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
2015-04-14 11:17:06	ga_ls8c_ard_3-0-0_109084_2015-04-14_final
2015-04-14 11:17:30	ga_ls8c_ard_3-0-0_109085_2015-04-14_final
2015-04-30 11:16:58	ga_ls8c_ard_3-0-0_109084_2015-04-30_final
2015-06-20 11:41:09	ga_ls8c_ard_3-0-0_114067_2015-06-20_final
2015-06-22 11:30:23	ga_ls8c_ard_3-0-0_112071_2015-06-22_final
2015-06-22 11:30:47	ga_ls8c_ard_3-0-0_112072_2015-06-22_final
2015-06-22 11:31:11	ga_ls8c_ard_3-0-0_112073_2015-06-22_final
2015-06-22 11:31:35	ga_ls8c_ard_3-0-0_112074_2015-06-22_final
2015-06-22 11:31:59	ga_ls8c_ard_3-0-0_112075_2015-06-22_final
2015-06-22 11:32:23	ga_ls8c_ard_3-0-0_112076_2015-06-22_final
2015-06-22 11:32:47	ga_ls8c_ard_3-0-0_112077_2015-06-22_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
2015-12-17 11:24:02	ga_ls8c_ard_3-0-0_110084_2015-12-17_final
2015-12-17 11:24:26	ga_ls8c_ard_3-0-0_110085_2015-12-17_final
2015-12-22 11:35:48	ga_ls8c_ard_3-0-0_113067_2015-12-22_final
2015-12-22 11:37:47	ga_ls8c_ard_3-0-0_113072_2015-12-22_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
2015-12-24 11:28:37	ga_ls8c_ard_3-0-0_111080_2015-12-24_final
2015-12-24 11:29:01	ga_ls8c_ard_3-0-0_111081_2015-12-24_final
2016-01-23 11:35:44	ga_ls8c_ard_3-0-0_113067_2016-01-23_final
2016-01-23 11:37:44	ga_ls8c_ard_3-0-0_113072_2016-01-23_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
2016-02-26 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
2016-02-26 11:28:22	ga_ls8c_ard_3-0-0_111080_2016-02-26_final
2016-02-26 11:28:46	ga_ls8c_ard_3-0-0_111081_2016-02-26_final
2016-03-06 11:22:11	ga_ls8c_ard_3-0-0_110080_2016-03-06_final
2016-03-06 11:22:35	ga_ls8c_ard_3-0-0_110081_2016-03-06_final
2016-03-06 11:22:59	ga_ls8c_ard_3-0-0_110082_2016-03-06_final
2016-03-06 11:23:23	ga_ls8c_ard_3-0-0_110083_2016-03-06_final
2016-03-06 11:23:47	ga_ls8c_ard_3-0-0_110084_2016-03-06_final
2016-03-06 11:24:11	ga_ls8c_ard_3-0-0_110085_2016-03-06_final
2016-03-11 11:35:31	ga_ls8c_ard_3-0-0_113067_2016-03-11_final
2016-03-11 11:37:30	ga_ls8c_ard_3-0-0_113072_2016-03-11_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
2016-03-13 11:28:20	ga_ls8c_ard_3-0-0_111080_2016-03-13_final
2016-03-13 11:28:43	ga_ls8c_ard_3-0-0_111081_2016-03-13_final
2016-05-25 11:21:55	ga_ls8c_ard_3-0-0_110080_2016-05-25_final
2016-05-25 11:22:19	ga_ls8c_ard_3-0-0_110081_2016-05-25_final
2016-05-25 11:22:43	ga_ls8c_ard_3-0-0_110082_2016-05-25_final
2016-05-25 11:23:07	ga_ls8c_ard_3-0-0_110083_2016-05-25_final
2016-05-25 11:23:31	ga_ls8c_ard_3-0-0_110084_2016-05-25_final
2016-05-25 11:23:55	ga_ls8c_ard_3-0-0_110085_2016-05-25_final
2016-06-15 11:35:21	ga_ls8c_ard_3-0-0_113067_2016-06-15_final
2016-06-15 11:37:21	ga_ls8c_ard_3-0-0_113072_2016-06-15_final
2016-09-05 11:27:05	ga_ls8c_ard_3-0-0_111076_2016-09-05_final
2016-09-05 11:27:29	ga_ls8c_ard_3-0-0_111077_2016-09-05_final
2016-09-05 11:27:53	ga_ls8c_ard_3-0-0_111078_2016-09-05_final
2016-09-05 11:28:17	ga_ls8c_ard_3-0-0_111079_2016-09-05_final
2016-09-05 11:28:41	ga_ls8c_ard_3-0-0_111080_2016-09-05_final
2016-09-05 11:29:05	ga_ls8c_ard_3-0-0_111081_2016-09-05_final
2018-05-08 11:16:49	ga_ls8c_ard_3-0-0_109084_2018-05-08_final
2018-05-08 11:17:13	ga_ls8c_ard_3-0-0_109085_2018-05-08_final
2019-08-02 11:41:54	ga_ls8c_ard_3-1-0_114067_2019-08-02_final
2019-08-04 11:31:08	ga_ls8c_ard_3-1-0_112071_2019-08-04_final
2019-08-04 11:31:32	ga_ls8c_ard_3-1-0_112072_2019-08-04_final
2019-08-04 11:31:56	ga_ls8c_ard_3-1-0_112073_2019-08-04_final
2019-08-04 11:32:20	ga_ls8c_ard_3-1-0_112074_2019-08-04_final
2019-08-04 11:32:44	ga_ls8c_ard_3-1-0_112075_2019-08-04_final
2019-08-04 11:33:08	ga_ls8c_ard_3-1-0_112076_2019-08-04_final
2019-08-04 11:33:32	ga_ls8c_ard_3-1-0_112077_2019-08-04_final
2019-09-07 11:22:31	ga_ls8c_ard_3-1-0_110080_2019-09-07_final
2019-09-07 11:22:55	ga_ls8c_ard_3-1-0_110081_2019-09-07_final
2019-09-07 11:23:19	ga_ls8c_ard_3-1-0_110082_2019-09-07_final
2019-09-07 11:23:43	ga_ls8c_ard_3-1-0_110083_2019-09-07_final
2019-09-07 11:24:07	ga_ls8c_ard_3-1-0_110084_2019-09-07_final
2019-09-07 11:24:31	ga_ls8c_ard_3-1-0_110085_2019-09-07_final
2019-09-12 11:35:55	ga_ls8c_ard_3-1-0_113067_2019-09-12_final
2019-09-12 11:37:30	ga_ls8c_ard_3-1-0_113071_2019-09-12_final
2019-09-12 11:37:54	ga_ls8c_ard_3-1-0_113072_2019-09-12_final
2019-09-14 11:27:09	ga_ls8c_ard_3-1-0_111076_2019-09-14_final
2019-09-14 11:27:33	ga_ls8c_ard_3-1-0_111077_2019-09-14_final
2019-09-14 11:27:57	ga_ls8c_ard_3-1-0_111078_2019-09-14_final
2019-09-14 11:28:21	ga_ls8c_ard_3-1-0_111079_2019-09-14_final
2019-09-14 11:28:45	ga_ls8c_ard_3-1-0_111080_2019-09-14_final
2019-09-14 11:29:09	ga_ls8c_ard_3-1-0_111081_2019-09-14_final
2019-10-25 11:22:42	ga_ls8c_ard_3-1-0_110080_2019-10-25_final
2019-10-25 11:23:06	ga_ls8c_ard_3-1-0_110081_2019-10-25_final
2019-10-25 11:23:30	ga_ls8c_ard_3-1-0_110082_2019-10-25_final
2019-10-25 11:23:54	ga_ls8c_ard_3-1-0_110083_2019-10-25_final
2019-10-25 11:24:18	ga_ls8c_ard_3-1-0_110084_2019-10-25_final
2019-10-25 11:24:41	ga_ls8c_ard_3-1-0_110085_2019-10-25_final
2019-11-22 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-11-22_final
2019-11-24 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-11-24_final
2019-11-24 11:32:11	ga_ls8c_ard_3-1-0_112073_2019-11-24_final
2019-11-24 11:32:35	ga_ls8c_ard_3-1-0_112074_2019-11-24_final
2019-11-24 11:32:59	ga_ls8c_ard_3-1-0_112075_2019-11-24_final
2019-11-24 11:33:23	ga_ls8c_ard_3-1-0_112076_2019-11-24_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