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
2015-12-22 11:35:48	ga_ls8c_ard_3-0-0_113067_2015-12-22_final
2015-12-22 11:37:47	ga_ls8c_ard_3-0-0_113072_2015-12-22_final
2015-12-22 11:38:11	ga_ls8c_ard_3-0-0_113073_2015-12-22_final
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
2015-12-26 11:18:15	ga_ls8c_ard_3-0-0_109085_2015-12-26_final
2016-02-08 11:35:40	ga_ls8c_ard_3-0-0_113067_2016-02-08_final
2016-02-08 11:37:39	ga_ls8c_ard_3-0-0_113072_2016-02-08_final
2016-02-08 11:38:03	ga_ls8c_ard_3-0-0_113073_2016-02-08_final
2016-02-10 11:27:16	ga_ls8c_ard_3-0-0_111077_2016-02-10_final
2016-02-10 11:27:40	ga_ls8c_ard_3-0-0_111078_2016-02-10_final
2016-02-10 11:28:04	ga_ls8c_ard_3-0-0_111079_2016-02-10_final
2016-02-10 11:28:28	ga_ls8c_ard_3-0-0_111080_2016-02-10_final
2016-02-10 11:28:52	ga_ls8c_ard_3-0-0_111081_2016-02-10_final
2016-02-10 11:29:16	ga_ls8c_ard_3-0-0_111082_2016-02-10_final
2016-03-27 11:35:22	ga_ls8c_ard_3-0-0_113067_2016-03-27_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
2016-03-29 11:26:58	ga_ls8c_ard_3-0-0_111077_2016-03-29_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
2016-04-14 11:26:53	ga_ls8c_ard_3-0-0_111077_2016-04-14_final
2016-04-14 11:27:16	ga_ls8c_ard_3-0-0_111078_2016-04-14_final
2016-04-14 11:27:40	ga_ls8c_ard_3-0-0_111079_2016-04-14_final
2016-04-14 11:28:04	ga_ls8c_ard_3-0-0_111080_2016-04-14_final
2016-04-14 11:28:28	ga_ls8c_ard_3-0-0_111081_2016-04-14_final
2016-04-14 11:28:52	ga_ls8c_ard_3-0-0_111082_2016-04-14_final
2016-10-21 11:36:00	ga_ls8c_ard_3-0-0_113067_2016-10-21_final
2016-10-21 11:38:00	ga_ls8c_ard_3-0-0_113072_2016-10-21_final
2016-10-21 11:38:23	ga_ls8c_ard_3-1-0_113073_2016-10-21_final
2016-11-17 11:23:02	ga_ls8c_ard_3-0-0_110081_2016-11-17_final
2016-11-17 11:23:26	ga_ls8c_ard_3-0-0_110082_2016-11-17_final
2016-11-17 11:23:50	ga_ls8c_ard_3-0-0_110083_2016-11-17_final
2016-11-17 11:24:14	ga_ls8c_ard_3-0-0_110084_2016-11-17_final
2016-11-17 11:24:38	ga_ls8c_ard_3-0-0_110085_2016-11-17_final
2017-01-20 11:22:50	ga_ls8c_ard_3-0-0_110081_2017-01-20_final
2017-01-20 11:23:14	ga_ls8c_ard_3-0-0_110082_2017-01-20_final
2017-01-20 11:23:38	ga_ls8c_ard_3-0-0_110083_2017-01-20_final
2017-01-20 11:24:02	ga_ls8c_ard_3-0-0_110084_2017-01-20_final
2017-01-20 11:24:26	ga_ls8c_ard_3-0-0_110085_2017-01-20_final
2017-03-09 11:22:29	ga_ls8c_ard_3-0-0_110081_2017-03-09_final
2017-03-09 11:22:53	ga_ls8c_ard_3-0-0_110082_2017-03-09_final
2017-03-09 11:23:17	ga_ls8c_ard_3-0-0_110083_2017-03-09_final
2017-03-09 11:23:41	ga_ls8c_ard_3-0-0_110084_2017-03-09_final
2017-03-09 11:24:05	ga_ls8c_ard_3-0-0_110085_2017-03-09_final
2017-04-19 11:17:32	ga_ls8c_ard_3-0-0_109085_2017-04-19_final
2018-02-20 11:41:37	ga_ls8c_ard_3-0-0_114067_2018-02-20_final
2018-02-22 11:31:14	ga_ls8c_ard_3-0-0_112072_2018-02-22_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
2018-02-24 11:22:27	ga_ls8c_ard_3-0-0_110081_2018-02-24_final
2018-02-24 11:22:50	ga_ls8c_ard_3-0-0_110082_2018-02-24_final
2018-02-24 11:23:14	ga_ls8c_ard_3-0-0_110083_2018-02-24_final
2018-02-24 11:23:38	ga_ls8c_ard_3-0-0_110084_2018-02-24_final
2018-02-24 11:24:02	ga_ls8c_ard_3-0-0_110085_2018-02-24_final
2018-07-02 11:21:46	ga_ls8c_ard_3-0-0_110081_2018-07-02_final
2018-07-02 11:22:10	ga_ls8c_ard_3-0-0_110082_2018-07-02_final
2018-07-02 11:22:34	ga_ls8c_ard_3-0-0_110083_2018-07-02_final
2018-07-02 11:22:58	ga_ls8c_ard_3-0-0_110084_2018-07-02_final
2018-07-02 11:23:22	ga_ls8c_ard_3-0-0_110085_2018-07-02_final
2020-05-29 11:17:11	ga_ls8c_ard_3-1-0_109084_2020-05-29_final
2020-05-29 11:17:35	ga_ls8c_ard_3-1-0_109085_2020-05-29_final
2020-06-01 11:41:20	ga_ls8c_ard_3-1-0_114067_2020-06-01_final
2020-06-03 11:30:59	ga_ls8c_ard_3-1-0_112072_2020-06-03_final
2020-06-03 11:31:23	ga_ls8c_ard_3-1-0_112073_2020-06-03_final
2020-06-03 11:31:47	ga_ls8c_ard_3-1-0_112074_2020-06-03_final
2020-06-03 11:32:11	ga_ls8c_ard_3-1-0_112075_2020-06-03_final
2020-06-03 11:32:35	ga_ls8c_ard_3-1-0_112076_2020-06-03_final
2020-06-03 11:32:59	ga_ls8c_ard_3-1-0_112077_2020-06-03_final
2020-06-03 11:33:23	ga_ls8c_ard_3-1-0_112078_2020-06-03_final
2020-06-10 11:35:15	ga_ls8c_ard_3-1-0_113067_2020-06-10_final
2020-06-10 11:37:15	ga_ls8c_ard_3-1-0_113072_2020-06-10_final
2020-06-10 11:37:39	ga_ls8c_ard_3-1-0_113073_2020-06-10_final
2020-06-19 11:31:09	ga_ls8c_ard_3-1-0_112072_2020-06-19_final
2020-06-19 11:31:33	ga_ls8c_ard_3-1-0_112073_2020-06-19_final
2020-06-19 11:31:57	ga_ls8c_ard_3-1-0_112074_2020-06-19_final
2020-06-19 11:32:21	ga_ls8c_ard_3-1-0_112075_2020-06-19_final
2020-07-03 11:41:38	ga_ls8c_ard_3-1-0_114067_2020-07-03_final
2020-07-05 11:31:17	ga_ls8c_ard_3-1-0_112072_2020-07-05_final
2020-07-05 11:31:40	ga_ls8c_ard_3-1-0_112073_2020-07-05_final
2020-07-05 11:32:04	ga_ls8c_ard_3-1-0_112074_2020-07-05_final
2020-07-05 11:32:28	ga_ls8c_ard_3-1-0_112075_2020-07-05_final
2020-07-05 11:32:52	ga_ls8c_ard_3-1-0_112076_2020-07-05_final
2020-07-05 11:33:16	ga_ls8c_ard_3-1-0_112077_2020-07-05_final
2020-07-05 11:33:40	ga_ls8c_ard_3-1-0_112078_2020-07-05_final
2020-07-23 11:22:37	ga_ls8c_ard_3-1-0_110081_2020-07-23_final
2020-07-23 11:23:01	ga_ls8c_ard_3-1-0_110082_2020-07-23_final
2020-07-23 11:23:24	ga_ls8c_ard_3-1-0_110083_2020-07-23_final
2020-07-23 11:23:48	ga_ls8c_ard_3-1-0_110084_2020-07-23_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