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
2014-01-08 10:07:02	ga_ls8c_ard_3-0-0_098074_2014-01-08_final
2014-01-08 11:45:55	ga_ls8c_ard_3-0-0_114074_2014-01-08_final
2014-01-09 10:50:17	ga_ls8c_ard_3-0-0_105074_2014-01-09_final
2014-01-10 09:54:39	ga_ls8c_ard_3-0-0_096074_2014-01-10_final
2014-01-10 11:33:32	ga_ls8c_ard_3-0-0_112074_2014-01-10_final
2014-01-11 10:37:53	ga_ls8c_ard_3-0-0_103074_2014-01-11_final
2014-01-12 09:42:15	ga_ls8c_ard_3-0-0_094074_2014-01-12_final
2014-01-12 11:21:08	ga_ls8c_ard_3-0-0_110074_2014-01-12_final
2014-01-14 11:08:43	ga_ls8c_ard_3-0-0_108074_2014-01-14_final
2014-02-07 10:19:05	ga_ls8c_ard_3-0-0_100074_2014-02-07_final
2014-02-09 11:45:34	ga_ls8c_ard_3-0-0_114074_2014-02-09_final
2014-02-10 10:49:55	ga_ls8c_ard_3-0-0_105074_2014-02-10_final
2014-02-11 09:54:17	ga_ls8c_ard_3-0-0_096074_2014-02-11_final
2014-02-13 09:41:53	ga_ls8c_ard_3-0-0_094074_2014-02-13_final
2014-02-13 11:20:46	ga_ls8c_ard_3-0-0_110074_2014-02-13_final
2014-05-12 10:30:03	ga_ls8c_ard_3-0-0_102074_2014-05-12_final
2014-05-13 09:34:25	ga_ls8c_ard_3-0-0_093074_2014-05-13_final
2014-05-13 11:13:18	ga_ls8c_ard_3-0-0_109074_2014-05-13_final
2014-05-14 10:17:40	ga_ls8c_ard_3-0-0_100074_2014-05-14_final
2014-05-15 11:00:55	ga_ls8c_ard_3-0-0_107074_2014-05-15_final
2014-05-16 10:05:17	ga_ls8c_ard_3-0-0_098074_2014-05-16_final
2014-05-17 10:48:08	ga_ls8c_ard_3-0-0_105073_2014-05-17_final
2014-05-17 10:48:32	ga_ls8c_ard_3-0-0_105074_2014-05-17_final
2020-06-01 10:04:50	ga_ls8c_ard_3-1-0_098073_2020-06-01_final
2020-06-01 10:05:14	ga_ls8c_ard_3-1-0_098074_2020-06-01_final
2020-06-01 11:44:07	ga_ls8c_ard_3-1-0_114074_2020-06-01_final
2020-06-02 09:09:38	ga_ls8c_ard_3-1-0_089074_2020-06-01_final
2020-06-02 10:48:31	ga_ls8c_ard_3-1-0_105074_2020-06-02_final
2020-06-03 09:52:54	ga_ls8c_ard_3-1-0_096074_2020-06-03_final
2020-06-03 11:31:23	ga_ls8c_ard_3-1-0_112073_2020-06-03_final
2020-06-03 11:31:47	ga_ls8c_ard_3-1-0_112074_2020-06-03_final
2020-06-17 10:05:24	ga_ls8c_ard_3-1-0_098074_2020-06-17_final
2020-06-17 11:44:17	ga_ls8c_ard_3-1-0_114074_2020-06-17_final
2020-06-18 09:09:47	ga_ls8c_ard_3-1-0_089074_2020-06-17_final
2020-06-18 10:48:17	ga_ls8c_ard_3-1-0_105073_2020-06-18_final
2020-06-18 10:48:41	ga_ls8c_ard_3-1-0_105074_2020-06-18_final
2020-06-19 09:52:40	ga_ls8c_ard_3-1-0_096073_2020-06-19_final
2020-06-19 09:53:04	ga_ls8c_ard_3-1-0_096074_2020-06-19_final
2020-06-19 11:31:57	ga_ls8c_ard_3-1-0_112074_2020-06-19_final
2020-07-23 09:40:56	ga_ls8c_ard_3-1-0_094074_2020-07-23_final
2020-07-23 11:19:25	ga_ls8c_ard_3-1-0_110073_2020-07-23_final
2020-07-23 11:19:49	ga_ls8c_ard_3-1-0_110074_2020-07-23_final
2020-07-24 10:23:48	ga_ls8c_ard_3-1-0_101073_2020-07-24_final
2020-07-24 10:24:12	ga_ls8c_ard_3-1-0_101074_2020-07-24_final
2020-07-25 09:28:11	ga_ls8c_ard_3-1-0_092073_2020-07-24_final
2020-07-25 09:28:35	ga_ls8c_ard_3-1-0_092074_2020-07-24_final
2020-07-25 11:07:28	ga_ls8c_ard_3-1-0_108074_2020-07-25_final
2020-08-01 09:34:47	ga_ls8c_ard_3-1-0_093074_2020-08-01_final
2020-08-01 11:13:40	ga_ls8c_ard_3-1-0_109074_2020-08-01_final
2020-08-02 10:17:39	ga_ls8c_ard_3-1-0_100073_2020-08-02_final
2020-08-02 10:18:03	ga_ls8c_ard_3-1-0_100074_2020-08-02_final
2020-08-02 11:56:56	ga_ls8c_ard_3-1-0_116074_2020-08-02_final
2020-08-03 09:22:02	ga_ls8c_ard_3-1-0_091073_2020-08-02_final
2020-08-03 09:22:26	ga_ls8c_ard_3-1-0_091074_2020-08-02_final
2020-08-03 11:00:55	ga_ls8c_ard_3-1-0_107073_2020-08-03_final
2020-08-03 11:01:19	ga_ls8c_ard_3-1-0_107074_2020-08-03_final
2020-08-11 10:11:30	ga_ls8c_ard_3-1-0_099073_2020-08-11_final
2020-08-11 10:11:54	ga_ls8c_ard_3-1-0_099074_2020-08-11_final
2020-08-11 11:50:23	ga_ls8c_ard_3-1-0_115073_2020-08-11_final
2020-08-11 11:50:47	ga_ls8c_ard_3-1-0_115074_2020-08-11_final
2020-08-12 09:16:17	ga_ls8c_ard_3-1-0_090074_2020-08-11_final
2020-08-12 10:54:46	ga_ls8c_ard_3-1-0_106073_2020-08-12_final
2020-08-12 10:55:10	ga_ls8c_ard_3-1-0_106074_2020-08-12_final
2020-08-13 09:59:33	ga_ls8c_ard_3-1-0_097074_2020-08-13_final
2020-08-13 11:38:26	ga_ls8c_ard_3-1-0_113074_2020-08-13_final
2020-08-20 11:44:41	ga_ls8c_ard_3-1-0_114074_2020-08-20_final
2020-08-21 09:10:11	ga_ls8c_ard_3-1-0_089074_2020-08-20_final
2020-08-21 10:48:40	ga_ls8c_ard_3-1-0_105073_2020-08-21_final
2020-08-21 10:49:04	ga_ls8c_ard_3-1-0_105074_2020-08-21_final
2020-08-22 09:53:03	ga_ls8c_ard_3-1-0_096073_2020-08-22_final
2020-08-22 09:53:27	ga_ls8c_ard_3-1-0_096074_2020-08-22_final
2020-08-22 11:32:20	ga_ls8c_ard_3-1-0_112074_2020-08-22_final
2020-08-26 11:07:39	ga_ls8c_ard_3-1-0_108074_2020-08-26_final
2020-08-27 10:12:02	ga_ls8c_ard_3-1-0_099074_2020-08-27_final
2020-08-27 11:50:31	ga_ls8c_ard_3-1-0_115073_2020-08-27_final
2020-08-27 11:50:55	ga_ls8c_ard_3-1-0_115074_2020-08-27_final
2020-10-04 09:35:10	ga_ls8c_ard_3-1-0_093074_2020-10-04_final
2020-10-04 11:14:03	ga_ls8c_ard_3-1-0_109074_2020-10-04_final
2020-10-05 10:18:25	ga_ls8c_ard_3-1-0_100074_2020-10-05_final
2020-10-05 11:57:19	ga_ls8c_ard_3-1-0_116074_2020-10-05_final
2020-10-06 09:22:24	ga_ls8c_ard_3-1-0_091073_2020-10-05_final
2020-10-06 09:22:48	ga_ls8c_ard_3-1-0_091074_2020-10-05_final
2020-10-06 11:01:17	ga_ls8c_ard_3-1-0_107073_2020-10-06_final
2020-10-06 11:01:41	ga_ls8c_ard_3-1-0_107074_2020-10-06_final
2020-11-12 11:20:11	ga_ls8c_ard_3-1-0_110074_2020-11-12_final
2020-11-15 10:12:12	ga_ls8c_ard_3-1-0_099074_2020-11-15_final
2020-11-15 11:51:05	ga_ls8c_ard_3-1-0_115074_2020-11-15_final
2020-11-16 09:16:35	ga_ls8c_ard_3-1-0_090074_2020-11-15_final
2020-11-19 09:47:30	ga_ls8c_ard_3-1-0_095074_2020-11-19_final
2020-11-19 11:26:23	ga_ls8c_ard_3-1-0_111074_2020-11-19_final
2020-11-20 10:30:46	ga_ls8c_ard_3-1-0_102074_2020-11-20_final
2020-11-21 09:35:09	ga_ls8c_ard_3-1-0_093074_2020-11-21_final
2020-11-21 11:14:02	ga_ls8c_ard_3-1-0_109074_2020-11-21_final
2020-11-22 10:18:25	ga_ls8c_ard_3-1-0_100074_2020-11-22_final
2020-11-22 11:57:18	ga_ls8c_ard_3-1-0_116074_2020-11-22_final
2020-12-04 10:43:11	ga_ls8c_ard_3-1-0_104074_2020-12-04_final
2020-12-05 09:47:33	ga_ls8c_ard_3-1-0_095074_2020-12-05_final
2020-12-05 11:26:26	ga_ls8c_ard_3-1-0_111074_2020-12-05_final
2020-12-06 10:30:49	ga_ls8c_ard_3-1-0_102074_2020-12-06_final
2020-12-07 09:35:12	ga_ls8c_ard_3-1-0_093074_2020-12-07_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