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
2013-06-07 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
2013-06-07 11:40:29	ga_ls8c_ard_3-0-0_113074_2013-06-07_final
2013-08-10 11:39:40	ga_ls8c_ard_3-0-0_113072_2013-08-10_final
2013-08-10 11:40:03	ga_ls8c_ard_3-0-0_113073_2013-08-10_final
2013-08-10 11:40:27	ga_ls8c_ard_3-0-0_113074_2013-08-10_final
2013-08-12 11:29:41	ga_ls8c_ard_3-0-0_111078_2013-08-12_final
2013-08-12 11:30:05	ga_ls8c_ard_3-0-0_111079_2013-08-12_final
2013-08-12 11:30:29	ga_ls8c_ard_3-0-0_111080_2013-08-12_final
2013-08-12 11:30:53	ga_ls8c_ard_3-0-0_111081_2013-08-12_final
2013-08-12 11:31:17	ga_ls8c_ard_3-0-0_111082_2013-08-12_final
2013-08-12 11:31:41	ga_ls8c_ard_3-0-0_111083_2013-08-12_final
2013-08-21 11:25:08	ga_ls8c_ard_3-0-0_110082_2013-08-21_final
2013-08-21 11:25:32	ga_ls8c_ard_3-0-0_110083_2013-08-21_final
2013-08-21 11:25:56	ga_ls8c_ard_3-0-0_110084_2013-08-21_final
2013-11-14 11:39:22	ga_ls8c_ard_3-0-0_113072_2013-11-14_final
2013-11-14 11:39:45	ga_ls8c_ard_3-1-0_113073_2013-11-14_final
2013-11-14 11:40:09	ga_ls8c_ard_3-0-0_113074_2013-11-14_final
2014-10-09 11:32:04	ga_ls8c_ard_3-0-0_112073_2014-10-09_final
2014-10-09 11:32:28	ga_ls8c_ard_3-0-0_112074_2014-10-09_final
2014-10-09 11:32:52	ga_ls8c_ard_3-0-0_112075_2014-10-09_final
2014-10-09 11:33:16	ga_ls8c_ard_3-0-0_112076_2014-10-09_final
2014-10-09 11:33:40	ga_ls8c_ard_3-0-0_112077_2014-10-09_final
2014-10-16 11:37:53	ga_ls8c_ard_3-0-0_113072_2014-10-16_final
2014-10-16 11:38:17	ga_ls8c_ard_3-0-0_113073_2014-10-16_final
2014-10-16 11:38:41	ga_ls8c_ard_3-0-0_113074_2014-10-16_final
2014-10-18 11:27:55	ga_ls8c_ard_3-0-0_111078_2014-10-18_final
2014-10-18 11:28:19	ga_ls8c_ard_3-0-0_111079_2014-10-18_final
2014-10-18 11:28:43	ga_ls8c_ard_3-0-0_111080_2014-10-18_final
2014-10-18 11:29:07	ga_ls8c_ard_3-0-0_111081_2014-10-18_final
2014-10-18 11:29:31	ga_ls8c_ard_3-0-0_111082_2014-10-18_final
2014-10-18 11:29:55	ga_ls8c_ard_3-0-0_111083_2014-10-18_final
2014-10-25 11:32:05	ga_ls8c_ard_3-0-0_112073_2014-10-25_final
2014-10-25 11:32:29	ga_ls8c_ard_3-0-0_112074_2014-10-25_final
2014-10-25 11:32:53	ga_ls8c_ard_3-0-0_112075_2014-10-25_final
2014-10-25 11:33:17	ga_ls8c_ard_3-0-0_112076_2014-10-25_final
2014-10-25 11:33:41	ga_ls8c_ard_3-0-0_112077_2014-10-25_final
2014-10-25 11:34:04	ga_ls8c_ard_3-0-0_112078_2014-10-25_final
2014-10-25 11:34:28	ga_ls8c_ard_3-0-0_112079_2014-10-25_final
2014-11-26 11:32:03	ga_ls8c_ard_3-0-0_112073_2014-11-26_final
2014-11-26 11:32:27	ga_ls8c_ard_3-0-0_112074_2014-11-26_final
2014-11-26 11:32:51	ga_ls8c_ard_3-0-0_112075_2014-11-26_final
2014-11-26 11:33:15	ga_ls8c_ard_3-0-0_112076_2014-11-26_final
2014-11-26 11:33:39	ga_ls8c_ard_3-0-0_112077_2014-11-26_final
2014-11-26 11:34:03	ga_ls8c_ard_3-0-0_112078_2014-11-26_final
2014-11-26 11:34:27	ga_ls8c_ard_3-0-0_112079_2014-11-26_final
2014-12-03 11:37:50	ga_ls8c_ard_3-0-0_113072_2014-12-03_final
2014-12-03 11:38:14	ga_ls8c_ard_3-0-0_113073_2014-12-03_final
2014-12-03 11:38:38	ga_ls8c_ard_3-0-0_113074_2014-12-03_final
2015-12-26 11:18:15	ga_ls8c_ard_3-0-0_109085_2015-12-26_final
2016-03-27 11:37:21	ga_ls8c_ard_3-0-0_113072_2016-03-27_final
2016-03-27 11:37:45	ga_ls8c_ard_3-0-0_113073_2016-03-27_final
2016-03-27 11:38:09	ga_ls8c_ard_3-0-0_113074_2016-03-27_final
2016-03-29 11:27:22	ga_ls8c_ard_3-0-0_111078_2016-03-29_final
2016-03-29 11:27:46	ga_ls8c_ard_3-0-0_111079_2016-03-29_final
2016-03-29 11:28:10	ga_ls8c_ard_3-0-0_111080_2016-03-29_final
2016-03-29 11:28:34	ga_ls8c_ard_3-0-0_111081_2016-03-29_final
2016-03-29 11:28:58	ga_ls8c_ard_3-0-0_111082_2016-03-29_final
2016-03-29 11:29:22	ga_ls8c_ard_3-0-0_111083_2016-03-29_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
2016-04-12 11:38:03	ga_ls8c_ard_3-0-0_113074_2016-04-12_final
2017-03-21 11:41:29	ga_ls8c_ard_3-0-0_114067_2017-03-21_final
2017-03-23 11:31:30	ga_ls8c_ard_3-0-0_112073_2017-03-23_final
2017-03-23 11:31:54	ga_ls8c_ard_3-0-0_112074_2017-03-23_final
2017-03-23 11:32:18	ga_ls8c_ard_3-0-0_112075_2017-03-23_final
2017-03-23 11:32:42	ga_ls8c_ard_3-0-0_112076_2017-03-23_final
2017-03-23 11:33:06	ga_ls8c_ard_3-0-0_112077_2017-03-23_final
2017-03-23 11:33:30	ga_ls8c_ard_3-0-0_112078_2017-03-23_final
2017-03-23 11:33:54	ga_ls8c_ard_3-0-0_112079_2017-03-23_final
2017-06-02 11:37:16	ga_ls8c_ard_3-0-0_113072_2017-06-02_final
2017-06-02 11:37:40	ga_ls8c_ard_3-1-0_113073_2017-06-02_final
2017-06-02 11:38:03	ga_ls8c_ard_3-0-0_113074_2017-06-02_final
2017-06-04 11:27:19	ga_ls8c_ard_3-0-0_111078_2017-06-04_final
2017-06-04 11:27:42	ga_ls8c_ard_3-0-0_111079_2017-06-04_final
2017-06-04 11:28:06	ga_ls8c_ard_3-0-0_111080_2017-06-04_final
2017-06-04 11:28:30	ga_ls8c_ard_3-0-0_111081_2017-06-04_final
2017-06-04 11:28:54	ga_ls8c_ard_3-0-0_111082_2017-06-04_final
2017-06-04 11:29:18	ga_ls8c_ard_3-0-0_111083_2017-06-04_final
2017-07-20 11:37:31	ga_ls8c_ard_3-0-0_113072_2017-07-20_final
2017-07-20 11:37:55	ga_ls8c_ard_3-1-0_113073_2017-07-20_final
2017-07-20 11:38:19	ga_ls8c_ard_3-0-0_113074_2017-07-20_final
2017-07-22 11:27:34	ga_ls8c_ard_3-0-0_111078_2017-07-22_final
2017-07-22 11:27:58	ga_ls8c_ard_3-0-0_111079_2017-07-22_final
2017-07-22 11:28:22	ga_ls8c_ard_3-0-0_111080_2017-07-22_final
2017-07-22 11:28:46	ga_ls8c_ard_3-0-0_111081_2017-07-22_final
2017-07-22 11:29:10	ga_ls8c_ard_3-0-0_111082_2017-07-22_final
2017-07-22 11:29:34	ga_ls8c_ard_3-0-0_111083_2017-07-22_final
2019-03-27 11:41:24	ga_ls8c_ard_3-1-0_114067_2019-03-27_final
2019-03-29 11:31:25	ga_ls8c_ard_3-1-0_112073_2019-03-29_final
2019-03-29 11:31:49	ga_ls8c_ard_3-1-0_112074_2019-03-29_final
2019-03-29 11:32:13	ga_ls8c_ard_3-1-0_112075_2019-03-29_final
2019-03-29 11:32:37	ga_ls8c_ard_3-1-0_112076_2019-03-29_final
2019-03-29 11:33:01	ga_ls8c_ard_3-1-0_112077_2019-03-29_final
2019-03-29 11:33:25	ga_ls8c_ard_3-1-0_112078_2019-03-29_final
2019-03-29 11:33:49	ga_ls8c_ard_3-1-0_112079_2019-03-29_final
2019-04-05 11:36:46	ga_ls8c_ard_3-1-0_113071_2019-04-05_final
2019-04-05 11:37:10	ga_ls8c_ard_3-1-0_113072_2019-04-05_final
2019-04-05 11:37:34	ga_ls8c_ard_3-1-0_113073_2019-04-05_final
2019-04-05 11:37:58	ga_ls8c_ard_3-1-0_113074_2019-04-05_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