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
2013-04-02 10:49:49	ga_ls8c_ard_3-0-0_105076_2013-04-02_final
2013-04-28 10:49:10	ga_ls8c_ard_3-0-0_105070_2013-04-28_final
2013-04-28 10:49:34	ga_ls8c_ard_3-0-0_105071_2013-04-28_final
2013-04-28 10:49:58	ga_ls8c_ard_3-0-0_105072_2013-04-28_final
2013-04-28 10:50:22	ga_ls8c_ard_3-0-0_105073_2013-04-28_final
2013-04-28 10:50:46	ga_ls8c_ard_3-0-0_105074_2013-04-28_final
2013-04-30 10:40:25	ga_ls8c_ard_3-0-0_103079_2013-04-30_final
2013-04-30 10:40:49	ga_ls8c_ard_3-0-0_103080_2013-04-30_final
2013-04-30 10:41:13	ga_ls8c_ard_3-0-0_103081_2013-04-30_final
2013-05-23 10:44:52	ga_ls8c_ard_3-0-0_104074_2013-05-23_final
2013-05-23 10:45:16	ga_ls8c_ard_3-0-0_104075_2013-05-23_final
2013-05-23 10:45:40	ga_ls8c_ard_3-0-0_104076_2013-05-23_final
2013-05-23 10:46:04	ga_ls8c_ard_3-1-0_104077_2013-05-23_final
2013-05-23 10:46:28	ga_ls8c_ard_3-0-0_104078_2013-05-23_final
2013-05-23 10:46:51	ga_ls8c_ard_3-0-0_104079_2013-05-23_final
2013-05-23 10:47:15	ga_ls8c_ard_3-0-0_104080_2013-05-23_final
2013-07-01 10:49:23	ga_ls8c_ard_3-0-0_105070_2013-07-01_final
2013-07-01 10:49:46	ga_ls8c_ard_3-0-0_105071_2013-07-01_final
2013-07-01 10:50:10	ga_ls8c_ard_3-0-0_105072_2013-07-01_final
2013-07-01 10:50:34	ga_ls8c_ard_3-0-0_105073_2013-07-01_final
2013-07-01 10:50:58	ga_ls8c_ard_3-0-0_105074_2013-07-01_final
2013-07-01 10:51:22	ga_ls8c_ard_3-0-0_105075_2013-07-01_final
2013-07-03 10:40:37	ga_ls8c_ard_3-0-0_103079_2013-07-03_final
2013-07-03 10:41:01	ga_ls8c_ard_3-0-0_103080_2013-07-03_final
2013-07-03 10:41:25	ga_ls8c_ard_3-0-0_103081_2013-07-03_final
2013-07-03 10:41:49	ga_ls8c_ard_3-0-0_103082_2013-07-03_final
2013-07-17 10:49:23	ga_ls8c_ard_3-0-0_105070_2013-07-17_final
2013-07-17 10:49:47	ga_ls8c_ard_3-0-0_105071_2013-07-17_final
2013-07-17 10:50:11	ga_ls8c_ard_3-0-0_105072_2013-07-17_final
2013-07-17 10:50:35	ga_ls8c_ard_3-0-0_105073_2013-07-17_final
2013-07-17 10:50:59	ga_ls8c_ard_3-0-0_105074_2013-07-17_final
2013-07-17 10:51:23	ga_ls8c_ard_3-0-0_105075_2013-07-17_final
2013-07-19 10:40:36	ga_ls8c_ard_3-0-0_103079_2013-07-19_final
2013-07-19 10:41:00	ga_ls8c_ard_3-0-0_103080_2013-07-19_final
2013-07-19 10:41:24	ga_ls8c_ard_3-0-0_103081_2013-07-19_final
2013-07-19 10:41:48	ga_ls8c_ard_3-0-0_103082_2013-07-19_final
2013-09-12 10:44:49	ga_ls8c_ard_3-0-0_104074_2013-09-12_final
2013-09-12 10:45:13	ga_ls8c_ard_3-0-0_104075_2013-09-12_final
2013-09-12 10:45:37	ga_ls8c_ard_3-0-0_104076_2013-09-12_final
2013-09-12 10:47:13	ga_ls8c_ard_3-0-0_104080_2013-09-12_final
2015-01-30 10:38:36	ga_ls8c_ard_3-0-0_103079_2015-01-30_final
2015-01-30 10:38:59	ga_ls8c_ard_3-0-0_103080_2015-01-30_final
2015-01-30 10:39:23	ga_ls8c_ard_3-0-0_103081_2015-01-30_final
2015-01-30 10:39:47	ga_ls8c_ard_3-0-0_103082_2015-01-30_final
2015-05-22 10:37:41	ga_ls8c_ard_3-0-0_103079_2015-05-22_final
2015-05-22 10:38:05	ga_ls8c_ard_3-0-0_103080_2015-05-22_final
2015-05-22 10:38:29	ga_ls8c_ard_3-0-0_103081_2015-05-22_final
2015-05-22 10:38:53	ga_ls8c_ard_3-0-0_103082_2015-05-22_final
2015-05-22 10:39:17	ga_ls8c_ard_3-0-0_103083_2015-05-22_final
2015-06-07 10:37:51	ga_ls8c_ard_3-0-0_103079_2015-06-07_final
2015-06-07 10:38:14	ga_ls8c_ard_3-0-0_103080_2015-06-07_final
2015-06-07 10:38:38	ga_ls8c_ard_3-0-0_103081_2015-06-07_final
2015-06-07 10:39:02	ga_ls8c_ard_3-0-0_103082_2015-06-07_final
2015-06-07 10:39:26	ga_ls8c_ard_3-0-0_103083_2015-06-07_final
2018-02-23 10:38:23	ga_ls8c_ard_3-1-0_103079_2018-02-23_final
2018-02-23 10:38:47	ga_ls8c_ard_3-0-0_103080_2018-02-23_final
2018-02-23 10:39:11	ga_ls8c_ard_3-0-0_103081_2018-02-23_final
2018-02-23 10:39:35	ga_ls8c_ard_3-0-0_103082_2018-02-23_final
2018-02-23 10:39:59	ga_ls8c_ard_3-0-0_103083_2018-02-23_final
2018-03-11 10:38:15	ga_ls8c_ard_3-0-0_103079_2018-03-11_final
2018-03-11 10:38:39	ga_ls8c_ard_3-0-0_103080_2018-03-11_final
2018-03-11 10:39:03	ga_ls8c_ard_3-0-0_103081_2018-03-11_final
2018-03-11 10:39:27	ga_ls8c_ard_3-0-0_103082_2018-03-11_final
2018-03-11 10:39:51	ga_ls8c_ard_3-0-0_103083_2018-03-11_final
2018-07-01 10:37:42	ga_ls8c_ard_3-0-0_103079_2018-07-01_final
2018-07-01 10:38:06	ga_ls8c_ard_3-0-0_103080_2018-07-01_final
2018-07-01 10:38:29	ga_ls8c_ard_3-0-0_103081_2018-07-01_final
2018-07-01 10:38:53	ga_ls8c_ard_3-0-0_103082_2018-07-01_final
2018-07-01 10:39:17	ga_ls8c_ard_3-0-0_103083_2018-07-01_final
2019-07-04 10:38:33	ga_ls8c_ard_3-1-0_103079_2019-07-04_final
2019-07-04 10:38:57	ga_ls8c_ard_3-1-0_103080_2019-07-04_final
2019-07-04 10:39:21	ga_ls8c_ard_3-1-0_103081_2019-07-04_final
2019-07-04 10:39:45	ga_ls8c_ard_3-1-0_103082_2019-07-04_final
2019-07-04 10:40:09	ga_ls8c_ard_3-1-0_103083_2019-07-04_final
2019-07-13 10:34:00	ga_ls8c_ard_3-1-0_102083_2019-07-13_final
2019-07-27 10:42:50	ga_ls8c_ard_3-1-0_104074_2019-07-27_final
2019-07-27 10:43:14	ga_ls8c_ard_3-1-0_104075_2019-07-27_final
2019-07-27 10:43:38	ga_ls8c_ard_3-1-0_104076_2019-07-27_final
2019-07-27 10:44:02	ga_ls8c_ard_3-1-0_104077_2019-07-27_final
2019-07-27 10:44:26	ga_ls8c_ard_3-1-0_104078_2019-07-27_final
2019-07-27 10:44:50	ga_ls8c_ard_3-1-0_104079_2019-07-27_final
2019-07-27 10:45:14	ga_ls8c_ard_3-1-0_104080_2019-07-27_final
2019-07-29 10:34:05	ga_ls8c_ard_3-1-0_102083_2019-07-29_final
2019-10-01 10:34:24	ga_ls8c_ard_3-1-0_102083_2019-10-01_final
2019-10-06 10:47:47	ga_ls8c_ard_3-1-0_105070_2019-10-06_final
2019-10-06 10:48:11	ga_ls8c_ard_3-1-0_105071_2019-10-06_final
2019-10-06 10:48:35	ga_ls8c_ard_3-1-0_105072_2019-10-06_final
2019-10-06 10:48:58	ga_ls8c_ard_3-1-0_105073_2019-10-06_final
2019-10-06 10:49:22	ga_ls8c_ard_3-1-0_105074_2019-10-06_final
2019-10-06 10:49:46	ga_ls8c_ard_3-1-0_105075_2019-10-06_final
2019-10-08 10:39:01	ga_ls8c_ard_3-1-0_103079_2019-10-08_final
2019-10-08 10:39:25	ga_ls8c_ard_3-1-0_103080_2019-10-08_final
2019-10-08 10:39:49	ga_ls8c_ard_3-1-0_103081_2019-10-08_final
2019-10-08 10:40:13	ga_ls8c_ard_3-1-0_103082_2019-10-08_final
2019-10-08 10:40:37	ga_ls8c_ard_3-1-0_103083_2019-10-08_final
2019-11-09 10:39:00	ga_ls8c_ard_3-1-0_103079_2019-11-09_final
2019-11-09 10:39:24	ga_ls8c_ard_3-1-0_103080_2019-11-09_final
2019-11-09 10:39:48	ga_ls8c_ard_3-1-0_103081_2019-11-09_final
2019-11-09 10:40:12	ga_ls8c_ard_3-1-0_103082_2019-11-09_final
2019-11-09 10:40:36	ga_ls8c_ard_3-1-0_103083_2019-11-09_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