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 11:27:12	ga_ls8c_ard_3-0-0_111073_2013-04-03_final
2013-04-03 11:27:36	ga_ls8c_ard_3-0-0_111074_2013-04-03_final
2013-04-03 11:27:59	ga_ls8c_ard_3-0-0_111075_2013-04-03_final
2013-04-03 11:28:23	ga_ls8c_ard_3-0-0_111076_2013-04-03_final
2013-04-03 11:28:47	ga_ls8c_ard_3-0-0_111077_2013-04-03_final
2013-04-03 11:29:11	ga_ls8c_ard_3-0-0_111078_2013-04-03_final
2013-04-03 11:29:35	ga_ls8c_ard_3-0-0_111079_2013-04-03_final
2013-06-16 11:33:26	ga_ls8c_ard_3-0-0_112072_2013-06-16_final
2013-06-16 11:33:50	ga_ls8c_ard_3-0-0_112073_2013-06-16_final
2013-06-16 11:34:14	ga_ls8c_ard_3-0-0_112074_2013-06-16_final
2013-08-05 11:23:31	ga_ls8c_ard_3-0-0_110078_2013-08-05_final
2013-08-05 11:23:55	ga_ls8c_ard_3-0-0_110079_2013-08-05_final
2013-08-05 11:24:19	ga_ls8c_ard_3-0-0_110080_2013-08-05_final
2013-08-05 11:24:43	ga_ls8c_ard_3-0-0_110081_2013-08-05_final
2013-08-05 11:25:06	ga_ls8c_ard_3-0-0_110082_2013-08-05_final
2013-08-05 11:25:30	ga_ls8c_ard_3-0-0_110083_2013-08-05_final
2015-12-10 11:17:02	ga_ls8c_ard_3-0-0_109082_2015-12-10_final
2015-12-10 11:17:26	ga_ls8c_ard_3-0-0_109083_2015-12-10_final
2015-12-10 11:17:50	ga_ls8c_ard_3-0-0_109084_2015-12-10_final
2015-12-10 11:18:14	ga_ls8c_ard_3-0-0_109085_2015-12-10_final
2015-12-17 11:21:38	ga_ls8c_ard_3-0-0_110078_2015-12-17_final
2015-12-17 11:22:02	ga_ls8c_ard_3-0-0_110079_2015-12-17_final
2015-12-17 11:22:26	ga_ls8c_ard_3-0-0_110080_2015-12-17_final
2015-12-17 11:22:50	ga_ls8c_ard_3-0-0_110081_2015-12-17_final
2015-12-17 11:23:14	ga_ls8c_ard_3-0-0_110082_2015-12-17_final
2015-12-17 11:23:38	ga_ls8c_ard_3-0-0_110083_2015-12-17_final
2015-12-22 11:35:48	ga_ls8c_ard_3-0-0_113067_2015-12-22_final
2015-12-24 11:25:49	ga_ls8c_ard_3-0-0_111073_2015-12-24_final
2015-12-24 11:26:13	ga_ls8c_ard_3-0-0_111074_2015-12-24_final
2015-12-24 11:26:37	ga_ls8c_ard_3-0-0_111075_2015-12-24_final
2015-12-24 11:27:01	ga_ls8c_ard_3-0-0_111076_2015-12-24_final
2015-12-24 11:27:25	ga_ls8c_ard_3-0-0_111077_2015-12-24_final
2015-12-24 11:27:49	ga_ls8c_ard_3-0-0_111078_2015-12-24_final
2015-12-24 11:28:13	ga_ls8c_ard_3-0-0_111079_2015-12-24_final
2016-01-23 11:35:44	ga_ls8c_ard_3-0-0_113067_2016-01-23_final
2016-01-25 11:25:46	ga_ls8c_ard_3-0-0_111073_2016-01-25_final
2016-01-25 11:26:10	ga_ls8c_ard_3-0-0_111074_2016-01-25_final
2016-01-25 11:26:34	ga_ls8c_ard_3-0-0_111075_2016-01-25_final
2016-01-25 11:26:58	ga_ls8c_ard_3-0-0_111076_2016-01-25_final
2016-01-25 11:27:22	ga_ls8c_ard_3-0-0_111077_2016-01-25_final
2016-01-25 11:27:46	ga_ls8c_ard_3-0-0_111078_2016-01-25_final
2016-01-25 11:28:10	ga_ls8c_ard_3-0-0_111079_2016-01-25_final
2016-01-27 11:16:59	ga_ls8c_ard_3-0-0_109082_2016-01-27_final
2016-01-27 11:17:23	ga_ls8c_ard_3-0-0_109083_2016-01-27_final
2016-01-27 11:17:47	ga_ls8c_ard_3-0-0_109084_2016-01-27_final
2016-01-27 11:18:11	ga_ls8c_ard_3-0-0_109085_2016-01-27_final
2016-02-03 11:21:33	ga_ls8c_ard_3-0-0_110078_2016-02-03_final
2016-02-03 11:21:56	ga_ls8c_ard_3-0-0_110079_2016-02-03_final
2016-02-03 11:22:20	ga_ls8c_ard_3-0-0_110080_2016-02-03_final
2016-02-03 11:22:44	ga_ls8c_ard_3-0-0_110081_2016-02-03_final
2016-02-03 11:23:08	ga_ls8c_ard_3-0-0_110082_2016-02-03_final
2016-02-03 11:23:32	ga_ls8c_ard_3-0-0_110083_2016-02-03_final
2016-02-24 11:35:33	ga_ls8c_ard_3-0-0_113067_2016-02-24_final
2016-02-26 11:25:35	ga_ls8c_ard_3-0-0_111073_2016-02-26_final
2016-02-26 11:25:59	ga_ls8c_ard_3-0-0_111074_2016-02-26_final
2016-02-26 11:26:23	ga_ls8c_ard_3-0-0_111075_2016-02-26_final
2016-02-26 11:26:47	ga_ls8c_ard_3-0-0_111076_2016-02-26_final
2016-02-26 11:27:11	ga_ls8c_ard_3-0-0_111077_2016-02-26_final
2016-02-26 11:27:35	ga_ls8c_ard_3-0-0_111078_2016-02-26_final
2016-02-26 11:27:59	ga_ls8c_ard_3-0-0_111079_2016-02-26_final
2016-03-13 11:25:32	ga_ls8c_ard_3-0-0_111073_2016-03-13_final
2016-03-13 11:25:56	ga_ls8c_ard_3-0-0_111074_2016-03-13_final
2016-03-13 11:26:20	ga_ls8c_ard_3-0-0_111075_2016-03-13_final
2016-03-13 11:26:44	ga_ls8c_ard_3-0-0_111076_2016-03-13_final
2016-03-13 11:27:08	ga_ls8c_ard_3-0-0_111077_2016-03-13_final
2016-03-13 11:27:32	ga_ls8c_ard_3-0-0_111078_2016-03-13_final
2016-03-13 11:27:56	ga_ls8c_ard_3-0-0_111079_2016-03-13_final
2016-03-22 11:21:16	ga_ls8c_ard_3-0-0_110078_2016-03-22_final
2016-03-22 11:21:40	ga_ls8c_ard_3-0-0_110079_2016-03-22_final
2016-03-22 11:22:04	ga_ls8c_ard_3-0-0_110080_2016-03-22_final
2016-03-22 11:22:28	ga_ls8c_ard_3-0-0_110081_2016-03-22_final
2016-03-22 11:22:52	ga_ls8c_ard_3-0-0_110082_2016-03-22_final
2016-03-22 11:23:16	ga_ls8c_ard_3-0-0_110083_2016-03-22_final
2016-05-07 11:29:52	ga_ls8c_ard_3-0-0_112069_2016-05-07_final
2016-05-07 11:30:16	ga_ls8c_ard_3-0-0_112070_2016-05-07_final
2016-05-07 11:30:40	ga_ls8c_ard_3-0-0_112071_2016-05-07_final
2016-05-07 11:31:04	ga_ls8c_ard_3-0-0_112072_2016-05-07_final
2018-04-11 11:29:38	ga_ls8c_ard_3-0-0_112069_2018-04-11_final
2018-04-11 11:30:02	ga_ls8c_ard_3-0-0_112070_2018-04-11_final
2018-04-11 11:30:26	ga_ls8c_ard_3-0-0_112071_2018-04-11_final
2018-04-11 11:30:49	ga_ls8c_ard_3-0-0_112072_2018-04-11_final
2018-04-11 11:31:13	ga_ls8c_ard_3-0-0_112073_2018-04-11_final
2018-04-11 11:31:37	ga_ls8c_ard_3-0-0_112074_2018-04-11_final
2018-05-13 11:29:19	ga_ls8c_ard_3-0-0_112069_2018-05-13_final
2018-05-13 11:29:43	ga_ls8c_ard_3-0-0_112070_2018-05-13_final
2018-05-13 11:30:06	ga_ls8c_ard_3-0-0_112071_2018-05-13_final
2018-05-13 11:30:30	ga_ls8c_ard_3-0-0_112072_2018-05-13_final
2018-05-13 11:30:54	ga_ls8c_ard_3-0-0_112073_2018-05-13_final
2018-05-13 11:31:18	ga_ls8c_ard_3-0-0_112074_2018-05-13_final
2019-02-04 11:16:41	ga_ls8c_ard_3-0-0_109082_2019-02-04_final
2019-02-04 11:17:05	ga_ls8c_ard_3-0-0_109083_2019-02-04_final
2019-02-04 11:17:29	ga_ls8c_ard_3-0-0_109084_2019-02-04_final
2019-02-04 11:17:53	ga_ls8c_ard_3-0-0_109085_2019-02-04_final
2019-02-20 11:16:38	ga_ls8c_ard_3-0-0_109082_2019-02-20_final
2019-02-20 11:17:02	ga_ls8c_ard_3-0-0_109083_2019-02-20_final
2019-02-20 11:17:26	ga_ls8c_ard_3-0-0_109084_2019-02-20_final
2019-02-20 11:17:50	ga_ls8c_ard_3-0-0_109085_2019-02-20_final
2019-05-11 11:16:27	ga_ls8c_ard_3-0-0_109082_2019-05-11_final
2019-05-11 11:16:51	ga_ls8c_ard_3-0-0_109083_2019-05-11_final
2019-05-11 11:17:15	ga_ls8c_ard_3-0-0_109084_2019-05-11_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