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
2014-07-02 10:58:21	ga_ls8c_ard_3-0-0_107067_2014-07-02_final
2014-07-02 10:59:33	ga_ls8c_ard_3-0-0_107070_2014-07-02_final
2014-07-02 10:59:57	ga_ls8c_ard_3-0-0_107071_2014-07-02_final
2014-07-02 11:00:21	ga_ls8c_ard_3-0-0_107072_2014-07-02_final
2014-07-04 10:49:36	ga_ls8c_ard_3-0-0_105076_2014-07-04_final
2014-07-04 10:50:00	ga_ls8c_ard_3-0-0_105077_2014-07-04_final
2014-07-04 10:50:24	ga_ls8c_ard_3-0-0_105078_2014-07-04_final
2014-07-04 10:50:48	ga_ls8c_ard_3-0-0_105079_2014-07-04_final
2014-07-04 10:51:12	ga_ls8c_ard_3-0-0_105080_2014-07-04_final
2014-07-04 10:51:36	ga_ls8c_ard_3-0-0_105081_2014-07-04_final
2014-09-11 11:04:54	ga_ls8c_ard_3-0-0_108067_2014-09-11_final
2014-09-13 10:54:32	ga_ls8c_ard_3-0-0_106072_2014-09-13_final
2014-09-13 10:54:56	ga_ls8c_ard_3-0-0_106073_2014-09-13_final
2014-09-13 10:55:20	ga_ls8c_ard_3-0-0_106074_2014-09-13_final
2014-09-13 10:55:44	ga_ls8c_ard_3-0-0_106075_2014-09-13_final
2014-09-13 10:56:08	ga_ls8c_ard_3-0-0_106076_2014-09-13_final
2014-09-13 10:56:32	ga_ls8c_ard_3-0-0_106077_2014-09-13_final
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
2014-12-18 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
2017-07-05 10:45:00	ga_ls8c_ard_3-0-0_104080_2017-07-05_final
2017-07-05 10:45:24	ga_ls8c_ard_3-0-0_104081_2017-07-05_final
2017-07-05 10:45:48	ga_ls8c_ard_3-0-0_104082_2017-07-05_final
2017-07-05 10:46:12	ga_ls8c_ard_3-0-0_104083_2017-07-05_final
2018-03-07 10:58:13	ga_ls8c_ard_3-0-0_107067_2018-03-07_final
2018-03-07 10:58:37	ga_ls8c_ard_3-0-0_107068_2018-03-07_final
2018-03-07 10:59:01	ga_ls8c_ard_3-0-0_107069_2018-03-07_final
2018-03-07 10:59:25	ga_ls8c_ard_3-0-0_107070_2018-03-07_final
2018-03-07 10:59:49	ga_ls8c_ard_3-0-0_107071_2018-03-07_final
2018-03-07 11:00:13	ga_ls8c_ard_3-0-0_107072_2018-03-07_final
2018-04-24 10:57:48	ga_ls8c_ard_3-0-0_107067_2018-04-24_final
2018-04-24 10:58:12	ga_ls8c_ard_3-0-0_107068_2018-04-24_final
2018-04-24 10:58:36	ga_ls8c_ard_3-0-0_107069_2018-04-24_final
2018-04-24 10:59:00	ga_ls8c_ard_3-0-0_107070_2018-04-24_final
2018-04-24 10:59:24	ga_ls8c_ard_3-0-0_107071_2018-04-24_final
2018-04-24 10:59:48	ga_ls8c_ard_3-0-0_107072_2018-04-24_final
2018-06-27 10:57:35	ga_ls8c_ard_3-0-0_107067_2018-06-27_final
2018-06-27 10:57:59	ga_ls8c_ard_3-0-0_107068_2018-06-27_final
2018-06-27 10:58:23	ga_ls8c_ard_3-0-0_107069_2018-06-27_final
2018-06-27 10:58:47	ga_ls8c_ard_3-0-0_107070_2018-06-27_final
2018-06-27 10:59:11	ga_ls8c_ard_3-0-0_107071_2018-06-27_final
2018-06-27 10:59:35	ga_ls8c_ard_3-0-0_107072_2018-06-27_final
2018-07-13 10:57:43	ga_ls8c_ard_3-0-0_107067_2018-07-13_final
2018-07-13 10:58:07	ga_ls8c_ard_3-0-0_107068_2018-07-13_final
2018-07-13 10:58:31	ga_ls8c_ard_3-0-0_107069_2018-07-13_final
2018-07-13 10:58:55	ga_ls8c_ard_3-0-0_107070_2018-07-13_final
2018-07-13 10:59:19	ga_ls8c_ard_3-0-0_107071_2018-07-13_final
2018-07-13 10:59:43	ga_ls8c_ard_3-0-0_107072_2018-07-13_final
2018-07-15 10:48:58	ga_ls8c_ard_3-0-0_105076_2018-07-15_final
2018-07-15 10:49:22	ga_ls8c_ard_3-0-0_105077_2018-07-15_final
2018-07-15 10:49:46	ga_ls8c_ard_3-0-0_105078_2018-07-15_final
2018-07-15 10:50:10	ga_ls8c_ard_3-0-0_105079_2018-07-15_final
2018-07-15 10:50:34	ga_ls8c_ard_3-0-0_105080_2018-07-15_final
2018-07-15 10:50:58	ga_ls8c_ard_3-0-0_105081_2018-07-15_final
2018-07-20 11:03:57	ga_ls8c_ard_3-0-0_108067_2018-07-20_final
2018-07-22 10:53:36	ga_ls8c_ard_3-0-0_106072_2018-07-22_final
2018-07-22 10:54:00	ga_ls8c_ard_3-0-0_106073_2018-07-22_final
2018-07-22 10:54:24	ga_ls8c_ard_3-0-0_106074_2018-07-22_final
2018-07-22 10:54:48	ga_ls8c_ard_3-0-0_106075_2018-07-22_final
2018-07-22 10:55:12	ga_ls8c_ard_3-0-0_106076_2018-07-22_final
2018-07-22 10:55:36	ga_ls8c_ard_3-0-0_106077_2018-07-22_final
2023-03-05 10:59:00	ga_ls8c_ard_3-2-1_107068_2023-03-05_final
2023-03-05 10:59:24	ga_ls8c_ard_3-2-1_107069_2023-03-05_final
2023-03-05 10:59:48	ga_ls8c_ard_3-2-1_107070_2023-03-05_final
2023-03-05 11:00:12	ga_ls8c_ard_3-2-1_107071_2023-03-05_final
2023-03-05 11:00:36	ga_ls8c_ard_3-2-1_107072_2023-03-05_final
2023-03-23 10:49:39	ga_ls8c_ard_3-2-1_105076_2023-03-23_final
2023-03-23 10:50:03	ga_ls8c_ard_3-2-1_105077_2023-03-23_final
2023-03-23 10:50:27	ga_ls8c_ard_3-2-1_105078_2023-03-23_final
2023-03-23 10:50:50	ga_ls8c_ard_3-2-1_105079_2023-03-23_final
2023-03-23 10:51:14	ga_ls8c_ard_3-2-1_105080_2023-03-23_final
2023-03-23 10:51:38	ga_ls8c_ard_3-2-1_105081_2023-03-23_final
2023-03-23 10:52:02	ga_ls8c_ard_3-2-1_105082_2023-03-23_final
2023-10-08 10:55:19	ga_ls8c_ard_3-2-1_106074_2023-10-08_final
2023-10-08 10:55:43	ga_ls8c_ard_3-2-1_106075_2023-10-08_final
2023-10-08 10:56:07	ga_ls8c_ard_3-2-1_106076_2023-10-08_final
2023-10-10 10:45:22	ga_ls8c_ard_3-2-1_104080_2023-10-10_final
2023-10-10 10:45:46	ga_ls8c_ard_3-2-1_104081_2023-10-10_final
2023-10-10 10:46:10	ga_ls8c_ard_3-2-1_104082_2023-10-10_final
2023-10-17 10:49:57	ga_ls8c_ard_3-2-1_105076_2023-10-17_final
2023-10-17 10:50:21	ga_ls8c_ard_3-2-1_105077_2023-10-17_final
2023-10-17 10:50:45	ga_ls8c_ard_3-2-1_105078_2023-10-17_final
2023-10-17 10:51:09	ga_ls8c_ard_3-2-1_105079_2023-10-17_final
2023-10-17 10:51:33	ga_ls8c_ard_3-2-1_105080_2023-10-17_final
2023-10-17 10:51:57	ga_ls8c_ard_3-2-1_105081_2023-10-17_final
2023-10-24 10:54:10	ga_ls8c_ard_3-2-1_106071_2023-10-24_final
2023-10-24 10:54:34	ga_ls8c_ard_3-2-1_106072_2023-10-24_final
2023-10-24 10:54:58	ga_ls8c_ard_3-2-1_106073_2023-10-24_final
2023-10-24 10:55:22	ga_ls8c_ard_3-2-1_106074_2023-10-24_final
2023-10-24 10:55:46	ga_ls8c_ard_3-2-1_106075_2023-10-24_final
2023-10-24 10:56:10	ga_ls8c_ard_3-2-1_106076_2023-10-24_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