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

58 results

Time (local)	Label
1999-10-08 11:22:31	ga_ls7e_ard_3-0-0_112067_1999-10-08_final
2000-09-18 10:23:46	ga_ls7e_ard_3-0-0_102081_2000-09-18_final
2001-01-27 10:52:17	ga_ls7e_ard_3-0-0_107075_2001-01-27_final
2001-09-08 09:15:27	ga_ls7e_ard_3-0-0_091085_2001-09-07_final
2001-10-01 10:55:53	ga_ls7e_ard_3-0-0_108074_2001-10-01_final
2002-02-06 10:56:24	ga_ls7e_ard_3-0-0_108074_2002-02-06_final
2002-06-30 10:55:59	ga_ls7e_ard_3-0-0_108074_2002-06-30_final
2002-10-16 11:17:12	ga_ls7e_ard_3-0-0_112067_2002-10-16_final
2003-01-03 10:38:08	ga_ls7e_ard_3-0-0_105076_2003-01-03_final
2003-09-29 10:07:53	ga_ls7e_ard_3-0-0_100078_2003-09-29_final
2003-10-07 10:55:41	ga_ls7e_ard_3-0-0_108074_2003-10-07_final
2003-10-28 09:32:48	ga_ls7e_ard_3-0-0_095067_2003-10-28_final
2004-01-23 11:18:30	ga_ls7e_ard_3-0-0_112067_2004-01-23_final
2005-05-16 10:39:01	ga_ls7e_ard_3-0-0_105075_2005-05-16_final
2005-11-22 10:50:54	ga_ls7e_ard_3-0-0_107074_2005-11-22_final
2005-11-27 11:08:40	ga_ls7e_ard_3-1-0_110072_2005-11-27_final
2006-01-31 10:15:28	ga_ls7e_ard_3-0-0_101077_2006-01-31_final
2006-08-08 11:19:09	ga_ls7e_ard_3-0-0_112067_2006-08-08_final
2007-03-25 10:00:28	ga_ls7e_ard_3-0-0_099069_2007-03-25_final
2007-06-07 10:40:04	ga_ls7e_ard_3-0-0_105076_2007-06-07_final
2007-08-25 09:57:42	ga_ls7e_ard_3-0-0_098079_2007-08-25_final
2007-12-27 10:23:36	ga_ls7e_ard_3-0-0_102081_2007-12-27_final
2008-01-09 11:28:48	ga_ls7e_ard_3-0-0_113074_2008-01-09_final
2008-06-27 10:29:03	ga_ls7e_ard_3-0-0_103081_2008-06-27_final
2009-04-15 10:00:40	ga_ls7e_ard_3-0-0_099070_2009-04-15_final
2009-10-12 09:34:29	ga_ls7e_ard_3-0-0_095067_2009-10-12_final
2009-10-19 11:19:41	ga_ls7e_ard_3-0-0_112067_2009-10-19_final
2009-12-06 11:20:19	ga_ls7e_ard_3-0-0_112067_2009-12-06_final
2010-04-02 10:02:08	ga_ls7e_ard_3-0-0_099069_2010-04-02_final
2010-06-18 11:10:27	ga_ls7e_ard_3-0-0_110070_2010-06-18_final
2010-11-04 09:19:02	ga_ls7e_ard_3-0-0_091084_2010-11-03_final
2011-02-04 09:43:48	ga_ls7e_ard_3-0-0_095082_2011-02-04_final
2011-06-09 09:14:41	ga_ls7e_ard_3-0-0_090086_2011-06-08_final
2012-03-22 10:04:51	ga_ls7e_ard_3-0-0_099071_2012-03-22_final
2012-10-11 11:25:08	ga_ls7e_ard_3-0-0_112067_2012-10-11_final
2013-02-15 10:46:00	ga_ls7e_ard_3-0-0_105076_2013-02-15_final
2013-07-15 10:09:18	ga_ls7e_ard_3-0-0_099079_2013-07-15_final
2013-07-31 10:09:10	ga_ls7e_ard_3-0-0_099079_2013-07-31_final
2013-09-28 11:25:14	ga_ls7e_ard_3-0-0_112067_2013-09-28_final
2014-01-02 11:25:55	ga_ls7e_ard_3-0-0_112067_2014-01-02_final
2014-08-30 11:27:06	ga_ls7e_ard_3-0-0_112067_2014-08-30_final
2015-09-18 11:29:25	ga_ls7e_ard_3-0-0_112067_2015-09-18_final
2016-01-08 11:31:00	ga_ls7e_ard_3-0-0_112067_2016-01-08_final
2016-01-19 09:33:44	ga_ls7e_ard_3-0-0_093067_2016-01-19_final
2016-03-01 10:15:04	ga_ls7e_ard_3-0-0_099077_2016-03-01_final
2016-04-23 10:35:35	ga_ls7e_ard_3-0-0_102081_2016-04-23_final
2016-10-06 11:32:14	ga_ls7e_ard_3-0-0_112067_2016-10-06_final
2017-04-05 10:12:59	ga_ls7e_ard_3-0-0_099071_2017-04-05_final
2017-06-13 10:30:41	ga_ls7e_ard_3-0-0_102068_2017-06-13_final
2017-08-22 11:32:05	ga_ls7e_ard_3-0-0_112067_2017-08-22_final
2018-01-19 10:55:54	ga_ls7e_ard_3-0-0_106071_2018-01-19_final
2018-10-28 11:26:24	ga_ls7e_ard_3-0-0_112067_2018-10-28_final
2018-11-15 09:42:19	ga_ls7e_ard_3-0-0_094086_2018-11-15_final
2018-12-20 10:05:55	ga_ls7e_ard_3-0-0_099070_2018-12-20_final
2019-12-22 10:49:22	ga_ls7e_ard_3-1-0_108075_2019-12-22_final
2020-06-10 08:46:29	ga_ls7e_ard_3-1-0_089085_2020-06-09_final
2020-08-13 10:17:52	ga_ls7e_ard_3-1-0_105076_2020-08-13_final
2021-07-22 09:57:53	ga_ls7e_ard_3-2-0_106075_2021-07-22_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