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
2013-07-18 11:33:50	ga_ls8c_ard_3-0-0_112073_2013-07-18_final
2013-07-18 11:34:14	ga_ls8c_ard_3-0-0_112074_2013-07-18_final
2013-07-18 11:34:38	ga_ls8c_ard_3-0-0_112075_2013-07-18_final
2013-07-18 11:35:02	ga_ls8c_ard_3-0-0_112076_2013-07-18_final
2013-07-18 11:35:26	ga_ls8c_ard_3-0-0_112077_2013-07-18_final
2013-07-18 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-07-18_final
2013-07-20 11:24:39	ga_ls8c_ard_3-0-0_110081_2013-07-20_final
2013-07-20 11:25:03	ga_ls8c_ard_3-0-0_110082_2013-07-20_final
2013-07-20 11:25:27	ga_ls8c_ard_3-0-0_110083_2013-07-20_final
2013-07-20 11:25:51	ga_ls8c_ard_3-0-0_110084_2013-07-20_final
2013-08-05 11:24:43	ga_ls8c_ard_3-0-0_110081_2013-08-05_final
2013-08-05 11:25:06	ga_ls8c_ard_3-0-0_110082_2013-08-05_final
2013-08-05 11:25:30	ga_ls8c_ard_3-0-0_110083_2013-08-05_final
2013-08-05 11:25:54	ga_ls8c_ard_3-0-0_110084_2013-08-05_final
2013-08-19 11:33:53	ga_ls8c_ard_3-0-0_112073_2013-08-19_final
2013-08-19 11:34:17	ga_ls8c_ard_3-0-0_112074_2013-08-19_final
2013-08-19 11:34:41	ga_ls8c_ard_3-0-0_112075_2013-08-19_final
2013-08-19 11:35:05	ga_ls8c_ard_3-0-0_112076_2013-08-19_final
2013-08-19 11:35:29	ga_ls8c_ard_3-0-0_112077_2013-08-19_final
2013-08-19 11:35:53	ga_ls8c_ard_3-0-0_112078_2013-08-19_final
2013-08-21 11:24:44	ga_ls8c_ard_3-0-0_110081_2013-08-21_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
2013-08-28 11:28:56	ga_ls8c_ard_3-0-0_111076_2013-08-28_final
2013-08-28 11:29:20	ga_ls8c_ard_3-0-0_111077_2013-08-28_final
2013-08-28 11:29:44	ga_ls8c_ard_3-0-0_111078_2013-08-28_final
2017-12-18 11:42:01	ga_ls8c_ard_3-0-0_114067_2017-12-18_final
2018-01-03 11:41:58	ga_ls8c_ard_3-0-0_114067_2018-01-03_final
2018-10-06 11:22:29	ga_ls8c_ard_3-0-0_110081_2018-10-06_final
2018-10-06 11:22:52	ga_ls8c_ard_3-0-0_110082_2018-10-06_final
2018-10-06 11:23:16	ga_ls8c_ard_3-0-0_110083_2018-10-06_final
2018-10-06 11:23:40	ga_ls8c_ard_3-0-0_110084_2018-10-06_final
2018-10-06 11:24:04	ga_ls8c_ard_3-0-0_110085_2018-10-06_final
2018-11-05 11:31:24	ga_ls8c_ard_3-0-0_112072_2018-11-05_final
2018-11-05 11:31:47	ga_ls8c_ard_3-0-0_112073_2018-11-05_final
2018-11-05 11:32:11	ga_ls8c_ard_3-0-0_112074_2018-11-05_final
2018-11-05 11:32:35	ga_ls8c_ard_3-0-0_112075_2018-11-05_final
2018-11-05 11:32:59	ga_ls8c_ard_3-0-0_112076_2018-11-05_final
2018-11-05 11:33:23	ga_ls8c_ard_3-0-0_112077_2018-11-05_final
2018-11-05 11:33:47	ga_ls8c_ard_3-0-0_112078_2018-11-05_final
2018-11-07 11:22:38	ga_ls8c_ard_3-0-0_110081_2018-11-07_final
2018-11-07 11:23:02	ga_ls8c_ard_3-0-0_110082_2018-11-07_final
2018-11-07 11:23:26	ga_ls8c_ard_3-0-0_110083_2018-11-07_final
2018-11-07 11:23:49	ga_ls8c_ard_3-0-0_110084_2018-11-07_final
2018-11-07 11:24:13	ga_ls8c_ard_3-0-0_110085_2018-11-07_final
2021-10-03 11:36:01	ga_ls8c_ard_3-2-0_113067_2021-10-03_final
2021-10-03 11:38:01	ga_ls8c_ard_3-2-0_113072_2021-10-03_final
2021-10-03 11:38:25	ga_ls8c_ard_3-2-0_113073_2021-10-03_final
2021-10-05 11:27:16	ga_ls8c_ard_3-2-0_111076_2021-10-05_final
2021-10-05 11:27:40	ga_ls8c_ard_3-2-0_111077_2021-10-05_final
2021-10-05 11:28:04	ga_ls8c_ard_3-2-0_111078_2021-10-05_final
2021-10-05 11:28:28	ga_ls8c_ard_3-2-0_111079_2021-10-05_final
2021-10-05 11:28:52	ga_ls8c_ard_3-2-0_111080_2021-10-05_final
2021-10-05 11:29:16	ga_ls8c_ard_3-2-0_111081_2021-10-05_final
2021-10-05 11:29:40	ga_ls8c_ard_3-2-0_111082_2021-10-05_final
2021-10-07 11:18:06	ga_ls8c_ard_3-2-0_109084_2021-10-07_final
2021-10-07 11:18:30	ga_ls8c_ard_3-2-0_109085_2021-10-07_final
2021-10-19 11:36:05	ga_ls8c_ard_3-2-0_113067_2021-10-19_final
2021-10-19 11:38:05	ga_ls8c_ard_3-2-0_113072_2021-10-19_final
2021-10-19 11:38:29	ga_ls8c_ard_3-2-0_113073_2021-10-19_final
2021-10-21 11:27:19	ga_ls8c_ard_3-2-0_111076_2021-10-21_final
2021-10-21 11:27:43	ga_ls8c_ard_3-2-0_111077_2021-10-21_final
2021-10-21 11:28:07	ga_ls8c_ard_3-2-0_111078_2021-10-21_final
2021-10-21 11:28:31	ga_ls8c_ard_3-2-0_111079_2021-10-21_final
2021-10-21 11:28:55	ga_ls8c_ard_3-2-0_111080_2021-10-21_final
2021-10-21 11:29:19	ga_ls8c_ard_3-2-0_111081_2021-10-21_final
2021-10-21 11:29:43	ga_ls8c_ard_3-2-0_111082_2021-10-21_final
2021-10-23 11:18:09	ga_ls8c_ard_3-2-0_109084_2021-10-23_final
2021-10-23 11:18:33	ga_ls8c_ard_3-2-0_109085_2021-10-23_final
2022-06-25 11:31:42	ga_ls8c_ard_3-2-1_112072_2022-06-25_final
2022-06-25 11:32:06	ga_ls8c_ard_3-2-1_112073_2022-06-25_final
2022-06-25 11:32:30	ga_ls8c_ard_3-2-1_112074_2022-06-25_final
2022-06-25 11:32:54	ga_ls8c_ard_3-2-1_112075_2022-06-25_final
2022-06-25 11:33:18	ga_ls8c_ard_3-2-1_112076_2022-06-25_final
2022-06-25 11:33:42	ga_ls8c_ard_3-2-1_112077_2022-06-25_final
2022-06-27 11:22:56	ga_ls8c_ard_3-2-1_110081_2022-06-27_final
2022-06-27 11:23:20	ga_ls8c_ard_3-2-1_110082_2022-06-27_final
2022-06-27 11:23:44	ga_ls8c_ard_3-2-1_110083_2022-06-27_final
2022-06-27 11:24:08	ga_ls8c_ard_3-2-1_110084_2022-06-27_final
2022-06-27 11:24:32	ga_ls8c_ard_3-2-1_110085_2022-06-27_final
2022-07-11 11:31:42	ga_ls8c_ard_3-2-1_112072_2022-07-11_final
2022-07-11 11:32:06	ga_ls8c_ard_3-2-1_112073_2022-07-11_final
2022-07-11 11:32:30	ga_ls8c_ard_3-2-1_112074_2022-07-11_final
2022-07-11 11:32:54	ga_ls8c_ard_3-2-1_112075_2022-07-11_final
2022-07-11 11:33:18	ga_ls8c_ard_3-2-1_112076_2022-07-11_final
2022-07-11 11:33:42	ga_ls8c_ard_3-2-1_112077_2022-07-11_final
2022-07-11 11:34:06	ga_ls8c_ard_3-2-1_112078_2022-07-11_final
2022-07-18 11:37:54	ga_ls8c_ard_3-2-1_113072_2022-07-18_final
2022-07-18 11:38:18	ga_ls8c_ard_3-2-1_113073_2022-07-18_final
2022-07-27 11:31:50	ga_ls8c_ard_3-2-1_112072_2022-07-27_final
2022-07-27 11:32:14	ga_ls8c_ard_3-2-1_112073_2022-07-27_final
2022-07-27 11:32:38	ga_ls8c_ard_3-2-1_112074_2022-07-27_final
2022-07-27 11:33:02	ga_ls8c_ard_3-2-1_112075_2022-07-27_final
2022-07-27 11:33:26	ga_ls8c_ard_3-2-1_112076_2022-07-27_final
2022-07-27 11:33:50	ga_ls8c_ard_3-2-1_112077_2022-07-27_final
2022-07-29 11:23:06	ga_ls8c_ard_3-2-1_110081_2022-07-29_final
2022-07-29 11:23:29	ga_ls8c_ard_3-2-1_110082_2022-07-29_final
2022-07-29 11:23:53	ga_ls8c_ard_3-2-1_110083_2022-07-29_final
2022-07-29 11:24:17	ga_ls8c_ard_3-2-1_110084_2022-07-29_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