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
2013-04-05 11:08:14	ga_ls8c_ard_3-0-0_108079_2013-04-05_final
2013-04-05 11:08:38	ga_ls8c_ard_3-0-0_108080_2013-04-05_final
2013-04-05 11:09:02	ga_ls8c_ard_3-0-0_108081_2013-04-05_final
2013-04-05 11:09:26	ga_ls8c_ard_3-0-0_108082_2013-04-05_final
2013-04-05 11:09:50	ga_ls8c_ard_3-0-0_108083_2013-04-05_final
2013-06-29 11:06:07	ga_ls8c_ard_3-0-0_107081_2013-06-29_final
2013-06-29 11:06:31	ga_ls8c_ard_3-1-0_107082_2013-06-29_final
2013-06-29 11:06:55	ga_ls8c_ard_3-0-0_107083_2013-06-29_final
2013-06-29 11:07:19	ga_ls8c_ard_3-0-0_107084_2013-06-29_final
2013-08-05 11:19:07	ga_ls8c_ard_3-0-0_110067_2013-08-05_final
2013-08-05 11:20:43	ga_ls8c_ard_3-0-0_110071_2013-08-05_final
2013-08-05 11:21:07	ga_ls8c_ard_3-0-0_110072_2013-08-05_final
2013-08-05 11:21:31	ga_ls8c_ard_3-0-0_110073_2013-08-05_final
2013-08-07 11:10:21	ga_ls8c_ard_3-0-0_108076_2013-08-07_final
2013-08-07 11:10:45	ga_ls8c_ard_3-0-0_108077_2013-08-07_final
2013-08-07 11:11:09	ga_ls8c_ard_3-0-0_108078_2013-08-07_final
2013-08-07 11:11:33	ga_ls8c_ard_3-0-0_108079_2013-08-07_final
2013-08-07 11:11:57	ga_ls8c_ard_3-0-0_108080_2013-08-07_final
2013-08-07 11:12:21	ga_ls8c_ard_3-0-0_108081_2013-08-07_final
2013-08-07 11:12:45	ga_ls8c_ard_3-0-0_108082_2013-08-07_final
2013-08-14 11:14:56	ga_ls8c_ard_3-0-0_109072_2013-08-14_final
2013-08-14 11:15:20	ga_ls8c_ard_3-0-0_109073_2013-08-14_final
2013-08-14 11:15:44	ga_ls8c_ard_3-0-0_109074_2013-08-14_final
2013-08-14 11:16:08	ga_ls8c_ard_3-1-0_109075_2013-08-14_final
2013-08-14 11:16:32	ga_ls8c_ard_3-0-0_109076_2013-08-14_final
2013-08-14 11:16:56	ga_ls8c_ard_3-0-0_109077_2013-08-14_final
2013-08-14 11:17:19	ga_ls8c_ard_3-0-0_109078_2013-08-14_final
2013-08-16 11:06:10	ga_ls8c_ard_3-0-0_107081_2013-08-16_final
2013-08-16 11:06:34	ga_ls8c_ard_3-1-0_107082_2013-08-16_final
2013-08-16 11:06:58	ga_ls8c_ard_3-0-0_107083_2013-08-16_final
2013-08-16 11:07:22	ga_ls8c_ard_3-0-0_107084_2013-08-16_final
2013-11-09 11:19:39	ga_ls8c_ard_3-0-0_110069_2013-11-09_final
2013-11-09 11:20:03	ga_ls8c_ard_3-0-0_110070_2013-11-09_final
2013-11-09 11:20:27	ga_ls8c_ard_3-0-0_110071_2013-11-09_final
2013-11-09 11:20:51	ga_ls8c_ard_3-0-0_110072_2013-11-09_final
2013-11-09 11:21:15	ga_ls8c_ard_3-0-0_110073_2013-11-09_final
2013-11-11 11:10:05	ga_ls8c_ard_3-0-0_108076_2013-11-11_final
2013-11-11 11:10:28	ga_ls8c_ard_3-0-0_108077_2013-11-11_final
2013-11-11 11:10:52	ga_ls8c_ard_3-0-0_108078_2013-11-11_final
2013-11-11 11:11:16	ga_ls8c_ard_3-0-0_108079_2013-11-11_final
2013-11-11 11:11:40	ga_ls8c_ard_3-0-0_108080_2013-11-11_final
2013-11-11 11:12:04	ga_ls8c_ard_3-0-0_108081_2013-11-11_final
2013-11-11 11:12:28	ga_ls8c_ard_3-0-0_108082_2013-11-11_final
2014-03-10 11:13:29	ga_ls8c_ard_3-0-0_109072_2014-03-10_final
2014-03-10 11:13:53	ga_ls8c_ard_3-0-0_109073_2014-03-10_final
2014-03-10 11:14:17	ga_ls8c_ard_3-0-0_109074_2014-03-10_final
2014-03-10 11:14:41	ga_ls8c_ard_3-1-0_109075_2014-03-10_final
2014-03-10 11:15:05	ga_ls8c_ard_3-0-0_109076_2014-03-10_final
2014-03-10 11:15:29	ga_ls8c_ard_3-0-0_109077_2014-03-10_final
2014-03-10 11:15:52	ga_ls8c_ard_3-0-0_109078_2014-03-10_final
2014-03-12 11:04:42	ga_ls8c_ard_3-0-0_107081_2014-03-12_final
2014-03-12 11:05:06	ga_ls8c_ard_3-1-0_107082_2014-03-12_final
2014-03-12 11:05:30	ga_ls8c_ard_3-0-0_107083_2014-03-12_final
2014-03-12 11:05:54	ga_ls8c_ard_3-0-0_107084_2014-03-12_final
2014-06-12 11:22:59	ga_ls8c_ard_3-0-0_111067_2014-06-12_final
2014-06-12 11:23:23	ga_ls8c_ard_3-0-0_111068_2014-06-12_final
2014-06-28 11:23:01	ga_ls8c_ard_3-0-0_111067_2014-06-28_final
2014-06-28 11:23:25	ga_ls8c_ard_3-0-0_111068_2014-06-28_final
2022-05-26 11:18:38	ga_ls8c_ard_3-2-1_110071_2022-05-26_final
2022-09-17 11:08:59	ga_ls8c_ard_3-2-1_108076_2022-09-17_final
2022-09-17 11:09:23	ga_ls8c_ard_3-2-1_108077_2022-09-17_final
2022-09-17 11:09:47	ga_ls8c_ard_3-2-1_108078_2022-09-17_final
2022-09-17 11:10:11	ga_ls8c_ard_3-2-1_108079_2022-09-17_final
2022-09-17 11:10:35	ga_ls8c_ard_3-2-1_108080_2022-09-17_final
2022-09-17 11:10:59	ga_ls8c_ard_3-2-1_108081_2022-09-17_final
2022-09-17 11:11:23	ga_ls8c_ard_3-2-1_108082_2022-09-17_final
2022-09-22 11:24:21	ga_ls8c_ard_3-2-1_111068_2022-09-22_final
2022-09-24 11:13:35	ga_ls8c_ard_3-2-1_109072_2022-09-24_final
2022-09-24 11:13:59	ga_ls8c_ard_3-2-1_109073_2022-09-24_final
2022-09-24 11:14:23	ga_ls8c_ard_3-2-1_109074_2022-09-24_final
2022-09-24 11:14:46	ga_ls8c_ard_3-2-1_109075_2022-09-24_final
2022-09-24 11:15:10	ga_ls8c_ard_3-2-1_109076_2022-09-24_final
2022-09-24 11:15:34	ga_ls8c_ard_3-2-1_109077_2022-09-24_final
2022-10-01 11:18:33	ga_ls8c_ard_3-2-1_110069_2022-10-01_final
2022-10-01 11:18:57	ga_ls8c_ard_3-2-1_110070_2022-10-01_final
2022-10-01 11:19:21	ga_ls8c_ard_3-2-1_110071_2022-10-01_final
2022-10-01 11:19:44	ga_ls8c_ard_3-2-1_110072_2022-10-01_final
2022-10-01 11:20:08	ga_ls8c_ard_3-2-1_110073_2022-10-01_final
2022-10-03 11:08:58	ga_ls8c_ard_3-2-1_108076_2022-10-03_final
2022-10-03 11:09:22	ga_ls8c_ard_3-2-1_108077_2022-10-03_final
2022-10-03 11:09:46	ga_ls8c_ard_3-2-1_108078_2022-10-03_final
2022-10-03 11:10:10	ga_ls8c_ard_3-2-1_108079_2022-10-03_final
2022-10-03 11:10:34	ga_ls8c_ard_3-2-1_108080_2022-10-03_final
2022-10-03 11:10:58	ga_ls8c_ard_3-2-1_108081_2022-10-03_final
2022-10-03 11:11:22	ga_ls8c_ard_3-2-1_108082_2022-10-03_final
2022-10-17 11:18:27	ga_ls8c_ard_3-2-1_110069_2022-10-17_final
2022-10-17 11:18:51	ga_ls8c_ard_3-2-1_110070_2022-10-17_final
2022-10-17 11:19:15	ga_ls8c_ard_3-2-1_110071_2022-10-17_final
2022-10-17 11:19:39	ga_ls8c_ard_3-2-1_110072_2022-10-17_final
2022-10-17 11:20:02	ga_ls8c_ard_3-2-1_110073_2022-10-17_final
2022-10-26 11:13:33	ga_ls8c_ard_3-2-1_109072_2022-10-26_final
2022-10-26 11:13:57	ga_ls8c_ard_3-2-1_109073_2022-10-26_final
2022-10-26 11:14:21	ga_ls8c_ard_3-2-1_109074_2022-10-26_final
2022-10-26 11:14:45	ga_ls8c_ard_3-2-1_109075_2022-10-26_final
2022-10-26 11:15:09	ga_ls8c_ard_3-2-1_109076_2022-10-26_final
2022-10-26 11:15:33	ga_ls8c_ard_3-2-1_109077_2022-10-26_final
2022-10-26 11:15:57	ga_ls8c_ard_3-2-1_109078_2022-10-26_final
2022-10-28 11:04:47	ga_ls8c_ard_3-2-1_107081_2022-10-28_final
2022-10-28 11:05:11	ga_ls8c_ard_3-2-1_107082_2022-10-28_final
2022-10-28 11:05:35	ga_ls8c_ard_3-2-1_107083_2022-10-28_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