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
2015-01-15 11:22:20	ga_ls8c_ard_3-0-0_110080_2015-01-15_final
2015-01-15 11:22:44	ga_ls8c_ard_3-0-0_110081_2015-01-15_final
2015-01-15 11:23:08	ga_ls8c_ard_3-0-0_110082_2015-01-15_final
2015-01-15 11:23:32	ga_ls8c_ard_3-0-0_110083_2015-01-15_final
2015-01-15 11:23:55	ga_ls8c_ard_3-0-0_110084_2015-01-15_final
2015-02-07 11:26:23	ga_ls8c_ard_3-0-0_111075_2015-02-07_final
2015-02-07 11:26:47	ga_ls8c_ard_3-0-0_111076_2015-02-07_final
2015-02-07 11:27:11	ga_ls8c_ard_3-0-0_111077_2015-02-07_final
2015-02-07 11:27:35	ga_ls8c_ard_3-0-0_111078_2015-02-07_final
2015-02-07 11:27:59	ga_ls8c_ard_3-0-0_111079_2015-02-07_final
2015-02-07 11:28:23	ga_ls8c_ard_3-0-0_111080_2015-02-07_final
2015-02-07 11:28:47	ga_ls8c_ard_3-0-0_111081_2015-02-07_final
2015-02-28 11:41:37	ga_ls8c_ard_3-0-0_114067_2015-02-28_final
2015-03-20 11:21:52	ga_ls8c_ard_3-0-0_110080_2015-03-20_final
2015-03-20 11:22:16	ga_ls8c_ard_3-0-0_110081_2015-03-20_final
2015-03-20 11:22:40	ga_ls8c_ard_3-0-0_110082_2015-03-20_final
2015-03-20 11:23:04	ga_ls8c_ard_3-0-0_110083_2015-03-20_final
2015-03-20 11:23:28	ga_ls8c_ard_3-0-0_110084_2015-03-20_final
2015-03-20 11:23:52	ga_ls8c_ard_3-0-0_110085_2015-03-20_final
2015-04-05 11:21:40	ga_ls8c_ard_3-0-0_110080_2015-04-05_final
2015-04-05 11:22:04	ga_ls8c_ard_3-0-0_110081_2015-04-05_final
2015-04-05 11:22:28	ga_ls8c_ard_3-0-0_110082_2015-04-05_final
2015-04-05 11:22:52	ga_ls8c_ard_3-0-0_110083_2015-04-05_final
2015-04-05 11:23:16	ga_ls8c_ard_3-0-0_110084_2015-04-05_final
2015-04-05 11:23:40	ga_ls8c_ard_3-0-0_110085_2015-04-05_final
2015-04-12 11:25:52	ga_ls8c_ard_3-0-0_111075_2015-04-12_final
2015-04-12 11:26:16	ga_ls8c_ard_3-0-0_111076_2015-04-12_final
2015-04-12 11:26:40	ga_ls8c_ard_3-0-0_111077_2015-04-12_final
2015-04-12 11:27:04	ga_ls8c_ard_3-0-0_111078_2015-04-12_final
2015-04-12 11:27:27	ga_ls8c_ard_3-0-0_111079_2015-04-12_final
2015-04-12 11:27:51	ga_ls8c_ard_3-0-0_111080_2015-04-12_final
2015-04-12 11:28:15	ga_ls8c_ard_3-0-0_111081_2015-04-12_final
2015-05-07 11:21:25	ga_ls8c_ard_3-0-0_110080_2015-05-07_final
2015-05-07 11:21:49	ga_ls8c_ard_3-0-0_110081_2015-05-07_final
2015-05-07 11:22:13	ga_ls8c_ard_3-0-0_110082_2015-05-07_final
2015-05-07 11:22:37	ga_ls8c_ard_3-0-0_110083_2015-05-07_final
2015-05-07 11:23:01	ga_ls8c_ard_3-0-0_110084_2015-05-07_final
2015-05-07 11:23:24	ga_ls8c_ard_3-0-0_110085_2015-05-07_final
2015-05-12 11:34:42	ga_ls8c_ard_3-0-0_113067_2015-05-12_final
2015-05-12 11:36:41	ga_ls8c_ard_3-0-0_113072_2015-05-12_final
2015-07-26 11:21:54	ga_ls8c_ard_3-0-0_110080_2015-07-26_final
2015-08-11 11:21:58	ga_ls8c_ard_3-0-0_110080_2015-08-11_final
2015-08-11 11:22:22	ga_ls8c_ard_3-0-0_110081_2015-08-11_final
2015-08-11 11:22:46	ga_ls8c_ard_3-0-0_110082_2015-08-11_final
2015-08-11 11:23:10	ga_ls8c_ard_3-0-0_110083_2015-08-11_final
2015-08-11 11:23:34	ga_ls8c_ard_3-0-0_110084_2015-08-11_final
2015-08-11 11:23:58	ga_ls8c_ard_3-0-0_110085_2015-08-11_final
2015-11-27 11:41:59	ga_ls8c_ard_3-0-0_114067_2015-11-27_final
2015-11-29 11:31:13	ga_ls8c_ard_3-0-0_112071_2015-11-29_final
2015-11-29 11:31:37	ga_ls8c_ard_3-0-0_112072_2015-11-29_final
2015-11-29 11:32:01	ga_ls8c_ard_3-0-0_112073_2015-11-29_final
2015-11-29 11:32:25	ga_ls8c_ard_3-0-0_112074_2015-11-29_final
2015-11-29 11:32:49	ga_ls8c_ard_3-0-0_112075_2015-11-29_final
2015-11-29 11:33:13	ga_ls8c_ard_3-0-0_112076_2015-11-29_final
2019-12-08 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-12-08_final
2019-12-10 11:31:23	ga_ls8c_ard_3-1-0_112071_2019-12-10_final
2019-12-10 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-12-10_final
2019-12-10 11:32:10	ga_ls8c_ard_3-1-0_112073_2019-12-10_final
2019-12-10 11:32:34	ga_ls8c_ard_3-1-0_112074_2019-12-10_final
2019-12-10 11:32:58	ga_ls8c_ard_3-1-0_112075_2019-12-10_final
2019-12-10 11:33:22	ga_ls8c_ard_3-1-0_112076_2019-12-10_final
2019-12-19 11:26:46	ga_ls8c_ard_3-2-0_111075_2019-12-19_final
2019-12-19 11:27:10	ga_ls8c_ard_3-2-0_111076_2019-12-19_final
2019-12-19 11:27:34	ga_ls8c_ard_3-2-0_111077_2019-12-19_final
2019-12-19 11:27:58	ga_ls8c_ard_3-2-0_111078_2019-12-19_final
2019-12-19 11:28:22	ga_ls8c_ard_3-2-0_111079_2019-12-19_final
2019-12-19 11:28:46	ga_ls8c_ard_3-2-0_111080_2019-12-19_final
2019-12-19 11:29:10	ga_ls8c_ard_3-2-0_111081_2019-12-19_final
2020-01-02 11:35:52	ga_ls8c_ard_3-1-0_113067_2020-01-02_final
2020-01-02 11:37:28	ga_ls8c_ard_3-1-0_113071_2020-01-02_final
2020-01-02 11:37:52	ga_ls8c_ard_3-1-0_113072_2020-01-02_final
2020-01-06 11:17:31	ga_ls8c_ard_3-1-0_109083_2020-01-06_final
2020-01-06 11:17:55	ga_ls8c_ard_3-1-0_109084_2020-01-06_final
2020-01-06 11:18:19	ga_ls8c_ard_3-1-0_109085_2020-01-06_final
2020-02-14 11:22:20	ga_ls8c_ard_3-1-0_110080_2020-02-14_final
2020-02-14 11:22:44	ga_ls8c_ard_3-1-0_110081_2020-02-14_final
2020-02-14 11:23:08	ga_ls8c_ard_3-1-0_110082_2020-02-14_final
2020-02-14 11:23:32	ga_ls8c_ard_3-1-0_110083_2020-02-14_final
2020-02-14 11:23:56	ga_ls8c_ard_3-1-0_110084_2020-02-14_final
2020-02-14 11:24:20	ga_ls8c_ard_3-1-0_110085_2020-02-14_final
2020-02-23 11:17:19	ga_ls8c_ard_3-1-0_109083_2020-02-23_final
2020-02-23 11:17:43	ga_ls8c_ard_3-1-0_109084_2020-02-23_final
2020-02-23 11:18:07	ga_ls8c_ard_3-1-0_109085_2020-02-23_final
2020-03-01 11:22:16	ga_ls8c_ard_3-1-0_110080_2020-03-01_final
2020-03-01 11:22:39	ga_ls8c_ard_3-1-0_110081_2020-03-01_final
2020-03-01 11:23:03	ga_ls8c_ard_3-1-0_110082_2020-03-01_final
2020-03-01 11:23:27	ga_ls8c_ard_3-1-0_110083_2020-03-01_final
2020-03-01 11:23:51	ga_ls8c_ard_3-1-0_110084_2020-03-01_final
2020-03-01 11:24:15	ga_ls8c_ard_3-1-0_110085_2020-03-01_final
2020-03-26 11:17:04	ga_ls8c_ard_3-1-0_109083_2020-03-26_final
2020-03-26 11:17:28	ga_ls8c_ard_3-1-0_109084_2020-03-26_final
2020-03-26 11:17:52	ga_ls8c_ard_3-1-0_109085_2020-03-26_final
2020-04-23 11:35:12	ga_ls8c_ard_3-1-0_113067_2020-04-23_final
2020-04-23 11:37:11	ga_ls8c_ard_3-1-0_113072_2020-04-23_final
2020-05-16 11:41:15	ga_ls8c_ard_3-1-0_114067_2020-05-16_final
2020-05-18 11:30:30	ga_ls8c_ard_3-1-0_112071_2020-05-18_final
2020-05-18 11:30:54	ga_ls8c_ard_3-1-0_112072_2020-05-18_final
2020-05-18 11:31:18	ga_ls8c_ard_3-1-0_112073_2020-05-18_final
2020-05-18 11:31:42	ga_ls8c_ard_3-1-0_112074_2020-05-18_final
2020-05-18 11:32:06	ga_ls8c_ard_3-1-0_112075_2020-05-18_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