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
2013-07-06 11:10:44	ga_ls8c_ard_3-0-0_108077_2013-07-06_final
2013-07-06 11:11:07	ga_ls8c_ard_3-0-0_108078_2013-07-06_final
2013-07-06 11:11:31	ga_ls8c_ard_3-0-0_108079_2013-07-06_final
2013-07-06 11:11:55	ga_ls8c_ard_3-0-0_108080_2013-07-06_final
2013-07-06 11:12:19	ga_ls8c_ard_3-0-0_108081_2013-07-06_final
2013-07-06 11:12:43	ga_ls8c_ard_3-0-0_108082_2013-07-06_final
2013-07-11 11:25:17	ga_ls8c_ard_3-0-0_111067_2013-07-11_final
2013-07-11 11:25:41	ga_ls8c_ard_3-0-0_111068_2013-07-11_final
2013-07-22 11:10:42	ga_ls8c_ard_3-0-0_108077_2013-07-22_final
2013-07-22 11:11:06	ga_ls8c_ard_3-0-0_108078_2013-07-22_final
2013-07-22 11:11:30	ga_ls8c_ard_3-0-0_108079_2013-07-22_final
2013-07-22 11:11:53	ga_ls8c_ard_3-0-0_108080_2013-07-22_final
2013-07-22 11:12:17	ga_ls8c_ard_3-0-0_108081_2013-07-22_final
2013-07-22 11:12:41	ga_ls8c_ard_3-0-0_108082_2013-07-22_final
2013-07-29 11:15:19	ga_ls8c_ard_3-0-0_109073_2013-07-29_final
2013-07-29 11:15:43	ga_ls8c_ard_3-0-0_109074_2013-07-29_final
2013-07-29 11:16:07	ga_ls8c_ard_3-0-0_109075_2013-07-29_final
2013-07-29 11:16:31	ga_ls8c_ard_3-0-0_109076_2013-07-29_final
2013-07-29 11:16:55	ga_ls8c_ard_3-0-0_109077_2013-07-29_final
2013-07-29 11:17:19	ga_ls8c_ard_3-0-0_109078_2013-07-29_final
2013-07-31 11:06:09	ga_ls8c_ard_3-0-0_107081_2013-07-31_final
2013-07-31 11:06:33	ga_ls8c_ard_3-1-0_107082_2013-07-31_final
2013-07-31 11:06:57	ga_ls8c_ard_3-0-0_107083_2013-07-31_final
2013-07-31 11:07:21	ga_ls8c_ard_3-0-0_107084_2013-07-31_final
2015-01-31 11:17:28	ga_ls8c_ard_3-0-0_110068_2015-01-31_final
2015-01-31 11:17:52	ga_ls8c_ard_3-0-0_110069_2015-01-31_final
2015-01-31 11:18:16	ga_ls8c_ard_3-0-0_110070_2015-01-31_final
2015-01-31 11:18:40	ga_ls8c_ard_3-0-0_110071_2015-01-31_final
2015-01-31 11:19:04	ga_ls8c_ard_3-0-0_110072_2015-01-31_final
2015-01-31 11:19:27	ga_ls8c_ard_3-0-0_110073_2015-01-31_final
2015-02-02 11:08:41	ga_ls8c_ard_3-0-0_108077_2015-02-02_final
2015-02-02 11:09:05	ga_ls8c_ard_3-0-0_108078_2015-02-02_final
2015-02-02 11:09:29	ga_ls8c_ard_3-0-0_108079_2015-02-02_final
2015-02-02 11:09:53	ga_ls8c_ard_3-0-0_108080_2015-02-02_final
2015-02-02 11:10:17	ga_ls8c_ard_3-0-0_108081_2015-02-02_final
2015-02-02 11:10:41	ga_ls8c_ard_3-0-0_108082_2015-02-02_final
2015-04-12 11:22:40	ga_ls8c_ard_3-0-0_111067_2015-04-12_final
2015-04-12 11:23:04	ga_ls8c_ard_3-0-0_111068_2015-04-12_final
2015-04-21 11:16:53	ga_ls8c_ard_3-0-0_110068_2015-04-21_final
2015-04-21 11:17:16	ga_ls8c_ard_3-0-0_110069_2015-04-21_final
2015-04-21 11:17:40	ga_ls8c_ard_3-0-0_110070_2015-04-21_final
2015-04-21 11:18:04	ga_ls8c_ard_3-0-0_110071_2015-04-21_final
2015-04-21 11:18:28	ga_ls8c_ard_3-0-0_110072_2015-04-21_final
2015-04-21 11:18:52	ga_ls8c_ard_3-0-0_110073_2015-04-21_final
2015-04-23 11:08:05	ga_ls8c_ard_3-0-0_108077_2015-04-23_final
2015-04-23 11:08:29	ga_ls8c_ard_3-0-0_108078_2015-04-23_final
2015-04-23 11:08:53	ga_ls8c_ard_3-0-0_108079_2015-04-23_final
2015-04-23 11:09:17	ga_ls8c_ard_3-0-0_108080_2015-04-23_final
2015-04-23 11:09:41	ga_ls8c_ard_3-0-0_108081_2015-04-23_final
2015-04-23 11:10:05	ga_ls8c_ard_3-0-0_108082_2015-04-23_final
2015-05-14 11:22:18	ga_ls8c_ard_3-0-0_111067_2015-05-14_final
2015-05-14 11:22:42	ga_ls8c_ard_3-0-0_111068_2015-05-14_final
2019-07-16 11:04:06	ga_ls8c_ard_3-1-0_107081_2019-07-16_final
2019-07-16 11:04:30	ga_ls8c_ard_3-1-0_107082_2019-07-16_final
2019-09-25 11:09:04	ga_ls8c_ard_3-1-0_108077_2019-09-25_final
2019-09-25 11:09:28	ga_ls8c_ard_3-1-0_108078_2019-09-25_final
2019-09-25 11:09:52	ga_ls8c_ard_3-1-0_108079_2019-09-25_final
2019-09-25 11:10:16	ga_ls8c_ard_3-1-0_108080_2019-09-25_final
2019-09-25 11:10:40	ga_ls8c_ard_3-1-0_108081_2019-09-25_final
2019-09-25 11:11:04	ga_ls8c_ard_3-1-0_108082_2019-09-25_final
2019-11-10 11:17:53	ga_ls8c_ard_3-1-0_110068_2019-11-10_final
2019-11-10 11:18:17	ga_ls8c_ard_3-1-0_110069_2019-11-10_final
2019-11-10 11:18:41	ga_ls8c_ard_3-1-0_110070_2019-11-10_final
2019-11-10 11:19:04	ga_ls8c_ard_3-1-0_110071_2019-11-10_final
2019-11-10 11:19:28	ga_ls8c_ard_3-1-0_110072_2019-11-10_final
2019-11-10 11:19:52	ga_ls8c_ard_3-1-0_110073_2019-11-10_final
2019-11-12 11:09:06	ga_ls8c_ard_3-1-0_108077_2019-11-12_final
2019-11-12 11:09:30	ga_ls8c_ard_3-1-0_108078_2019-11-12_final
2019-11-12 11:09:54	ga_ls8c_ard_3-1-0_108079_2019-11-12_final
2019-11-12 11:10:18	ga_ls8c_ard_3-1-0_108080_2019-11-12_final
2019-11-12 11:10:42	ga_ls8c_ard_3-1-0_108081_2019-11-12_final
2019-11-12 11:11:06	ga_ls8c_ard_3-1-0_108082_2019-11-12_final
2022-01-25 11:23:51	ga_ls8c_ard_3-2-1_111068_2022-01-25_final
2022-01-25 11:24:15	ga_ls8c_ard_3-2-1_111069_2022-01-25_final
2022-02-10 11:23:48	ga_ls8c_ard_3-2-1_111068_2022-02-10_final
2022-02-10 11:24:12	ga_ls8c_ard_3-2-1_111069_2022-02-10_final
2022-02-12 11:13:25	ga_ls8c_ard_3-2-1_109073_2022-02-12_final
2022-02-12 11:13:49	ga_ls8c_ard_3-2-1_109074_2022-02-12_final
2022-02-12 11:14:13	ga_ls8c_ard_3-2-1_109075_2022-02-12_final
2022-02-12 11:14:37	ga_ls8c_ard_3-2-1_109076_2022-02-12_final
2022-02-12 11:15:01	ga_ls8c_ard_3-2-1_109077_2022-02-12_final
2022-02-12 11:15:25	ga_ls8c_ard_3-2-1_109078_2022-02-12_final
2022-02-14 11:04:14	ga_ls8c_ard_3-2-1_107081_2022-02-14_final
2022-02-14 11:04:38	ga_ls8c_ard_3-2-1_107082_2022-02-14_final
2022-02-14 11:05:02	ga_ls8c_ard_3-2-1_107083_2022-02-14_final
2022-02-14 11:05:26	ga_ls8c_ard_3-2-1_107084_2022-02-14_final
2022-02-19 11:17:57	ga_ls8c_ard_3-2-1_110069_2022-02-19_final
2022-02-19 11:18:21	ga_ls8c_ard_3-2-1_110070_2022-02-19_final
2022-02-19 11:18:45	ga_ls8c_ard_3-2-1_110071_2022-02-19_final
2022-02-19 11:19:09	ga_ls8c_ard_3-2-1_110072_2022-02-19_final
2022-02-19 11:19:33	ga_ls8c_ard_3-2-1_110073_2022-02-19_final
2022-02-26 11:23:43	ga_ls8c_ard_3-2-1_111068_2022-02-26_final
2022-02-26 11:24:07	ga_ls8c_ard_3-2-1_111069_2022-02-26_final
2022-03-02 11:04:10	ga_ls8c_ard_3-2-1_107081_2022-03-02_final
2022-03-02 11:04:34	ga_ls8c_ard_3-2-1_107082_2022-03-02_final
2022-03-02 11:04:58	ga_ls8c_ard_3-2-1_107083_2022-03-02_final
2022-03-02 11:05:22	ga_ls8c_ard_3-2-1_107084_2022-03-02_final
2022-05-05 11:04:00	ga_ls8c_ard_3-2-1_107081_2022-05-05_final
2022-05-05 11:04:24	ga_ls8c_ard_3-2-1_107082_2022-05-05_final
2022-05-05 11:04:48	ga_ls8c_ard_3-2-1_107083_2022-05-05_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