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

70 results

Time (local)	Label
2000-01-21 09:39:59	ga_ls7e_ard_3-0-0_095074_2000-01-21_final
2000-07-12 10:47:52	ga_ls7e_ard_3-0-0_106077_2000-07-12_final
2000-08-28 10:01:16	ga_ls7e_ard_3-0-0_099070_2000-08-28_final
2000-10-20 10:21:28	ga_ls7e_ard_3-0-0_102076_2000-10-20_final
2001-03-05 11:09:27	ga_ls7e_ard_3-1-0_110072_2001-03-05_final
2001-06-05 09:57:00	ga_ls7e_ard_3-0-0_098078_2001-06-05_final
2001-07-15 10:42:08	ga_ls7e_ard_3-0-0_106068_2001-07-15_final
2002-10-21 11:40:11	ga_ls7e_ard_3-0-0_115078_2002-10-21_final
2003-10-20 10:24:07	ga_ls7e_ard_3-0-0_103072_2003-10-20_final
2004-02-08 09:46:29	ga_ls7e_ard_3-0-0_096084_2004-02-08_final
2004-03-17 10:47:38	ga_ls7e_ard_3-0-0_106082_2004-03-17_final
2004-05-28 11:36:34	ga_ls7e_ard_3-0-0_114081_2004-05-28_final
2004-06-03 10:59:27	ga_ls7e_ard_3-0-0_108081_2004-06-03_final
2004-08-06 09:22:15	ga_ls7e_ard_3-0-0_092086_2004-08-05_final
2004-09-09 10:41:52	ga_ls7e_ard_3-0-0_106069_2004-09-09_final
2004-10-11 10:42:07	ga_ls7e_ard_3-0-0_106070_2004-10-11_final
2005-01-24 09:01:06	ga_ls7e_ard_3-0-0_089078_2005-01-23_final
2005-04-09 10:17:41	ga_ls7e_ard_3-0-0_102068_2005-04-09_final
2005-05-07 09:11:54	ga_ls7e_ard_3-0-0_090089_2005-05-06_final
2005-08-04 10:36:24	ga_ls7e_ard_3-0-0_105069_2005-08-04_final
2005-08-19 09:52:15	ga_ls7e_ard_3-0-0_098067_2005-08-19_final
2006-01-12 11:22:07	ga_ls7e_ard_3-0-0_112074_2006-01-12_final
2006-03-09 10:36:07	ga_ls7e_ard_3-0-0_104082_2006-03-09_final
2006-05-09 10:03:35	ga_ls7e_ard_3-0-0_099078_2006-05-09_final
2006-08-19 11:03:23	ga_ls7e_ard_3-0-0_109074_2006-08-19_final
2006-11-20 10:30:25	ga_ls7e_ard_3-0-0_104068_2006-11-20_final
2007-02-12 10:10:06	ga_ls7e_ard_3-0-0_100078_2007-02-12_final
2007-06-27 10:14:08	ga_ls7e_ard_3-0-0_101073_2007-06-27_final
2007-08-16 11:42:26	ga_ls7e_ard_3-0-0_115078_2007-08-16_final
2007-09-11 09:03:32	ga_ls7e_ard_3-0-0_089083_2007-09-10_final
2007-10-20 10:48:13	ga_ls7e_ard_3-0-0_106082_2007-10-20_final
2008-03-21 09:03:27	ga_ls7e_ard_3-0-0_089082_2008-03-20_final
2008-05-06 09:15:19	ga_ls7e_ard_3-0-0_091081_2008-05-05_final
2008-06-01 09:51:26	ga_ls7e_ard_3-0-0_097079_2008-06-01_final
2008-08-22 11:14:00	ga_ls7e_ard_3-0-0_111071_2008-08-22_final
2008-12-11 10:29:53	ga_ls7e_ard_3-0-0_104068_2008-12-11_final
2009-05-25 09:16:31	ga_ls7e_ard_3-0-0_091083_2009-05-24_final
2010-05-21 10:47:41	ga_ls7e_ard_3-1-0_106075_2010-05-21_final
2010-06-21 10:07:40	ga_ls7e_ard_3-0-0_099083_2010-06-21_final
2010-07-23 10:06:32	ga_ls7e_ard_3-0-0_099080_2010-07-23_final
2010-10-31 09:38:55	ga_ls7e_ard_3-0-0_095072_2010-10-31_final
2011-03-28 10:53:21	ga_ls7e_ard_3-0-0_107070_2011-03-28_final
2011-05-16 09:56:55	ga_ls7e_ard_3-0-0_098068_2011-05-16_final
2011-08-10 09:24:52	ga_ls7e_ard_3-0-0_092081_2011-08-09_final
2012-01-31 09:34:40	ga_ls7e_ard_3-0-0_094073_2012-01-31_final
2012-11-20 10:42:00	ga_ls7e_ard_3-0-0_104082_2012-11-20_final
2013-07-20 10:24:13	ga_ls7e_ard_3-0-0_102070_2013-07-20_final
2014-10-25 09:05:14	ga_ls7e_ard_3-0-0_088082_2014-10-24_final
2015-02-18 10:16:26	ga_ls7e_ard_3-0-0_100073_2015-02-18_final
2015-02-21 09:13:17	ga_ls7e_ard_3-0-0_089085_2015-02-20_final
2015-07-02 11:20:21	ga_ls7e_ard_3-0-0_110076_2015-07-02_final
2015-08-13 10:21:56	ga_ls7e_ard_3-0-0_100084_2015-08-13_final
2015-09-01 10:49:14	ga_ls7e_ard_3-0-0_105075_2015-09-01_final
2015-10-22 11:23:49	ga_ls7e_ard_3-0-0_110083_2015-10-22_final
2016-04-28 09:14:28	ga_ls7e_ard_3-0-0_089079_2016-04-27_final
2016-07-20 09:47:36	ga_ls7e_ard_3-0-0_094084_2016-07-20_final
2017-07-11 09:23:45	ga_ls7e_ard_3-0-0_090086_2017-07-10_final
2017-08-13 11:41:03	ga_ls7e_ard_3-0-0_113074_2017-08-13_final
2017-09-29 10:58:11	ga_ls7e_ard_3-1-0_106075_2017-09-29_final
2018-01-08 11:15:24	ga_ls7e_ard_3-0-0_109073_2018-01-08_final
2018-02-20 10:57:03	ga_ls7e_ard_3-1-0_106075_2018-02-20_final
2019-01-09 09:41:47	ga_ls7e_ard_3-1-0_095073_2019-01-09_final
2019-04-21 09:03:23	ga_ls7e_ard_3-0-0_089078_2019-04-20_final
2019-05-10 09:37:09	ga_ls7e_ard_3-0-0_094087_2019-05-10_final
2020-02-04 11:11:51	ga_ls7e_ard_3-1-0_112075_2020-02-04_final
2020-08-19 11:20:05	ga_ls7e_ard_3-1-0_115078_2020-08-19_final
2020-10-23 08:44:09	ga_ls7e_ard_3-1-0_090085_2020-10-22_final
2021-02-02 09:35:54	ga_ls7e_ard_3-2-0_100078_2021-02-02_final
2021-05-15 10:31:06	ga_ls7e_ard_3-2-0_110082_2021-05-15_final
2021-09-11 10:22:43	ga_ls7e_ard_3-2-0_111071_2021-09-11_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