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
2015-01-06 09:46:51	ga_ls8c_ard_3-0-0_095073_2015-01-06_final
2015-01-06 11:25:44	ga_ls8c_ard_3-0-0_111073_2015-01-06_final
2015-01-07 10:30:07	ga_ls8c_ard_3-0-0_102073_2015-01-07_final
2015-01-07 10:30:31	ga_ls8c_ard_3-0-0_102074_2015-01-07_final
2015-05-09 09:27:21	ga_ls8c_ard_3-0-0_092073_2015-05-08_final
2015-05-09 11:06:14	ga_ls8c_ard_3-0-0_108073_2015-05-09_final
2015-05-10 10:10:36	ga_ls8c_ard_3-1-0_099073_2015-05-10_final
2015-05-10 10:11:00	ga_ls8c_ard_3-0-0_099074_2015-05-10_final
2015-05-10 11:49:29	ga_ls8c_ard_3-0-0_115073_2015-05-10_final
2015-05-10 11:49:53	ga_ls8c_ard_3-0-0_115074_2015-05-10_final
2015-05-11 09:15:21	ga_ls8c_ard_3-0-0_090074_2015-05-10_final
2015-05-11 10:53:50	ga_ls8c_ard_3-0-0_106073_2015-05-11_final
2016-11-20 10:11:52	ga_ls8c_ard_3-0-0_099073_2016-11-20_final
2016-11-20 10:12:16	ga_ls8c_ard_3-0-0_099074_2016-11-20_final
2016-11-20 11:50:45	ga_ls8c_ard_3-0-0_115073_2016-11-20_final
2016-11-20 11:51:09	ga_ls8c_ard_3-0-0_115074_2016-11-20_final
2016-11-21 09:16:38	ga_ls8c_ard_3-0-0_090074_2016-11-20_final
2016-11-21 10:55:08	ga_ls8c_ard_3-1-0_106073_2016-11-21_final
2016-11-21 10:55:31	ga_ls8c_ard_3-0-0_106074_2016-11-21_final
2016-11-22 09:59:30	ga_ls8c_ard_3-0-0_097073_2016-11-22_final
2016-11-22 09:59:54	ga_ls8c_ard_3-0-0_097074_2016-11-22_final
2016-11-22 11:38:23	ga_ls8c_ard_3-1-0_113073_2016-11-22_final
2016-11-22 11:38:47	ga_ls8c_ard_3-0-0_113074_2016-11-22_final
2016-12-08 09:59:28	ga_ls8c_ard_3-0-0_097073_2016-12-08_final
2016-12-08 09:59:52	ga_ls8c_ard_3-0-0_097074_2016-12-08_final
2016-12-08 11:38:21	ga_ls8c_ard_3-1-0_113073_2016-12-08_final
2016-12-08 11:38:45	ga_ls8c_ard_3-0-0_113074_2016-12-08_final
2016-12-09 10:42:44	ga_ls8c_ard_3-0-0_104073_2016-12-09_final
2016-12-09 10:43:08	ga_ls8c_ard_3-0-0_104074_2016-12-09_final
2016-12-10 09:47:06	ga_ls8c_ard_3-0-0_095073_2016-12-10_final
2016-12-10 09:47:30	ga_ls8c_ard_3-0-0_095074_2016-12-10_final
2016-12-10 11:25:59	ga_ls8c_ard_3-0-0_111073_2016-12-10_final
2016-12-10 11:26:23	ga_ls8c_ard_3-0-0_111074_2016-12-10_final
2017-10-21 09:28:34	ga_ls8c_ard_3-1-0_092073_2017-10-20_final
2017-10-21 09:28:58	ga_ls8c_ard_3-0-0_092074_2017-10-20_final
2017-10-21 11:07:27	ga_ls8c_ard_3-0-0_108073_2017-10-21_final
2017-10-21 11:07:51	ga_ls8c_ard_3-0-0_108074_2017-10-21_final
2017-12-21 10:36:27	ga_ls8c_ard_3-0-0_103073_2017-12-21_final
2017-12-21 10:36:51	ga_ls8c_ard_3-0-0_103074_2017-12-21_final
2017-12-22 09:40:49	ga_ls8c_ard_3-0-0_094073_2017-12-22_final
2017-12-22 09:41:13	ga_ls8c_ard_3-0-0_094074_2017-12-22_final
2017-12-22 11:19:42	ga_ls8c_ard_3-0-0_110073_2017-12-22_final
2017-12-22 11:20:06	ga_ls8c_ard_3-0-0_110074_2017-12-22_final
2017-12-23 10:24:05	ga_ls8c_ard_3-0-0_101073_2017-12-23_final
2017-12-23 10:24:29	ga_ls8c_ard_3-0-0_101074_2017-12-23_final
2017-12-24 09:28:27	ga_ls8c_ard_3-0-0_092073_2017-12-23_final
2017-12-24 09:28:51	ga_ls8c_ard_3-0-0_092074_2017-12-23_final
2017-12-24 11:07:20	ga_ls8c_ard_3-0-0_108073_2017-12-24_final
2017-12-24 11:07:44	ga_ls8c_ard_3-0-0_108074_2017-12-24_final
2018-02-19 09:21:52	ga_ls8c_ard_3-0-0_091073_2018-02-18_final
2018-02-19 09:22:16	ga_ls8c_ard_3-0-0_091074_2018-02-18_final
2018-02-19 11:00:45	ga_ls8c_ard_3-0-0_107073_2018-02-19_final
2018-02-20 10:05:07	ga_ls8c_ard_3-0-0_098073_2018-02-20_final
2018-02-20 11:44:24	ga_ls8c_ard_3-0-0_114074_2018-02-20_final
2018-02-21 09:09:53	ga_ls8c_ard_3-0-0_089074_2018-02-20_final
2018-02-21 10:48:22	ga_ls8c_ard_3-0-0_105073_2018-02-21_final
2018-02-22 09:52:45	ga_ls8c_ard_3-0-0_096073_2018-02-22_final
2018-02-22 09:53:08	ga_ls8c_ard_3-0-0_096074_2018-02-22_final
2018-02-22 11:31:38	ga_ls8c_ard_3-0-0_112073_2018-02-22_final
2018-02-22 11:32:02	ga_ls8c_ard_3-0-0_112074_2018-02-22_final
2018-02-23 10:36:00	ga_ls8c_ard_3-0-0_103073_2018-02-23_final
2018-02-23 10:36:24	ga_ls8c_ard_3-0-0_103074_2018-02-23_final
2018-02-24 09:40:22	ga_ls8c_ard_3-0-0_094073_2018-02-24_final
2018-02-24 09:40:46	ga_ls8c_ard_3-0-0_094074_2018-02-24_final
2018-02-24 11:19:15	ga_ls8c_ard_3-0-0_110073_2018-02-24_final
2018-02-24 11:19:39	ga_ls8c_ard_3-0-0_110074_2018-02-24_final
2018-02-25 10:23:37	ga_ls8c_ard_3-0-0_101073_2018-02-25_final
2018-02-25 10:24:01	ga_ls8c_ard_3-0-0_101074_2018-02-25_final
2018-02-26 09:27:59	ga_ls8c_ard_3-0-0_092073_2018-02-25_final
2018-02-26 09:28:23	ga_ls8c_ard_3-0-0_092074_2018-02-25_final
2018-02-26 11:06:52	ga_ls8c_ard_3-0-0_108073_2018-02-26_final
2018-02-26 11:07:16	ga_ls8c_ard_3-0-0_108074_2018-02-26_final
2018-03-31 10:10:59	ga_ls8c_ard_3-0-0_099073_2018-03-31_final
2018-03-31 11:49:52	ga_ls8c_ard_3-0-0_115073_2018-03-31_final
2018-03-31 11:50:16	ga_ls8c_ard_3-0-0_115074_2018-03-31_final
2018-04-01 10:54:14	ga_ls8c_ard_3-0-0_106073_2018-04-01_final
2018-04-02 09:58:36	ga_ls8c_ard_3-0-0_097073_2018-04-02_final
2018-04-02 09:59:00	ga_ls8c_ard_3-0-0_097074_2018-04-02_final
2018-04-02 11:37:29	ga_ls8c_ard_3-0-0_113073_2018-04-02_final
2018-04-02 11:37:53	ga_ls8c_ard_3-0-0_113074_2018-04-02_final
2018-04-03 10:41:51	ga_ls8c_ard_3-0-0_104073_2018-04-03_final
2018-04-03 10:42:15	ga_ls8c_ard_3-0-0_104074_2018-04-03_final
2018-04-04 09:46:13	ga_ls8c_ard_3-0-0_095073_2018-04-04_final
2018-04-04 09:46:37	ga_ls8c_ard_3-0-0_095074_2018-04-04_final
2018-04-04 11:25:07	ga_ls8c_ard_3-0-0_111073_2018-04-04_final
2018-04-05 10:29:29	ga_ls8c_ard_3-0-0_102073_2018-04-05_final
2018-04-05 10:29:53	ga_ls8c_ard_3-0-0_102074_2018-04-05_final
2018-05-05 10:41:33	ga_ls8c_ard_3-0-0_104073_2018-05-05_final
2018-05-05 10:41:57	ga_ls8c_ard_3-0-0_104074_2018-05-05_final
2018-05-06 09:45:55	ga_ls8c_ard_3-0-0_095073_2018-05-06_final
2018-05-06 11:24:48	ga_ls8c_ard_3-0-0_111073_2018-05-06_final
2018-05-06 11:25:12	ga_ls8c_ard_3-0-0_111074_2018-05-06_final
2018-05-07 10:29:10	ga_ls8c_ard_3-0-0_102073_2018-05-07_final
2018-07-17 10:35:25	ga_ls8c_ard_3-0-0_103073_2018-07-17_final
2018-07-17 10:35:49	ga_ls8c_ard_3-0-0_103074_2018-07-17_final
2018-07-18 09:39:49	ga_ls8c_ard_3-0-0_094073_2018-07-18_final
2018-07-18 09:40:12	ga_ls8c_ard_3-0-0_094074_2018-07-18_final
2018-07-18 11:18:42	ga_ls8c_ard_3-0-0_110073_2018-07-18_final
2018-07-18 11:19:06	ga_ls8c_ard_3-0-0_110074_2018-07-18_final
2018-07-19 10:23:05	ga_ls8c_ard_3-0-0_101073_2018-07-19_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