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
2014-10-08 10:48:00	ga_ls8c_ard_3-0-0_105071_2014-10-08_final
2014-10-08 10:48:24	ga_ls8c_ard_3-0-0_105072_2014-10-08_final
2014-10-08 10:48:48	ga_ls8c_ard_3-0-0_105073_2014-10-08_final
2014-10-08 10:49:12	ga_ls8c_ard_3-0-0_105074_2014-10-08_final
2014-10-08 10:49:36	ga_ls8c_ard_3-0-0_105075_2014-10-08_final
2014-10-08 10:50:00	ga_ls8c_ard_3-0-0_105076_2014-10-08_final
2014-10-10 10:39:14	ga_ls8c_ard_3-0-0_103080_2014-10-10_final
2014-10-10 10:39:38	ga_ls8c_ard_3-0-0_103081_2014-10-10_final
2014-10-10 10:40:02	ga_ls8c_ard_3-0-0_103082_2014-10-10_final
2014-12-13 10:39:07	ga_ls8c_ard_3-0-0_103080_2014-12-13_final
2014-12-13 10:39:31	ga_ls8c_ard_3-0-0_103081_2014-12-13_final
2014-12-13 10:39:55	ga_ls8c_ard_3-0-0_103082_2014-12-13_final
2014-12-18 10:52:31	ga_ls8c_ard_3-0-0_106067_2014-12-18_final
2014-12-18 10:52:55	ga_ls8c_ard_3-0-0_106068_2014-12-18_final
2014-12-18 10:53:19	ga_ls8c_ard_3-0-0_106069_2014-12-18_final
2014-12-18 10:53:43	ga_ls8c_ard_3-0-0_106070_2014-12-18_final
2014-12-18 10:54:06	ga_ls8c_ard_3-0-0_106071_2014-12-18_final
2014-12-18 10:54:30	ga_ls8c_ard_3-0-0_106072_2014-12-18_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
2015-02-27 10:58:21	ga_ls8c_ard_3-0-0_107067_2015-02-27_final
2015-04-20 10:38:00	ga_ls8c_ard_3-0-0_103079_2015-04-20_final
2015-04-20 10:38:24	ga_ls8c_ard_3-0-0_103080_2015-04-20_final
2015-04-20 10:38:48	ga_ls8c_ard_3-0-0_103081_2015-04-20_final
2015-04-20 10:39:12	ga_ls8c_ard_3-0-0_103082_2015-04-20_final
2015-04-20 10:39:36	ga_ls8c_ard_3-0-0_103083_2015-04-20_final
2015-05-13 10:42:15	ga_ls8c_ard_3-0-0_104075_2015-05-13_final
2015-05-13 10:42:39	ga_ls8c_ard_3-0-0_104076_2015-05-13_final
2015-05-13 10:43:03	ga_ls8c_ard_3-0-0_104077_2015-05-13_final
2015-05-13 10:43:27	ga_ls8c_ard_3-0-0_104078_2015-05-13_final
2015-05-13 10:43:51	ga_ls8c_ard_3-0-0_104079_2015-05-13_final
2015-05-13 10:44:15	ga_ls8c_ard_3-0-0_104080_2015-05-13_final
2015-05-13 10:44:39	ga_ls8c_ard_3-0-0_104081_2015-05-13_final
2015-05-15 10:33:03	ga_ls8c_ard_3-0-0_102083_2015-05-15_final
2015-06-19 10:57:53	ga_ls8c_ard_3-0-0_107067_2015-06-19_final
2021-01-05 10:43:29	ga_ls8c_ard_3-2-0_104075_2021-01-05_final
2021-01-05 10:43:52	ga_ls8c_ard_3-2-0_104076_2021-01-05_final
2021-01-05 10:44:16	ga_ls8c_ard_3-2-0_104077_2021-01-05_final
2021-01-05 10:44:40	ga_ls8c_ard_3-2-0_104078_2021-01-05_final
2021-01-05 10:45:04	ga_ls8c_ard_3-2-0_104079_2021-01-05_final
2021-01-05 10:45:28	ga_ls8c_ard_3-2-0_104080_2021-01-05_final
2021-01-05 10:45:52	ga_ls8c_ard_3-2-0_104081_2021-01-05_final
2021-01-07 10:34:18	ga_ls8c_ard_3-2-0_102083_2021-01-07_final
2021-01-30 10:39:10	ga_ls8c_ard_3-2-0_103080_2021-01-30_final
2021-01-30 10:39:34	ga_ls8c_ard_3-2-0_103081_2021-01-30_final
2021-01-30 10:39:58	ga_ls8c_ard_3-2-0_103082_2021-01-30_final
2021-01-30 10:40:22	ga_ls8c_ard_3-2-0_103083_2021-01-30_final
2021-02-08 10:34:10	ga_ls8c_ard_3-2-0_102083_2021-02-08_final
2021-04-18 10:48:40	ga_ls8c_ard_3-2-0_105074_2021-04-18_final
2021-05-04 10:47:19	ga_ls8c_ard_3-2-0_105071_2021-05-04_final
2021-05-04 10:47:43	ga_ls8c_ard_3-2-0_105072_2021-05-04_final
2021-05-04 10:48:07	ga_ls8c_ard_3-2-0_105073_2021-05-04_final
2021-05-04 10:48:31	ga_ls8c_ard_3-2-0_105074_2021-05-04_final
2021-05-04 10:48:55	ga_ls8c_ard_3-2-0_105075_2021-05-04_final
2021-05-04 10:49:19	ga_ls8c_ard_3-2-0_105076_2021-05-04_final
2021-05-06 10:38:31	ga_ls8c_ard_3-2-0_103080_2021-05-06_final
2021-05-06 10:38:55	ga_ls8c_ard_3-2-0_103081_2021-05-06_final
2021-05-06 10:39:19	ga_ls8c_ard_3-2-0_103082_2021-05-06_final
2021-05-06 10:39:43	ga_ls8c_ard_3-2-0_103083_2021-05-06_final
2021-05-13 10:42:47	ga_ls8c_ard_3-2-0_104075_2021-05-13_final
2021-05-13 10:43:11	ga_ls8c_ard_3-2-0_104076_2021-05-13_final
2021-05-13 10:43:35	ga_ls8c_ard_3-2-0_104077_2021-05-13_final
2021-05-13 10:43:59	ga_ls8c_ard_3-2-0_104078_2021-05-13_final
2021-05-13 10:44:23	ga_ls8c_ard_3-2-0_104079_2021-05-13_final
2021-05-13 10:44:47	ga_ls8c_ard_3-2-0_104080_2021-05-13_final
2021-05-13 10:45:11	ga_ls8c_ard_3-2-0_104081_2021-05-13_final
2021-05-15 10:33:38	ga_ls8c_ard_3-2-0_102083_2021-05-15_final
2021-05-18 10:58:11	ga_ls8c_ard_3-2-0_107067_2021-05-18_final
2021-05-20 10:47:27	ga_ls8c_ard_3-2-0_105071_2021-05-20_final
2021-05-20 10:47:50	ga_ls8c_ard_3-2-0_105072_2021-05-20_final
2021-05-20 10:48:14	ga_ls8c_ard_3-2-0_105073_2021-05-20_final
2021-05-20 10:48:38	ga_ls8c_ard_3-2-0_105074_2021-05-20_final
2021-05-20 10:49:02	ga_ls8c_ard_3-2-0_105075_2021-05-20_final
2021-05-20 10:49:26	ga_ls8c_ard_3-2-0_105076_2021-05-20_final
2021-05-27 10:52:06	ga_ls8c_ard_3-2-0_106067_2021-05-27_final
2021-05-27 10:52:30	ga_ls8c_ard_3-2-0_106068_2021-05-27_final
2021-05-27 10:52:53	ga_ls8c_ard_3-2-0_106069_2021-05-27_final
2021-05-27 10:53:17	ga_ls8c_ard_3-2-0_106070_2021-05-27_final
2021-05-27 10:53:41	ga_ls8c_ard_3-2-0_106071_2021-05-27_final
2021-05-29 10:42:56	ga_ls8c_ard_3-2-0_104075_2021-05-29_final
2021-05-29 10:43:20	ga_ls8c_ard_3-2-0_104076_2021-05-29_final
2021-05-29 10:43:44	ga_ls8c_ard_3-2-0_104077_2021-05-29_final
2021-05-29 10:44:08	ga_ls8c_ard_3-2-0_104078_2021-05-29_final
2021-05-29 10:44:32	ga_ls8c_ard_3-2-0_104079_2021-05-29_final
2021-05-29 10:44:56	ga_ls8c_ard_3-2-0_104080_2021-05-29_final
2021-05-29 10:45:20	ga_ls8c_ard_3-2-0_104081_2021-05-29_final
2021-05-31 10:33:47	ga_ls8c_ard_3-2-0_102083_2021-05-31_final
2021-07-14 10:52:18	ga_ls8c_ard_3-2-0_106067_2021-07-14_final
2021-07-14 10:52:42	ga_ls8c_ard_3-2-0_106068_2021-07-14_final
2021-07-14 10:53:06	ga_ls8c_ard_3-2-0_106069_2021-07-14_final
2021-07-14 10:53:30	ga_ls8c_ard_3-2-0_106070_2021-07-14_final
2021-07-14 10:53:54	ga_ls8c_ard_3-2-0_106071_2021-07-14_final
2021-07-14 10:54:18	ga_ls8c_ard_3-2-0_106072_2021-07-14_final
2021-07-16 10:43:08	ga_ls8c_ard_3-2-0_104075_2021-07-16_final
2021-07-16 10:43:32	ga_ls8c_ard_3-2-0_104076_2021-07-16_final
2021-07-16 10:43:56	ga_ls8c_ard_3-2-0_104077_2021-07-16_final
2021-07-16 10:44:20	ga_ls8c_ard_3-2-0_104078_2021-07-16_final
2021-07-16 10:44:44	ga_ls8c_ard_3-2-0_104079_2021-07-16_final
2021-07-16 10:45:08	ga_ls8c_ard_3-2-0_104080_2021-07-16_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