Search ga_ls7e_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
2005-06-07 11:40:43	ga_ls7e_ard_3-0-0_115075_2005-06-07_final
2005-07-25 11:40:37	ga_ls7e_ard_3-0-0_115075_2005-07-25_final
2005-08-10 11:40:34	ga_ls7e_ard_3-0-0_115075_2005-08-10_final
2006-01-17 11:41:06	ga_ls7e_ard_3-0-0_115075_2006-01-17_final
2006-03-22 11:41:18	ga_ls7e_ard_3-0-0_115075_2006-03-22_final
2006-06-10 11:41:14	ga_ls7e_ard_3-0-0_115075_2006-06-10_final
2006-12-19 11:41:23	ga_ls7e_ard_3-0-0_115075_2006-12-19_final
2007-06-13 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-06-13_final
2007-07-15 11:41:24	ga_ls7e_ard_3-0-0_115075_2007-07-15_final
2007-07-31 11:41:20	ga_ls7e_ard_3-0-0_115075_2007-07-31_final
2007-08-16 11:41:14	ga_ls7e_ard_3-0-0_115075_2007-08-16_final
2007-09-01 11:41:07	ga_ls7e_ard_3-0-0_115075_2007-09-01_final
2007-09-17 11:41:01	ga_ls7e_ard_3-0-0_115075_2007-09-17_final
2007-10-19 11:41:02	ga_ls7e_ard_3-0-0_115075_2007-10-19_final
2008-04-12 11:41:20	ga_ls7e_ard_3-0-0_115075_2008-04-12_final
2008-06-15 11:40:57	ga_ls7e_ard_3-0-0_115075_2008-06-15_final
2008-07-01 11:40:46	ga_ls7e_ard_3-0-0_115075_2008-07-01_final
2008-07-17 11:40:35	ga_ls7e_ard_3-0-0_115075_2008-07-17_final
2008-10-21 11:39:59	ga_ls7e_ard_3-0-0_115075_2008-10-21_final
2008-11-06 11:40:14	ga_ls7e_ard_3-0-0_115075_2008-11-06_final
2009-01-09 11:40:52	ga_ls7e_ard_3-0-0_115075_2009-01-09_final
2009-02-10 11:41:04	ga_ls7e_ard_3-0-0_115075_2009-02-10_final
2009-03-30 11:41:28	ga_ls7e_ard_3-0-0_115075_2009-03-30_final
2009-06-02 11:41:39	ga_ls7e_ard_3-0-0_115075_2009-06-02_final
2009-07-20 11:41:30	ga_ls7e_ard_3-0-0_115075_2009-07-20_final
2010-04-18 11:43:25	ga_ls7e_ard_3-0-0_115075_2010-04-18_final
2010-05-04 11:43:23	ga_ls7e_ard_3-0-0_115075_2010-05-04_final
2010-06-21 11:43:22	ga_ls7e_ard_3-0-0_115075_2010-06-21_final
2011-10-30 11:44:34	ga_ls7e_ard_3-0-0_115075_2011-10-30_final
2012-01-02 11:45:13	ga_ls7e_ard_3-0-0_115075_2012-01-02_final
2012-12-03 11:47:11	ga_ls7e_ard_3-0-0_115075_2012-12-03_final
2013-03-25 11:47:15	ga_ls7e_ard_3-0-0_115075_2013-03-25_final
2013-04-10 11:47:14	ga_ls7e_ard_3-0-0_115075_2013-04-10_final
2013-07-31 11:46:27	ga_ls7e_ard_3-0-0_115075_2013-07-31_final
2013-12-06 11:47:33	ga_ls7e_ard_3-0-0_115075_2013-12-06_final
2014-02-08 11:48:05	ga_ls7e_ard_3-0-0_115075_2014-02-08_final
2014-03-05 11:44:12	ga_ls7e_ard_3-0-0_114081_2014-03-05_final
2014-03-12 11:48:01	ga_ls7e_ard_3-0-0_115075_2014-03-12_final
2014-06-25 11:44:53	ga_ls7e_ard_3-0-0_114081_2014-06-25_final
2014-07-02 11:48:43	ga_ls7e_ard_3-0-0_115075_2014-07-02_final
2014-07-11 11:44:57	ga_ls7e_ard_3-0-0_114081_2014-07-11_final
2014-07-18 11:48:44	ga_ls7e_ard_3-0-0_115075_2014-07-18_final
2014-09-04 11:48:51	ga_ls7e_ard_3-0-0_115075_2014-09-04_final
2014-09-20 11:48:55	ga_ls7e_ard_3-0-0_115075_2014-09-20_final
2014-10-06 11:49:08	ga_ls7e_ard_3-0-0_115075_2014-10-06_final
2015-01-19 11:45:58	ga_ls7e_ard_3-0-0_114081_2015-01-19_final
2015-01-26 11:49:49	ga_ls7e_ard_3-0-0_115075_2015-01-26_final
2015-03-15 11:50:10	ga_ls7e_ard_3-0-0_115075_2015-03-15_final
2015-03-24 11:46:28	ga_ls7e_ard_3-0-0_114081_2015-03-24_final
2015-05-11 11:46:49	ga_ls7e_ard_3-0-0_114081_2015-05-11_final
2015-05-27 11:46:53	ga_ls7e_ard_3-0-0_114081_2015-05-27_final
2015-06-03 11:50:45	ga_ls7e_ard_3-0-0_115075_2015-06-03_final
2015-06-28 11:47:03	ga_ls7e_ard_3-0-0_114081_2015-06-28_final
2015-07-05 11:50:53	ga_ls7e_ard_3-0-0_115075_2015-07-05_final
2015-09-23 11:51:10	ga_ls7e_ard_3-0-0_115075_2015-09-23_final
2015-10-09 11:51:17	ga_ls7e_ard_3-0-0_115075_2015-10-09_final
2015-11-26 11:52:04	ga_ls7e_ard_3-0-0_115075_2015-11-26_final
2015-12-12 11:52:20	ga_ls7e_ard_3-0-0_115075_2015-12-12_final
2016-03-10 11:49:28	ga_ls7e_ard_3-0-0_114081_2016-03-10_final
2016-03-17 11:53:19	ga_ls7e_ard_3-0-0_115075_2016-03-17_final
2016-04-02 11:53:22	ga_ls7e_ard_3-0-0_115075_2016-04-02_final
2016-06-05 11:53:43	ga_ls7e_ard_3-0-0_115075_2016-06-05_final
2016-06-30 11:49:59	ga_ls7e_ard_3-0-0_114081_2016-06-30_final
2016-08-24 11:53:52	ga_ls7e_ard_3-0-0_115075_2016-08-24_final
2016-09-25 11:53:57	ga_ls7e_ard_3-0-0_115075_2016-09-25_final
2016-11-12 11:53:46	ga_ls7e_ard_3-0-0_115075_2016-11-12_final
2016-11-28 11:53:43	ga_ls7e_ard_3-0-0_115075_2016-11-28_final
2017-01-15 11:53:21	ga_ls7e_ard_3-0-0_115075_2017-01-15_final
2017-01-31 11:53:13	ga_ls7e_ard_3-0-0_115075_2017-01-31_final
2017-03-04 11:53:18	ga_ls7e_ard_3-0-0_115075_2017-03-04_final
2017-05-07 11:53:40	ga_ls7e_ard_3-0-0_115075_2017-05-07_final
2017-07-26 11:53:51	ga_ls7e_ard_3-0-0_115075_2017-07-26_final
2017-08-11 11:53:49	ga_ls7e_ard_3-0-0_115075_2017-08-11_final
2017-09-05 11:50:02	ga_ls7e_ard_3-0-0_114081_2017-09-05_final
2017-09-12 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-09-12_final
2017-10-30 11:53:51	ga_ls7e_ard_3-0-0_115075_2017-10-30_final
2018-01-02 11:53:21	ga_ls7e_ard_3-0-0_115075_2018-01-02_final
2018-01-18 11:53:08	ga_ls7e_ard_3-0-0_115075_2018-01-18_final
2018-02-03 11:52:52	ga_ls7e_ard_3-0-0_115075_2018-02-03_final
2018-02-19 11:52:41	ga_ls7e_ard_3-0-0_115075_2018-02-19_final
2018-02-28 11:48:48	ga_ls7e_ard_3-0-0_114081_2018-02-28_final
2018-04-24 11:51:48	ga_ls7e_ard_3-0-0_115075_2018-04-24_final
2018-05-10 11:51:30	ga_ls7e_ard_3-0-0_115075_2018-05-10_final
2018-05-26 11:51:16	ga_ls7e_ard_3-0-0_115075_2018-05-26_final
2018-06-11 11:50:59	ga_ls7e_ard_3-0-0_115075_2018-06-11_final
2018-06-27 11:50:41	ga_ls7e_ard_3-0-0_115075_2018-06-27_final
2018-07-29 11:50:05	ga_ls7e_ard_3-0-0_115075_2018-07-29_final
2018-09-15 11:49:08	ga_ls7e_ard_3-0-0_115075_2018-09-15_final
2018-10-01 11:48:45	ga_ls7e_ard_3-0-0_115075_2018-10-01_final
2018-10-26 11:44:23	ga_ls7e_ard_3-0-0_114081_2018-10-26_final
2018-11-02 11:48:01	ga_ls7e_ard_3-0-0_115075_2018-11-02_final
2018-11-18 11:47:39	ga_ls7e_ard_3-0-0_115075_2018-11-18_final
2018-12-20 11:46:47	ga_ls7e_ard_3-0-0_115075_2018-12-20_final
2018-12-29 11:42:44	ga_ls7e_ard_3-0-0_114081_2018-12-29_final
2019-01-14 11:42:15	ga_ls7e_ard_3-0-0_114081_2019-01-14_final
2019-01-21 11:45:48	ga_ls7e_ard_3-0-0_115075_2019-01-21_final
2019-05-13 11:42:02	ga_ls7e_ard_3-0-0_115075_2019-05-13_final
2019-05-22 11:37:53	ga_ls7e_ard_3-0-0_114081_2019-05-22_final
2019-07-09 11:36:08	ga_ls7e_ard_3-0-0_114081_2019-07-09_final
2019-08-10 11:34:51	ga_ls7e_ard_3-0-0_114081_2019-08-10_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years