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
2013-04-13 11:34:04	ga_ls8c_ard_3-0-0_112074_2013-04-13_final
2013-04-13 11:34:28	ga_ls8c_ard_3-0-0_112075_2013-04-13_final
2013-04-13 11:34:52	ga_ls8c_ard_3-0-0_112076_2013-04-13_final
2013-04-13 11:35:16	ga_ls8c_ard_3-0-0_112077_2013-04-13_final
2013-04-13 11:35:40	ga_ls8c_ard_3-0-0_112078_2013-04-13_final
2013-04-15 11:24:31	ga_ls8c_ard_3-0-0_110081_2013-04-15_final
2013-04-15 11:24:55	ga_ls8c_ard_3-0-0_110082_2013-04-15_final
2013-04-15 11:25:19	ga_ls8c_ard_3-0-0_110083_2013-04-15_final
2013-04-15 11:25:43	ga_ls8c_ard_3-0-0_110084_2013-04-15_final
2013-05-24 11:29:20	ga_ls8c_ard_3-0-0_111077_2013-05-24_final
2013-05-24 11:29:44	ga_ls8c_ard_3-0-0_111078_2013-05-24_final
2013-05-24 11:30:07	ga_ls8c_ard_3-0-0_111079_2013-05-24_final
2013-05-24 11:30:31	ga_ls8c_ard_3-0-0_111080_2013-05-24_final
2013-05-24 11:30:55	ga_ls8c_ard_3-0-0_111081_2013-05-24_final
2013-06-07 11:39:41	ga_ls8c_ard_3-0-0_113072_2013-06-07_final
2013-06-07 11:40:05	ga_ls8c_ard_3-0-0_113073_2013-06-07_final
2015-08-27 11:22:29	ga_ls8c_ard_3-0-0_110081_2015-08-27_final
2015-08-27 11:22:53	ga_ls8c_ard_3-0-0_110082_2015-08-27_final
2015-08-27 11:23:17	ga_ls8c_ard_3-0-0_110083_2015-08-27_final
2015-08-27 11:23:41	ga_ls8c_ard_3-0-0_110084_2015-08-27_final
2015-08-27 11:24:05	ga_ls8c_ard_3-0-0_110085_2015-08-27_final
2015-10-10 11:41:51	ga_ls8c_ard_3-0-0_114067_2015-10-10_final
2015-10-19 11:35:41	ga_ls8c_ard_3-0-0_113067_2015-10-19_final
2015-10-19 11:37:41	ga_ls8c_ard_3-0-0_113072_2015-10-19_final
2015-10-19 11:38:05	ga_ls8c_ard_3-1-0_113073_2015-10-19_final
2015-12-06 11:35:47	ga_ls8c_ard_3-0-0_113067_2015-12-06_final
2015-12-06 11:37:47	ga_ls8c_ard_3-0-0_113072_2015-12-06_final
2015-12-06 11:38:11	ga_ls8c_ard_3-1-0_113073_2015-12-06_final
2017-11-02 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-11-02_final
2017-11-02 11:32:10	ga_ls8c_ard_3-0-0_112073_2017-11-02_final
2017-11-02 11:32:34	ga_ls8c_ard_3-0-0_112074_2017-11-02_final
2017-11-02 11:32:58	ga_ls8c_ard_3-0-0_112075_2017-11-02_final
2017-11-02 11:33:22	ga_ls8c_ard_3-0-0_112076_2017-11-02_final
2017-11-02 11:33:45	ga_ls8c_ard_3-0-0_112077_2017-11-02_final
2017-11-02 11:34:09	ga_ls8c_ard_3-0-0_112078_2017-11-02_final
2017-11-04 11:22:59	ga_ls8c_ard_3-0-0_110081_2017-11-04_final
2017-11-04 11:23:23	ga_ls8c_ard_3-0-0_110082_2017-11-04_final
2017-11-04 11:23:47	ga_ls8c_ard_3-0-0_110083_2017-11-04_final
2017-11-04 11:24:11	ga_ls8c_ard_3-0-0_110084_2017-11-04_final
2017-11-04 11:24:35	ga_ls8c_ard_3-0-0_110085_2017-11-04_final
2017-11-18 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-11-18_final
2017-11-18 11:32:06	ga_ls8c_ard_3-0-0_112073_2017-11-18_final
2017-11-18 11:32:30	ga_ls8c_ard_3-0-0_112074_2017-11-18_final
2017-11-18 11:32:54	ga_ls8c_ard_3-0-0_112075_2017-11-18_final
2017-11-18 11:33:18	ga_ls8c_ard_3-0-0_112076_2017-11-18_final
2017-11-18 11:33:42	ga_ls8c_ard_3-0-0_112077_2017-11-18_final
2017-11-18 11:34:06	ga_ls8c_ard_3-0-0_112078_2017-11-18_final
2017-11-20 11:22:55	ga_ls8c_ard_3-0-0_110081_2017-11-20_final
2017-11-20 11:23:19	ga_ls8c_ard_3-0-0_110082_2017-11-20_final
2017-11-20 11:23:43	ga_ls8c_ard_3-0-0_110083_2017-11-20_final
2017-11-20 11:24:07	ga_ls8c_ard_3-0-0_110084_2017-11-20_final
2017-11-20 11:24:31	ga_ls8c_ard_3-0-0_110085_2017-11-20_final
2017-12-04 11:31:37	ga_ls8c_ard_3-0-0_112072_2017-12-04_final
2017-12-04 11:32:01	ga_ls8c_ard_3-0-0_112073_2017-12-04_final
2017-12-04 11:32:25	ga_ls8c_ard_3-0-0_112074_2017-12-04_final
2017-12-04 11:32:49	ga_ls8c_ard_3-0-0_112075_2017-12-04_final
2017-12-04 11:33:13	ga_ls8c_ard_3-0-0_112076_2017-12-04_final
2017-12-04 11:33:37	ga_ls8c_ard_3-0-0_112077_2017-12-04_final
2017-12-04 11:34:00	ga_ls8c_ard_3-0-0_112078_2017-12-04_final
2017-12-06 11:22:51	ga_ls8c_ard_3-0-0_110081_2017-12-06_final
2017-12-06 11:23:15	ga_ls8c_ard_3-0-0_110082_2017-12-06_final
2017-12-06 11:23:39	ga_ls8c_ard_3-0-0_110083_2017-12-06_final
2017-12-06 11:24:03	ga_ls8c_ard_3-0-0_110084_2017-12-06_final
2017-12-06 11:24:26	ga_ls8c_ard_3-0-0_110085_2017-12-06_final
2017-12-20 11:31:40	ga_ls8c_ard_3-0-0_112072_2017-12-20_final
2017-12-20 11:32:04	ga_ls8c_ard_3-0-0_112073_2017-12-20_final
2017-12-20 11:32:28	ga_ls8c_ard_3-0-0_112074_2017-12-20_final
2017-12-20 11:32:52	ga_ls8c_ard_3-0-0_112075_2017-12-20_final
2017-12-20 11:33:16	ga_ls8c_ard_3-0-0_112076_2017-12-20_final
2017-12-20 11:33:40	ga_ls8c_ard_3-0-0_112077_2017-12-20_final
2017-12-20 11:34:03	ga_ls8c_ard_3-0-0_112078_2017-12-20_final
2017-12-22 11:22:54	ga_ls8c_ard_3-0-0_110081_2017-12-22_final
2017-12-22 11:23:18	ga_ls8c_ard_3-0-0_110082_2017-12-22_final
2017-12-22 11:23:42	ga_ls8c_ard_3-0-0_110083_2017-12-22_final
2017-12-22 11:24:06	ga_ls8c_ard_3-0-0_110084_2017-12-22_final
2017-12-22 11:24:30	ga_ls8c_ard_3-0-0_110085_2017-12-22_final
2018-09-16 11:41:28	ga_ls8c_ard_3-0-0_114067_2018-09-16_final
2018-10-18 11:41:41	ga_ls8c_ard_3-0-0_114067_2018-10-18_final
2018-12-05 11:41:44	ga_ls8c_ard_3-0-0_114067_2018-12-05_final
2019-01-06 11:41:42	ga_ls8c_ard_3-0-0_114067_2019-01-06_final
2019-06-15 11:41:40	ga_ls8c_ard_3-1-0_114067_2019-06-15_final
2019-06-17 11:31:18	ga_ls8c_ard_3-1-0_112072_2019-06-17_final
2019-06-17 11:31:42	ga_ls8c_ard_3-1-0_112073_2019-06-17_final
2019-06-17 11:32:06	ga_ls8c_ard_3-1-0_112074_2019-06-17_final
2019-06-17 11:32:30	ga_ls8c_ard_3-1-0_112075_2019-06-17_final
2019-06-17 11:32:54	ga_ls8c_ard_3-1-0_112076_2019-06-17_final
2019-06-17 11:33:18	ga_ls8c_ard_3-1-0_112077_2019-06-17_final
2019-06-17 11:33:42	ga_ls8c_ard_3-1-0_112078_2019-06-17_final
2019-06-24 11:35:32	ga_ls8c_ard_3-1-0_113067_2019-06-24_final
2019-06-24 11:37:07	ga_ls8c_ard_3-1-0_113071_2019-06-24_final
2019-06-24 11:37:31	ga_ls8c_ard_3-1-0_113072_2019-06-24_final
2019-06-24 11:37:55	ga_ls8c_ard_3-1-0_113073_2019-06-24_final
2019-08-02 11:41:54	ga_ls8c_ard_3-1-0_114067_2019-08-02_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
2019-08-04 11:33:56	ga_ls8c_ard_3-1-0_112078_2019-08-04_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years