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
2014-08-06 11:31:05	ga_ls8c_ard_3-0-0_112071_2014-08-06_final
2014-08-06 11:31:29	ga_ls8c_ard_3-0-0_112072_2014-08-06_final
2014-08-06 11:31:53	ga_ls8c_ard_3-0-0_112073_2014-08-06_final
2014-08-06 11:32:17	ga_ls8c_ard_3-0-0_112074_2014-08-06_final
2014-08-06 11:32:41	ga_ls8c_ard_3-0-0_112075_2014-08-06_final
2014-08-06 11:33:05	ga_ls8c_ard_3-0-0_112076_2014-08-06_final
2014-08-08 11:22:20	ga_ls8c_ard_3-0-0_110080_2014-08-08_final
2014-08-08 11:22:44	ga_ls8c_ard_3-0-0_110081_2014-08-08_final
2014-08-08 11:23:08	ga_ls8c_ard_3-0-0_110082_2014-08-08_final
2014-08-08 11:23:32	ga_ls8c_ard_3-0-0_110083_2014-08-08_final
2014-08-08 11:23:55	ga_ls8c_ard_3-0-0_110084_2014-08-08_final
2014-09-09 11:22:26	ga_ls8c_ard_3-0-0_110080_2014-09-09_final
2014-09-09 11:22:50	ga_ls8c_ard_3-0-0_110081_2014-09-09_final
2014-09-09 11:23:14	ga_ls8c_ard_3-0-0_110082_2014-09-09_final
2014-09-09 11:23:38	ga_ls8c_ard_3-0-0_110083_2014-09-09_final
2014-09-09 11:24:02	ga_ls8c_ard_3-0-0_110084_2014-09-09_final
2014-09-14 11:35:48	ga_ls8c_ard_3-0-0_113067_2014-09-14_final
2014-09-14 11:37:47	ga_ls8c_ard_3-0-0_113072_2014-09-14_final
2014-09-16 11:26:37	ga_ls8c_ard_3-0-0_111075_2014-09-16_final
2014-09-16 11:27:01	ga_ls8c_ard_3-0-0_111076_2014-09-16_final
2014-09-16 11:27:25	ga_ls8c_ard_3-0-0_111077_2014-09-16_final
2014-09-16 11:27:49	ga_ls8c_ard_3-0-0_111078_2014-09-16_final
2014-09-16 11:28:13	ga_ls8c_ard_3-0-0_111079_2014-09-16_final
2014-09-16 11:28:37	ga_ls8c_ard_3-0-0_111080_2014-09-16_final
2014-09-16 11:29:01	ga_ls8c_ard_3-0-0_111081_2014-09-16_final
2015-02-16 11:22:06	ga_ls8c_ard_3-0-0_110080_2015-02-16_final
2015-02-16 11:22:30	ga_ls8c_ard_3-0-0_110081_2015-02-16_final
2015-02-16 11:22:54	ga_ls8c_ard_3-0-0_110082_2015-02-16_final
2015-02-16 11:23:18	ga_ls8c_ard_3-0-0_110083_2015-02-16_final
2015-02-16 11:23:42	ga_ls8c_ard_3-0-0_110084_2015-02-16_final
2015-02-28 11:41:37	ga_ls8c_ard_3-0-0_114067_2015-02-28_final
2015-04-10 11:35:01	ga_ls8c_ard_3-0-0_113067_2015-04-10_final
2015-04-10 11:37:01	ga_ls8c_ard_3-0-0_113072_2015-04-10_final
2015-04-21 11:21:40	ga_ls8c_ard_3-0-0_110080_2015-04-21_final
2015-04-21 11:22:04	ga_ls8c_ard_3-0-0_110081_2015-04-21_final
2015-04-21 11:22:28	ga_ls8c_ard_3-0-0_110082_2015-04-21_final
2015-04-21 11:22:52	ga_ls8c_ard_3-0-0_110083_2015-04-21_final
2015-04-21 11:23:16	ga_ls8c_ard_3-0-0_110084_2015-04-21_final
2015-04-21 11:23:39	ga_ls8c_ard_3-0-0_110085_2015-04-21_final
2015-05-23 11:21:21	ga_ls8c_ard_3-0-0_110080_2015-05-23_final
2015-05-23 11:21:45	ga_ls8c_ard_3-0-0_110081_2015-05-23_final
2015-05-23 11:22:09	ga_ls8c_ard_3-0-0_110082_2015-05-23_final
2015-05-23 11:22:33	ga_ls8c_ard_3-0-0_110083_2015-05-23_final
2015-05-23 11:22:57	ga_ls8c_ard_3-0-0_110084_2015-05-23_final
2018-02-13 11:35:28	ga_ls8c_ard_3-0-0_113067_2018-02-13_final
2018-02-13 11:37:28	ga_ls8c_ard_3-0-0_113072_2018-02-13_final
2018-02-15 11:26:17	ga_ls8c_ard_3-0-0_111075_2018-02-15_final
2018-02-15 11:26:41	ga_ls8c_ard_3-0-0_111076_2018-02-15_final
2018-02-15 11:27:05	ga_ls8c_ard_3-0-0_111077_2018-02-15_final
2018-02-15 11:27:29	ga_ls8c_ard_3-0-0_111078_2018-02-15_final
2018-02-15 11:27:53	ga_ls8c_ard_3-0-0_111079_2018-02-15_final
2018-02-15 11:28:17	ga_ls8c_ard_3-0-0_111080_2018-02-15_final
2018-02-15 11:28:41	ga_ls8c_ard_3-0-0_111081_2018-02-15_final
2018-04-20 11:25:45	ga_ls8c_ard_3-0-0_111075_2018-04-20_final
2018-04-20 11:26:09	ga_ls8c_ard_3-0-0_111076_2018-04-20_final
2018-04-20 11:26:33	ga_ls8c_ard_3-0-0_111077_2018-04-20_final
2018-04-20 11:26:57	ga_ls8c_ard_3-0-0_111078_2018-04-20_final
2018-04-20 11:27:20	ga_ls8c_ard_3-0-0_111079_2018-04-20_final
2018-04-20 11:27:44	ga_ls8c_ard_3-0-0_111080_2018-04-20_final
2018-04-20 11:28:08	ga_ls8c_ard_3-0-0_111081_2018-04-20_final
2018-06-05 11:34:26	ga_ls8c_ard_3-0-0_113067_2018-06-05_final
2018-06-05 11:36:25	ga_ls8c_ard_3-0-0_113072_2018-06-05_final
2018-07-27 11:16:34	ga_ls8c_ard_3-0-0_109083_2018-07-27_final
2018-07-27 11:16:57	ga_ls8c_ard_3-0-0_109084_2018-07-27_final
2018-07-27 11:17:21	ga_ls8c_ard_3-0-0_109085_2018-07-27_final
2018-08-01 11:30:22	ga_ls8c_ard_3-0-0_112071_2018-08-01_final
2018-08-01 11:30:46	ga_ls8c_ard_3-0-0_112072_2018-08-01_final
2018-08-01 11:31:10	ga_ls8c_ard_3-0-0_112073_2018-08-01_final
2018-08-01 11:31:34	ga_ls8c_ard_3-0-0_112074_2018-08-01_final
2018-08-01 11:31:58	ga_ls8c_ard_3-0-0_112075_2018-08-01_final
2018-09-16 11:41:28	ga_ls8c_ard_3-0-0_114067_2018-09-16_final
2018-09-25 11:35:20	ga_ls8c_ard_3-0-0_113067_2018-09-25_final
2018-09-25 11:37:20	ga_ls8c_ard_3-0-0_113072_2018-09-25_final
2018-10-27 11:35:33	ga_ls8c_ard_3-0-0_113067_2018-10-27_final
2018-10-27 11:37:33	ga_ls8c_ard_3-0-0_113072_2018-10-27_final
2018-12-16 11:26:21	ga_ls8c_ard_3-0-0_111075_2018-12-16_final
2018-12-16 11:26:45	ga_ls8c_ard_3-0-0_111076_2018-12-16_final
2018-12-16 11:27:09	ga_ls8c_ard_3-0-0_111077_2018-12-16_final
2018-12-16 11:27:33	ga_ls8c_ard_3-0-0_111078_2018-12-16_final
2018-12-16 11:27:57	ga_ls8c_ard_3-0-0_111079_2018-12-16_final
2018-12-16 11:28:21	ga_ls8c_ard_3-0-0_111080_2018-12-16_final
2018-12-16 11:28:45	ga_ls8c_ard_3-0-0_111081_2018-12-16_final
2019-01-08 11:30:56	ga_ls8c_ard_3-0-0_112071_2019-01-08_final
2019-01-08 11:31:20	ga_ls8c_ard_3-0-0_112072_2019-01-08_final
2019-01-08 11:31:44	ga_ls8c_ard_3-0-0_112073_2019-01-08_final
2019-01-08 11:32:07	ga_ls8c_ard_3-0-0_112074_2019-01-08_final
2019-01-08 11:32:31	ga_ls8c_ard_3-0-0_112075_2019-01-08_final
2019-01-08 11:32:55	ga_ls8c_ard_3-0-0_112076_2019-01-08_final
2019-01-10 11:22:09	ga_ls8c_ard_3-0-0_110080_2019-01-10_final
2019-01-10 11:22:33	ga_ls8c_ard_3-0-0_110081_2019-01-10_final
2019-01-10 11:22:57	ga_ls8c_ard_3-0-0_110082_2019-01-10_final
2019-01-10 11:23:21	ga_ls8c_ard_3-0-0_110083_2019-01-10_final
2019-01-10 11:23:45	ga_ls8c_ard_3-0-0_110084_2019-01-10_final
2019-01-10 11:24:09	ga_ls8c_ard_3-0-0_110085_2019-01-10_final
2019-01-17 11:26:19	ga_ls8c_ard_3-0-0_111075_2019-01-17_final
2019-01-17 11:26:43	ga_ls8c_ard_3-0-0_111076_2019-01-17_final
2019-01-17 11:27:07	ga_ls8c_ard_3-0-0_111077_2019-01-17_final
2019-01-17 11:27:31	ga_ls8c_ard_3-0-0_111078_2019-01-17_final
2019-01-17 11:27:55	ga_ls8c_ard_3-0-0_111079_2019-01-17_final
2019-01-17 11:28:18	ga_ls8c_ard_3-0-0_111080_2019-01-17_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