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
2019-07-11 10:46:21	ga_ls8c_ard_3-1-0_104083_2019-07-11_final
2019-07-25 10:55:35	ga_ls8c_ard_3-1-0_106075_2019-07-25_final
2019-07-25 10:55:59	ga_ls8c_ard_3-1-0_106076_2019-07-25_final
2019-07-25 10:56:23	ga_ls8c_ard_3-1-0_106077_2019-07-25_final
2019-07-25 10:56:47	ga_ls8c_ard_3-1-0_106078_2019-07-25_final
2019-07-25 10:57:11	ga_ls8c_ard_3-1-0_106079_2019-07-25_final
2019-07-25 10:57:35	ga_ls8c_ard_3-1-0_106080_2019-07-25_final
2019-08-10 10:55:41	ga_ls8c_ard_3-1-0_106075_2019-08-10_final
2019-08-10 10:56:05	ga_ls8c_ard_3-1-0_106076_2019-08-10_final
2019-08-10 10:56:29	ga_ls8c_ard_3-1-0_106077_2019-08-10_final
2019-08-10 10:56:53	ga_ls8c_ard_3-1-0_106078_2019-08-10_final
2019-08-10 10:57:17	ga_ls8c_ard_3-1-0_106079_2019-08-10_final
2019-08-10 10:57:41	ga_ls8c_ard_3-1-0_106080_2019-08-10_final
2019-08-28 10:46:36	ga_ls8c_ard_3-1-0_104083_2019-08-28_final
2019-10-13 10:55:58	ga_ls8c_ard_3-1-0_106075_2019-10-13_final
2019-10-13 10:56:22	ga_ls8c_ard_3-1-0_106076_2019-10-13_final
2019-10-13 10:56:46	ga_ls8c_ard_3-1-0_106077_2019-10-13_final
2019-10-13 10:57:10	ga_ls8c_ard_3-1-0_106078_2019-10-13_final
2019-10-13 10:57:34	ga_ls8c_ard_3-1-0_106079_2019-10-13_final
2019-10-13 10:57:58	ga_ls8c_ard_3-1-0_106080_2019-10-13_final
2021-01-05 10:46:40	ga_ls8c_ard_3-2-0_104083_2021-01-05_final
2021-01-10 10:59:59	ga_ls8c_ard_3-2-0_107070_2021-01-10_final
2021-01-10 11:00:23	ga_ls8c_ard_3-2-0_107071_2021-01-10_final
2021-01-10 11:00:47	ga_ls8c_ard_3-2-0_107072_2021-01-10_final
2021-01-10 11:01:11	ga_ls8c_ard_3-2-0_107073_2021-01-10_final
2021-01-10 11:01:35	ga_ls8c_ard_3-2-0_107074_2021-01-10_final
2021-01-10 11:01:59	ga_ls8c_ard_3-2-0_107075_2021-01-10_final
2021-01-10 11:02:23	ga_ls8c_ard_3-2-0_107076_2021-01-10_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
2021-02-02 11:05:41	ga_ls8c_ard_3-2-0_108069_2021-02-02_final
2021-02-02 11:06:05	ga_ls8c_ard_3-2-0_108070_2021-02-02_final
2021-02-02 11:06:28	ga_ls8c_ard_3-2-0_108071_2021-02-02_final
2021-02-18 11:04:49	ga_ls8c_ard_3-2-0_108067_2021-02-18_final
2021-02-18 11:05:13	ga_ls8c_ard_3-2-0_108068_2021-02-18_final
2021-02-18 11:05:37	ga_ls8c_ard_3-2-0_108069_2021-02-18_final
2021-02-18 11:06:01	ga_ls8c_ard_3-2-0_108070_2021-02-18_final
2021-02-18 11:06:24	ga_ls8c_ard_3-2-0_108071_2021-02-18_final
2021-02-20 10:55:38	ga_ls8c_ard_3-2-0_106075_2021-02-20_final
2021-02-20 10:56:02	ga_ls8c_ard_3-2-0_106076_2021-02-20_final
2021-02-20 10:56:26	ga_ls8c_ard_3-2-0_106077_2021-02-20_final
2021-02-20 10:56:50	ga_ls8c_ard_3-2-0_106078_2021-02-20_final
2021-02-20 10:57:14	ga_ls8c_ard_3-2-0_106079_2021-02-20_final
2021-02-20 10:57:38	ga_ls8c_ard_3-2-0_106080_2021-02-20_final
2021-03-01 10:51:23	ga_ls8c_ard_3-2-0_105080_2021-03-01_final
2021-03-01 10:51:47	ga_ls8c_ard_3-2-0_105081_2021-03-01_final
2021-03-01 10:52:11	ga_ls8c_ard_3-2-0_105082_2021-03-01_final
2021-03-01 10:52:35	ga_ls8c_ard_3-2-0_105083_2021-03-01_final
2021-03-08 10:55:30	ga_ls8c_ard_3-2-0_106075_2021-03-08_final
2021-03-15 10:59:37	ga_ls8c_ard_3-2-0_107070_2021-03-15_final
2021-03-15 11:00:01	ga_ls8c_ard_3-2-0_107071_2021-03-15_final
2021-03-15 11:00:25	ga_ls8c_ard_3-2-0_107072_2021-03-15_final
2021-03-15 11:00:49	ga_ls8c_ard_3-2-0_107073_2021-03-15_final
2021-03-15 11:01:13	ga_ls8c_ard_3-2-0_107074_2021-03-15_final
2021-03-15 11:01:37	ga_ls8c_ard_3-2-0_107075_2021-03-15_final
2021-03-15 11:02:01	ga_ls8c_ard_3-2-0_107076_2021-03-15_final
2021-04-02 10:50:46	ga_ls8c_ard_3-2-0_105079_2021-04-02_final
2021-04-02 10:51:10	ga_ls8c_ard_3-2-0_105080_2021-04-02_final
2021-04-02 10:51:34	ga_ls8c_ard_3-2-0_105081_2021-04-02_final
2021-04-02 10:51:58	ga_ls8c_ard_3-2-0_105082_2021-04-02_final
2021-04-02 10:52:22	ga_ls8c_ard_3-2-0_105083_2021-04-02_final
2021-04-07 11:04:30	ga_ls8c_ard_3-2-0_108067_2021-04-07_final
2021-04-07 11:04:54	ga_ls8c_ard_3-2-0_108068_2021-04-07_final
2021-04-07 11:05:18	ga_ls8c_ard_3-2-0_108069_2021-04-07_final
2021-04-07 11:05:41	ga_ls8c_ard_3-2-0_108070_2021-04-07_final
2021-04-07 11:06:05	ga_ls8c_ard_3-2-0_108071_2021-04-07_final
2021-04-09 10:55:19	ga_ls8c_ard_3-2-0_106075_2021-04-09_final
2021-04-09 10:55:43	ga_ls8c_ard_3-2-0_106076_2021-04-09_final
2021-04-09 10:56:07	ga_ls8c_ard_3-2-0_106077_2021-04-09_final
2021-04-09 10:56:31	ga_ls8c_ard_3-2-0_106078_2021-04-09_final
2021-04-09 10:56:55	ga_ls8c_ard_3-2-0_106079_2021-04-09_final
2021-04-09 10:57:19	ga_ls8c_ard_3-2-0_106080_2021-04-09_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
2021-05-04 10:52:06	ga_ls8c_ard_3-2-0_105083_2021-05-04_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
2021-05-18 11:00:59	ga_ls8c_ard_3-2-0_107074_2021-05-18_final
2021-05-18 11:01:23	ga_ls8c_ard_3-2-0_107075_2021-05-18_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
2021-05-20 10:52:14	ga_ls8c_ard_3-2-0_105083_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
2021-05-25 11:05:14	ga_ls8c_ard_3-2-0_108069_2021-05-25_final
2021-05-25 11:05:38	ga_ls8c_ard_3-2-0_108070_2021-05-25_final
2021-05-25 11:06:02	ga_ls8c_ard_3-2-0_108071_2021-05-25_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
2021-05-27 10:56:29	ga_ls8c_ard_3-2-0_106078_2021-05-27_final
2021-05-27 10:56:53	ga_ls8c_ard_3-2-0_106079_2021-05-27_final
2021-05-27 10:57:17	ga_ls8c_ard_3-2-0_106080_2021-05-27_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