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
2013-04-24 11:14:42	ga_ls8c_ard_3-0-0_109072_2013-04-24_final
2013-04-24 11:15:06	ga_ls8c_ard_3-0-0_109073_2013-04-24_final
2013-04-24 11:15:30	ga_ls8c_ard_3-0-0_109074_2013-04-24_final
2013-04-24 11:15:53	ga_ls8c_ard_3-0-0_109075_2013-04-24_final
2013-04-24 11:16:17	ga_ls8c_ard_3-0-0_109076_2013-04-24_final
2013-04-24 11:16:41	ga_ls8c_ard_3-0-0_109077_2013-04-24_final
2013-04-24 11:17:05	ga_ls8c_ard_3-0-0_109078_2013-04-24_final
2013-04-26 11:05:55	ga_ls8c_ard_3-0-0_107081_2013-04-26_final
2013-04-26 11:06:18	ga_ls8c_ard_3-1-0_107082_2013-04-26_final
2013-04-26 11:06:42	ga_ls8c_ard_3-0-0_107083_2013-04-26_final
2013-05-01 11:20:06	ga_ls8c_ard_3-0-0_110070_2013-05-01_final
2013-05-01 11:20:30	ga_ls8c_ard_3-0-0_110071_2013-05-01_final
2013-05-01 11:20:54	ga_ls8c_ard_3-0-0_110072_2013-05-01_final
2013-05-26 11:14:59	ga_ls8c_ard_3-0-0_109072_2013-05-26_final
2013-05-26 11:15:23	ga_ls8c_ard_3-0-0_109073_2013-05-26_final
2013-05-26 11:15:47	ga_ls8c_ard_3-0-0_109074_2013-05-26_final
2013-06-09 11:25:19	ga_ls8c_ard_3-0-0_111067_2013-06-09_final
2013-06-09 11:25:43	ga_ls8c_ard_3-0-0_111068_2013-06-09_final
2013-06-11 11:14:56	ga_ls8c_ard_3-0-0_109072_2013-06-11_final
2013-06-11 11:15:20	ga_ls8c_ard_3-0-0_109073_2013-06-11_final
2013-06-11 11:15:44	ga_ls8c_ard_3-0-0_109074_2013-06-11_final
2013-06-11 11:16:08	ga_ls8c_ard_3-0-0_109075_2013-06-11_final
2013-06-11 11:16:32	ga_ls8c_ard_3-0-0_109076_2013-06-11_final
2013-06-11 11:16:56	ga_ls8c_ard_3-0-0_109077_2013-06-11_final
2013-06-11 11:17:20	ga_ls8c_ard_3-0-0_109078_2013-06-11_final
2013-06-13 11:06:09	ga_ls8c_ard_3-0-0_107081_2013-06-13_final
2013-06-13 11:06:33	ga_ls8c_ard_3-1-0_107082_2013-06-13_final
2013-06-13 11:06:57	ga_ls8c_ard_3-0-0_107083_2013-06-13_final
2013-07-20 11:19:04	ga_ls8c_ard_3-0-0_110067_2013-07-20_final
2013-07-20 11:20:40	ga_ls8c_ard_3-0-0_110071_2013-07-20_final
2013-07-20 11:21:04	ga_ls8c_ard_3-0-0_110072_2013-07-20_final
2013-07-20 11:21:28	ga_ls8c_ard_3-0-0_110073_2013-07-20_final
2013-08-28 11:25:20	ga_ls8c_ard_3-0-0_111067_2013-08-28_final
2013-08-28 11:25:44	ga_ls8c_ard_3-0-0_111068_2013-08-28_final
2013-09-13 11:25:17	ga_ls8c_ard_3-0-0_111067_2013-09-13_final
2013-09-13 11:25:41	ga_ls8c_ard_3-0-0_111068_2013-09-13_final
2013-09-15 11:14:54	ga_ls8c_ard_3-0-0_109072_2013-09-15_final
2013-09-15 11:15:18	ga_ls8c_ard_3-0-0_109073_2013-09-15_final
2013-09-15 11:15:42	ga_ls8c_ard_3-0-0_109074_2013-09-15_final
2013-09-15 11:16:06	ga_ls8c_ard_3-0-0_109075_2013-09-15_final
2013-09-15 11:16:30	ga_ls8c_ard_3-0-0_109076_2013-09-15_final
2013-09-15 11:16:54	ga_ls8c_ard_3-0-0_109077_2013-09-15_final
2013-09-15 11:17:18	ga_ls8c_ard_3-0-0_109078_2013-09-15_final
2013-09-29 11:25:10	ga_ls8c_ard_3-0-0_111067_2013-09-29_final
2013-09-29 11:25:34	ga_ls8c_ard_3-0-0_111068_2013-09-29_final
2013-10-01 11:14:48	ga_ls8c_ard_3-0-0_109072_2013-10-01_final
2013-10-01 11:15:12	ga_ls8c_ard_3-0-0_109073_2013-10-01_final
2013-10-01 11:15:36	ga_ls8c_ard_3-0-0_109074_2013-10-01_final
2013-10-01 11:16:00	ga_ls8c_ard_3-0-0_109075_2013-10-01_final
2013-10-01 11:16:24	ga_ls8c_ard_3-0-0_109076_2013-10-01_final
2013-10-01 11:16:48	ga_ls8c_ard_3-0-0_109077_2013-10-01_final
2013-10-01 11:17:12	ga_ls8c_ard_3-0-0_109078_2013-10-01_final
2013-10-03 11:06:26	ga_ls8c_ard_3-1-0_107082_2013-10-03_final
2013-10-03 11:06:50	ga_ls8c_ard_3-0-0_107083_2013-10-03_final
2013-10-03 11:07:14	ga_ls8c_ard_3-0-0_107084_2013-10-03_final
2017-09-26 11:13:08	ga_ls8c_ard_3-0-0_109072_2017-09-26_final
2017-09-26 11:13:32	ga_ls8c_ard_3-0-0_109073_2017-09-26_final
2017-09-26 11:13:56	ga_ls8c_ard_3-0-0_109074_2017-09-26_final
2017-09-26 11:14:19	ga_ls8c_ard_3-0-0_109075_2017-09-26_final
2017-09-26 11:14:43	ga_ls8c_ard_3-0-0_109076_2017-09-26_final
2017-09-26 11:15:07	ga_ls8c_ard_3-0-0_109077_2017-09-26_final
2017-09-26 11:15:31	ga_ls8c_ard_3-0-0_109078_2017-09-26_final
2017-09-28 11:04:22	ga_ls8c_ard_3-0-0_107081_2017-09-28_final
2017-09-28 11:04:46	ga_ls8c_ard_3-1-0_107082_2017-09-28_final
2017-09-28 11:05:10	ga_ls8c_ard_3-0-0_107083_2017-09-28_final
2017-09-28 11:05:34	ga_ls8c_ard_3-0-0_107084_2017-09-28_final
2017-09-28 11:05:58	ga_ls8c_ard_3-0-0_107085_2017-09-28_final
2017-12-26 10:59:21	ga_ls8c_ard_3-0-0_106084_2017-12-26_final
2018-02-01 11:12:48	ga_ls8c_ard_3-0-0_109072_2018-02-01_final
2018-02-01 11:13:12	ga_ls8c_ard_3-0-0_109073_2018-02-01_final
2018-02-01 11:13:36	ga_ls8c_ard_3-0-0_109074_2018-02-01_final
2018-02-01 11:14:00	ga_ls8c_ard_3-0-0_109075_2018-02-01_final
2018-02-01 11:14:24	ga_ls8c_ard_3-0-0_109076_2018-02-01_final
2018-02-01 11:14:48	ga_ls8c_ard_3-0-0_109077_2018-02-01_final
2018-02-01 11:15:12	ga_ls8c_ard_3-0-0_109078_2018-02-01_final
2018-02-03 11:04:01	ga_ls8c_ard_3-0-0_107081_2018-02-03_final
2018-02-03 11:04:25	ga_ls8c_ard_3-0-0_107082_2018-02-03_final
2018-02-03 11:04:49	ga_ls8c_ard_3-0-0_107083_2018-02-03_final
2018-02-03 11:05:13	ga_ls8c_ard_3-0-0_107084_2018-02-03_final
2018-02-03 11:05:37	ga_ls8c_ard_3-0-0_107085_2018-02-03_final
2023-11-21 11:18:09	ga_ls8c_ard_3-2-1_110069_2023-11-21_final
2023-11-21 11:18:33	ga_ls8c_ard_3-2-1_110070_2023-11-21_final
2023-11-21 11:18:57	ga_ls8c_ard_3-2-1_110071_2023-11-21_final
2023-11-21 11:19:21	ga_ls8c_ard_3-2-1_110072_2023-11-21_final
2023-11-21 11:19:45	ga_ls8c_ard_3-2-1_110073_2023-11-21_final
2024-01-24 11:17:57	ga_ls8c_ard_3-2-1_110069_2024-01-24_final
2024-01-24 11:17:57	ga_ls8c_ard_3-2-1_110069_2024-01-24_nrt
2024-01-24 11:18:21	ga_ls8c_ard_3-2-1_110070_2024-01-24_final
2024-01-24 11:18:21	ga_ls8c_ard_3-2-1_110070_2024-01-24_nrt
2024-01-24 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-01-24_final
2024-01-24 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-01-24_nrt
2024-01-24 11:19:09	ga_ls8c_ard_3-2-1_110072_2024-01-24_final
2024-01-24 11:19:09	ga_ls8c_ard_3-2-1_110072_2024-01-24_nrt
2024-01-24 11:19:33	ga_ls8c_ard_3-2-1_110073_2024-01-24_final
2024-01-24 11:19:33	ga_ls8c_ard_3-2-1_110073_2024-01-24_nrt
2024-01-26 11:08:45	ga_ls8c_ard_3-2-1_108077_2024-01-26_final
2024-01-26 11:09:09	ga_ls8c_ard_3-2-1_108078_2024-01-26_final
2024-01-26 11:09:33	ga_ls8c_ard_3-2-1_108079_2024-01-26_final
2024-01-26 11:09:56	ga_ls8c_ard_3-2-1_108080_2024-01-26_final
2024-01-26 11:10:20	ga_ls8c_ard_3-2-1_108081_2024-01-26_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