0-0_110075_2016-06-10_final
2016-08-29 11:20:28	ga_ls8c_ard_3-0-0_110075_2016-08-29_final
2017-04-10 11:19:48	ga_ls8c_ard_3-0-0_110075_2017-04-10_final
2017-09-01 11:20:24	ga_ls8c_ard_3-0-0_110075_2017-09-01_final
2017-09-10 11:11:26	ga_ls8c_ard_3-0-0_109068_2017-09-10_final
2017-10-03 11:20:33	ga_ls8c_ard_3-0-0_110075_2017-10-03_final
2017-10-23 10:57:05	ga_ls8c_ard_3-0-0_106078_2017-10-23_final
2017-11-05 10:26:10	ga_ls8c_ard_3-0-0_101078_2017-11-05_final
2017-11-08 10:57:03	ga_ls8c_ard_3-0-0_106078_2017-11-08_final
2017-11-29 11:11:29	ga_ls8c_ard_3-0-0_109068_2017-11-29_final
2017-12-06 11:20:27	ga_ls8c_ard_3-0-0_110075_2017-12-06_final
2017-12-07 10:26:01	ga_ls8c_ard_3-0-0_101078_2017-12-07_final
2017-12-26 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-12-26_final
2018-03-12 11:19:54	ga_ls8c_ard_3-0-0_110075_2018-03-12_final
2018-04-13 11:19:38	ga_ls8c_ard_3-0-0_110075_2018-04-13_final
2018-04-30 10:25:03	ga_ls8c_ard_3-0-0_101078_2018-04-30_final
2018-05-15 11:19:19	ga_ls8c_ard_3-0-0_110075_2018-05-15_final
2018-08-07 10:56:08	ga_ls8c_ard_3-0-0_106078_2018-08-07_final
2018-10-10 10:56:35	ga_ls8c_ard_3-0-0_106078_2018-10-10_final
2018-12-29 10:56:39	ga_ls8c_ard_3-0-0_106078_2018-12-29_final
2019-01-02 10:28:20	ga_ls8c_ard_3-0-0_102069_2019-01-02_final
2019-01-08 09:55:14	ga_ls8c_ard_3-0-0_096079_2019-01-08_final
2019-01-12 11:08:35	ga_ls8c_ard_3-0-0_108077_2019-01-12_final
2019-01-15 11:41:05	ga_ls8c_ard_3-0-0_113081_2019-01-15_final
2019-01-16 10:45:03	ga_ls8c_ard_3-0-0_104080_2019-01-16_final
2019-01-17 09:51:49	ga_ls8c_ard_3-0-0_095086_2019-01-17_final
2019-01-20 10:16:19	ga_ls8c_ard_3-0-0_100070_2019-01-20_final
2019-01-21 10:58:47	ga_ls8c_ard_3-0-0_107068_2019-01-21_final
2019-01-24 09:55:10	ga_ls8c_ard_3-0-0_096079_2019-01-24_final
2019-01-26 11:21:41	ga_ls8c_ard_3-0-0_110079_2019-01-26_final
2019-01-27 10:25:40	ga_ls8c_ard_3-0-0_101078_2019-01-27_final
2019-01-29 10:12:54	ga_ls8c_ard_3-0-0_099077_2019-01-29_final
2019-01-31 10:02:07	ga_ls8c_ard_3-0-0_097081_2019-01-31_final
2019-02-02 09:51:45	ga_ls8c_ard_3-0-0_095086_2019-02-02_final
2019-02-03 10:28:14	ga_ls8c_ard_3-0-0_102069_2019-02-03_final
2019-02-10 10:35:12	ga_ls8c_ard_3-0-0_103071_2019-02-10_final
2019-02-12 10:25:38	ga_ls8c_ard_3-0-0_101078_2019-02-12_final
2019-02-14 10:12:52	ga_ls8c_ard_3-0-0_099077_2019-02-14_final
2019-02-16 11:40:59	ga_ls8c_ard_3-0-0_113081_2019-02-16_final
2019-02-17 10:44:57	ga_ls8c_ard_3-0-0_104080_2019-02-17_final
2019-02-18 09:51:43	ga_ls8c_ard_3-0-0_095086_2019-02-18_final
2019-02-21 10:16:14	ga_ls8c_ard_3-0-0_100070_2019-02-21_final
2019-03-02 10:12:48	ga_ls8c_ard_3-0-0_099077_2019-03-02_final
2019-03-04 09:59:14	ga_ls8c_ard_3-0-0_097074_2019-03-04_final
2019-03-05 10:43:17	ga_ls8c_ard_3-0-0_104076_2019-03-05_final
2019-03-05 10:44:53	ga_ls8c_ard_3-0-0_104080_2019-03-05_final
2019-04-21 10:00:35	ga_ls8c_ard_3-0-0_097078_2019-04-21_final
2019-04-21 10:01:46	ga_ls8c_ard_3-0-0_097081_2019-04-21_final
2019-04-23 09:51:24	ga_ls8c_ard_3-0-0_095086_2019-04-23_final
2019-04-25 11:12:43	ga_ls8c_ard_3-0-0_109073_2019-04-25_final
2019-04-26 10:15:53	ga_ls8c_ard_3-0-0_100070_2019-04-26_final
2019-04-30 09:54:47	ga_ls8c_ard_3-0-0_096079_2019-04-30_final
2019-05-01 10:34:52	ga_ls8c_ard_3-0-0_103071_2019-05-01_final
2019-05-02 11:19:44	ga_ls8c_ard_3-0-0_110075_2019-05-02_final
2019-05-03 10:25:19	ga_ls8c_ard_3-0-0_101078_2019-05-03_final
2019-05-06 10:56:15	ga_ls8c_ard_3-0-0_106078_2019-05-06_final
2019-05-07 10:00:38	ga_ls8c_ard_3-0-0_097078_2019-05-07_final
2019-05-09 09:43:55	ga_ls8c_ard_3-0-0_095067_2019-05-09_final
2019-05-11 09:35:58	ga_ls8c_ard_3-0-0_093078_2019-05-11_final
2019-05-18 11:19:54	ga_ls8c_ard_3-0-0_110075_2019-05-18_final
2019-05-18 11:21:30	ga_ls8c_ard_3-0-0_110079_2019-05-18_final
2019-05-21 10:15:57	ga_ls8c_ard_3-0-0_099085_2019-05-21_final
2019-05-25 09:51:39	ga_ls8c_ard_3-0-0_095086_2019-05-25_final
2019-05-26 10:28:09	ga_ls8c_ard_3-0-0_102069_2019-05-26_final
2019-05-27 11:15:48	ga_ls8c_ard_3-0-0_109080_2019-05-27_final
2019-05-28 10:16:12	ga_ls8c_ard_3-0-0_100070_2019-05-28_final
2019-06-08 10:00:56	ga_ls8c_ard_3-0-0_097078_2019-06-08_final
2019-06-08 10:02:08	ga_ls8c_ard_3-0-0_097081_2019-06-08_final
2019-06-09 10:43:24	ga_ls8c_ard_3-0-0_104076_2019-06-09_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