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
2015-12-24 11:27:25	ga_ls8c_ard_3-0-0_111077_2015-12-24_final
2015-12-24 11:27:49	ga_ls8c_ard_3-0-0_111078_2015-12-24_final
2015-12-24 11:28:13	ga_ls8c_ard_3-0-0_111079_2015-12-24_final
2015-12-24 11:28:37	ga_ls8c_ard_3-0-0_111080_2015-12-24_final
2015-12-24 11:29:01	ga_ls8c_ard_3-0-0_111081_2015-12-24_final
2015-12-24 11:29:25	ga_ls8c_ard_3-0-0_111082_2015-12-24_final
2015-12-24 11:29:49	ga_ls8c_ard_3-0-0_111083_2015-12-24_final
2016-01-11 11:18:11	ga_ls8c_ard_3-0-0_109085_2016-01-11_final
2016-01-27 11:18:11	ga_ls8c_ard_3-0-0_109085_2016-01-27_final
2016-04-16 11:17:42	ga_ls8c_ard_3-0-0_109085_2016-04-16_final
2016-05-07 11:31:28	ga_ls8c_ard_3-0-0_112073_2016-05-07_final
2016-05-07 11:31:51	ga_ls8c_ard_3-0-0_112074_2016-05-07_final
2016-05-07 11:32:15	ga_ls8c_ard_3-0-0_112075_2016-05-07_final
2016-05-07 11:32:39	ga_ls8c_ard_3-0-0_112076_2016-05-07_final
2016-05-07 11:33:03	ga_ls8c_ard_3-0-0_112077_2016-05-07_final
2016-05-07 11:33:27	ga_ls8c_ard_3-0-0_112078_2016-05-07_final
2018-02-20 11:41:37	ga_ls8c_ard_3-0-0_114067_2018-02-20_final
2018-02-22 11:31:38	ga_ls8c_ard_3-0-0_112073_2018-02-22_final
2018-02-22 11:32:02	ga_ls8c_ard_3-0-0_112074_2018-02-22_final
2018-02-22 11:32:25	ga_ls8c_ard_3-0-0_112075_2018-02-22_final
2018-02-22 11:32:49	ga_ls8c_ard_3-0-0_112076_2018-02-22_final
2018-02-22 11:33:13	ga_ls8c_ard_3-0-0_112077_2018-02-22_final
2018-02-22 11:33:37	ga_ls8c_ard_3-0-0_112078_2018-02-22_final
2018-02-22 11:34:01	ga_ls8c_ard_3-0-0_112079_2018-02-22_final
2018-03-03 11:26:58	ga_ls8c_ard_3-0-0_111077_2018-03-03_final
2018-03-03 11:27:22	ga_ls8c_ard_3-0-0_111078_2018-03-03_final
2018-03-03 11:27:46	ga_ls8c_ard_3-0-0_111079_2018-03-03_final
2018-03-03 11:28:10	ga_ls8c_ard_3-0-0_111080_2018-03-03_final
2018-03-03 11:28:34	ga_ls8c_ard_3-0-0_111081_2018-03-03_final
2018-03-03 11:28:58	ga_ls8c_ard_3-0-0_111082_2018-03-03_final
2018-03-03 11:29:22	ga_ls8c_ard_3-0-0_111083_2018-03-03_final
2018-03-17 11:37:12	ga_ls8c_ard_3-0-0_113072_2018-03-17_final
2018-03-17 11:37:36	ga_ls8c_ard_3-0-0_113073_2018-03-17_final
2018-03-17 11:38:00	ga_ls8c_ard_3-0-0_113074_2018-03-17_final
2018-03-19 11:26:49	ga_ls8c_ard_3-0-0_111077_2018-03-19_final
2018-03-19 11:27:13	ga_ls8c_ard_3-0-0_111078_2018-03-19_final
2018-03-19 11:27:37	ga_ls8c_ard_3-0-0_111079_2018-03-19_final
2018-03-19 11:28:01	ga_ls8c_ard_3-0-0_111080_2018-03-19_final
2018-03-19 11:28:25	ga_ls8c_ard_3-0-0_111081_2018-03-19_final
2018-03-19 11:28:49	ga_ls8c_ard_3-0-0_111082_2018-03-19_final
2018-03-19 11:29:13	ga_ls8c_ard_3-0-0_111083_2018-03-19_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
2018-04-02 11:37:53	ga_ls8c_ard_3-0-0_113074_2018-04-02_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
2018-05-06 11:28:48	ga_ls8c_ard_3-0-0_111083_2018-05-06_final
2018-07-07 11:36:45	ga_ls8c_ard_3-0-0_113072_2018-07-07_final
2018-07-07 11:37:09	ga_ls8c_ard_3-0-0_113073_2018-07-07_final
2018-07-07 11:37:33	ga_ls8c_ard_3-0-0_113074_2018-07-07_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
2018-07-18 11:23:29	ga_ls8c_ard_3-0-0_110085_2018-07-18_final
2019-07-10 11:37:11	ga_ls8c_ard_3-1-0_113071_2019-07-10_final
2019-07-10 11:37:35	ga_ls8c_ard_3-1-0_113072_2019-07-10_final
2019-07-10 11:37:59	ga_ls8c_ard_3-1-0_113073_2019-07-10_final
2019-07-10 11:38:23	ga_ls8c_ard_3-1-0_113074_2019-07-10_final
2019-08-02 11:41:54	ga_ls8c_ard_3-1-0_114067_2019-08-02_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
2019-08-27 11:37:26	ga_ls8c_ard_3-1-0_113071_2019-08-27_final
2019-08-27 11:37:50	ga_ls8c_ard_3-1-0_113072_2019-08-27_final
2019-08-27 11:38:14	ga_ls8c_ard_3-1-0_113073_2019-08-27_final
2019-08-27 11:38:38	ga_ls8c_ard_3-1-0_113074_2019-08-27_final
2019-09-05 11:32:05	ga_ls8c_ard_3-1-0_112073_2019-09-05_final
2019-09-05 11:32:28	ga_ls8c_ard_3-1-0_112074_2019-09-05_final
2019-09-19 11:42:08	ga_ls8c_ard_3-1-0_114067_2019-09-19_final
2019-09-21 11:32:10	ga_ls8c_ard_3-1-0_112073_2019-09-21_final
2019-09-21 11:32:34	ga_ls8c_ard_3-1-0_112074_2019-09-21_final
2019-09-21 11:32:58	ga_ls8c_ard_3-1-0_112075_2019-09-21_final
2019-09-21 11:33:22	ga_ls8c_ard_3-1-0_112076_2019-09-21_final
2019-09-21 11:33:46	ga_ls8c_ard_3-1-0_112077_2019-09-21_final
2019-09-21 11:34:10	ga_ls8c_ard_3-1-0_112078_2019-09-21_final
2019-09-28 11:37:35	ga_ls8c_ard_3-1-0_113071_2019-09-28_final
2019-09-28 11:37:59	ga_ls8c_ard_3-1-0_113072_2019-09-28_final
2019-09-28 11:38:23	ga_ls8c_ard_3-1-0_113073_2019-09-28_final
2019-09-28 11:38:47	ga_ls8c_ard_3-1-0_113074_2019-09-28_final
2019-10-05 11:42:12	ga_ls8c_ard_3-1-0_114067_2019-10-05_final
2019-10-07 11:32:14	ga_ls8c_ard_3-1-0_112073_2019-10-07_final
2019-10-07 11:32:38	ga_ls8c_ard_3-1-0_112074_2019-10-07_final
2019-10-07 11:33:02	ga_ls8c_ard_3-1-0_112075_2019-10-07_final
2019-10-07 11:33:26	ga_ls8c_ard_3-1-0_112076_2019-10-07_final
2019-10-07 11:33:50	ga_ls8c_ard_3-1-0_112077_2019-10-07_final
2019-10-07 11:34:14	ga_ls8c_ard_3-1-0_112078_2019-10-07_final
2019-11-06 11:42:13	ga_ls8c_ard_3-1-0_114067_2019-11-06_final
2019-11-08 11:32:14	ga_ls8c_ard_3-1-0_112073_2019-11-08_final
2019-11-08 11:32:38	ga_ls8c_ard_3-1-0_112074_2019-11-08_final
2019-11-08 11:33:02	ga_ls8c_ard_3-1-0_112075_2019-11-08_final
2019-11-08 11:33:26	ga_ls8c_ard_3-1-0_112076_2019-11-08_final
2019-11-08 11:33:50	ga_ls8c_ard_3-1-0_112077_2019-11-08_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