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
2014-11-25 10:51:11	ga_ls8c_ard_3-1-0_105079_2014-11-25_final
2014-11-25 10:51:35	ga_ls8c_ard_3-0-0_105080_2014-11-25_final
2014-11-25 10:51:59	ga_ls8c_ard_3-0-0_105081_2014-11-25_final
2014-11-25 10:52:23	ga_ls8c_ard_3-0-0_105082_2014-11-25_final
2014-11-30 11:04:57	ga_ls8c_ard_3-0-0_108067_2014-11-30_final
2014-11-30 11:05:21	ga_ls8c_ard_3-0-0_108068_2014-11-30_final
2014-11-30 11:05:45	ga_ls8c_ard_3-0-0_108069_2014-11-30_final
2014-11-30 11:06:09	ga_ls8c_ard_3-0-0_108070_2014-11-30_final
2014-11-30 11:06:33	ga_ls8c_ard_3-0-0_108071_2014-11-30_final
2014-12-09 11:00:17	ga_ls8c_ard_3-0-0_107071_2014-12-09_final
2014-12-09 11:00:41	ga_ls8c_ard_3-0-0_107072_2014-12-09_final
2014-12-09 11:01:05	ga_ls8c_ard_3-0-0_107073_2014-12-09_final
2014-12-09 11:01:29	ga_ls8c_ard_3-0-0_107074_2014-12-09_final
2014-12-09 11:01:53	ga_ls8c_ard_3-0-0_107075_2014-12-09_final
2014-12-09 11:02:17	ga_ls8c_ard_3-0-0_107076_2014-12-09_final
2015-03-17 10:50:35	ga_ls8c_ard_3-0-0_105079_2015-03-17_final
2015-03-17 10:50:59	ga_ls8c_ard_3-0-0_105080_2015-03-17_final
2015-03-17 10:51:23	ga_ls8c_ard_3-0-0_105081_2015-03-17_final
2015-03-17 10:51:47	ga_ls8c_ard_3-0-0_105082_2015-03-17_final
2015-03-17 10:52:11	ga_ls8c_ard_3-0-0_105083_2015-03-17_final
2015-03-22 11:04:18	ga_ls8c_ard_3-0-0_108067_2015-03-22_final
2015-03-22 11:04:42	ga_ls8c_ard_3-0-0_108068_2015-03-22_final
2015-03-22 11:05:06	ga_ls8c_ard_3-0-0_108069_2015-03-22_final
2015-03-22 11:05:30	ga_ls8c_ard_3-0-0_108070_2015-03-22_final
2015-03-22 11:05:54	ga_ls8c_ard_3-0-0_108071_2015-03-22_final
2015-04-07 11:04:08	ga_ls8c_ard_3-0-0_108067_2015-04-07_final
2015-04-07 11:04:32	ga_ls8c_ard_3-0-0_108068_2015-04-07_final
2015-04-07 11:04:56	ga_ls8c_ard_3-0-0_108069_2015-04-07_final
2015-04-07 11:05:19	ga_ls8c_ard_3-0-0_108070_2015-04-07_final
2015-04-07 11:05:43	ga_ls8c_ard_3-0-0_108071_2015-04-07_final
2015-04-09 10:54:57	ga_ls8c_ard_3-0-0_106075_2015-04-09_final
2015-04-09 10:55:21	ga_ls8c_ard_3-0-0_106076_2015-04-09_final
2015-04-09 10:55:45	ga_ls8c_ard_3-0-0_106077_2015-04-09_final
2015-04-09 10:56:09	ga_ls8c_ard_3-0-0_106078_2015-04-09_final
2015-04-09 10:56:33	ga_ls8c_ard_3-0-0_106079_2015-04-09_final
2015-04-09 10:56:57	ga_ls8c_ard_3-0-0_106080_2015-04-09_final
2015-04-09 10:57:21	ga_ls8c_ard_3-0-0_106081_2015-04-09_final
2016-02-07 10:55:36	ga_ls8c_ard_3-0-0_106075_2016-02-07_final
2016-02-07 10:56:00	ga_ls8c_ard_3-0-0_106076_2016-02-07_final
2016-02-07 10:56:24	ga_ls8c_ard_3-0-0_106077_2016-02-07_final
2016-02-07 10:56:48	ga_ls8c_ard_3-0-0_106078_2016-02-07_final
2016-02-07 10:57:12	ga_ls8c_ard_3-0-0_106079_2016-02-07_final
2016-02-07 10:57:36	ga_ls8c_ard_3-0-0_106080_2016-02-07_final
2016-02-07 10:57:59	ga_ls8c_ard_3-0-0_106081_2016-02-07_final
2016-02-09 10:46:25	ga_ls8c_ard_3-1-0_104083_2016-02-09_final
2017-03-04 11:00:00	ga_ls8c_ard_3-0-0_107071_2017-03-04_final
2017-03-04 11:00:24	ga_ls8c_ard_3-0-0_107072_2017-03-04_final
2017-03-04 11:00:48	ga_ls8c_ard_3-0-0_107073_2017-03-04_final
2017-04-28 11:04:04	ga_ls8c_ard_3-0-0_108067_2017-04-28_final
2017-04-28 11:04:28	ga_ls8c_ard_3-0-0_108068_2017-04-28_final
2017-04-28 11:04:51	ga_ls8c_ard_3-0-0_108069_2017-04-28_final
2017-04-28 11:05:15	ga_ls8c_ard_3-0-0_108070_2017-04-28_final
2017-04-28 11:05:39	ga_ls8c_ard_3-0-0_108071_2017-04-28_final
2017-05-14 11:04:10	ga_ls8c_ard_3-0-0_108067_2017-05-14_final
2017-05-14 11:04:34	ga_ls8c_ard_3-0-0_108068_2017-05-14_final
2017-05-14 11:04:58	ga_ls8c_ard_3-0-0_108069_2017-05-14_final
2017-05-14 11:05:22	ga_ls8c_ard_3-0-0_108070_2017-05-14_final
2017-05-14 11:05:46	ga_ls8c_ard_3-0-0_108071_2017-05-14_final
2017-05-16 10:55:01	ga_ls8c_ard_3-0-0_106075_2017-05-16_final
2017-05-16 10:55:25	ga_ls8c_ard_3-0-0_106076_2017-05-16_final
2017-05-16 10:55:49	ga_ls8c_ard_3-0-0_106077_2017-05-16_final
2017-05-16 10:56:13	ga_ls8c_ard_3-0-0_106078_2017-05-16_final
2017-05-16 10:56:37	ga_ls8c_ard_3-0-0_106079_2017-05-16_final
2017-05-16 10:57:01	ga_ls8c_ard_3-0-0_106080_2017-05-16_final
2017-05-16 10:57:25	ga_ls8c_ard_3-0-0_106081_2017-05-16_final
2017-05-18 10:45:53	ga_ls8c_ard_3-0-0_104083_2017-05-18_final
2017-06-01 10:55:11	ga_ls8c_ard_3-0-0_106075_2017-06-01_final
2017-06-01 10:55:35	ga_ls8c_ard_3-0-0_106076_2017-06-01_final
2017-06-01 10:55:59	ga_ls8c_ard_3-0-0_106077_2017-06-01_final
2017-06-01 10:56:23	ga_ls8c_ard_3-0-0_106078_2017-06-01_final
2017-06-01 10:56:47	ga_ls8c_ard_3-0-0_106079_2017-06-01_final
2017-06-01 10:57:11	ga_ls8c_ard_3-0-0_106080_2017-06-01_final
2017-06-01 10:57:35	ga_ls8c_ard_3-0-0_106081_2017-06-01_final
2017-06-03 10:46:02	ga_ls8c_ard_3-0-0_104083_2017-06-03_final
2018-09-17 10:50:38	ga_ls8c_ard_3-0-0_105079_2018-09-17_final
2018-09-17 10:51:02	ga_ls8c_ard_3-0-0_105080_2018-09-17_final
2018-09-17 10:51:26	ga_ls8c_ard_3-0-0_105081_2018-09-17_final
2018-09-17 10:51:49	ga_ls8c_ard_3-0-0_105082_2018-09-17_final
2018-09-17 10:52:13	ga_ls8c_ard_3-0-0_105083_2018-09-17_final
2019-01-07 10:50:52	ga_ls8c_ard_3-0-0_105079_2019-01-07_final
2019-01-07 10:51:16	ga_ls8c_ard_3-0-0_105080_2019-01-07_final
2019-01-07 10:51:39	ga_ls8c_ard_3-0-0_105081_2019-01-07_final
2019-01-07 10:52:03	ga_ls8c_ard_3-0-0_105082_2019-01-07_final
2019-01-07 10:52:27	ga_ls8c_ard_3-0-0_105083_2019-01-07_final
2023-12-04 10:51:09	ga_ls8c_ard_3-2-1_105079_2023-12-04_final
2023-12-04 10:51:33	ga_ls8c_ard_3-2-1_105080_2023-12-04_final
2023-12-04 10:51:56	ga_ls8c_ard_3-2-1_105081_2023-12-04_final
2023-12-04 10:52:20	ga_ls8c_ard_3-2-1_105082_2023-12-04_final
2023-12-04 10:52:44	ga_ls8c_ard_3-2-1_105083_2023-12-04_final
2024-02-06 10:51:06	ga_ls8c_ard_3-2-1_105079_2024-02-06_final
2024-02-06 10:51:30	ga_ls8c_ard_3-2-1_105080_2024-02-06_final
2024-02-06 10:51:54	ga_ls8c_ard_3-2-1_105081_2024-02-06_final
2024-02-06 10:52:18	ga_ls8c_ard_3-2-1_105082_2024-02-06_final
2024-02-06 10:52:42	ga_ls8c_ard_3-2-1_105083_2024-02-06_final
2024-04-17 10:55:05	ga_ls8c_ard_3-2-1_106075_2024-04-17_nrt
2024-04-17 10:55:29	ga_ls8c_ard_3-2-1_106076_2024-04-17_nrt
2024-04-17 10:55:53	ga_ls8c_ard_3-2-1_106077_2024-04-17_nrt
2024-04-17 10:56:17	ga_ls8c_ard_3-2-1_106078_2024-04-17_nrt
2024-04-17 10:56:41	ga_ls8c_ard_3-2-1_106079_2024-04-17_nrt
2024-04-17 10:57:05	ga_ls8c_ard_3-2-1_106080_2024-04-17_nrt

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years