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
2013-11-18 09:36:54	ga_ls8c_ard_3-1-0_093075_2013-11-18_final
2013-11-18 11:15:23	ga_ls8c_ard_3-0-0_109074_2013-11-18_final
2013-11-18 11:15:47	ga_ls8c_ard_3-0-0_109075_2013-11-18_final
2013-11-20 11:03:00	ga_ls8c_ard_3-0-0_107074_2013-11-20_final
2013-11-21 10:07:21	ga_ls8c_ard_3-0-0_098074_2013-11-21_final
2013-11-23 09:54:58	ga_ls8c_ard_3-0-0_096074_2013-11-23_final
2013-11-23 11:34:15	ga_ls8c_ard_3-0-0_112075_2013-11-23_final
2013-11-24 10:38:14	ga_ls8c_ard_3-0-0_103074_2013-11-24_final
2013-11-24 10:38:38	ga_ls8c_ard_3-0-0_103075_2013-11-24_final
2013-11-25 11:21:30	ga_ls8c_ard_3-0-0_110074_2013-11-25_final
2013-11-25 11:21:54	ga_ls8c_ard_3-0-0_110075_2013-11-25_final
2013-11-26 10:25:53	ga_ls8c_ard_3-0-0_101074_2013-11-26_final
2016-05-23 09:53:00	ga_ls8c_ard_3-0-0_096074_2016-05-23_final
2016-05-23 09:53:24	ga_ls8c_ard_3-0-0_096075_2016-05-23_final
2016-05-23 11:31:53	ga_ls8c_ard_3-0-0_112074_2016-05-23_final
2016-05-23 11:32:17	ga_ls8c_ard_3-0-0_112075_2016-05-23_final
2016-05-24 10:36:16	ga_ls8c_ard_3-0-0_103074_2016-05-24_final
2016-05-24 10:36:40	ga_ls8c_ard_3-0-0_103075_2016-05-24_final
2016-06-12 09:28:21	ga_ls8c_ard_3-0-0_092074_2016-06-11_final
2016-06-12 09:28:45	ga_ls8c_ard_3-0-0_092075_2016-06-11_final
2016-06-12 11:07:14	ga_ls8c_ard_3-0-0_108074_2016-06-12_final
2016-06-12 11:07:38	ga_ls8c_ard_3-0-0_108075_2016-06-12_final
2016-08-02 09:59:35	ga_ls8c_ard_3-0-0_097074_2016-08-02_final
2016-08-02 09:59:59	ga_ls8c_ard_3-0-0_097075_2016-08-02_final
2016-08-02 11:38:28	ga_ls8c_ard_3-0-0_113074_2016-08-02_final
2016-08-02 11:38:52	ga_ls8c_ard_3-0-0_113075_2016-08-02_final
2016-08-03 10:42:51	ga_ls8c_ard_3-0-0_104074_2016-08-03_final
2016-08-03 10:43:15	ga_ls8c_ard_3-0-0_104075_2016-08-03_final
2016-08-04 09:47:13	ga_ls8c_ard_3-0-0_095074_2016-08-04_final
2016-08-04 09:47:37	ga_ls8c_ard_3-0-0_095075_2016-08-04_final
2016-08-04 11:26:07	ga_ls8c_ard_3-0-0_111074_2016-08-04_final
2016-08-04 11:26:30	ga_ls8c_ard_3-0-0_111075_2016-08-04_final
2016-08-05 10:30:29	ga_ls8c_ard_3-0-0_102074_2016-08-05_final
2016-08-05 10:30:53	ga_ls8c_ard_3-0-0_102075_2016-08-05_final
2016-08-28 10:36:48	ga_ls8c_ard_3-0-0_103074_2016-08-28_final
2016-08-29 09:41:11	ga_ls8c_ard_3-0-0_094074_2016-08-29_final
2016-08-29 09:41:35	ga_ls8c_ard_3-0-0_094075_2016-08-29_final
2016-08-30 10:24:27	ga_ls8c_ard_3-0-0_101074_2016-08-30_final
2016-08-30 10:24:51	ga_ls8c_ard_3-0-0_101075_2016-08-30_final
2016-08-31 09:28:50	ga_ls8c_ard_3-0-0_092074_2016-08-30_final
2016-08-31 09:29:14	ga_ls8c_ard_3-0-0_092075_2016-08-30_final
2016-08-31 11:07:43	ga_ls8c_ard_3-0-0_108074_2016-08-31_final
2016-08-31 11:08:07	ga_ls8c_ard_3-0-0_108075_2016-08-31_final
2016-12-03 09:41:21	ga_ls8c_ard_3-0-0_094074_2016-12-03_final
2016-12-03 09:41:45	ga_ls8c_ard_3-0-0_094075_2016-12-03_final
2016-12-03 11:20:14	ga_ls8c_ard_3-0-0_110074_2016-12-03_final
2016-12-03 11:20:38	ga_ls8c_ard_3-0-0_110075_2016-12-03_final
2016-12-04 10:24:36	ga_ls8c_ard_3-0-0_101074_2016-12-04_final
2016-12-05 09:28:59	ga_ls8c_ard_3-0-0_092074_2016-12-04_final
2016-12-05 09:29:23	ga_ls8c_ard_3-0-0_092075_2016-12-04_final
2016-12-05 11:07:52	ga_ls8c_ard_3-0-0_108074_2016-12-05_final
2016-12-05 11:08:16	ga_ls8c_ard_3-0-0_108075_2016-12-05_final
2016-12-06 10:12:14	ga_ls8c_ard_3-0-0_099074_2016-12-06_final
2016-12-06 10:12:38	ga_ls8c_ard_3-0-0_099075_2016-12-06_final
2016-12-06 11:51:07	ga_ls8c_ard_3-0-0_115074_2016-12-06_final
2016-12-06 11:51:31	ga_ls8c_ard_3-0-0_115075_2016-12-06_final
2016-12-07 09:16:37	ga_ls8c_ard_3-0-0_090074_2016-12-06_final
2016-12-07 09:17:01	ga_ls8c_ard_3-0-0_090075_2016-12-06_final
2016-12-07 10:55:30	ga_ls8c_ard_3-0-0_106074_2016-12-07_final
2016-12-07 10:55:54	ga_ls8c_ard_3-0-0_106075_2016-12-07_final
2017-01-05 10:24:29	ga_ls8c_ard_3-0-0_101074_2017-01-05_final
2017-01-06 09:28:51	ga_ls8c_ard_3-0-0_092074_2017-01-05_final
2017-01-06 11:07:44	ga_ls8c_ard_3-0-0_108074_2017-01-06_final
2017-01-07 10:12:07	ga_ls8c_ard_3-0-0_099074_2017-01-07_final
2017-01-07 10:12:31	ga_ls8c_ard_3-0-0_099075_2017-01-07_final
2017-01-07 11:51:00	ga_ls8c_ard_3-0-0_115074_2017-01-07_final
2017-01-08 09:16:29	ga_ls8c_ard_3-0-0_090074_2017-01-07_final
2017-01-08 09:16:53	ga_ls8c_ard_3-0-0_090075_2017-01-07_final
2017-01-08 10:55:22	ga_ls8c_ard_3-0-0_106074_2017-01-08_final
2017-01-08 10:55:46	ga_ls8c_ard_3-0-0_106075_2017-01-08_final
2017-01-09 09:59:45	ga_ls8c_ard_3-0-0_097074_2017-01-09_final
2017-01-09 10:00:09	ga_ls8c_ard_3-0-0_097075_2017-01-09_final
2017-01-09 11:38:38	ga_ls8c_ard_3-0-0_113074_2017-01-09_final
2017-02-05 09:41:02	ga_ls8c_ard_3-0-0_094074_2017-02-05_final
2017-02-05 09:41:26	ga_ls8c_ard_3-0-0_094075_2017-02-05_final
2017-02-05 11:19:55	ga_ls8c_ard_3-0-0_110074_2017-02-05_final
2017-02-05 11:20:19	ga_ls8c_ard_3-0-0_110075_2017-02-05_final
2017-02-06 10:24:17	ga_ls8c_ard_3-0-0_101074_2017-02-06_final
2017-02-07 09:28:39	ga_ls8c_ard_3-1-0_092074_2017-02-06_final
2017-02-07 09:29:03	ga_ls8c_ard_3-0-0_092075_2017-02-06_final
2017-02-07 11:07:32	ga_ls8c_ard_3-0-0_108074_2017-02-07_final
2017-02-08 10:11:54	ga_ls8c_ard_3-0-0_099074_2017-02-08_final
2017-02-08 10:12:18	ga_ls8c_ard_3-0-0_099075_2017-02-08_final
2017-02-08 11:50:47	ga_ls8c_ard_3-0-0_115074_2017-02-08_final
2017-02-08 11:51:11	ga_ls8c_ard_3-0-0_115075_2017-02-08_final
2017-02-09 09:16:16	ga_ls8c_ard_3-0-0_090074_2017-02-08_final
2017-02-09 09:16:40	ga_ls8c_ard_3-0-0_090075_2017-02-08_final
2017-02-09 10:55:09	ga_ls8c_ard_3-0-0_106074_2017-02-09_final
2017-02-09 10:55:33	ga_ls8c_ard_3-0-0_106075_2017-02-09_final
2017-03-12 10:11:41	ga_ls8c_ard_3-0-0_099074_2017-03-12_final
2017-03-12 11:50:34	ga_ls8c_ard_3-0-0_115074_2017-03-12_final
2017-03-12 11:50:58	ga_ls8c_ard_3-0-0_115075_2017-03-12_final
2017-03-13 09:16:03	ga_ls8c_ard_3-0-0_090074_2017-03-12_final
2017-03-13 09:16:27	ga_ls8c_ard_3-0-0_090075_2017-03-12_final
2017-03-13 10:54:56	ga_ls8c_ard_3-0-0_106074_2017-03-13_final
2017-03-14 09:59:18	ga_ls8c_ard_3-0-0_097074_2017-03-14_final
2017-03-14 11:38:11	ga_ls8c_ard_3-0-0_113074_2017-03-14_final
2017-03-15 10:42:33	ga_ls8c_ard_3-0-0_104074_2017-03-15_final
2017-03-16 09:46:55	ga_ls8c_ard_3-0-0_095074_2017-03-16_final
2017-03-16 11:25:48	ga_ls8c_ard_3-0-0_111074_2017-03-16_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