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
2015-12-01 11:22:51	ga_ls8c_ard_3-0-0_110081_2015-12-01_final
2015-12-01 11:23:15	ga_ls8c_ard_3-0-0_110082_2015-12-01_final
2015-12-01 11:23:39	ga_ls8c_ard_3-0-0_110083_2015-12-01_final
2015-12-01 11:24:03	ga_ls8c_ard_3-0-0_110084_2015-12-01_final
2015-12-01 11:24:27	ga_ls8c_ard_3-0-0_110085_2015-12-01_final
2016-01-07 11:37:43	ga_ls8c_ard_3-0-0_113072_2016-01-07_final
2016-01-07 11:38:07	ga_ls8c_ard_3-0-0_113073_2016-01-07_final
2016-01-09 11:27:21	ga_ls8c_ard_3-0-0_111077_2016-01-09_final
2016-01-09 11:27:45	ga_ls8c_ard_3-0-0_111078_2016-01-09_final
2016-01-09 11:28:09	ga_ls8c_ard_3-0-0_111079_2016-01-09_final
2016-01-09 11:28:33	ga_ls8c_ard_3-0-0_111080_2016-01-09_final
2016-01-09 11:28:57	ga_ls8c_ard_3-0-0_111081_2016-01-09_final
2016-01-09 11:29:20	ga_ls8c_ard_3-0-0_111082_2016-01-09_final
2016-01-18 11:22:47	ga_ls8c_ard_3-0-0_110081_2016-01-18_final
2016-01-18 11:23:11	ga_ls8c_ard_3-0-0_110082_2016-01-18_final
2016-01-18 11:23:35	ga_ls8c_ard_3-0-0_110083_2016-01-18_final
2016-01-18 11:23:59	ga_ls8c_ard_3-0-0_110084_2016-01-18_final
2016-01-18 11:24:23	ga_ls8c_ard_3-0-0_110085_2016-01-18_final
2016-02-08 11:37:39	ga_ls8c_ard_3-0-0_113072_2016-02-08_final
2016-02-08 11:38:03	ga_ls8c_ard_3-0-0_113073_2016-02-08_final
2016-02-10 11:27:16	ga_ls8c_ard_3-0-0_111077_2016-02-10_final
2016-02-10 11:27:40	ga_ls8c_ard_3-0-0_111078_2016-02-10_final
2016-02-10 11:28:04	ga_ls8c_ard_3-0-0_111079_2016-02-10_final
2016-02-10 11:28:28	ga_ls8c_ard_3-0-0_111080_2016-02-10_final
2016-02-10 11:28:52	ga_ls8c_ard_3-0-0_111081_2016-02-10_final
2016-02-10 11:29:16	ga_ls8c_ard_3-0-0_111082_2016-02-10_final
2016-02-12 11:18:05	ga_ls8c_ard_3-0-0_109085_2016-02-12_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
2016-02-26 11:29:10	ga_ls8c_ard_3-0-0_111082_2016-02-26_final
2016-03-11 11:37:30	ga_ls8c_ard_3-0-0_113072_2016-03-11_final
2016-03-11 11:37:54	ga_ls8c_ard_3-1-0_113073_2016-03-11_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
2016-03-13 11:29:07	ga_ls8c_ard_3-0-0_111082_2016-03-13_final
2016-03-31 11:17:46	ga_ls8c_ard_3-0-0_109085_2016-03-31_final
2016-04-12 11:37:15	ga_ls8c_ard_3-0-0_113072_2016-04-12_final
2016-04-12 11:37:39	ga_ls8c_ard_3-0-0_113073_2016-04-12_final
2016-04-28 11:35:13	ga_ls8c_ard_3-0-0_113067_2016-04-28_final
2016-04-28 11:37:12	ga_ls8c_ard_3-0-0_113072_2016-04-28_final
2016-04-28 11:37:36	ga_ls8c_ard_3-0-0_113073_2016-04-28_final
2016-04-30 11:26:52	ga_ls8c_ard_3-0-0_111077_2016-04-30_final
2016-04-30 11:27:16	ga_ls8c_ard_3-0-0_111078_2016-04-30_final
2016-04-30 11:27:40	ga_ls8c_ard_3-0-0_111079_2016-04-30_final
2016-04-30 11:28:04	ga_ls8c_ard_3-0-0_111080_2016-04-30_final
2016-04-30 11:28:28	ga_ls8c_ard_3-0-0_111081_2016-04-30_final
2016-04-30 11:28:52	ga_ls8c_ard_3-0-0_111082_2016-04-30_final
2016-05-09 11:22:16	ga_ls8c_ard_3-0-0_110081_2016-05-09_final
2016-05-09 11:22:40	ga_ls8c_ard_3-0-0_110082_2016-05-09_final
2016-05-09 11:23:04	ga_ls8c_ard_3-0-0_110083_2016-05-09_final
2016-05-09 11:23:28	ga_ls8c_ard_3-0-0_110084_2016-05-09_final
2016-05-09 11:23:52	ga_ls8c_ard_3-0-0_110085_2016-05-09_final
2016-05-16 11:26:50	ga_ls8c_ard_3-0-0_111077_2016-05-16_final
2016-05-16 11:27:14	ga_ls8c_ard_3-0-0_111078_2016-05-16_final
2016-05-16 11:27:38	ga_ls8c_ard_3-0-0_111079_2016-05-16_final
2016-05-16 11:28:02	ga_ls8c_ard_3-0-0_111080_2016-05-16_final
2016-05-16 11:28:26	ga_ls8c_ard_3-0-0_111081_2016-05-16_final
2016-05-16 11:28:50	ga_ls8c_ard_3-0-0_111082_2016-05-16_final
2016-05-21 11:41:26	ga_ls8c_ard_3-0-0_114067_2016-05-21_final
2016-05-23 11:31:05	ga_ls8c_ard_3-0-0_112072_2016-05-23_final
2016-05-23 11:31:29	ga_ls8c_ard_3-0-0_112073_2016-05-23_final
2016-05-23 11:31:53	ga_ls8c_ard_3-0-0_112074_2016-05-23_final
2016-05-23 11:32:17	ga_ls8c_ard_3-0-0_112075_2016-05-23_final
2016-05-23 11:32:41	ga_ls8c_ard_3-0-0_112076_2016-05-23_final
2016-05-23 11:33:05	ga_ls8c_ard_3-0-0_112077_2016-05-23_final
2016-05-23 11:33:28	ga_ls8c_ard_3-0-0_112078_2016-05-23_final
2016-06-22 11:41:36	ga_ls8c_ard_3-0-0_114067_2016-06-22_final
2016-08-02 11:37:40	ga_ls8c_ard_3-0-0_113072_2016-08-02_final
2016-08-02 11:38:04	ga_ls8c_ard_3-1-0_113073_2016-08-02_final
2016-08-04 11:27:18	ga_ls8c_ard_3-0-0_111077_2016-08-04_final
2016-08-04 11:27:42	ga_ls8c_ard_3-0-0_111078_2016-08-04_final
2016-08-04 11:28:06	ga_ls8c_ard_3-0-0_111079_2016-08-04_final
2016-08-04 11:28:30	ga_ls8c_ard_3-0-0_111080_2016-08-04_final
2016-08-04 11:28:54	ga_ls8c_ard_3-0-0_111081_2016-08-04_final
2016-08-04 11:29:18	ga_ls8c_ard_3-0-0_111082_2016-08-04_final
2016-08-06 11:18:08	ga_ls8c_ard_3-0-0_109085_2016-08-06_final
2016-09-10 11:42:03	ga_ls8c_ard_3-0-0_114067_2016-09-10_final
2016-09-12 11:31:42	ga_ls8c_ard_3-0-0_112072_2016-09-12_final
2016-09-12 11:32:06	ga_ls8c_ard_3-0-0_112073_2016-09-12_final
2016-09-12 11:32:29	ga_ls8c_ard_3-0-0_112074_2016-09-12_final
2016-09-12 11:32:53	ga_ls8c_ard_3-0-0_112075_2016-09-12_final
2016-09-12 11:33:17	ga_ls8c_ard_3-0-0_112076_2016-09-12_final
2016-09-12 11:33:41	ga_ls8c_ard_3-0-0_112077_2016-09-12_final
2016-09-12 11:34:05	ga_ls8c_ard_3-0-0_112078_2016-09-12_final
2020-06-10 11:37:15	ga_ls8c_ard_3-1-0_113072_2020-06-10_final
2020-06-10 11:37:39	ga_ls8c_ard_3-1-0_113073_2020-06-10_final
2020-07-12 11:37:30	ga_ls8c_ard_3-1-0_113072_2020-07-12_final
2020-07-12 11:37:54	ga_ls8c_ard_3-1-0_113073_2020-07-12_final
2020-07-23 11:22:37	ga_ls8c_ard_3-1-0_110081_2020-07-23_final
2020-07-23 11:23:01	ga_ls8c_ard_3-1-0_110082_2020-07-23_final
2020-07-23 11:23:24	ga_ls8c_ard_3-1-0_110083_2020-07-23_final
2020-07-23 11:23:48	ga_ls8c_ard_3-1-0_110084_2020-07-23_final
2020-07-23 11:24:12	ga_ls8c_ard_3-1-0_110085_2020-07-23_final
2020-08-13 11:37:38	ga_ls8c_ard_3-1-0_113072_2020-08-13_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