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
2013-04-28 10:48:46	ga_ls8c_ard_3-0-0_105069_2013-04-28_final
2013-05-29 10:05:24	ga_ls8c_ard_3-0-0_098068_2013-05-29_final
2013-08-24 11:54:03	ga_ls8c_ard_3-0-0_115077_2013-08-24_final
2013-08-26 10:02:24	ga_ls8c_ard_3-0-0_097076_2013-08-26_final
2013-09-27 10:02:13	ga_ls8c_ard_3-0-0_097076_2013-09-27_final
2014-01-08 10:05:03	ga_ls8c_ard_3-0-0_098069_2014-01-08_final
2014-02-25 10:04:04	ga_ls8c_ard_3-0-0_098068_2014-02-25_final
2014-02-25 10:04:28	ga_ls8c_ard_3-0-0_098069_2014-02-25_final
2014-05-25 09:59:52	ga_ls8c_ard_3-0-0_097076_2014-05-25_final
2014-08-04 10:03:45	ga_ls8c_ard_3-0-0_098069_2014-08-04_final
2014-08-21 10:47:05	ga_ls8c_ard_3-0-0_105069_2014-08-21_final
2014-08-29 10:00:26	ga_ls8c_ard_3-0-0_097076_2014-08-29_final
2014-11-06 10:20:43	ga_ls8c_ard_3-0-0_100080_2014-11-06_final
2014-11-15 11:52:13	ga_ls8c_ard_3-0-0_115077_2014-11-15_final
2014-12-26 10:03:50	ga_ls8c_ard_3-0-0_098069_2014-12-26_final
2015-01-25 10:20:27	ga_ls8c_ard_3-0-0_100080_2015-01-25_final
2015-02-10 10:20:22	ga_ls8c_ard_3-0-0_100080_2015-02-10_final
2015-02-16 11:20:31	ga_ls8c_ard_3-0-0_110076_2015-02-16_final
2015-03-09 10:00:02	ga_ls8c_ard_3-0-0_097076_2015-03-09_final
2015-04-21 11:20:04	ga_ls8c_ard_3-0-0_110076_2015-04-21_final
2015-06-29 09:59:44	ga_ls8c_ard_3-0-0_097076_2015-06-29_final
2015-07-15 09:59:54	ga_ls8c_ard_3-0-0_097076_2015-07-15_final
2015-07-22 10:03:20	ga_ls8c_ard_3-0-0_098069_2015-07-22_final
2015-08-30 11:51:48	ga_ls8c_ard_3-0-0_115077_2015-08-30_final
2015-10-17 11:52:01	ga_ls8c_ard_3-0-0_115077_2015-10-17_final
2015-11-20 10:00:30	ga_ls8c_ard_3-0-0_097076_2015-11-20_final
2015-12-29 10:03:52	ga_ls8c_ard_3-0-0_098069_2015-12-29_final
2016-01-14 10:03:50	ga_ls8c_ard_3-0-0_098069_2016-01-14_final
2016-03-27 10:00:04	ga_ls8c_ard_3-0-0_097076_2016-03-27_final
2016-04-28 09:59:55	ga_ls8c_ard_3-0-0_097076_2016-04-28_final
2016-05-14 09:59:54	ga_ls8c_ard_3-0-0_097076_2016-05-14_final
2016-07-15 11:51:57	ga_ls8c_ard_3-0-0_115077_2016-07-15_final
2016-07-24 10:03:44	ga_ls8c_ard_3-0-0_098069_2016-07-24_final
2016-11-06 09:57:06	ga_ls8c_ard_3-0-0_097067_2016-11-06_final
2016-11-20 11:52:21	ga_ls8c_ard_3-0-0_115077_2016-11-20_final
2016-11-29 10:04:05	ga_ls8c_ard_3-0-0_098069_2016-11-29_final
2016-12-16 10:47:16	ga_ls8c_ard_3-0-0_105069_2016-12-16_final
2017-01-09 09:56:57	ga_ls8c_ard_3-0-0_097067_2017-01-09_final
2017-03-21 10:03:24	ga_ls8c_ard_3-0-0_098069_2017-03-21_final
2017-11-13 11:18:22	ga_ls8c_ard_3-0-0_109085_2017-11-13_final
2018-02-04 10:03:37	ga_ls8c_ard_3-0-0_098069_2018-02-04_final
2018-02-26 09:29:35	ga_ls8c_ard_3-0-0_092077_2018-02-25_final
2018-03-17 09:59:55	ga_ls8c_ard_3-0-0_097076_2018-03-17_final
2018-04-02 09:59:48	ga_ls8c_ard_3-0-0_097076_2018-04-02_final
2018-06-28 10:02:46	ga_ls8c_ard_3-0-0_098069_2018-06-28_final
2018-07-14 10:02:54	ga_ls8c_ard_3-0-0_098069_2018-07-14_final
2018-07-23 09:59:35	ga_ls8c_ard_3-0-0_097076_2018-07-23_final
2018-07-30 10:03:01	ga_ls8c_ard_3-0-0_098069_2018-07-30_final
2018-08-12 11:17:31	ga_ls8c_ard_3-0-0_109085_2018-08-12_final
2018-08-15 10:02:47	ga_ls8c_ard_3-0-0_098068_2018-08-15_final
2018-08-24 09:59:52	ga_ls8c_ard_3-0-0_097076_2018-08-24_final
2018-09-20 11:20:20	ga_ls8c_ard_3-0-0_110076_2018-09-20_final
2018-10-25 11:51:54	ga_ls8c_ard_3-0-0_115077_2018-10-25_final
2018-11-04 10:46:56	ga_ls8c_ard_3-0-0_105069_2018-11-04_final
2018-12-03 10:20:24	ga_ls8c_ard_3-0-0_100080_2018-12-03_final
2018-12-22 10:46:53	ga_ls8c_ard_3-0-0_105069_2018-12-22_final
2018-12-30 10:00:14	ga_ls8c_ard_3-0-0_097076_2018-12-30_final
2019-01-01 09:49:52	ga_ls8c_ard_3-0-0_095081_2019-01-01_final
2019-01-01 09:50:40	ga_ls8c_ard_3-0-0_095083_2019-01-01_final
2019-01-08 09:53:14	ga_ls8c_ard_3-0-0_096074_2019-01-08_final
2019-01-08 11:31:20	ga_ls8c_ard_3-0-0_112072_2019-01-08_final
2019-01-09 10:36:54	ga_ls8c_ard_3-0-0_103075_2019-01-09_final
2019-01-17 09:48:38	ga_ls8c_ard_3-0-0_095078_2019-01-17_final
2019-01-17 09:50:37	ga_ls8c_ard_3-0-0_095083_2019-01-17_final
2019-01-21 11:02:46	ga_ls8c_ard_3-0-0_107078_2019-01-21_final
2019-01-22 11:44:50	ga_ls8c_ard_3-0-0_114075_2019-01-22_final
2019-01-22 11:45:38	ga_ls8c_ard_3-0-0_114077_2019-01-22_final
2019-01-24 09:53:11	ga_ls8c_ard_3-0-0_096074_2019-01-24_final
2019-01-24 11:31:16	ga_ls8c_ard_3-0-0_112072_2019-01-24_final
2019-01-25 10:36:50	ga_ls8c_ard_3-0-0_103075_2019-01-25_final
2019-01-29 11:51:47	ga_ls8c_ard_3-0-0_115077_2019-01-29_final
2019-02-02 09:49:46	ga_ls8c_ard_3-0-0_095081_2019-02-02_final
2019-02-02 09:50:34	ga_ls8c_ard_3-0-0_095083_2019-02-02_final
2019-02-07 11:44:47	ga_ls8c_ard_3-0-0_114075_2019-02-07_final
2019-02-07 11:45:35	ga_ls8c_ard_3-0-0_114077_2019-02-07_final
2019-02-09 09:53:08	ga_ls8c_ard_3-0-0_096074_2019-02-09_final
2019-02-09 11:31:13	ga_ls8c_ard_3-0-0_112072_2019-02-09_final
2019-02-10 10:36:48	ga_ls8c_ard_3-0-0_103075_2019-02-10_final
2019-02-18 09:48:32	ga_ls8c_ard_3-0-0_095078_2019-02-18_final
2019-02-18 09:49:44	ga_ls8c_ard_3-0-0_095081_2019-02-18_final
2019-02-18 09:50:31	ga_ls8c_ard_3-0-0_095083_2019-02-18_final
2019-02-23 11:45:32	ga_ls8c_ard_3-0-0_114077_2019-02-23_final
2019-02-25 09:53:05	ga_ls8c_ard_3-0-0_096074_2019-02-25_final
2019-02-26 10:36:44	ga_ls8c_ard_3-0-0_103075_2019-02-26_final
2019-03-02 11:50:05	ga_ls8c_ard_3-0-0_115073_2019-03-02_final
2019-03-06 09:49:39	ga_ls8c_ard_3-0-0_095081_2019-03-06_final
2019-03-06 09:50:27	ga_ls8c_ard_3-0-0_095083_2019-03-06_final
2019-04-27 11:02:21	ga_ls8c_ard_3-0-0_107078_2019-04-27_final
2019-04-28 10:03:09	ga_ls8c_ard_3-0-0_098069_2019-04-28_final
2019-04-30 09:52:48	ga_ls8c_ard_3-0-0_096074_2019-04-30_final
2019-04-30 11:30:53	ga_ls8c_ard_3-0-0_112072_2019-04-30_final
2019-05-01 10:36:28	ga_ls8c_ard_3-0-0_103075_2019-05-01_final
2019-05-02 11:21:20	ga_ls8c_ard_3-0-0_110079_2019-05-02_final
2019-05-09 09:50:18	ga_ls8c_ard_3-0-0_095083_2019-05-09_final
2019-05-14 11:45:23	ga_ls8c_ard_3-0-0_114077_2019-05-14_final
2019-05-16 09:52:58	ga_ls8c_ard_3-0-0_096074_2019-05-16_final
2019-05-17 10:36:38	ga_ls8c_ard_3-0-0_103075_2019-05-17_final
2019-05-30 11:45:32	ga_ls8c_ard_3-0-0_114077_2019-05-30_final
2019-06-01 09:53:06	ga_ls8c_ard_3-0-0_096074_2019-06-01_final
2019-06-02 10:36:47	ga_ls8c_ard_3-0-0_103075_2019-06-02_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