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
2014-07-21 11:31:21	ga_ls8c_ard_3-0-0_112072_2014-07-21_final
2014-07-21 11:31:45	ga_ls8c_ard_3-0-0_112073_2014-07-21_final
2014-07-21 11:32:08	ga_ls8c_ard_3-0-0_112074_2014-07-21_final
2014-07-21 11:32:32	ga_ls8c_ard_3-0-0_112075_2014-07-21_final
2014-07-21 11:32:56	ga_ls8c_ard_3-0-0_112076_2014-07-21_final
2014-07-21 11:33:20	ga_ls8c_ard_3-0-0_112077_2014-07-21_final
2014-07-21 11:33:44	ga_ls8c_ard_3-0-0_112078_2014-07-21_final
2014-07-23 11:22:34	ga_ls8c_ard_3-0-0_110081_2014-07-23_final
2014-07-23 11:22:58	ga_ls8c_ard_3-0-0_110082_2014-07-23_final
2014-07-23 11:23:22	ga_ls8c_ard_3-0-0_110083_2014-07-23_final
2014-07-23 11:23:46	ga_ls8c_ard_3-0-0_110084_2014-07-23_final
2014-08-01 11:17:41	ga_ls8c_ard_3-0-0_109084_2014-08-01_final
2014-08-13 11:35:43	ga_ls8c_ard_3-0-0_113067_2014-08-13_final
2014-08-13 11:37:42	ga_ls8c_ard_3-0-0_113072_2014-08-13_final
2014-08-13 11:38:06	ga_ls8c_ard_3-0-0_113073_2014-08-13_final
2014-09-07 11:31:36	ga_ls8c_ard_3-0-0_112072_2014-09-07_final
2014-09-07 11:32:00	ga_ls8c_ard_3-0-0_112073_2014-09-07_final
2014-09-07 11:32:24	ga_ls8c_ard_3-0-0_112074_2014-09-07_final
2014-09-07 11:32:48	ga_ls8c_ard_3-0-0_112075_2014-09-07_final
2014-09-07 11:33:12	ga_ls8c_ard_3-0-0_112076_2014-09-07_final
2014-09-07 11:33:36	ga_ls8c_ard_3-0-0_112077_2014-09-07_final
2014-09-07 11:34:00	ga_ls8c_ard_3-0-0_112078_2014-09-07_final
2014-09-30 11:35:48	ga_ls8c_ard_3-0-0_113067_2014-09-30_final
2014-09-30 11:37:48	ga_ls8c_ard_3-0-0_113072_2014-09-30_final
2014-09-30 11:38:12	ga_ls8c_ard_3-0-0_113073_2014-09-30_final
2014-10-04 11:17:54	ga_ls8c_ard_3-0-0_109084_2014-10-04_final
2014-10-16 11:35:53	ga_ls8c_ard_3-0-0_113067_2014-10-16_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
2014-10-18 11:27:31	ga_ls8c_ard_3-0-0_111077_2014-10-18_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
2014-10-27 11:22:53	ga_ls8c_ard_3-0-0_110081_2014-10-27_final
2014-10-27 11:23:17	ga_ls8c_ard_3-0-0_110082_2014-10-27_final
2014-10-27 11:23:41	ga_ls8c_ard_3-0-0_110083_2014-10-27_final
2014-10-27 11:24:05	ga_ls8c_ard_3-0-0_110084_2014-10-27_final
2014-11-17 11:35:51	ga_ls8c_ard_3-0-0_113067_2014-11-17_final
2014-11-17 11:37:51	ga_ls8c_ard_3-0-0_113072_2014-11-17_final
2014-11-17 11:38:15	ga_ls8c_ard_3-0-0_113073_2014-11-17_final
2016-05-14 11:35:12	ga_ls8c_ard_3-0-0_113067_2016-05-14_final
2016-05-14 11:37:11	ga_ls8c_ard_3-0-0_113072_2016-05-14_final
2016-05-14 11:37:35	ga_ls8c_ard_3-0-0_113073_2016-05-14_final
2016-06-22 11:41:36	ga_ls8c_ard_3-0-0_114067_2016-06-22_final
2016-06-24 11:31:15	ga_ls8c_ard_3-0-0_112072_2016-06-24_final
2016-06-24 11:31:39	ga_ls8c_ard_3-0-0_112073_2016-06-24_final
2016-06-24 11:32:03	ga_ls8c_ard_3-0-0_112074_2016-06-24_final
2016-06-24 11:32:27	ga_ls8c_ard_3-0-0_112075_2016-06-24_final
2016-06-24 11:32:51	ga_ls8c_ard_3-0-0_112076_2016-06-24_final
2016-06-24 11:33:14	ga_ls8c_ard_3-0-0_112077_2016-06-24_final
2016-06-24 11:33:38	ga_ls8c_ard_3-0-0_112078_2016-06-24_final
2016-07-05 11:17:36	ga_ls8c_ard_3-0-0_109084_2016-07-05_final
2016-07-05 11:18:00	ga_ls8c_ard_3-0-0_109085_2016-07-05_final
2016-07-17 11:35:37	ga_ls8c_ard_3-0-0_113067_2016-07-17_final
2016-07-17 11:37:37	ga_ls8c_ard_3-0-0_113072_2016-07-17_final
2016-07-17 11:38:01	ga_ls8c_ard_3-0-0_113073_2016-07-17_final
2016-08-02 11:35:40	ga_ls8c_ard_3-0-0_113067_2016-08-02_final
2016-08-02 11:37:40	ga_ls8c_ard_3-0-0_113072_2016-08-02_final
2016-08-02 11:38:04	ga_ls8c_ard_3-1-0_113073_2016-08-02_final
2018-12-23 11:31:21	ga_ls8c_ard_3-0-0_112072_2018-12-23_final
2018-12-23 11:31:45	ga_ls8c_ard_3-0-0_112073_2018-12-23_final
2018-12-23 11:32:09	ga_ls8c_ard_3-0-0_112074_2018-12-23_final
2018-12-23 11:32:32	ga_ls8c_ard_3-0-0_112075_2018-12-23_final
2018-12-23 11:32:56	ga_ls8c_ard_3-0-0_112076_2018-12-23_final
2018-12-23 11:33:20	ga_ls8c_ard_3-0-0_112077_2018-12-23_final
2018-12-23 11:33:44	ga_ls8c_ard_3-0-0_112078_2018-12-23_final
2018-12-25 11:22:35	ga_ls8c_ard_3-0-0_110081_2018-12-25_final
2018-12-25 11:22:58	ga_ls8c_ard_3-0-0_110082_2018-12-25_final
2018-12-25 11:23:22	ga_ls8c_ard_3-0-0_110083_2018-12-25_final
2018-12-25 11:23:46	ga_ls8c_ard_3-0-0_110084_2018-12-25_final
2018-12-25 11:24:10	ga_ls8c_ard_3-0-0_110085_2018-12-25_final
2019-06-19 11:22:33	ga_ls8c_ard_3-1-0_110081_2019-06-19_final
2019-06-19 11:22:57	ga_ls8c_ard_3-1-0_110082_2019-06-19_final
2019-06-19 11:23:21	ga_ls8c_ard_3-1-0_110083_2019-06-19_final
2019-06-19 11:23:45	ga_ls8c_ard_3-1-0_110084_2019-06-19_final
2019-06-19 11:24:09	ga_ls8c_ard_3-1-0_110085_2019-06-19_final
2019-09-12 11:35:55	ga_ls8c_ard_3-1-0_113067_2019-09-12_final
2019-09-12 11:37:30	ga_ls8c_ard_3-1-0_113071_2019-09-12_final
2019-09-12 11:37:54	ga_ls8c_ard_3-1-0_113072_2019-09-12_final
2019-09-12 11:38:18	ga_ls8c_ard_3-1-0_113073_2019-09-12_final
2019-09-23 11:23:01	ga_ls8c_ard_3-1-0_110081_2019-09-23_final
2019-09-23 11:23:25	ga_ls8c_ard_3-1-0_110082_2019-09-23_final
2019-09-23 11:23:49	ga_ls8c_ard_3-1-0_110083_2019-09-23_final
2019-09-23 11:24:13	ga_ls8c_ard_3-1-0_110084_2019-09-23_final
2019-09-23 11:24:37	ga_ls8c_ard_3-1-0_110085_2019-09-23_final
2019-11-01 11:27:40	ga_ls8c_ard_3-1-0_111077_2019-11-01_final
2019-11-01 11:28:04	ga_ls8c_ard_3-1-0_111078_2019-11-01_final
2019-11-01 11:28:28	ga_ls8c_ard_3-1-0_111079_2019-11-01_final
2019-11-01 11:28:52	ga_ls8c_ard_3-1-0_111080_2019-11-01_final
2019-11-01 11:29:16	ga_ls8c_ard_3-1-0_111081_2019-11-01_final
2019-11-01 11:29:40	ga_ls8c_ard_3-1-0_111082_2019-11-01_final
2019-12-01 11:35:58	ga_ls8c_ard_3-1-0_113067_2019-12-01_final
2020-01-04 11:27:29	ga_ls8c_ard_3-1-0_111077_2020-01-04_final
2020-01-04 11:27:53	ga_ls8c_ard_3-1-0_111078_2020-01-04_final
2020-01-04 11:28:17	ga_ls8c_ard_3-1-0_111079_2020-01-04_final
2020-01-04 11:28:41	ga_ls8c_ard_3-1-0_111080_2020-01-04_final
2020-01-04 11:29:05	ga_ls8c_ard_3-1-0_111081_2020-01-04_final
2020-01-04 11:29:29	ga_ls8c_ard_3-1-0_111082_2020-01-04_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