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
2013-04-30 10:38:49	ga_ls8c_ard_3-0-0_103075_2013-04-30_final
2013-04-30 10:39:13	ga_ls8c_ard_3-0-0_103076_2013-04-30_final
2013-04-30 10:39:37	ga_ls8c_ard_3-0-0_103077_2013-04-30_final
2013-04-30 10:40:01	ga_ls8c_ard_3-0-0_103078_2013-04-30_final
2013-04-30 10:40:25	ga_ls8c_ard_3-0-0_103079_2013-04-30_final
2013-04-30 10:40:49	ga_ls8c_ard_3-0-0_103080_2013-04-30_final
2013-07-01 10:48:35	ga_ls8c_ard_3-0-0_105068_2013-07-01_final
2013-07-01 10:48:59	ga_ls8c_ard_3-0-0_105069_2013-07-01_final
2013-07-01 10:49:23	ga_ls8c_ard_3-0-0_105070_2013-07-01_final
2013-07-01 10:49:46	ga_ls8c_ard_3-0-0_105071_2013-07-01_final
2013-07-03 10:38:37	ga_ls8c_ard_3-0-0_103074_2013-07-03_final
2013-07-03 10:39:01	ga_ls8c_ard_3-0-0_103075_2013-07-03_final
2013-07-03 10:39:25	ga_ls8c_ard_3-0-0_103076_2013-07-03_final
2013-07-03 10:39:49	ga_ls8c_ard_3-0-0_103077_2013-07-03_final
2013-07-03 10:40:13	ga_ls8c_ard_3-0-0_103078_2013-07-03_final
2013-07-03 10:40:37	ga_ls8c_ard_3-0-0_103079_2013-07-03_final
2013-07-03 10:41:01	ga_ls8c_ard_3-0-0_103080_2013-07-03_final
2013-07-17 10:48:35	ga_ls8c_ard_3-0-0_105068_2013-07-17_final
2013-07-17 10:48:59	ga_ls8c_ard_3-0-0_105069_2013-07-17_final
2013-07-17 10:49:23	ga_ls8c_ard_3-0-0_105070_2013-07-17_final
2013-07-17 10:49:47	ga_ls8c_ard_3-0-0_105071_2013-07-17_final
2013-07-19 10:39:00	ga_ls8c_ard_3-0-0_103075_2013-07-19_final
2013-07-19 10:39:24	ga_ls8c_ard_3-0-0_103076_2013-07-19_final
2013-07-19 10:39:48	ga_ls8c_ard_3-0-0_103077_2013-07-19_final
2013-07-19 10:40:12	ga_ls8c_ard_3-0-0_103078_2013-07-19_final
2013-07-19 10:40:36	ga_ls8c_ard_3-0-0_103079_2013-07-19_final
2013-07-19 10:41:00	ga_ls8c_ard_3-0-0_103080_2013-07-19_final
2013-08-22 10:29:55	ga_ls8c_ard_3-0-0_101083_2013-08-22_final
2013-09-12 10:43:14	ga_ls8c_ard_3-0-0_104070_2013-09-12_final
2013-09-12 10:43:38	ga_ls8c_ard_3-0-0_104071_2013-09-12_final
2013-09-12 10:44:01	ga_ls8c_ard_3-0-0_104072_2013-09-12_final
2013-09-12 10:44:25	ga_ls8c_ard_3-0-0_104073_2013-09-12_final
2013-09-12 10:44:49	ga_ls8c_ard_3-0-0_104074_2013-09-12_final
2013-09-12 10:45:13	ga_ls8c_ard_3-0-0_104075_2013-09-12_final
2013-09-14 10:35:14	ga_ls8c_ard_3-0-0_102081_2013-09-14_final
2013-09-14 10:35:38	ga_ls8c_ard_3-0-0_102082_2013-09-14_final
2015-02-01 10:27:49	ga_ls8c_ard_3-0-0_101083_2015-02-01_final
2018-02-23 10:36:48	ga_ls8c_ard_3-0-0_103075_2018-02-23_final
2018-02-23 10:37:12	ga_ls8c_ard_3-0-0_103076_2018-02-23_final
2018-02-23 10:37:36	ga_ls8c_ard_3-0-0_103077_2018-02-23_final
2018-02-23 10:37:59	ga_ls8c_ard_3-0-0_103078_2018-02-23_final
2018-02-23 10:38:23	ga_ls8c_ard_3-1-0_103079_2018-02-23_final
2018-02-23 10:38:47	ga_ls8c_ard_3-0-0_103080_2018-02-23_final
2018-02-25 10:27:37	ga_ls8c_ard_3-0-0_101083_2018-02-25_final
2018-02-25 10:28:01	ga_ls8c_ard_3-0-0_101084_2018-02-25_final
2018-03-11 10:36:39	ga_ls8c_ard_3-0-0_103075_2018-03-11_final
2018-03-11 10:37:03	ga_ls8c_ard_3-0-0_103076_2018-03-11_final
2018-03-11 10:37:27	ga_ls8c_ard_3-0-0_103077_2018-03-11_final
2018-03-11 10:37:51	ga_ls8c_ard_3-0-0_103078_2018-03-11_final
2018-03-11 10:38:15	ga_ls8c_ard_3-0-0_103079_2018-03-11_final
2018-03-11 10:38:39	ga_ls8c_ard_3-0-0_103080_2018-03-11_final
2018-03-13 10:27:28	ga_ls8c_ard_3-0-0_101083_2018-03-13_final
2018-03-13 10:27:52	ga_ls8c_ard_3-0-0_101084_2018-03-13_final
2018-07-01 10:35:42	ga_ls8c_ard_3-0-0_103074_2018-07-01_final
2018-07-01 10:36:06	ga_ls8c_ard_3-0-0_103075_2018-07-01_final
2018-07-01 10:36:30	ga_ls8c_ard_3-0-0_103076_2018-07-01_final
2018-07-01 10:36:54	ga_ls8c_ard_3-0-0_103077_2018-07-01_final
2018-07-01 10:37:18	ga_ls8c_ard_3-0-0_103078_2018-07-01_final
2018-07-01 10:37:42	ga_ls8c_ard_3-0-0_103079_2018-07-01_final
2018-07-01 10:38:06	ga_ls8c_ard_3-0-0_103080_2018-07-01_final
2018-07-03 10:26:57	ga_ls8c_ard_3-0-0_101083_2018-07-03_final
2018-07-03 10:27:21	ga_ls8c_ard_3-0-0_101084_2018-07-03_final
2019-07-04 10:36:33	ga_ls8c_ard_3-1-0_103074_2019-07-04_final
2019-07-04 10:36:57	ga_ls8c_ard_3-1-0_103075_2019-07-04_final
2019-07-04 10:37:21	ga_ls8c_ard_3-1-0_103076_2019-07-04_final
2019-07-04 10:37:45	ga_ls8c_ard_3-1-0_103077_2019-07-04_final
2019-07-04 10:38:09	ga_ls8c_ard_3-1-0_103078_2019-07-04_final
2019-07-04 10:38:33	ga_ls8c_ard_3-1-0_103079_2019-07-04_final
2019-07-04 10:38:57	ga_ls8c_ard_3-1-0_103080_2019-07-04_final
2019-07-06 10:27:48	ga_ls8c_ard_3-1-0_101083_2019-07-06_final
2019-07-06 10:28:12	ga_ls8c_ard_3-1-0_101084_2019-07-06_final
2019-07-13 10:32:24	ga_ls8c_ard_3-1-0_102079_2019-07-13_final
2019-07-13 10:32:48	ga_ls8c_ard_3-1-0_102080_2019-07-13_final
2019-07-13 10:33:12	ga_ls8c_ard_3-1-0_102081_2019-07-13_final
2019-07-13 10:33:36	ga_ls8c_ard_3-1-0_102082_2019-07-13_final
2019-07-13 10:34:00	ga_ls8c_ard_3-1-0_102083_2019-07-13_final
2019-10-01 10:32:49	ga_ls8c_ard_3-1-0_102079_2019-10-01_final
2019-10-01 10:33:13	ga_ls8c_ard_3-1-0_102080_2019-10-01_final
2019-10-01 10:33:37	ga_ls8c_ard_3-1-0_102081_2019-10-01_final
2019-10-01 10:34:01	ga_ls8c_ard_3-1-0_102082_2019-10-01_final
2019-10-01 10:34:24	ga_ls8c_ard_3-1-0_102083_2019-10-01_final
2019-10-06 10:46:35	ga_ls8c_ard_3-1-0_105067_2019-10-06_final
2019-10-06 10:46:59	ga_ls8c_ard_3-1-0_105068_2019-10-06_final
2019-10-06 10:47:23	ga_ls8c_ard_3-1-0_105069_2019-10-06_final
2019-10-06 10:47:47	ga_ls8c_ard_3-1-0_105070_2019-10-06_final
2019-10-06 10:48:11	ga_ls8c_ard_3-1-0_105071_2019-10-06_final
2019-10-08 10:37:01	ga_ls8c_ard_3-1-0_103074_2019-10-08_final
2019-10-08 10:37:25	ga_ls8c_ard_3-1-0_103075_2019-10-08_final
2019-10-08 10:37:49	ga_ls8c_ard_3-1-0_103076_2019-10-08_final
2019-10-08 10:38:13	ga_ls8c_ard_3-1-0_103077_2019-10-08_final
2019-10-08 10:38:37	ga_ls8c_ard_3-1-0_103078_2019-10-08_final
2019-10-08 10:39:01	ga_ls8c_ard_3-1-0_103079_2019-10-08_final
2019-10-08 10:39:25	ga_ls8c_ard_3-1-0_103080_2019-10-08_final
2019-11-09 10:37:25	ga_ls8c_ard_3-1-0_103075_2019-11-09_final
2019-11-09 10:37:49	ga_ls8c_ard_3-1-0_103076_2019-11-09_final
2019-11-09 10:38:13	ga_ls8c_ard_3-1-0_103077_2019-11-09_final
2019-11-09 10:38:37	ga_ls8c_ard_3-1-0_103078_2019-11-09_final
2019-11-09 10:39:00	ga_ls8c_ard_3-1-0_103079_2019-11-09_final
2019-11-09 10:39:24	ga_ls8c_ard_3-1-0_103080_2019-11-09_final
2019-11-11 10:28:14	ga_ls8c_ard_3-1-0_101083_2019-11-11_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