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
2013-04-27 10:11:05	ga_ls8c_ard_3-0-0_098083_2013-04-27_final
2013-04-27 10:11:29	ga_ls8c_ard_3-0-0_098084_2013-04-27_final
2013-04-28 09:15:28	ga_ls8c_ard_3-0-0_089083_2013-04-27_final
2013-04-28 09:15:52	ga_ls8c_ard_3-0-0_089084_2013-04-27_final
2013-04-29 09:59:08	ga_ls8c_ard_3-0-0_096084_2013-04-29_final
2013-05-01 09:46:48	ga_ls8c_ard_3-0-0_094084_2013-05-01_final
2013-05-22 10:05:11	ga_ls8c_ard_3-0-0_097083_2013-05-22_final
2013-05-22 10:05:35	ga_ls8c_ard_3-0-0_097084_2013-05-22_final
2013-05-24 09:52:50	ga_ls8c_ard_3-0-0_095083_2013-05-24_final
2013-05-24 09:53:14	ga_ls8c_ard_3-0-0_095084_2013-05-24_final
2013-05-26 09:40:29	ga_ls8c_ard_3-0-0_093083_2013-05-26_final
2013-05-26 09:40:53	ga_ls8c_ard_3-0-0_093084_2013-05-26_final
2013-05-26 11:19:22	ga_ls8c_ard_3-0-0_109083_2013-05-26_final
2013-07-02 09:58:57	ga_ls8c_ard_3-0-0_096083_2013-07-02_final
2013-07-02 09:59:21	ga_ls8c_ard_3-0-0_096084_2013-07-02_final
2013-07-02 11:37:50	ga_ls8c_ard_3-0-0_112083_2013-07-02_final
2013-07-02 11:38:14	ga_ls8c_ard_3-0-0_112084_2013-07-02_final
2013-07-04 09:46:35	ga_ls8c_ard_3-0-0_094083_2013-07-04_final
2013-07-04 09:46:59	ga_ls8c_ard_3-0-0_094084_2013-07-04_final
2013-07-04 11:25:29	ga_ls8c_ard_3-0-0_110083_2013-07-04_final
2013-07-04 11:25:52	ga_ls8c_ard_3-0-0_110084_2013-07-04_final
2013-08-25 09:21:56	ga_ls8c_ard_3-0-0_090083_2013-08-24_final
2013-08-25 09:22:20	ga_ls8c_ard_3-0-0_090084_2013-08-24_final
2013-08-25 11:00:49	ga_ls8c_ard_3-0-0_106083_2013-08-25_final
2013-08-26 10:05:36	ga_ls8c_ard_3-0-0_097084_2013-08-26_final
2013-08-26 11:44:05	ga_ls8c_ard_3-0-0_113083_2013-08-26_final
2013-08-26 11:44:29	ga_ls8c_ard_3-0-0_113084_2013-08-26_final
2013-08-28 09:52:51	ga_ls8c_ard_3-0-0_095083_2013-08-28_final
2013-08-28 09:53:14	ga_ls8c_ard_3-0-0_095084_2013-08-28_final
2013-08-28 11:31:44	ga_ls8c_ard_3-0-0_111083_2013-08-28_final
2013-08-28 11:32:08	ga_ls8c_ard_3-0-0_111084_2013-08-28_final
2014-08-20 10:09:25	ga_ls8c_ard_3-0-0_098083_2014-08-20_final
2014-08-20 10:09:48	ga_ls8c_ard_3-0-0_098084_2014-08-20_final
2014-08-21 09:13:47	ga_ls8c_ard_3-0-0_089083_2014-08-20_final
2014-08-21 09:14:11	ga_ls8c_ard_3-0-0_089084_2014-08-20_final
2014-08-22 09:57:03	ga_ls8c_ard_3-0-0_096083_2014-08-22_final
2014-08-22 09:57:27	ga_ls8c_ard_3-0-0_096084_2014-08-22_final
2014-08-22 11:35:56	ga_ls8c_ard_3-0-0_112083_2014-08-22_final
2014-08-22 11:36:20	ga_ls8c_ard_3-0-0_112084_2014-08-22_final
2014-08-24 09:44:41	ga_ls8c_ard_3-0-0_094083_2014-08-24_final
2014-08-24 09:45:05	ga_ls8c_ard_3-0-0_094084_2014-08-24_final
2014-08-24 11:23:35	ga_ls8c_ard_3-0-0_110083_2014-08-24_final
2014-08-24 11:23:58	ga_ls8c_ard_3-0-0_110084_2014-08-24_final
2014-08-25 10:27:57	ga_ls8c_ard_3-0-0_101083_2014-08-25_final
2015-01-15 09:44:39	ga_ls8c_ard_3-0-0_094083_2015-01-15_final
2015-01-15 09:45:02	ga_ls8c_ard_3-0-0_094084_2015-01-15_final
2015-01-15 11:23:32	ga_ls8c_ard_3-0-0_110083_2015-01-15_final
2015-01-15 11:23:55	ga_ls8c_ard_3-0-0_110084_2015-01-15_final
2015-01-16 10:27:54	ga_ls8c_ard_3-0-0_101083_2015-01-16_final
2015-02-16 09:44:25	ga_ls8c_ard_3-0-0_094083_2015-02-16_final
2015-02-16 09:44:49	ga_ls8c_ard_3-0-0_094084_2015-02-16_final
2015-02-16 11:23:18	ga_ls8c_ard_3-0-0_110083_2015-02-16_final
2015-02-16 11:23:42	ga_ls8c_ard_3-0-0_110084_2015-02-16_final
2015-02-17 10:27:41	ga_ls8c_ard_3-0-0_101083_2015-02-17_final
2015-02-18 09:32:04	ga_ls8c_ard_3-0-0_092083_2015-02-18_final
2015-02-18 09:32:28	ga_ls8c_ard_3-0-0_092084_2015-02-18_final
2015-02-18 11:10:57	ga_ls8c_ard_3-0-0_108083_2015-02-18_final
2015-02-18 11:11:21	ga_ls8c_ard_3-0-0_108084_2015-02-18_final
2015-02-19 10:15:20	ga_ls8c_ard_3-0-0_099083_2015-02-19_final
2015-02-19 10:15:44	ga_ls8c_ard_3-0-0_099084_2015-02-19_final
2015-02-20 09:19:42	ga_ls8c_ard_3-0-0_090083_2015-02-19_final
2015-02-20 09:20:06	ga_ls8c_ard_3-0-0_090084_2015-02-19_final
2015-02-20 10:58:35	ga_ls8c_ard_3-0-0_106083_2015-02-20_final
2015-02-20 10:58:59	ga_ls8c_ard_3-0-0_106084_2015-02-20_final
2015-03-19 10:39:49	ga_ls8c_ard_3-0-0_103083_2015-03-19_final
2015-03-20 09:44:11	ga_ls8c_ard_3-0-0_094083_2015-03-20_final
2015-03-20 09:44:35	ga_ls8c_ard_3-0-0_094084_2015-03-20_final
2015-03-20 11:23:04	ga_ls8c_ard_3-0-0_110083_2015-03-20_final
2015-03-20 11:23:28	ga_ls8c_ard_3-0-0_110084_2015-03-20_final
2015-03-21 10:27:26	ga_ls8c_ard_3-0-0_101083_2015-03-21_final
2015-03-21 10:27:50	ga_ls8c_ard_3-0-0_101084_2015-03-21_final
2015-04-04 10:39:37	ga_ls8c_ard_3-0-0_103083_2015-04-04_final
2015-04-05 09:43:59	ga_ls8c_ard_3-0-0_094083_2015-04-05_final
2015-04-05 09:44:23	ga_ls8c_ard_3-0-0_094084_2015-04-05_final
2015-04-05 11:22:52	ga_ls8c_ard_3-0-0_110083_2015-04-05_final
2015-04-05 11:23:16	ga_ls8c_ard_3-0-0_110084_2015-04-05_final
2015-04-06 10:27:15	ga_ls8c_ard_3-0-0_101083_2015-04-06_final
2017-07-07 10:33:51	ga_ls8c_ard_3-0-0_102083_2017-07-07_final
2017-07-08 09:38:14	ga_ls8c_ard_3-0-0_093083_2017-07-08_final
2017-07-08 09:38:38	ga_ls8c_ard_3-0-0_093084_2017-07-08_final
2017-07-08 11:17:07	ga_ls8c_ard_3-0-0_109083_2017-07-08_final
2017-07-08 11:17:31	ga_ls8c_ard_3-0-0_109084_2017-07-08_final
2017-07-09 10:21:30	ga_ls8c_ard_3-0-0_100083_2017-07-09_final
2017-07-09 10:21:54	ga_ls8c_ard_3-0-0_100084_2017-07-09_final
2017-07-14 10:40:03	ga_ls8c_ard_3-0-0_103083_2017-07-14_final
2017-07-15 09:44:26	ga_ls8c_ard_3-0-0_094083_2017-07-15_final
2017-07-15 09:44:50	ga_ls8c_ard_3-0-0_094084_2017-07-15_final
2017-07-15 11:23:19	ga_ls8c_ard_3-0-0_110083_2017-07-15_final
2017-07-15 11:23:43	ga_ls8c_ard_3-0-0_110084_2017-07-15_final
2017-07-16 10:27:42	ga_ls8c_ard_3-0-0_101083_2017-07-16_final
2017-07-16 10:28:06	ga_ls8c_ard_3-0-0_101084_2017-07-16_final
2023-02-03 10:52:59	ga_ls8c_ard_3-2-1_105083_2023-02-03_final
2023-02-04 09:57:21	ga_ls8c_ard_3-2-1_096083_2023-02-04_final
2023-02-04 09:57:45	ga_ls8c_ard_3-2-1_096084_2023-02-04_final
2023-02-04 11:36:14	ga_ls8c_ard_3-2-1_112083_2023-02-04_final
2023-02-04 11:36:38	ga_ls8c_ard_3-2-1_112084_2023-02-04_final
2023-03-23 09:13:33	ga_ls8c_ard_3-2-1_089083_2023-03-22_final
2023-03-23 09:13:57	ga_ls8c_ard_3-2-1_089084_2023-03-22_final
2023-03-23 10:52:26	ga_ls8c_ard_3-2-1_105083_2023-03-23_final
2023-03-24 09:56:48	ga_ls8c_ard_3-2-1_096083_2023-03-24_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