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
2014-09-02 11:17:49	ga_ls8c_ard_3-0-0_109084_2014-09-02_final
2014-09-05 11:41:58	ga_ls8c_ard_3-0-0_114067_2014-09-05_final
2014-09-18 11:17:51	ga_ls8c_ard_3-0-0_109084_2014-09-18_final
2014-09-21 11:41:56	ga_ls8c_ard_3-0-0_114067_2014-09-21_final
2014-12-23 11:17:50	ga_ls8c_ard_3-0-0_109084_2014-12-23_final
2014-12-26 11:41:56	ga_ls8c_ard_3-0-0_114067_2014-12-26_final
2015-01-04 11:35:42	ga_ls8c_ard_3-0-0_113067_2015-01-04_final
2015-01-04 11:37:41	ga_ls8c_ard_3-0-0_113072_2015-01-04_final
2015-01-04 11:38:05	ga_ls8c_ard_3-0-0_113073_2015-01-04_final
2015-01-06 11:27:20	ga_ls8c_ard_3-0-0_111077_2015-01-06_final
2015-01-06 11:27:44	ga_ls8c_ard_3-0-0_111078_2015-01-06_final
2015-01-06 11:28:08	ga_ls8c_ard_3-0-0_111079_2015-01-06_final
2015-01-06 11:28:32	ga_ls8c_ard_3-0-0_111080_2015-01-06_final
2015-01-06 11:28:56	ga_ls8c_ard_3-0-0_111081_2015-01-06_final
2015-01-06 11:29:20	ga_ls8c_ard_3-0-0_111082_2015-01-06_final
2015-01-20 11:35:38	ga_ls8c_ard_3-0-0_113067_2015-01-20_final
2015-01-20 11:37:38	ga_ls8c_ard_3-0-0_113072_2015-01-20_final
2015-01-20 11:38:02	ga_ls8c_ard_3-1-0_113073_2015-01-20_final
2015-01-22 11:27:15	ga_ls8c_ard_3-0-0_111077_2015-01-22_final
2015-01-22 11:27:38	ga_ls8c_ard_3-0-0_111078_2015-01-22_final
2015-01-22 11:28:02	ga_ls8c_ard_3-0-0_111079_2015-01-22_final
2015-01-22 11:28:26	ga_ls8c_ard_3-0-0_111080_2015-01-22_final
2015-01-22 11:28:50	ga_ls8c_ard_3-0-0_111081_2015-01-22_final
2015-01-22 11:29:14	ga_ls8c_ard_3-0-0_111082_2015-01-22_final
2015-02-25 11:17:31	ga_ls8c_ard_3-0-0_109084_2015-02-25_final
2015-02-25 11:17:55	ga_ls8c_ard_3-0-0_109085_2015-02-25_final
2015-03-11 11:26:55	ga_ls8c_ard_3-0-0_111077_2015-03-11_final
2015-03-11 11:27:19	ga_ls8c_ard_3-0-0_111078_2015-03-11_final
2015-03-11 11:27:43	ga_ls8c_ard_3-0-0_111079_2015-03-11_final
2015-03-11 11:28:07	ga_ls8c_ard_3-0-0_111080_2015-03-11_final
2015-03-11 11:28:31	ga_ls8c_ard_3-0-0_111081_2015-03-11_final
2015-03-11 11:28:55	ga_ls8c_ard_3-0-0_111082_2015-03-11_final
2015-04-30 11:16:58	ga_ls8c_ard_3-0-0_109084_2015-04-30_final
2015-05-16 11:16:44	ga_ls8c_ard_3-0-0_109084_2015-05-16_final
2015-05-19 11:40:52	ga_ls8c_ard_3-0-0_114067_2015-05-19_final
2015-06-04 11:41:00	ga_ls8c_ard_3-0-0_114067_2015-06-04_final
2015-06-06 11:30:40	ga_ls8c_ard_3-0-0_112072_2015-06-06_final
2015-06-06 11:31:03	ga_ls8c_ard_3-0-0_112073_2015-06-06_final
2015-06-06 11:31:27	ga_ls8c_ard_3-0-0_112074_2015-06-06_final
2015-06-06 11:31:51	ga_ls8c_ard_3-0-0_112075_2015-06-06_final
2015-06-06 11:32:15	ga_ls8c_ard_3-0-0_112076_2015-06-06_final
2015-06-06 11:32:39	ga_ls8c_ard_3-0-0_112077_2015-06-06_final
2015-06-06 11:33:03	ga_ls8c_ard_3-0-0_112078_2015-06-06_final
2015-08-18 11:27:01	ga_ls8c_ard_3-0-0_111077_2015-08-18_final
2015-08-18 11:27:25	ga_ls8c_ard_3-0-0_111078_2015-08-18_final
2015-08-18 11:27:49	ga_ls8c_ard_3-0-0_111079_2015-08-18_final
2015-08-18 11:28:13	ga_ls8c_ard_3-0-0_111080_2015-08-18_final
2015-08-18 11:28:37	ga_ls8c_ard_3-0-0_111081_2015-08-18_final
2015-08-18 11:29:01	ga_ls8c_ard_3-0-0_111082_2015-08-18_final
2015-09-01 11:35:28	ga_ls8c_ard_3-0-0_113067_2015-09-01_final
2015-09-01 11:37:27	ga_ls8c_ard_3-0-0_113072_2015-09-01_final
2015-09-01 11:37:51	ga_ls8c_ard_3-1-0_113073_2015-09-01_final
2015-09-21 11:17:41	ga_ls8c_ard_3-0-0_109084_2015-09-21_final
2015-09-21 11:18:05	ga_ls8c_ard_3-0-0_109085_2015-09-21_final
2015-11-24 11:17:52	ga_ls8c_ard_3-0-0_109084_2015-11-24_final
2015-11-24 11:18:16	ga_ls8c_ard_3-0-0_109085_2015-11-24_final
2016-01-23 11:35:44	ga_ls8c_ard_3-0-0_113067_2016-01-23_final
2016-01-23 11:37:44	ga_ls8c_ard_3-0-0_113072_2016-01-23_final
2016-04-21 11:31:00	ga_ls8c_ard_3-0-0_112072_2016-04-21_final
2016-04-21 11:31:24	ga_ls8c_ard_3-0-0_112073_2016-04-21_final
2016-04-21 11:31:48	ga_ls8c_ard_3-0-0_112074_2016-04-21_final
2016-04-21 11:32:12	ga_ls8c_ard_3-0-0_112075_2016-04-21_final
2016-04-21 11:32:36	ga_ls8c_ard_3-0-0_112076_2016-04-21_final
2016-04-21 11:33:00	ga_ls8c_ard_3-0-0_112077_2016-04-21_final
2016-04-21 11:33:24	ga_ls8c_ard_3-0-0_112078_2016-04-21_final
2016-05-05 11:41:27	ga_ls8c_ard_3-0-0_114067_2016-05-05_final
2018-02-17 11:17:55	ga_ls8c_ard_3-0-0_109085_2018-02-17_final
2018-03-10 11:31:05	ga_ls8c_ard_3-0-0_112072_2018-03-10_final
2018-03-10 11:31:29	ga_ls8c_ard_3-0-0_112073_2018-03-10_final
2018-03-10 11:31:53	ga_ls8c_ard_3-0-0_112074_2018-03-10_final
2018-03-10 11:32:17	ga_ls8c_ard_3-0-0_112075_2018-03-10_final
2018-03-10 11:32:41	ga_ls8c_ard_3-0-0_112076_2018-03-10_final
2018-03-10 11:33:05	ga_ls8c_ard_3-0-0_112077_2018-03-10_final
2018-03-10 11:33:29	ga_ls8c_ard_3-0-0_112078_2018-03-10_final
2018-04-02 11:35:06	ga_ls8c_ard_3-0-0_113067_2018-04-02_final
2018-04-02 11:37:05	ga_ls8c_ard_3-0-0_113072_2018-04-02_final
2018-04-02 11:37:29	ga_ls8c_ard_3-0-0_113073_2018-04-02_final
2018-04-18 11:34:56	ga_ls8c_ard_3-0-0_113067_2018-04-18_final
2018-04-18 11:36:56	ga_ls8c_ard_3-0-0_113072_2018-04-18_final
2018-04-18 11:37:20	ga_ls8c_ard_3-0-0_113073_2018-04-18_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
2018-04-20 11:28:32	ga_ls8c_ard_3-0-0_111082_2018-04-20_final
2018-05-06 11:26:24	ga_ls8c_ard_3-0-0_111077_2018-05-06_final
2018-05-06 11:26:48	ga_ls8c_ard_3-0-0_111078_2018-05-06_final
2018-05-06 11:27:12	ga_ls8c_ard_3-0-0_111079_2018-05-06_final
2018-05-06 11:27:36	ga_ls8c_ard_3-0-0_111080_2018-05-06_final
2018-05-06 11:28:00	ga_ls8c_ard_3-0-0_111081_2018-05-06_final
2018-05-06 11:28:24	ga_ls8c_ard_3-0-0_111082_2018-05-06_final
2018-05-27 11:40:41	ga_ls8c_ard_3-0-0_114067_2018-05-27_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
2018-06-05 11:36:49	ga_ls8c_ard_3-1-0_113073_2018-06-05_final
2018-07-18 11:21:53	ga_ls8c_ard_3-0-0_110081_2018-07-18_final
2018-07-18 11:22:17	ga_ls8c_ard_3-0-0_110082_2018-07-18_final
2018-07-18 11:22:41	ga_ls8c_ard_3-0-0_110083_2018-07-18_final
2018-07-18 11:23:05	ga_ls8c_ard_3-0-0_110084_2018-07-18_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