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
2013-09-01 09:23:44	ga_ls8c_ard_3-0-0_091072_2013-08-31_final
2013-09-01 09:24:08	ga_ls8c_ard_3-0-0_091073_2013-08-31_final
2013-09-03 09:13:45	ga_ls8c_ard_3-0-0_089078_2013-09-02_final
2013-09-03 09:14:09	ga_ls8c_ard_3-0-0_089079_2013-09-02_final
2013-09-03 09:14:33	ga_ls8c_ard_3-0-0_089080_2013-09-02_final
2013-09-03 09:14:57	ga_ls8c_ard_3-0-0_089081_2013-09-02_final
2013-09-03 09:15:21	ga_ls8c_ard_3-0-0_089082_2013-09-02_final
2013-09-03 09:15:45	ga_ls8c_ard_3-0-0_089083_2013-09-02_final
2013-10-21 09:13:32	ga_ls8c_ard_3-0-0_089078_2013-10-20_final
2013-10-21 09:13:56	ga_ls8c_ard_3-0-0_089079_2013-10-20_final
2013-10-21 09:15:07	ga_ls8c_ard_3-0-0_089082_2013-10-20_final
2013-10-21 09:15:31	ga_ls8c_ard_3-0-0_089083_2013-10-20_final
2013-11-06 09:13:28	ga_ls8c_ard_3-0-0_089078_2013-11-05_final
2013-11-06 09:13:52	ga_ls8c_ard_3-0-0_089079_2013-11-05_final
2013-11-06 09:14:16	ga_ls8c_ard_3-0-0_089080_2013-11-05_final
2013-11-06 09:14:40	ga_ls8c_ard_3-0-0_089081_2013-11-05_final
2013-11-06 09:15:03	ga_ls8c_ard_3-0-0_089082_2013-11-05_final
2013-11-06 09:15:27	ga_ls8c_ard_3-0-0_089083_2013-11-05_final
2013-12-08 09:13:20	ga_ls8c_ard_3-0-0_089078_2013-12-07_final
2013-12-08 09:13:44	ga_ls8c_ard_3-0-0_089079_2013-12-07_final
2013-12-08 09:14:08	ga_ls8c_ard_3-0-0_089080_2013-12-07_final
2013-12-08 09:14:31	ga_ls8c_ard_3-0-0_089081_2013-12-07_final
2013-12-08 09:14:55	ga_ls8c_ard_3-0-0_089082_2013-12-07_final
2013-12-08 09:15:19	ga_ls8c_ard_3-0-0_089083_2013-12-07_final
2013-12-15 09:18:14	ga_ls8c_ard_3-0-0_090075_2013-12-14_final
2013-12-15 09:18:38	ga_ls8c_ard_3-0-0_090076_2013-12-14_final
2013-12-15 09:19:02	ga_ls8c_ard_3-0-0_090077_2013-12-14_final
2013-12-15 09:19:26	ga_ls8c_ard_3-0-0_090078_2013-12-14_final
2013-12-15 09:19:50	ga_ls8c_ard_3-0-0_090079_2013-12-14_final
2014-01-07 09:21:24	ga_ls8c_ard_3-0-0_091068_2014-01-06_final
2014-01-09 09:13:00	ga_ls8c_ard_3-0-0_089078_2014-01-08_final
2014-12-04 09:07:18	ga_ls8c_ard_3-0-0_088082_2014-12-03_final
2014-12-20 09:07:16	ga_ls8c_ard_3-0-0_088082_2014-12-19_final
2015-01-01 09:25:53	ga_ls8c_ard_3-0-0_092067_2014-12-31_final
2015-01-01 09:26:17	ga_ls8c_ard_3-0-0_092068_2014-12-31_final
2015-02-02 09:25:49	ga_ls8c_ard_3-0-0_092067_2015-02-01_final
2015-02-02 09:26:13	ga_ls8c_ard_3-0-0_092068_2015-02-01_final
2015-02-27 09:19:52	ga_ls8c_ard_3-0-0_091068_2015-02-26_final
2015-02-27 09:21:28	ga_ls8c_ard_3-0-0_091072_2015-02-26_final
2015-02-27 09:21:52	ga_ls8c_ard_3-0-0_091073_2015-02-26_final
2015-02-27 09:22:16	ga_ls8c_ard_3-0-0_091074_2015-02-26_final
2015-03-01 09:11:29	ga_ls8c_ard_3-0-0_089078_2015-02-28_final
2015-03-01 09:11:53	ga_ls8c_ard_3-0-0_089079_2015-02-28_final
2015-03-01 09:12:17	ga_ls8c_ard_3-0-0_089080_2015-02-28_final
2015-03-01 09:12:41	ga_ls8c_ard_3-0-0_089081_2015-02-28_final
2015-03-01 09:13:05	ga_ls8c_ard_3-0-0_089082_2015-02-28_final
2015-03-01 09:13:29	ga_ls8c_ard_3-0-0_089083_2015-02-28_final
2015-03-10 09:06:47	ga_ls8c_ard_3-0-0_088082_2015-03-09_final
2015-03-10 09:07:11	ga_ls8c_ard_3-0-0_088083_2015-03-09_final
2015-04-02 09:11:07	ga_ls8c_ard_3-0-0_089078_2015-04-01_final
2015-04-02 09:11:31	ga_ls8c_ard_3-0-0_089079_2015-04-01_final
2015-04-02 09:11:54	ga_ls8c_ard_3-0-0_089080_2015-04-01_final
2015-04-02 09:12:18	ga_ls8c_ard_3-0-0_089081_2015-04-01_final
2015-04-02 09:12:42	ga_ls8c_ard_3-0-0_089082_2015-04-01_final
2015-04-02 09:13:06	ga_ls8c_ard_3-0-0_089083_2015-04-01_final
2016-09-09 09:21:54	ga_ls8c_ard_3-0-0_091072_2016-09-08_final
2016-09-09 09:22:18	ga_ls8c_ard_3-0-0_091073_2016-09-08_final
2016-09-09 09:22:42	ga_ls8c_ard_3-0-0_091074_2016-09-08_final
2016-10-02 09:26:07	ga_ls8c_ard_3-0-0_092067_2016-10-01_final
2016-10-02 09:26:31	ga_ls8c_ard_3-0-0_092068_2016-10-01_final
2016-10-18 09:26:12	ga_ls8c_ard_3-0-0_092067_2016-10-17_final
2016-10-18 09:26:36	ga_ls8c_ard_3-0-0_092068_2016-10-17_final
2016-10-27 09:20:26	ga_ls8c_ard_3-0-0_091068_2016-10-26_final
2016-10-27 09:22:02	ga_ls8c_ard_3-0-0_091072_2016-10-26_final
2016-10-27 09:22:26	ga_ls8c_ard_3-0-0_091073_2016-10-26_final
2016-10-27 09:22:50	ga_ls8c_ard_3-0-0_091074_2016-10-26_final
2017-07-17 09:25:42	ga_ls8c_ard_3-0-0_092067_2017-07-16_final
2017-07-17 09:26:06	ga_ls8c_ard_3-0-0_092068_2017-07-16_final
2017-08-02 09:25:50	ga_ls8c_ard_3-0-0_092067_2017-08-01_final
2017-08-02 09:26:14	ga_ls8c_ard_3-0-0_092068_2017-08-01_final
2017-08-13 09:11:45	ga_ls8c_ard_3-0-0_089078_2017-08-12_final
2017-08-13 09:12:09	ga_ls8c_ard_3-0-0_089079_2017-08-12_final
2017-08-13 09:12:33	ga_ls8c_ard_3-0-0_089080_2017-08-12_final
2017-08-13 09:12:57	ga_ls8c_ard_3-0-0_089081_2017-08-12_final
2017-08-13 09:13:21	ga_ls8c_ard_3-0-0_089082_2017-08-12_final
2017-08-13 09:13:45	ga_ls8c_ard_3-0-0_089083_2017-08-12_final
2017-08-18 09:25:56	ga_ls8c_ard_3-0-0_092067_2017-08-17_final
2017-08-18 09:26:20	ga_ls8c_ard_3-0-0_092068_2017-08-17_final
2017-09-12 09:21:47	ga_ls8c_ard_3-0-0_091072_2017-09-11_final
2017-09-12 09:22:11	ga_ls8c_ard_3-0-0_091073_2017-09-11_final
2017-09-12 09:22:35	ga_ls8c_ard_3-0-0_091074_2017-09-11_final
2017-09-14 09:11:49	ga_ls8c_ard_3-0-0_089078_2017-09-13_final
2017-09-14 09:12:13	ga_ls8c_ard_3-0-0_089079_2017-09-13_final
2017-09-14 09:12:37	ga_ls8c_ard_3-0-0_089080_2017-09-13_final
2017-09-14 09:13:01	ga_ls8c_ard_3-0-0_089081_2017-09-13_final
2017-09-14 09:13:25	ga_ls8c_ard_3-0-0_089082_2017-09-13_final
2017-09-14 09:13:49	ga_ls8c_ard_3-0-0_089083_2017-09-13_final
2017-10-05 09:26:07	ga_ls8c_ard_3-0-0_092067_2017-10-04_final
2017-10-05 09:26:31	ga_ls8c_ard_3-0-0_092068_2017-10-04_final
2017-10-21 09:26:10	ga_ls8c_ard_3-0-0_092067_2017-10-20_final
2017-10-21 09:26:34	ga_ls8c_ard_3-0-0_092068_2017-10-20_final
2019-02-13 09:25:37	ga_ls8c_ard_3-0-0_092067_2019-02-12_final
2019-02-13 09:26:01	ga_ls8c_ard_3-0-0_092068_2019-02-12_final
2019-02-24 09:11:25	ga_ls8c_ard_3-0-0_089078_2019-02-23_final
2019-02-24 09:11:49	ga_ls8c_ard_3-0-0_089079_2019-02-23_final
2019-02-24 09:12:13	ga_ls8c_ard_3-0-0_089080_2019-02-23_final
2019-02-24 09:12:37	ga_ls8c_ard_3-0-0_089081_2019-02-23_final
2019-02-24 09:13:01	ga_ls8c_ard_3-0-0_089082_2019-02-23_final
2019-02-24 09:13:25	ga_ls8c_ard_3-0-0_089083_2019-02-23_final
2019-05-20 09:25:29	ga_ls8c_ard_3-0-0_092067_2019-05-19_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years