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
2013-04-15 11:20:32	ga_ls8c_ard_3-0-0_110071_2013-04-15_final
2013-04-17 11:09:21	ga_ls8c_ard_3-0-0_108074_2013-04-17_final
2013-04-17 11:09:45	ga_ls8c_ard_3-0-0_108075_2013-04-17_final
2013-04-17 11:10:09	ga_ls8c_ard_3-0-0_108076_2013-04-17_final
2013-04-17 11:10:33	ga_ls8c_ard_3-0-0_108077_2013-04-17_final
2013-04-17 11:10:57	ga_ls8c_ard_3-0-0_108078_2013-04-17_final
2013-04-17 11:11:21	ga_ls8c_ard_3-0-0_108079_2013-04-17_final
2013-04-17 11:11:45	ga_ls8c_ard_3-0-0_108080_2013-04-17_final
2013-09-06 11:19:09	ga_ls8c_ard_3-0-0_110067_2013-09-06_final
2013-09-06 11:20:44	ga_ls8c_ard_3-0-0_110071_2013-09-06_final
2014-02-24 11:04:06	ga_ls8c_ard_3-0-0_107079_2014-02-24_final
2015-01-17 11:07:33	ga_ls8c_ard_3-0-0_108074_2015-01-17_final
2015-01-17 11:07:57	ga_ls8c_ard_3-0-0_108075_2015-01-17_final
2015-01-17 11:08:21	ga_ls8c_ard_3-0-0_108076_2015-01-17_final
2015-01-17 11:08:45	ga_ls8c_ard_3-0-0_108077_2015-01-17_final
2015-01-17 11:09:09	ga_ls8c_ard_3-0-0_108078_2015-01-17_final
2015-01-17 11:09:33	ga_ls8c_ard_3-0-0_108079_2015-01-17_final
2015-01-17 11:09:57	ga_ls8c_ard_3-0-0_108080_2015-01-17_final
2015-01-19 10:58:46	ga_ls8c_ard_3-0-0_106083_2015-01-19_final
2015-02-20 10:58:35	ga_ls8c_ard_3-0-0_106083_2015-02-20_final
2015-02-20 10:58:59	ga_ls8c_ard_3-0-0_106084_2015-02-20_final
2015-04-25 10:58:06	ga_ls8c_ard_3-0-0_106083_2015-04-25_final
2015-04-25 10:58:30	ga_ls8c_ard_3-0-0_106084_2015-04-25_final
2015-06-12 10:58:02	ga_ls8c_ard_3-0-0_106083_2015-06-12_final
2015-06-12 10:58:26	ga_ls8c_ard_3-0-0_106084_2015-06-12_final
2023-02-01 11:03:45	ga_ls8c_ard_3-2-1_107079_2023-02-01_final
2023-02-01 11:04:08	ga_ls8c_ard_3-2-1_107080_2023-02-01_final
2023-02-01 11:04:32	ga_ls8c_ard_3-2-1_107081_2023-02-01_final
2023-02-01 11:04:56	ga_ls8c_ard_3-2-1_107082_2023-02-01_final
2023-02-01 11:05:20	ga_ls8c_ard_3-2-1_107083_2023-02-01_final
2023-02-01 11:05:44	ga_ls8c_ard_3-2-1_107084_2023-02-01_final
2023-03-12 11:07:31	ga_ls8c_ard_3-2-1_108074_2023-03-12_final
2023-03-12 11:07:55	ga_ls8c_ard_3-2-1_108075_2023-03-12_final
2023-03-12 11:08:19	ga_ls8c_ard_3-2-1_108076_2023-03-12_final
2023-03-12 11:08:43	ga_ls8c_ard_3-2-1_108077_2023-03-12_final
2023-03-12 11:09:07	ga_ls8c_ard_3-2-1_108078_2023-03-12_final
2023-03-12 11:09:31	ga_ls8c_ard_3-2-1_108079_2023-03-12_final
2023-03-12 11:09:55	ga_ls8c_ard_3-2-1_108080_2023-03-12_final
2023-03-14 10:58:45	ga_ls8c_ard_3-2-1_106083_2023-03-14_final
2023-03-19 11:12:03	ga_ls8c_ard_3-2-1_109070_2023-03-19_final
2023-03-19 11:12:27	ga_ls8c_ard_3-2-1_109071_2023-03-19_final
2023-03-19 11:12:50	ga_ls8c_ard_3-2-1_109072_2023-03-19_final
2023-03-19 11:13:14	ga_ls8c_ard_3-2-1_109073_2023-03-19_final
2023-03-19 11:13:38	ga_ls8c_ard_3-2-1_109074_2023-03-19_final
2023-03-19 11:14:02	ga_ls8c_ard_3-2-1_109075_2023-03-19_final
2023-03-21 11:03:14	ga_ls8c_ard_3-2-1_107079_2023-03-21_final
2023-03-21 11:03:38	ga_ls8c_ard_3-2-1_107080_2023-03-21_final
2023-03-21 11:04:02	ga_ls8c_ard_3-2-1_107081_2023-03-21_final
2023-03-21 11:04:26	ga_ls8c_ard_3-2-1_107082_2023-03-21_final
2023-03-21 11:04:50	ga_ls8c_ard_3-2-1_107083_2023-03-21_final
2023-03-21 11:05:14	ga_ls8c_ard_3-2-1_107084_2023-03-21_final
2023-03-26 11:17:44	ga_ls8c_ard_3-2-1_110069_2023-03-26_final
2023-03-26 11:18:08	ga_ls8c_ard_3-2-1_110070_2023-03-26_final
2023-03-26 11:18:32	ga_ls8c_ard_3-2-1_110071_2023-03-26_final
2023-03-28 11:07:22	ga_ls8c_ard_3-2-1_108074_2023-03-28_final
2023-03-28 11:07:46	ga_ls8c_ard_3-2-1_108075_2023-03-28_final
2023-03-28 11:08:10	ga_ls8c_ard_3-2-1_108076_2023-03-28_final
2023-03-28 11:08:34	ga_ls8c_ard_3-2-1_108077_2023-03-28_final
2023-03-28 11:08:57	ga_ls8c_ard_3-2-1_108078_2023-03-28_final
2023-03-28 11:09:21	ga_ls8c_ard_3-2-1_108079_2023-03-28_final
2023-03-28 11:09:45	ga_ls8c_ard_3-2-1_108080_2023-03-28_final
2023-03-30 10:58:34	ga_ls8c_ard_3-2-1_106083_2023-03-30_final
2023-04-04 11:11:51	ga_ls8c_ard_3-2-1_109070_2023-04-04_final
2023-04-04 11:12:15	ga_ls8c_ard_3-2-1_109071_2023-04-04_final
2023-04-04 11:12:39	ga_ls8c_ard_3-2-1_109072_2023-04-04_final
2023-04-04 11:13:03	ga_ls8c_ard_3-2-1_109073_2023-04-04_final
2023-04-04 11:13:27	ga_ls8c_ard_3-2-1_109074_2023-04-04_final
2023-04-04 11:13:51	ga_ls8c_ard_3-2-1_109075_2023-04-04_final
2023-04-27 11:17:25	ga_ls8c_ard_3-2-1_110069_2023-04-27_final
2023-04-27 11:17:49	ga_ls8c_ard_3-2-1_110070_2023-04-27_final
2023-04-27 11:18:13	ga_ls8c_ard_3-2-1_110071_2023-04-27_final
2023-08-10 11:11:59	ga_ls8c_ard_3-2-1_109070_2023-08-10_final
2023-08-10 11:12:23	ga_ls8c_ard_3-2-1_109071_2023-08-10_final
2023-08-10 11:12:47	ga_ls8c_ard_3-2-1_109072_2023-08-10_final
2023-08-10 11:13:11	ga_ls8c_ard_3-2-1_109073_2023-08-10_final
2023-08-10 11:13:35	ga_ls8c_ard_3-2-1_109074_2023-08-10_final
2023-08-10 11:13:59	ga_ls8c_ard_3-2-1_109075_2023-08-10_final
2023-08-12 11:03:14	ga_ls8c_ard_3-2-1_107079_2023-08-12_final
2023-08-12 11:03:38	ga_ls8c_ard_3-2-1_107080_2023-08-12_final
2023-08-12 11:04:02	ga_ls8c_ard_3-2-1_107081_2023-08-12_final
2023-08-12 11:04:26	ga_ls8c_ard_3-2-1_107082_2023-08-12_final
2023-08-12 11:04:49	ga_ls8c_ard_3-2-1_107083_2023-08-12_final
2023-08-12 11:05:13	ga_ls8c_ard_3-2-1_107084_2023-08-12_final
2023-08-17 11:17:51	ga_ls8c_ard_3-2-1_110069_2023-08-17_final
2023-08-17 11:18:15	ga_ls8c_ard_3-2-1_110070_2023-08-17_final
2023-08-17 11:18:39	ga_ls8c_ard_3-2-1_110071_2023-08-17_final
2023-08-19 11:07:30	ga_ls8c_ard_3-2-1_108074_2023-08-19_final
2023-08-19 11:07:54	ga_ls8c_ard_3-2-1_108075_2023-08-19_final
2023-08-19 11:08:18	ga_ls8c_ard_3-2-1_108076_2023-08-19_final
2023-08-19 11:08:42	ga_ls8c_ard_3-2-1_108077_2023-08-19_final
2023-08-19 11:09:06	ga_ls8c_ard_3-2-1_108078_2023-08-19_final
2023-08-19 11:09:30	ga_ls8c_ard_3-2-1_108079_2023-08-19_final
2023-08-19 11:09:54	ga_ls8c_ard_3-2-1_108080_2023-08-19_final
2023-08-21 10:58:45	ga_ls8c_ard_3-2-1_106083_2023-08-21_final
2023-09-04 11:07:31	ga_ls8c_ard_3-2-1_108074_2023-09-04_final
2023-09-04 11:07:55	ga_ls8c_ard_3-2-1_108075_2023-09-04_final
2023-09-04 11:08:19	ga_ls8c_ard_3-2-1_108076_2023-09-04_final
2023-09-04 11:08:43	ga_ls8c_ard_3-2-1_108077_2023-09-04_final
2023-09-04 11:09:07	ga_ls8c_ard_3-2-1_108078_2023-09-04_final
2023-09-04 11:09:31	ga_ls8c_ard_3-2-1_108079_2023-09-04_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years