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 09:40:06	ga_ls8c_ard_3-0-0_093083_2013-11-18_final
2013-11-18 09:40:30	ga_ls8c_ard_3-0-0_093084_2013-11-18_final
2013-11-20 09:27:42	ga_ls8c_ard_3-0-0_091083_2013-11-19_final
2013-11-20 11:06:35	ga_ls8c_ard_3-0-0_107083_2013-11-20_final
2013-11-20 11:06:59	ga_ls8c_ard_3-0-0_107084_2013-11-20_final
2013-11-21 10:10:57	ga_ls8c_ard_3-0-0_098083_2013-11-21_final
2013-11-22 09:15:18	ga_ls8c_ard_3-0-0_089083_2013-11-21_final
2013-11-23 09:58:33	ga_ls8c_ard_3-0-0_096083_2013-11-23_final
2013-11-23 09:58:57	ga_ls8c_ard_3-0-0_096084_2013-11-23_final
2013-11-23 11:37:27	ga_ls8c_ard_3-0-0_112083_2013-11-23_final
2013-11-23 11:37:51	ga_ls8c_ard_3-0-0_112084_2013-11-23_final
2013-11-25 09:46:13	ga_ls8c_ard_3-0-0_094083_2013-11-25_final
2013-11-25 09:46:37	ga_ls8c_ard_3-0-0_094084_2013-11-25_final
2013-11-25 11:25:06	ga_ls8c_ard_3-0-0_110083_2013-11-25_final
2013-11-26 10:29:29	ga_ls8c_ard_3-0-0_101083_2013-11-26_final
2014-05-24 09:19:23	ga_ls8c_ard_3-0-0_090083_2014-05-23_final
2014-05-25 10:02:40	ga_ls8c_ard_3-0-0_097083_2014-05-25_final
2014-05-25 10:03:04	ga_ls8c_ard_3-0-0_097084_2014-05-25_final
2014-05-25 11:41:33	ga_ls8c_ard_3-0-0_113083_2014-05-25_final
2014-05-25 11:41:57	ga_ls8c_ard_3-0-0_113084_2014-05-25_final
2016-05-23 09:56:35	ga_ls8c_ard_3-0-0_096083_2016-05-23_final
2016-05-23 09:56:59	ga_ls8c_ard_3-0-0_096084_2016-05-23_final
2016-05-23 11:35:28	ga_ls8c_ard_3-0-0_112083_2016-05-23_final
2016-05-23 11:35:52	ga_ls8c_ard_3-0-0_112084_2016-05-23_final
2016-05-24 10:39:51	ga_ls8c_ard_3-0-0_103083_2016-05-24_final
2016-06-12 09:31:57	ga_ls8c_ard_3-0-0_092083_2016-06-12_final
2016-06-12 09:32:21	ga_ls8c_ard_3-0-0_092084_2016-06-12_final
2016-06-12 11:10:50	ga_ls8c_ard_3-0-0_108083_2016-06-12_final
2016-06-12 11:11:14	ga_ls8c_ard_3-0-0_108084_2016-06-12_final
2016-08-02 10:03:10	ga_ls8c_ard_3-0-0_097083_2016-08-02_final
2016-08-02 10:03:34	ga_ls8c_ard_3-0-0_097084_2016-08-02_final
2016-08-02 11:42:03	ga_ls8c_ard_3-0-0_113083_2016-08-02_final
2016-08-02 11:42:27	ga_ls8c_ard_3-0-0_113084_2016-08-02_final
2016-08-03 09:07:33	ga_ls8c_ard_3-0-0_088083_2016-08-02_final
2016-08-03 09:07:57	ga_ls8c_ard_3-0-0_088084_2016-08-02_final
2016-08-03 10:46:26	ga_ls8c_ard_3-0-0_104083_2016-08-03_final
2016-08-04 09:50:49	ga_ls8c_ard_3-0-0_095083_2016-08-04_final
2016-08-04 09:51:13	ga_ls8c_ard_3-0-0_095084_2016-08-04_final
2016-08-04 11:29:42	ga_ls8c_ard_3-0-0_111083_2016-08-04_final
2016-08-04 11:30:06	ga_ls8c_ard_3-0-0_111084_2016-08-04_final
2016-08-05 10:34:05	ga_ls8c_ard_3-0-0_102083_2016-08-05_final
2016-08-28 10:40:24	ga_ls8c_ard_3-0-0_103083_2016-08-28_final
2016-08-29 09:44:47	ga_ls8c_ard_3-0-0_094083_2016-08-29_final
2016-08-29 09:45:11	ga_ls8c_ard_3-0-0_094084_2016-08-29_final
2016-08-29 11:23:40	ga_ls8c_ard_3-0-0_110083_2016-08-29_final
2016-08-29 11:24:04	ga_ls8c_ard_3-0-0_110084_2016-08-29_final
2016-08-30 10:28:03	ga_ls8c_ard_3-0-0_101083_2016-08-30_final
2016-08-30 10:28:27	ga_ls8c_ard_3-0-0_101084_2016-08-30_final
2016-08-31 09:32:26	ga_ls8c_ard_3-0-0_092083_2016-08-31_final
2016-08-31 09:32:50	ga_ls8c_ard_3-0-0_092084_2016-08-31_final
2016-08-31 11:11:19	ga_ls8c_ard_3-0-0_108083_2016-08-31_final
2016-08-31 11:11:43	ga_ls8c_ard_3-0-0_108084_2016-08-31_final
2016-12-03 09:44:56	ga_ls8c_ard_3-0-0_094083_2016-12-03_final
2016-12-03 09:45:20	ga_ls8c_ard_3-0-0_094084_2016-12-03_final
2016-12-03 11:23:49	ga_ls8c_ard_3-0-0_110083_2016-12-03_final
2016-12-04 10:28:12	ga_ls8c_ard_3-0-0_101083_2016-12-04_final
2016-12-04 10:28:36	ga_ls8c_ard_3-0-0_101084_2016-12-04_final
2016-12-05 09:32:34	ga_ls8c_ard_3-0-0_092083_2016-12-05_final
2016-12-05 11:11:27	ga_ls8c_ard_3-0-0_108083_2016-12-05_final
2016-12-06 10:15:50	ga_ls8c_ard_3-0-0_099083_2016-12-06_final
2016-12-06 10:16:14	ga_ls8c_ard_3-0-0_099084_2016-12-06_final
2016-12-07 09:20:12	ga_ls8c_ard_3-0-0_090083_2016-12-06_final
2016-12-07 10:59:05	ga_ls8c_ard_3-0-0_106083_2016-12-07_final
2016-12-07 10:59:29	ga_ls8c_ard_3-0-0_106084_2016-12-07_final
2017-01-05 10:28:04	ga_ls8c_ard_3-0-0_101083_2017-01-05_final
2017-01-06 09:32:27	ga_ls8c_ard_3-0-0_092083_2017-01-06_final
2017-01-06 11:11:20	ga_ls8c_ard_3-0-0_108083_2017-01-06_final
2017-01-07 10:15:42	ga_ls8c_ard_3-0-0_099083_2017-01-07_final
2017-01-07 10:16:06	ga_ls8c_ard_3-0-0_099084_2017-01-07_final
2017-01-08 09:20:05	ga_ls8c_ard_3-0-0_090083_2017-01-07_final
2017-01-08 09:20:29	ga_ls8c_ard_3-0-0_090084_2017-01-07_final
2017-01-08 10:58:58	ga_ls8c_ard_3-0-0_106083_2017-01-08_final
2017-01-08 10:59:22	ga_ls8c_ard_3-0-0_106084_2017-01-08_final
2017-01-09 10:03:20	ga_ls8c_ard_3-0-0_097083_2017-01-09_final
2017-01-09 10:03:44	ga_ls8c_ard_3-0-0_097084_2017-01-09_final
2017-01-09 11:42:13	ga_ls8c_ard_3-0-0_113083_2017-01-09_final
2017-01-09 11:42:37	ga_ls8c_ard_3-0-0_113084_2017-01-09_final
2017-02-05 09:44:37	ga_ls8c_ard_3-0-0_094083_2017-02-05_final
2017-02-05 09:45:01	ga_ls8c_ard_3-0-0_094084_2017-02-05_final
2017-02-05 11:23:30	ga_ls8c_ard_3-0-0_110083_2017-02-05_final
2017-02-06 10:27:52	ga_ls8c_ard_3-0-0_101083_2017-02-06_final
2017-02-06 10:28:16	ga_ls8c_ard_3-0-0_101084_2017-02-06_final
2017-02-07 09:32:14	ga_ls8c_ard_3-0-0_092083_2017-02-07_final
2017-02-07 11:11:07	ga_ls8c_ard_3-0-0_108083_2017-02-07_final
2017-02-07 11:11:31	ga_ls8c_ard_3-0-0_108084_2017-02-07_final
2017-02-08 10:15:29	ga_ls8c_ard_3-0-0_099083_2017-02-08_final
2017-02-08 10:15:53	ga_ls8c_ard_3-0-0_099084_2017-02-08_final
2017-02-09 09:19:51	ga_ls8c_ard_3-0-0_090083_2017-02-08_final
2017-02-09 10:58:44	ga_ls8c_ard_3-0-0_106083_2017-02-09_final
2017-02-09 10:59:08	ga_ls8c_ard_3-0-0_106084_2017-02-09_final
2017-03-12 10:15:16	ga_ls8c_ard_3-0-0_099083_2017-03-12_final
2017-03-13 09:19:38	ga_ls8c_ard_3-0-0_090083_2017-03-12_final
2017-03-13 10:58:31	ga_ls8c_ard_3-0-0_106083_2017-03-13_final
2017-03-14 10:02:53	ga_ls8c_ard_3-0-0_097083_2017-03-14_final
2017-03-14 10:03:17	ga_ls8c_ard_3-0-0_097084_2017-03-14_final
2017-03-14 11:41:46	ga_ls8c_ard_3-0-0_113083_2017-03-14_final
2017-03-15 09:07:15	ga_ls8c_ard_3-0-0_088083_2017-03-14_final
2017-03-15 10:46:08	ga_ls8c_ard_3-0-0_104083_2017-03-15_final
2017-03-16 09:50:30	ga_ls8c_ard_3-0-0_095083_2017-03-16_final
2017-03-16 09:50:54	ga_ls8c_ard_3-0-0_095084_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