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 10:50:00	ga_ls8c_ard_3-0-0_105076_2014-10-08_final
2014-10-08 10:50:24	ga_ls8c_ard_3-0-0_105077_2014-10-08_final
2014-10-08 10:50:48	ga_ls8c_ard_3-0-0_105078_2014-10-08_final
2014-10-08 10:51:12	ga_ls8c_ard_3-0-0_105079_2014-10-08_final
2014-10-08 10:51:36	ga_ls8c_ard_3-0-0_105080_2014-10-08_final
2014-10-08 10:52:00	ga_ls8c_ard_3-0-0_105081_2014-10-08_final
2014-10-08 10:52:24	ga_ls8c_ard_3-0-0_105082_2014-10-08_final
2014-12-18 10:54:30	ga_ls8c_ard_3-0-0_106072_2014-12-18_final
2014-12-18 10:54:54	ga_ls8c_ard_3-0-0_106073_2014-12-18_final
2014-12-18 10:55:18	ga_ls8c_ard_3-0-0_106074_2014-12-18_final
2014-12-18 10:55:42	ga_ls8c_ard_3-0-0_106075_2014-12-18_final
2014-12-18 10:56:06	ga_ls8c_ard_3-0-0_106076_2014-12-18_final
2014-12-18 10:56:30	ga_ls8c_ard_3-0-0_106077_2014-12-18_final
2015-02-02 11:04:42	ga_ls8c_ard_3-0-0_108067_2015-02-02_final
2015-02-02 11:05:06	ga_ls8c_ard_3-0-0_108068_2015-02-02_final
2015-02-27 10:58:21	ga_ls8c_ard_3-0-0_107067_2015-02-27_final
2015-02-27 10:58:45	ga_ls8c_ard_3-0-0_107068_2015-02-27_final
2015-02-27 10:59:09	ga_ls8c_ard_3-0-0_107069_2015-02-27_final
2015-02-27 10:59:33	ga_ls8c_ard_3-0-0_107070_2015-02-27_final
2015-02-27 10:59:57	ga_ls8c_ard_3-0-0_107071_2015-02-27_final
2015-02-27 11:00:21	ga_ls8c_ard_3-0-0_107072_2015-02-27_final
2015-02-27 11:00:45	ga_ls8c_ard_3-0-0_107073_2015-02-27_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
2015-05-13 10:45:03	ga_ls8c_ard_3-0-0_104082_2015-05-13_final
2015-06-19 10:57:53	ga_ls8c_ard_3-0-0_107067_2015-06-19_final
2015-06-19 10:58:17	ga_ls8c_ard_3-0-0_107068_2015-06-19_final
2015-06-19 10:58:41	ga_ls8c_ard_3-0-0_107069_2015-06-19_final
2015-06-19 10:59:04	ga_ls8c_ard_3-0-0_107070_2015-06-19_final
2015-06-19 10:59:28	ga_ls8c_ard_3-0-0_107071_2015-06-19_final
2015-06-19 10:59:52	ga_ls8c_ard_3-0-0_107072_2015-06-19_final
2015-06-19 11:00:16	ga_ls8c_ard_3-0-0_107073_2015-06-19_final
2021-01-01 11:05:02	ga_ls8c_ard_3-2-0_108067_2021-01-01_final
2021-01-01 11:05:26	ga_ls8c_ard_3-2-0_108068_2021-01-01_final
2021-01-05 10:45:52	ga_ls8c_ard_3-2-0_104081_2021-01-05_final
2021-01-05 10:46:16	ga_ls8c_ard_3-2-0_104082_2021-01-05_final
2021-01-05 10:46:40	ga_ls8c_ard_3-2-0_104083_2021-01-05_final
2021-02-02 11:04:53	ga_ls8c_ard_3-2-0_108067_2021-02-02_final
2021-02-02 11:05:17	ga_ls8c_ard_3-2-0_108068_2021-02-02_final
2021-04-16 10:58:15	ga_ls8c_ard_3-2-0_107067_2021-04-16_final
2021-04-16 10:58:39	ga_ls8c_ard_3-2-0_107068_2021-04-16_final
2021-04-16 10:59:03	ga_ls8c_ard_3-2-0_107069_2021-04-16_final
2021-04-16 10:59:27	ga_ls8c_ard_3-2-0_107070_2021-04-16_final
2021-04-16 10:59:51	ga_ls8c_ard_3-2-0_107071_2021-04-16_final
2021-04-16 11:00:15	ga_ls8c_ard_3-2-0_107072_2021-04-16_final
2021-04-16 11:00:39	ga_ls8c_ard_3-2-0_107073_2021-04-16_final
2021-04-18 10:49:28	ga_ls8c_ard_3-2-0_105076_2021-04-18_final
2021-04-18 10:49:52	ga_ls8c_ard_3-2-0_105077_2021-04-18_final
2021-04-18 10:50:16	ga_ls8c_ard_3-2-0_105078_2021-04-18_final
2021-04-18 10:50:40	ga_ls8c_ard_3-2-0_105079_2021-04-18_final
2021-04-18 10:51:04	ga_ls8c_ard_3-2-0_105080_2021-04-18_final
2021-04-18 10:51:28	ga_ls8c_ard_3-2-0_105081_2021-04-18_final
2021-04-18 10:51:52	ga_ls8c_ard_3-2-0_105082_2021-04-18_final
2021-05-04 10:49:19	ga_ls8c_ard_3-2-0_105076_2021-05-04_final
2021-05-04 10:49:43	ga_ls8c_ard_3-2-0_105077_2021-05-04_final
2021-05-04 10:50:07	ga_ls8c_ard_3-2-0_105078_2021-05-04_final
2021-05-04 10:50:30	ga_ls8c_ard_3-2-0_105079_2021-05-04_final
2021-05-04 10:50:54	ga_ls8c_ard_3-2-0_105080_2021-05-04_final
2021-05-04 10:51:18	ga_ls8c_ard_3-2-0_105081_2021-05-04_final
2021-05-04 10:51:42	ga_ls8c_ard_3-2-0_105082_2021-05-04_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
2021-05-13 10:45:35	ga_ls8c_ard_3-2-0_104082_2021-05-13_final
2021-05-13 10:45:59	ga_ls8c_ard_3-2-0_104083_2021-05-13_final
2021-05-18 10:58:11	ga_ls8c_ard_3-2-0_107067_2021-05-18_final
2021-05-18 10:58:35	ga_ls8c_ard_3-2-0_107068_2021-05-18_final
2021-05-18 10:58:59	ga_ls8c_ard_3-2-0_107069_2021-05-18_final
2021-05-18 10:59:23	ga_ls8c_ard_3-2-0_107070_2021-05-18_final
2021-05-18 10:59:47	ga_ls8c_ard_3-2-0_107071_2021-05-18_final
2021-05-18 11:00:11	ga_ls8c_ard_3-2-0_107072_2021-05-18_final
2021-05-18 11:00:35	ga_ls8c_ard_3-2-0_107073_2021-05-18_final
2021-05-20 10:49:26	ga_ls8c_ard_3-2-0_105076_2021-05-20_final
2021-05-20 10:49:50	ga_ls8c_ard_3-2-0_105077_2021-05-20_final
2021-05-20 10:50:14	ga_ls8c_ard_3-2-0_105078_2021-05-20_final
2021-05-20 10:50:38	ga_ls8c_ard_3-2-0_105079_2021-05-20_final
2021-05-20 10:51:02	ga_ls8c_ard_3-2-0_105080_2021-05-20_final
2021-05-20 10:51:26	ga_ls8c_ard_3-2-0_105081_2021-05-20_final
2021-05-20 10:51:50	ga_ls8c_ard_3-2-0_105082_2021-05-20_final
2021-05-25 11:04:26	ga_ls8c_ard_3-2-0_108067_2021-05-25_final
2021-05-25 11:04:50	ga_ls8c_ard_3-2-0_108068_2021-05-25_final
2021-05-27 10:54:05	ga_ls8c_ard_3-2-0_106072_2021-05-27_final
2021-05-27 10:54:29	ga_ls8c_ard_3-2-0_106073_2021-05-27_final
2021-05-27 10:54:53	ga_ls8c_ard_3-2-0_106074_2021-05-27_final
2021-05-27 10:55:17	ga_ls8c_ard_3-2-0_106075_2021-05-27_final
2021-05-27 10:55:41	ga_ls8c_ard_3-2-0_106076_2021-05-27_final
2021-05-27 10:56:05	ga_ls8c_ard_3-2-0_106077_2021-05-27_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
2021-05-29 10:45:44	ga_ls8c_ard_3-2-0_104082_2021-05-29_final
2021-05-29 10:46:08	ga_ls8c_ard_3-2-0_104083_2021-05-29_final
2021-07-12 11:04:40	ga_ls8c_ard_3-2-0_108067_2021-07-12_final
2021-07-12 11:05:04	ga_ls8c_ard_3-2-0_108068_2021-07-12_final
2021-07-14 10:54:18	ga_ls8c_ard_3-2-0_106072_2021-07-14_final
2021-07-14 10:54:42	ga_ls8c_ard_3-2-0_106073_2021-07-14_final
2021-07-14 10:55:06	ga_ls8c_ard_3-2-0_106074_2021-07-14_final
2021-07-14 10:55:29	ga_ls8c_ard_3-2-0_106075_2021-07-14_final
2021-07-14 10:55:53	ga_ls8c_ard_3-2-0_106076_2021-07-14_final
2021-07-14 10:56:17	ga_ls8c_ard_3-2-0_106077_2021-07-14_final
2021-07-16 10:45:32	ga_ls8c_ard_3-2-0_104081_2021-07-16_final
2021-07-16 10:45:56	ga_ls8c_ard_3-2-0_104082_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