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
2013-05-04 11:53:49	ga_ls8c_ard_3-0-0_115077_2013-05-04_final
2013-05-04 11:54:13	ga_ls8c_ard_3-0-0_115078_2013-05-04_final
2013-05-04 11:54:37	ga_ls8c_ard_3-0-0_115079_2013-05-04_final
2013-05-13 11:49:22	ga_ls8c_ard_3-0-0_114081_2013-05-13_final
2013-05-20 11:54:01	ga_ls8c_ard_3-0-0_115077_2013-05-20_final
2013-05-20 11:54:25	ga_ls8c_ard_3-0-0_115078_2013-05-20_final
2013-05-20 11:54:49	ga_ls8c_ard_3-0-0_115079_2013-05-20_final
2013-06-21 11:53:55	ga_ls8c_ard_3-0-0_115077_2013-06-21_final
2013-06-21 11:54:19	ga_ls8c_ard_3-0-0_115078_2013-06-21_final
2013-08-24 11:54:03	ga_ls8c_ard_3-0-0_115077_2013-08-24_final
2013-08-24 11:54:27	ga_ls8c_ard_3-0-0_115078_2013-08-24_final
2013-08-24 11:54:51	ga_ls8c_ard_3-0-0_115079_2013-08-24_final
2013-08-24 11:55:15	ga_ls8c_ard_3-0-0_115080_2013-08-24_final
2013-09-25 11:53:53	ga_ls8c_ard_3-0-0_115077_2013-09-25_final
2013-09-25 11:54:17	ga_ls8c_ard_3-0-0_115078_2013-09-25_final
2013-09-25 11:54:41	ga_ls8c_ard_3-0-0_115079_2013-09-25_final
2013-10-04 11:49:18	ga_ls8c_ard_3-0-0_114081_2013-10-04_final
2013-10-11 11:53:53	ga_ls8c_ard_3-0-0_115077_2013-10-11_final
2013-10-11 11:54:17	ga_ls8c_ard_3-0-0_115078_2013-10-11_final
2013-10-11 11:54:41	ga_ls8c_ard_3-0-0_115079_2013-10-11_final
2013-10-20 11:49:14	ga_ls8c_ard_3-0-0_114081_2013-10-20_final
2013-11-12 11:53:44	ga_ls8c_ard_3-0-0_115077_2013-11-12_final
2013-11-12 11:54:08	ga_ls8c_ard_3-0-0_115078_2013-11-12_final
2013-11-12 11:54:32	ga_ls8c_ard_3-0-0_115079_2013-11-12_final
2013-11-12 11:54:56	ga_ls8c_ard_3-0-0_115080_2013-11-12_final
2015-06-27 11:51:21	ga_ls8c_ard_3-0-0_115077_2015-06-27_final
2015-06-27 11:51:45	ga_ls8c_ard_3-0-0_115078_2015-06-27_final
2015-06-27 11:52:09	ga_ls8c_ard_3-0-0_115079_2015-06-27_final
2015-06-27 11:52:33	ga_ls8c_ard_3-0-0_115080_2015-06-27_final
2015-07-04 11:56:25	ga_ls8c_ard_3-0-0_116074_2015-07-04_final
2015-07-04 11:56:49	ga_ls8c_ard_3-0-0_116075_2015-07-04_final
2015-07-04 11:57:13	ga_ls8c_ard_3-0-0_116076_2015-07-04_final
2015-07-04 11:57:37	ga_ls8c_ard_3-0-0_116077_2015-07-04_final
2015-07-04 11:58:01	ga_ls8c_ard_3-0-0_116078_2015-07-04_final
2015-07-06 11:46:53	ga_ls8c_ard_3-0-0_114081_2015-07-06_final
2015-07-22 11:47:00	ga_ls8c_ard_3-0-0_114081_2015-07-22_final
2015-08-05 11:56:36	ga_ls8c_ard_3-0-0_116074_2015-08-05_final
2015-08-05 11:57:00	ga_ls8c_ard_3-0-0_116075_2015-08-05_final
2015-08-05 11:57:24	ga_ls8c_ard_3-0-0_116076_2015-08-05_final
2015-08-05 11:57:48	ga_ls8c_ard_3-0-0_116077_2015-08-05_final
2015-08-05 11:58:12	ga_ls8c_ard_3-0-0_116078_2015-08-05_final
2015-08-07 11:47:03	ga_ls8c_ard_3-0-0_114081_2015-08-07_final
2015-08-23 11:47:11	ga_ls8c_ard_3-0-0_114081_2015-08-23_final
2015-09-08 11:47:17	ga_ls8c_ard_3-0-0_114081_2015-09-08_final
2015-11-25 11:57:08	ga_ls8c_ard_3-0-0_116074_2015-11-25_final
2015-11-25 11:57:32	ga_ls8c_ard_3-0-0_116075_2015-11-25_final
2015-11-25 11:57:56	ga_ls8c_ard_3-0-0_116076_2015-11-25_final
2015-11-25 11:58:20	ga_ls8c_ard_3-0-0_116077_2015-11-25_final
2015-11-25 11:58:44	ga_ls8c_ard_3-0-0_116078_2015-11-25_final
2015-11-27 11:47:34	ga_ls8c_ard_3-0-0_114081_2015-11-27_final
2017-10-13 11:57:16	ga_ls8c_ard_3-0-0_116074_2017-10-13_final
2017-10-13 11:57:40	ga_ls8c_ard_3-0-0_116075_2017-10-13_final
2017-10-13 11:58:04	ga_ls8c_ard_3-0-0_116076_2017-10-13_final
2017-10-13 11:58:28	ga_ls8c_ard_3-0-0_116077_2017-10-13_final
2017-10-13 11:58:52	ga_ls8c_ard_3-0-0_116078_2017-10-13_final
2017-12-09 11:52:09	ga_ls8c_ard_3-0-0_115077_2017-12-09_final
2017-12-09 11:52:33	ga_ls8c_ard_3-0-0_115078_2017-12-09_final
2017-12-09 11:52:57	ga_ls8c_ard_3-0-0_115079_2017-12-09_final
2017-12-09 11:53:21	ga_ls8c_ard_3-0-0_115080_2017-12-09_final
2018-01-10 11:52:06	ga_ls8c_ard_3-0-0_115077_2018-01-10_final
2018-01-10 11:52:30	ga_ls8c_ard_3-0-0_115078_2018-01-10_final
2018-01-10 11:52:54	ga_ls8c_ard_3-0-0_115079_2018-01-10_final
2018-01-10 11:53:18	ga_ls8c_ard_3-0-0_115080_2018-01-10_final
2018-02-20 11:47:12	ga_ls8c_ard_3-0-0_114081_2018-02-20_final
2018-02-27 11:51:43	ga_ls8c_ard_3-0-0_115077_2018-02-27_final
2018-02-27 11:52:07	ga_ls8c_ard_3-0-0_115078_2018-02-27_final
2018-02-27 11:52:31	ga_ls8c_ard_3-0-0_115079_2018-02-27_final
2018-02-27 11:52:55	ga_ls8c_ard_3-0-0_115080_2018-02-27_final
2018-04-09 11:46:48	ga_ls8c_ard_3-0-0_114081_2018-04-09_final
2018-04-25 11:46:38	ga_ls8c_ard_3-0-0_114081_2018-04-25_final
2018-05-18 11:50:59	ga_ls8c_ard_3-0-0_115077_2018-05-18_final
2018-05-18 11:51:23	ga_ls8c_ard_3-0-0_115078_2018-05-18_final
2018-05-18 11:51:47	ga_ls8c_ard_3-0-0_115079_2018-05-18_final
2018-05-18 11:52:11	ga_ls8c_ard_3-0-0_115080_2018-05-18_final
2018-06-19 11:50:56	ga_ls8c_ard_3-0-0_115077_2018-06-19_final
2018-06-19 11:51:20	ga_ls8c_ard_3-0-0_115078_2018-06-19_final
2018-06-19 11:51:44	ga_ls8c_ard_3-0-0_115079_2018-06-19_final
2018-06-19 11:52:08	ga_ls8c_ard_3-0-0_115080_2018-06-19_final
2022-08-24 11:57:55	ga_ls8c_ard_3-2-1_116075_2022-08-24_final
2022-08-24 11:58:19	ga_ls8c_ard_3-2-1_116076_2022-08-24_final
2022-08-24 11:58:43	ga_ls8c_ard_3-2-1_116077_2022-08-24_final
2022-08-24 11:59:07	ga_ls8c_ard_3-2-1_116078_2022-08-24_final
2022-08-26 11:47:57	ga_ls8c_ard_3-2-1_114081_2022-08-26_final
2022-09-18 11:52:39	ga_ls8c_ard_3-2-1_115077_2022-09-18_final
2022-09-18 11:53:03	ga_ls8c_ard_3-2-1_115078_2022-09-18_final
2022-09-18 11:53:27	ga_ls8c_ard_3-2-1_115079_2022-09-18_final
2022-09-18 11:53:51	ga_ls8c_ard_3-2-1_115080_2022-09-18_final
2022-09-27 11:48:04	ga_ls8c_ard_3-2-1_114081_2022-09-27_final
2022-10-11 11:57:55	ga_ls8c_ard_3-2-1_116075_2022-10-11_final
2022-10-11 11:58:19	ga_ls8c_ard_3-2-1_116076_2022-10-11_final
2022-10-11 11:58:43	ga_ls8c_ard_3-2-1_116077_2022-10-11_final
2022-10-11 11:59:07	ga_ls8c_ard_3-2-1_116078_2022-10-11_final
2022-10-27 11:58:01	ga_ls8c_ard_3-2-1_116075_2022-10-27_final
2022-10-27 11:58:25	ga_ls8c_ard_3-2-1_116076_2022-10-27_final
2022-10-27 11:58:49	ga_ls8c_ard_3-2-1_116077_2022-10-27_final
2022-10-27 11:59:13	ga_ls8c_ard_3-2-1_116078_2022-10-27_final
2023-06-08 11:57:59	ga_ls8c_ard_3-2-1_116078_2023-06-08_final
2023-06-24 11:56:53	ga_ls8c_ard_3-2-1_116075_2023-06-24_final
2023-06-24 11:57:17	ga_ls8c_ard_3-2-1_116076_2023-06-24_final
2023-06-24 11:57:41	ga_ls8c_ard_3-2-1_116077_2023-06-24_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