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

87 results

Time (local)	Label
2013-06-16 09:55:45	ga_ls8c_ard_3-0-0_096075_2013-06-16_final
2013-07-04 09:46:12	ga_ls8c_ard_3-0-0_094082_2013-07-04_final
2013-07-04 11:24:17	ga_ls8c_ard_3-0-0_110080_2013-07-04_final
2013-07-27 09:51:59	ga_ls8c_ard_3-0-0_095081_2013-07-27_final
2013-07-27 09:52:23	ga_ls8c_ard_3-0-0_095082_2013-07-27_final
2013-07-29 11:17:43	ga_ls8c_ard_3-0-0_109079_2013-07-29_final
2013-07-31 09:26:04	ga_ls8c_ard_3-0-0_091078_2013-07-30_final
2013-08-03 09:55:47	ga_ls8c_ard_3-0-0_096075_2013-08-03_final
2013-08-14 09:38:02	ga_ls8c_ard_3-0-0_093077_2013-08-14_final
2013-08-23 09:33:30	ga_ls8c_ard_3-0-0_092081_2013-08-23_final
2013-09-01 09:28:55	ga_ls8c_ard_3-0-0_091085_2013-08-31_final
2013-09-01 11:04:36	ga_ls8c_ard_3-0-0_107077_2013-09-01_final
2013-09-01 11:05:00	ga_ls8c_ard_3-0-0_107078_2013-09-01_final
2013-09-02 10:10:59	ga_ls8c_ard_3-0-0_098082_2013-09-02_final
2013-09-10 09:21:54	ga_ls8c_ard_3-0-0_090083_2013-09-09_final
2013-09-11 10:04:46	ga_ls8c_ard_3-0-0_097082_2013-09-11_final
2013-09-15 09:41:13	ga_ls8c_ard_3-0-0_093085_2013-09-15_final
2013-10-22 11:37:15	ga_ls8c_ard_3-0-0_112082_2013-10-22_final
2013-11-10 10:28:25	ga_ls8c_ard_3-0-0_101080_2013-11-10_final
2013-11-16 11:31:22	ga_ls8c_ard_3-0-0_111083_2013-11-16_final
2014-01-28 09:46:55	ga_ls8c_ard_3-0-0_094086_2014-01-28_final
2014-01-28 09:47:19	ga_ls8c_ard_3-0-0_094087_2014-01-28_final
2014-02-08 09:27:26	ga_ls8c_ard_3-0-0_091084_2014-02-07_final
2014-02-26 10:51:18	ga_ls8c_ard_3-0-0_105078_2014-02-26_final
2014-03-10 09:37:47	ga_ls8c_ard_3-0-0_093080_2014-03-10_final
2014-04-09 09:49:18	ga_ls8c_ard_3-0-0_095079_2014-04-09_final
2014-04-17 10:36:10	ga_ls8c_ard_3-0-0_103073_2014-04-17_final
2014-04-17 10:36:34	ga_ls8c_ard_3-0-0_103074_2014-04-17_final
2014-04-25 09:47:51	ga_ls8c_ard_3-0-0_095076_2014-04-25_final
2014-04-27 09:38:15	ga_ls8c_ard_3-0-0_093083_2014-04-27_final
2014-05-02 09:53:54	ga_ls8c_ard_3-0-0_096076_2014-05-02_final
2014-05-04 09:41:06	ga_ls8c_ard_3-0-0_094075_2014-05-04_final
2014-05-11 09:48:00	ga_ls8c_ard_3-0-0_095077_2014-05-11_final
2014-05-27 09:47:56	ga_ls8c_ard_3-0-0_095077_2014-05-27_final
2014-05-27 09:48:20	ga_ls8c_ard_3-0-0_095078_2014-05-27_final
2014-05-29 09:36:24	ga_ls8c_ard_3-0-0_093079_2014-05-29_final
2014-06-03 09:55:00	ga_ls8c_ard_3-0-0_096079_2014-06-03_final
2014-06-12 09:48:06	ga_ls8c_ard_3-0-0_095077_2014-06-12_final
2014-06-12 09:48:30	ga_ls8c_ard_3-0-0_095078_2014-06-12_final
2014-06-17 10:05:51	ga_ls8c_ard_3-0-0_098075_2014-06-17_final
2014-06-19 11:33:58	ga_ls8c_ard_3-0-0_112079_2014-06-19_final
2014-06-21 09:42:44	ga_ls8c_ard_3-0-0_094079_2014-06-21_final
2014-06-21 11:21:37	ga_ls8c_ard_3-0-0_110079_2014-06-21_final
2014-06-28 11:24:37	ga_ls8c_ard_3-0-0_111071_2014-06-28_final
2014-07-03 10:05:56	ga_ls8c_ard_3-0-0_098075_2014-07-03_final
2014-07-05 11:34:04	ga_ls8c_ard_3-0-0_112079_2014-07-05_final
2014-07-09 09:30:30	ga_ls8c_ard_3-0-0_092079_2014-07-09_final
2014-07-11 09:18:33	ga_ls8c_ard_3-0-0_090080_2014-07-10_final
2014-07-19 10:06:01	ga_ls8c_ard_3-0-0_098075_2014-07-19_final
2014-07-21 09:54:51	ga_ls8c_ard_3-0-0_096078_2014-07-21_final
2014-07-21 11:33:44	ga_ls8c_ard_3-0-0_112078_2014-07-21_final
2014-07-30 09:48:20	ga_ls8c_ard_3-0-0_095077_2014-07-30_final
2014-07-30 09:48:44	ga_ls8c_ard_3-0-0_095078_2014-07-30_final
2014-08-06 09:55:00	ga_ls8c_ard_3-0-0_096078_2014-08-06_final
2014-08-10 11:09:11	ga_ls8c_ard_3-0-0_108078_2014-08-10_final
2014-08-21 10:51:52	ga_ls8c_ard_3-0-0_105081_2014-08-21_final
2014-08-23 10:38:19	ga_ls8c_ard_3-0-0_103078_2014-08-23_final
2014-08-26 11:09:13	ga_ls8c_ard_3-0-0_108078_2014-08-26_final
2014-08-31 09:46:06	ga_ls8c_ard_3-0-0_095071_2014-08-31_final
2014-09-07 09:56:42	ga_ls8c_ard_3-0-0_096082_2014-09-07_final
2014-09-09 11:22:50	ga_ls8c_ard_3-0-0_110081_2014-09-09_final
2014-09-11 11:09:17	ga_ls8c_ard_3-0-0_108078_2014-09-11_final
2014-09-13 10:56:32	ga_ls8c_ard_3-0-0_106077_2014-09-13_final
2014-10-08 10:52:00	ga_ls8c_ard_3-0-0_105081_2014-10-08_final
2014-10-11 09:44:49	ga_ls8c_ard_3-0-0_094083_2014-10-11_final
2014-10-24 10:52:01	ga_ls8c_ard_3-0-0_105081_2014-10-24_final
2014-11-07 09:24:42	ga_ls8c_ard_3-0-0_091079_2014-11-06_final
2014-11-09 10:52:02	ga_ls8c_ard_3-0-0_105081_2014-11-09_final
2015-01-01 11:08:46	ga_ls8c_ard_3-0-0_108077_2015-01-01_final
2015-01-12 10:49:51	ga_ls8c_ard_3-0-0_105076_2015-01-12_final
2015-01-17 11:08:45	ga_ls8c_ard_3-0-0_108077_2015-01-17_final
2015-02-21 09:56:59	ga_ls8c_ard_3-0-0_097068_2015-02-21_final
2015-02-21 10:02:10	ga_ls8c_ard_3-0-0_097081_2015-02-21_final
2015-03-09 09:59:38	ga_ls8c_ard_3-0-0_097075_2015-03-09_final
2015-03-10 10:41:17	ga_ls8c_ard_3-0-0_104071_2015-03-10_final
2015-03-10 10:41:41	ga_ls8c_ard_3-0-0_104072_2015-03-10_final
2015-03-20 09:42:11	ga_ls8c_ard_3-0-0_094078_2015-03-20_final
2015-09-03 09:45:25	ga_ls8c_ard_3-0-0_095070_2015-09-03_final
2016-07-05 11:11:37	ga_ls8c_ard_3-0-0_109069_2016-07-05_final
2016-10-03 10:12:11	ga_ls8c_ard_3-0-0_099074_2016-10-03_final
2017-11-06 11:09:26	ga_ls8c_ard_3-0-0_108078_2017-11-06_final
2017-11-27 08:10:53	ga_ls8c_ard_3-2-1_079080_2017-11-26_final
2019-09-04 10:52:00	ga_ls8c_ard_3-1-0_105081_2019-09-04_final
2020-08-12 12:31:15	ga_ls8c_ard_3-2-1_122067_2020-08-12_final
2021-11-29 09:53:21	ga_ls8c_ard_3-2-0_096073_2021-11-29_final
2023-11-11 10:45:45	ga_ls8c_ard_3-2-1_104081_2023-11-11_final
2024-01-29 09:59:11	ga_ls8c_ard_3-2-1_097073_2024-01-29_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