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
2013-04-25 10:20:16	ga_ls8c_ard_3-0-0_100075_2013-04-25_final
2013-04-27 10:11:05	ga_ls8c_ard_3-0-0_098083_2013-04-27_final
2013-04-27 10:11:29	ga_ls8c_ard_3-0-0_098084_2013-04-27_final
2013-05-02 10:24:29	ga_ls8c_ard_3-0-0_101070_2013-05-02_final
2013-05-02 10:24:53	ga_ls8c_ard_3-0-0_101071_2013-05-02_final
2013-05-02 10:25:17	ga_ls8c_ard_3-0-0_101072_2013-05-02_final
2013-05-02 10:25:41	ga_ls8c_ard_3-0-0_101073_2013-05-02_final
2013-05-02 10:26:05	ga_ls8c_ard_3-0-0_101074_2013-05-02_final
2013-05-02 10:26:29	ga_ls8c_ard_3-0-0_101075_2013-05-02_final
2013-05-25 10:29:43	ga_ls8c_ard_3-0-0_102067_2013-05-25_final
2013-05-25 10:30:07	ga_ls8c_ard_3-0-0_102068_2013-05-25_final
2013-05-25 10:30:31	ga_ls8c_ard_3-0-0_102069_2013-05-25_final
2013-05-25 10:30:55	ga_ls8c_ard_3-0-0_102070_2013-05-25_final
2013-07-05 10:25:04	ga_ls8c_ard_3-0-0_101071_2013-07-05_final
2013-07-05 10:25:28	ga_ls8c_ard_3-1-0_101072_2013-07-05_final
2013-07-05 10:25:52	ga_ls8c_ard_3-0-0_101073_2013-07-05_final
2013-07-05 10:26:16	ga_ls8c_ard_3-0-0_101074_2013-07-05_final
2013-07-05 10:26:40	ga_ls8c_ard_3-0-0_101075_2013-07-05_final
2014-08-18 10:18:10	ga_ls8c_ard_3-0-0_100074_2014-08-18_final
2014-08-18 10:18:34	ga_ls8c_ard_3-0-0_100075_2014-08-18_final
2014-08-18 10:18:58	ga_ls8c_ard_3-0-0_100076_2014-08-18_final
2014-08-18 10:19:22	ga_ls8c_ard_3-0-0_100077_2014-08-18_final
2014-08-18 10:19:46	ga_ls8c_ard_3-0-0_100078_2014-08-18_final
2014-08-18 10:20:10	ga_ls8c_ard_3-0-0_100079_2014-08-18_final
2014-08-18 10:20:34	ga_ls8c_ard_3-0-0_100080_2014-08-18_final
2014-08-20 10:09:25	ga_ls8c_ard_3-0-0_098083_2014-08-20_final
2014-08-20 10:09:48	ga_ls8c_ard_3-0-0_098084_2014-08-20_final
2014-08-20 10:10:12	ga_ls8c_ard_3-0-0_098085_2014-08-20_final
2014-08-25 10:22:46	ga_ls8c_ard_3-0-0_101070_2014-08-25_final
2014-08-25 10:23:10	ga_ls8c_ard_3-0-0_101071_2014-08-25_final
2014-08-25 10:23:34	ga_ls8c_ard_3-1-0_101072_2014-08-25_final
2014-08-25 10:23:58	ga_ls8c_ard_3-0-0_101073_2014-08-25_final
2014-08-25 10:24:22	ga_ls8c_ard_3-0-0_101074_2014-08-25_final
2014-08-25 10:24:46	ga_ls8c_ard_3-0-0_101075_2014-08-25_final
2014-10-28 10:22:52	ga_ls8c_ard_3-0-0_101070_2014-10-28_final
2014-10-28 10:23:16	ga_ls8c_ard_3-0-0_101071_2014-10-28_final
2014-10-28 10:23:40	ga_ls8c_ard_3-1-0_101072_2014-10-28_final
2014-10-28 10:24:04	ga_ls8c_ard_3-0-0_101073_2014-10-28_final
2014-10-28 10:24:28	ga_ls8c_ard_3-0-0_101074_2014-10-28_final
2014-10-28 10:24:52	ga_ls8c_ard_3-0-0_101075_2014-10-28_final
2015-01-16 10:22:43	ga_ls8c_ard_3-0-0_101070_2015-01-16_final
2015-01-16 10:23:06	ga_ls8c_ard_3-0-0_101071_2015-01-16_final
2015-01-16 10:23:30	ga_ls8c_ard_3-0-0_101072_2015-01-16_final
2015-01-16 10:23:54	ga_ls8c_ard_3-0-0_101073_2015-01-16_final
2015-01-16 10:24:18	ga_ls8c_ard_3-0-0_101074_2015-01-16_final
2015-01-16 10:24:42	ga_ls8c_ard_3-0-0_101075_2015-01-16_final
2015-02-17 10:22:30	ga_ls8c_ard_3-0-0_101070_2015-02-17_final
2015-02-17 10:22:54	ga_ls8c_ard_3-0-0_101071_2015-02-17_final
2015-02-17 10:23:18	ga_ls8c_ard_3-0-0_101072_2015-02-17_final
2015-02-17 10:23:42	ga_ls8c_ard_3-0-0_101073_2015-02-17_final
2015-02-17 10:24:06	ga_ls8c_ard_3-0-0_101074_2015-02-17_final
2015-02-17 10:24:29	ga_ls8c_ard_3-0-0_101075_2015-02-17_final
2015-02-19 10:13:44	ga_ls8c_ard_3-0-0_099079_2015-02-19_final
2015-02-19 10:14:08	ga_ls8c_ard_3-0-0_099080_2015-02-19_final
2015-02-19 10:14:32	ga_ls8c_ard_3-0-0_099081_2015-02-19_final
2015-02-19 10:14:56	ga_ls8c_ard_3-0-0_099082_2015-02-19_final
2015-02-19 10:15:20	ga_ls8c_ard_3-0-0_099083_2015-02-19_final
2015-02-19 10:15:44	ga_ls8c_ard_3-0-0_099084_2015-02-19_final
2015-03-21 10:22:15	ga_ls8c_ard_3-0-0_101070_2015-03-21_final
2015-03-21 10:22:39	ga_ls8c_ard_3-0-0_101071_2015-03-21_final
2015-03-21 10:23:03	ga_ls8c_ard_3-0-0_101072_2015-03-21_final
2015-03-21 10:23:27	ga_ls8c_ard_3-0-0_101073_2015-03-21_final
2015-03-21 10:23:51	ga_ls8c_ard_3-0-0_101074_2015-03-21_final
2015-03-21 10:24:15	ga_ls8c_ard_3-0-0_101075_2015-03-21_final
2015-04-06 10:22:04	ga_ls8c_ard_3-0-0_101070_2015-04-06_final
2015-04-06 10:22:28	ga_ls8c_ard_3-0-0_101071_2015-04-06_final
2015-04-06 10:22:52	ga_ls8c_ard_3-0-0_101072_2015-04-06_final
2015-04-06 10:23:16	ga_ls8c_ard_3-0-0_101073_2015-04-06_final
2015-04-06 10:23:40	ga_ls8c_ard_3-0-0_101074_2015-04-06_final
2015-04-06 10:24:03	ga_ls8c_ard_3-0-0_101075_2015-04-06_final
2017-07-07 10:27:28	ga_ls8c_ard_3-0-0_102067_2017-07-07_final
2017-07-07 10:27:52	ga_ls8c_ard_3-0-0_102068_2017-07-07_final
2017-07-07 10:28:16	ga_ls8c_ard_3-0-0_102069_2017-07-07_final
2017-07-07 10:28:40	ga_ls8c_ard_3-0-0_102070_2017-07-07_final
2017-07-07 10:29:04	ga_ls8c_ard_3-0-0_102071_2017-07-07_final
2017-07-09 10:17:54	ga_ls8c_ard_3-0-0_100074_2017-07-09_final
2017-07-09 10:18:18	ga_ls8c_ard_3-0-0_100075_2017-07-09_final
2017-07-09 10:18:42	ga_ls8c_ard_3-0-0_100076_2017-07-09_final
2017-07-09 10:19:06	ga_ls8c_ard_3-0-0_100077_2017-07-09_final
2017-07-09 10:19:30	ga_ls8c_ard_3-0-0_100078_2017-07-09_final
2017-07-09 10:19:54	ga_ls8c_ard_3-0-0_100079_2017-07-09_final
2017-07-09 10:20:18	ga_ls8c_ard_3-0-0_100080_2017-07-09_final
2017-07-16 10:22:31	ga_ls8c_ard_3-0-0_101070_2017-07-16_final
2017-07-16 10:22:55	ga_ls8c_ard_3-0-0_101071_2017-07-16_final
2017-07-16 10:23:19	ga_ls8c_ard_3-0-0_101072_2017-07-16_final
2017-07-16 10:23:43	ga_ls8c_ard_3-0-0_101073_2017-07-16_final
2017-07-16 10:24:07	ga_ls8c_ard_3-0-0_101074_2017-07-16_final
2017-07-16 10:24:31	ga_ls8c_ard_3-0-0_101075_2017-07-16_final
2023-02-02 10:09:43	ga_ls8c_ard_3-2-1_098083_2023-02-02_final
2023-02-02 10:10:07	ga_ls8c_ard_3-2-1_098084_2023-02-02_final
2023-02-02 10:10:31	ga_ls8c_ard_3-2-1_098085_2023-02-02_final
2023-03-20 10:18:00	ga_ls8c_ard_3-2-1_100074_2023-03-20_final
2023-03-20 10:18:24	ga_ls8c_ard_3-2-1_100075_2023-03-20_final
2023-03-20 10:18:48	ga_ls8c_ard_3-2-1_100076_2023-03-20_final
2023-03-20 10:19:12	ga_ls8c_ard_3-2-1_100077_2023-03-20_final
2023-03-20 10:19:36	ga_ls8c_ard_3-2-1_100078_2023-03-20_final
2023-03-20 10:20:00	ga_ls8c_ard_3-2-1_100079_2023-03-20_final
2023-03-20 10:20:24	ga_ls8c_ard_3-2-1_100080_2023-03-20_final
2023-03-22 10:09:12	ga_ls8c_ard_3-2-1_098083_2023-03-22_final
2023-03-22 10:09:36	ga_ls8c_ard_3-2-1_098084_2023-03-22_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