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
2013-06-07 11:39:41	ga_ls8c_ard_3-0-0_113072_2013-06-07_final
2013-07-09 11:39:38	ga_ls8c_ard_3-0-0_113072_2013-07-09_final
2013-07-25 11:39:37	ga_ls8c_ard_3-0-0_113072_2013-07-25_final
2013-09-11 11:39:39	ga_ls8c_ard_3-0-0_113072_2013-09-11_final
2013-11-30 11:39:16	ga_ls8c_ard_3-0-0_113072_2013-11-30_final
2014-05-25 11:37:10	ga_ls8c_ard_3-0-0_113072_2014-05-25_final
2014-07-28 11:37:34	ga_ls8c_ard_3-0-0_113072_2014-07-28_final
2014-09-14 11:37:47	ga_ls8c_ard_3-0-0_113072_2014-09-14_final
2014-11-17 11:37:51	ga_ls8c_ard_3-0-0_113072_2014-11-17_final
2014-12-03 11:37:50	ga_ls8c_ard_3-0-0_113072_2014-12-03_final
2015-01-04 11:37:41	ga_ls8c_ard_3-0-0_113072_2015-01-04_final
2015-02-05 11:37:34	ga_ls8c_ard_3-0-0_113072_2015-02-05_final
2015-04-26 11:36:57	ga_ls8c_ard_3-0-0_113072_2015-04-26_final
2015-05-12 11:36:41	ga_ls8c_ard_3-0-0_113072_2015-05-12_final
2015-07-15 11:37:12	ga_ls8c_ard_3-0-0_113072_2015-07-15_final
2015-08-16 11:37:22	ga_ls8c_ard_3-0-0_113072_2015-08-16_final
2015-09-01 11:37:27	ga_ls8c_ard_3-0-0_113072_2015-09-01_final
2015-09-17 11:37:36	ga_ls8c_ard_3-0-0_113072_2015-09-17_final
2015-10-03 11:37:40	ga_ls8c_ard_3-0-0_113072_2015-10-03_final
2015-10-19 11:37:41	ga_ls8c_ard_3-0-0_113072_2015-10-19_final
2015-11-04 11:37:46	ga_ls8c_ard_3-0-0_113072_2015-11-04_final
2015-11-20 11:37:47	ga_ls8c_ard_3-0-0_113072_2015-11-20_final
2015-12-06 11:37:47	ga_ls8c_ard_3-0-0_113072_2015-12-06_final
2015-12-22 11:37:47	ga_ls8c_ard_3-0-0_113072_2015-12-22_final
2016-01-07 11:37:43	ga_ls8c_ard_3-0-0_113072_2016-01-07_final
2016-01-23 11:37:44	ga_ls8c_ard_3-0-0_113072_2016-01-23_final
2016-02-08 11:37:39	ga_ls8c_ard_3-0-0_113072_2016-02-08_final
2016-02-24 11:37:33	ga_ls8c_ard_3-0-0_113072_2016-02-24_final
2016-03-11 11:37:30	ga_ls8c_ard_3-0-0_113072_2016-03-11_final
2016-03-27 11:37:21	ga_ls8c_ard_3-0-0_113072_2016-03-27_final
2016-04-12 11:37:15	ga_ls8c_ard_3-0-0_113072_2016-04-12_final
2016-04-28 11:37:12	ga_ls8c_ard_3-0-0_113072_2016-04-28_final
2016-05-14 11:37:11	ga_ls8c_ard_3-0-0_113072_2016-05-14_final
2016-05-30 11:37:18	ga_ls8c_ard_3-0-0_113072_2016-05-30_final
2016-06-15 11:37:21	ga_ls8c_ard_3-0-0_113072_2016-06-15_final
2016-07-01 11:37:30	ga_ls8c_ard_3-0-0_113072_2016-07-01_final
2016-07-17 11:37:37	ga_ls8c_ard_3-0-0_113072_2016-07-17_final
2016-08-02 11:37:40	ga_ls8c_ard_3-0-0_113072_2016-08-02_final
2016-08-18 11:37:44	ga_ls8c_ard_3-0-0_113072_2016-08-18_final
2016-09-03 11:37:51	ga_ls8c_ard_3-0-0_113072_2016-09-03_final
2016-09-19 11:37:53	ga_ls8c_ard_3-0-0_113072_2016-09-19_final
2016-10-05 11:37:55	ga_ls8c_ard_3-0-0_113072_2016-10-05_final
2016-10-21 11:38:00	ga_ls8c_ard_3-0-0_113072_2016-10-21_final
2016-11-06 11:37:59	ga_ls8c_ard_3-0-0_113072_2016-11-06_final
2016-11-22 11:37:59	ga_ls8c_ard_3-0-0_113072_2016-11-22_final
2016-12-08 11:37:57	ga_ls8c_ard_3-0-0_113072_2016-12-08_final
2016-12-24 11:37:53	ga_ls8c_ard_3-0-0_113072_2016-12-24_final
2017-01-09 11:37:50	ga_ls8c_ard_3-0-0_113072_2017-01-09_final
2017-01-25 11:37:45	ga_ls8c_ard_3-0-0_113072_2017-01-25_final
2017-02-10 11:37:36	ga_ls8c_ard_3-0-0_113072_2017-02-10_final
2017-02-26 11:37:31	ga_ls8c_ard_3-0-0_113072_2017-02-26_final
2017-03-14 11:37:23	ga_ls8c_ard_3-0-0_113072_2017-03-14_final
2017-03-30 11:37:14	ga_ls8c_ard_3-0-0_113072_2017-03-30_final
2017-04-15 11:37:06	ga_ls8c_ard_3-0-0_113072_2017-04-15_final
2017-05-01 11:36:56	ga_ls8c_ard_3-0-0_113072_2017-05-01_final
2017-05-08 11:46:46	ga_ls8c_ard_3-0-0_114081_2017-05-08_final
2017-05-17 11:37:06	ga_ls8c_ard_3-0-0_113072_2017-05-17_final
2017-05-24 11:46:57	ga_ls8c_ard_3-0-0_114081_2017-05-24_final
2017-06-02 11:37:16	ga_ls8c_ard_3-0-0_113072_2017-06-02_final
2017-06-09 11:47:05	ga_ls8c_ard_3-0-0_114081_2017-06-09_final
2017-06-18 11:37:22	ga_ls8c_ard_3-0-0_113072_2017-06-18_final
2017-06-25 11:47:10	ga_ls8c_ard_3-0-0_114081_2017-06-25_final
2017-07-04 11:37:26	ga_ls8c_ard_3-0-0_113072_2017-07-04_final
2017-07-20 11:37:31	ga_ls8c_ard_3-0-0_113072_2017-07-20_final
2017-07-27 11:47:21	ga_ls8c_ard_3-0-0_114081_2017-07-27_final
2017-08-05 11:37:38	ga_ls8c_ard_3-0-0_113072_2017-08-05_final
2017-08-21 11:37:43	ga_ls8c_ard_3-0-0_113072_2017-08-21_final
2017-08-28 11:47:31	ga_ls8c_ard_3-0-0_114081_2017-08-28_final
2017-09-13 11:47:32	ga_ls8c_ard_3-0-0_114081_2017-09-13_final
2017-09-22 11:37:49	ga_ls8c_ard_3-0-0_113072_2017-09-22_final
2017-10-08 11:37:55	ga_ls8c_ard_3-0-0_113072_2017-10-08_final
2017-10-15 11:47:43	ga_ls8c_ard_3-0-0_114081_2017-10-15_final
2017-10-24 11:37:57	ga_ls8c_ard_3-0-0_113072_2017-10-24_final
2017-10-31 11:47:43	ga_ls8c_ard_3-0-0_114081_2017-10-31_final
2017-11-16 11:47:40	ga_ls8c_ard_3-0-0_114081_2017-11-16_final
2017-11-25 11:37:50	ga_ls8c_ard_3-0-0_113072_2017-11-25_final
2017-12-27 11:37:50	ga_ls8c_ard_3-0-0_113072_2017-12-27_final
2018-01-28 11:37:34	ga_ls8c_ard_3-0-0_113072_2018-01-28_final
2018-02-20 11:47:12	ga_ls8c_ard_3-0-0_114081_2018-02-20_final
2018-03-08 11:47:03	ga_ls8c_ard_3-0-0_114081_2018-03-08_final
2018-03-17 11:37:12	ga_ls8c_ard_3-0-0_113072_2018-03-17_final
2018-04-02 11:37:05	ga_ls8c_ard_3-0-0_113072_2018-04-02_final
2018-04-09 11:46:48	ga_ls8c_ard_3-0-0_114081_2018-04-09_final
2018-04-18 11:36:56	ga_ls8c_ard_3-0-0_113072_2018-04-18_final
2018-05-04 11:36:47	ga_ls8c_ard_3-0-0_113072_2018-05-04_final
2018-05-20 11:36:36	ga_ls8c_ard_3-0-0_113072_2018-05-20_final
2018-06-21 11:36:36	ga_ls8c_ard_3-0-0_113072_2018-06-21_final
2018-06-28 11:46:27	ga_ls8c_ard_3-0-0_114081_2018-06-28_final
2018-07-07 11:36:45	ga_ls8c_ard_3-0-0_113072_2018-07-07_final
2018-08-08 11:37:01	ga_ls8c_ard_3-0-0_113072_2018-08-08_final
2018-08-24 11:37:09	ga_ls8c_ard_3-0-0_113072_2018-08-24_final
2018-08-31 11:46:58	ga_ls8c_ard_3-0-0_114081_2018-08-31_final
2018-09-16 11:47:03	ga_ls8c_ard_3-0-0_114081_2018-09-16_final
2018-09-25 11:37:20	ga_ls8c_ard_3-0-0_113072_2018-09-25_final
2018-10-02 11:47:10	ga_ls8c_ard_3-0-0_114081_2018-10-02_final
2018-10-11 11:37:28	ga_ls8c_ard_3-0-0_113072_2018-10-11_final
2018-10-27 11:37:33	ga_ls8c_ard_3-0-0_113072_2018-10-27_final
2018-11-12 11:37:35	ga_ls8c_ard_3-0-0_113072_2018-11-12_final
2018-11-19 11:47:21	ga_ls8c_ard_3-0-0_114081_2018-11-19_final
2018-12-05 11:47:19	ga_ls8c_ard_3-0-0_114081_2018-12-05_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