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
2014-07-19 10:05:37	ga_ls8c_ard_3-0-0_098074_2014-07-19_final
2014-07-19 11:44:30	ga_ls8c_ard_3-0-0_114074_2014-07-19_final
2014-07-20 09:10:00	ga_ls8c_ard_3-0-0_089074_2014-07-19_final
2014-07-20 10:48:53	ga_ls8c_ard_3-0-0_105074_2014-07-20_final
2014-07-21 09:53:15	ga_ls8c_ard_3-0-0_096074_2014-07-21_final
2014-07-21 11:32:08	ga_ls8c_ard_3-0-0_112074_2014-07-21_final
2014-07-22 10:36:07	ga_ls8c_ard_3-0-0_103073_2014-07-22_final
2014-07-22 10:36:31	ga_ls8c_ard_3-0-0_103074_2014-07-22_final
2014-07-23 09:40:54	ga_ls8c_ard_3-0-0_094074_2014-07-23_final
2014-07-23 11:19:47	ga_ls8c_ard_3-0-0_110074_2014-07-23_final
2014-07-24 10:24:09	ga_ls8c_ard_3-0-0_101074_2014-07-24_final
2014-07-25 09:28:08	ga_ls8c_ard_3-1-0_092073_2014-07-24_final
2014-07-25 09:28:32	ga_ls8c_ard_3-0-0_092074_2014-07-24_final
2014-07-25 11:07:25	ga_ls8c_ard_3-0-0_108074_2014-07-25_final
2014-07-26 10:11:49	ga_ls8c_ard_3-0-0_099074_2014-07-26_final
2014-07-26 11:50:42	ga_ls8c_ard_3-0-0_115074_2014-07-26_final
2014-07-27 10:55:05	ga_ls8c_ard_3-0-0_106074_2014-07-27_final
2014-09-11 09:28:48	ga_ls8c_ard_3-0-0_092074_2014-09-10_final
2014-09-11 11:07:41	ga_ls8c_ard_3-0-0_108074_2014-09-11_final
2014-09-12 10:12:04	ga_ls8c_ard_3-0-0_099074_2014-09-12_final
2014-09-12 11:50:57	ga_ls8c_ard_3-0-0_115074_2014-09-12_final
2014-09-13 10:55:20	ga_ls8c_ard_3-0-0_106074_2014-09-13_final
2014-09-27 09:28:46	ga_ls8c_ard_3-0-0_092074_2014-09-26_final
2014-09-27 11:07:39	ga_ls8c_ard_3-0-0_108074_2014-09-27_final
2014-09-28 10:12:03	ga_ls8c_ard_3-0-0_099074_2014-09-28_final
2014-09-28 11:50:56	ga_ls8c_ard_3-0-0_115074_2014-09-28_final
2014-09-29 10:55:19	ga_ls8c_ard_3-0-0_106074_2014-09-29_final
2014-10-07 10:05:56	ga_ls8c_ard_3-0-0_098074_2014-10-07_final
2014-10-07 11:44:49	ga_ls8c_ard_3-0-0_114074_2014-10-07_final
2014-10-08 09:10:19	ga_ls8c_ard_3-0-0_089074_2014-10-07_final
2014-10-08 10:49:12	ga_ls8c_ard_3-0-0_105074_2014-10-08_final
2014-10-09 09:53:35	ga_ls8c_ard_3-0-0_096074_2014-10-09_final
2014-10-09 11:32:28	ga_ls8c_ard_3-0-0_112074_2014-10-09_final
2014-10-10 10:36:50	ga_ls8c_ard_3-0-0_103074_2014-10-10_final
2014-10-11 09:41:14	ga_ls8c_ard_3-0-0_094074_2014-10-11_final
2014-10-11 11:20:07	ga_ls8c_ard_3-0-0_110074_2014-10-11_final
2014-10-12 10:24:30	ga_ls8c_ard_3-0-0_101074_2014-10-12_final
2014-12-07 09:34:59	ga_ls8c_ard_3-0-0_093074_2014-12-07_final
2014-12-07 11:13:52	ga_ls8c_ard_3-0-0_109074_2014-12-07_final
2014-12-08 10:18:14	ga_ls8c_ard_3-0-0_100074_2014-12-08_final
2014-12-09 09:22:36	ga_ls8c_ard_3-0-0_091074_2014-12-08_final
2014-12-09 11:01:29	ga_ls8c_ard_3-0-0_107074_2014-12-09_final
2014-12-10 10:05:51	ga_ls8c_ard_3-0-0_098074_2014-12-10_final
2014-12-10 11:44:44	ga_ls8c_ard_3-0-0_114074_2014-12-10_final
2014-12-11 09:10:12	ga_ls8c_ard_3-0-0_089074_2014-12-10_final
2014-12-11 10:49:05	ga_ls8c_ard_3-0-0_105074_2014-12-11_final
2014-12-12 09:53:27	ga_ls8c_ard_3-0-0_096074_2014-12-12_final
2014-12-12 11:32:20	ga_ls8c_ard_3-0-0_112074_2014-12-12_final
2015-08-08 10:48:38	ga_ls8c_ard_3-0-0_105074_2015-08-08_final
2015-08-09 09:53:02	ga_ls8c_ard_3-0-0_096074_2015-08-09_final
2015-08-09 11:31:31	ga_ls8c_ard_3-0-0_112073_2015-08-09_final
2015-08-09 11:31:55	ga_ls8c_ard_3-0-0_112074_2015-08-09_final
2015-08-23 10:05:31	ga_ls8c_ard_3-0-0_098074_2015-08-23_final
2015-08-23 11:44:24	ga_ls8c_ard_3-0-0_114074_2015-08-23_final
2015-08-24 09:09:54	ga_ls8c_ard_3-0-0_089074_2015-08-23_final
2015-08-24 10:48:23	ga_ls8c_ard_3-0-0_105073_2015-08-24_final
2015-08-24 10:48:47	ga_ls8c_ard_3-0-0_105074_2015-08-24_final
2015-08-25 09:52:46	ga_ls8c_ard_3-0-0_096073_2015-08-25_final
2015-08-25 09:53:10	ga_ls8c_ard_3-0-0_096074_2015-08-25_final
2015-08-25 11:32:03	ga_ls8c_ard_3-0-0_112074_2015-08-25_final
2015-11-24 09:34:59	ga_ls8c_ard_3-0-0_093074_2015-11-24_final
2015-11-24 11:13:52	ga_ls8c_ard_3-0-0_109074_2015-11-24_final
2015-11-25 10:18:15	ga_ls8c_ard_3-0-0_100074_2015-11-25_final
2015-11-25 11:57:08	ga_ls8c_ard_3-0-0_116074_2015-11-25_final
2015-11-26 09:22:14	ga_ls8c_ard_3-0-0_091073_2015-11-25_final
2015-11-26 09:22:38	ga_ls8c_ard_3-0-0_091074_2015-11-25_final
2015-11-26 11:01:31	ga_ls8c_ard_3-0-0_107074_2015-11-26_final
2015-11-27 10:05:54	ga_ls8c_ard_3-0-0_098074_2015-11-27_final
2015-11-27 11:44:47	ga_ls8c_ard_3-0-0_114074_2015-11-27_final
2015-11-28 09:10:16	ga_ls8c_ard_3-0-0_089074_2015-11-27_final
2015-11-28 10:49:09	ga_ls8c_ard_3-0-0_105074_2015-11-28_final
2015-11-29 09:53:32	ga_ls8c_ard_3-0-0_096074_2015-11-29_final
2015-11-29 11:32:25	ga_ls8c_ard_3-0-0_112074_2015-11-29_final
2019-03-10 09:22:06	ga_ls8c_ard_3-1-0_091074_2019-03-09_final
2019-03-10 11:00:59	ga_ls8c_ard_3-1-0_107074_2019-03-10_final
2019-03-11 10:05:22	ga_ls8c_ard_3-1-0_098074_2019-03-11_final
2019-03-11 11:44:15	ga_ls8c_ard_3-1-0_114074_2019-03-11_final
2019-03-12 09:09:44	ga_ls8c_ard_3-1-0_089074_2019-03-11_final
2019-03-12 10:48:37	ga_ls8c_ard_3-1-0_105074_2019-03-12_final
2019-03-13 09:52:59	ga_ls8c_ard_3-1-0_096074_2019-03-13_final
2019-03-13 11:31:52	ga_ls8c_ard_3-1-0_112074_2019-03-13_final
2019-04-08 10:29:58	ga_ls8c_ard_3-1-0_102074_2019-04-08_final
2019-04-09 09:34:21	ga_ls8c_ard_3-1-0_093074_2019-04-09_final
2019-04-09 11:13:14	ga_ls8c_ard_3-1-0_109074_2019-04-09_final
2019-04-10 10:17:36	ga_ls8c_ard_3-1-0_100074_2019-04-10_final
2019-04-10 11:56:29	ga_ls8c_ard_3-1-0_116074_2019-04-10_final
2019-04-11 09:21:58	ga_ls8c_ard_3-1-0_091074_2019-04-10_final
2019-04-11 11:00:51	ga_ls8c_ard_3-1-0_107074_2019-04-11_final
2019-04-29 09:09:32	ga_ls8c_ard_3-0-0_089074_2019-04-28_final
2019-06-16 09:09:57	ga_ls8c_ard_3-1-0_089074_2019-06-15_final
2019-06-16 10:48:50	ga_ls8c_ard_3-1-0_105074_2019-06-16_final
2019-06-17 09:53:13	ga_ls8c_ard_3-1-0_096074_2019-06-17_final
2019-06-17 11:32:06	ga_ls8c_ard_3-1-0_112074_2019-06-17_final
2019-09-25 09:28:59	ga_ls8c_ard_3-1-0_092074_2019-09-24_final
2019-09-25 11:07:52	ga_ls8c_ard_3-1-0_108074_2019-09-25_final
2019-11-09 10:37:01	ga_ls8c_ard_3-1-0_103074_2019-11-09_final
2019-11-10 09:41:23	ga_ls8c_ard_3-1-0_094074_2019-11-10_final
2019-11-10 11:20:16	ga_ls8c_ard_3-1-0_110074_2019-11-10_final
2019-11-11 10:24:39	ga_ls8c_ard_3-1-0_101074_2019-11-11_final
2019-11-12 09:29:01	ga_ls8c_ard_3-1-0_092074_2019-11-11_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