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

87 results

Time (local)	Label
1999-08-09 11:00:27	ga_ls7e_ard_3-0-0_108074_1999-08-09_final
2000-04-10 11:15:40	ga_ls7e_ard_3-0-0_111067_2000-04-10_final
2000-04-16 10:39:42	ga_ls7e_ard_3-0-0_105070_2000-04-16_final
2001-07-21 10:09:24	ga_ls7e_ard_3-0-0_100079_2001-07-21_final
2001-10-18 11:39:53	ga_ls7e_ard_3-0-0_115076_2001-10-18_final
2002-02-20 09:33:01	ga_ls7e_ard_3-0-0_094082_2002-02-20_final
2002-07-17 09:59:28	ga_ls7e_ard_3-0-0_099072_2002-07-17_final
2002-07-17 10:02:15	ga_ls7e_ard_3-0-0_099079_2002-07-17_final
2002-10-07 11:23:21	ga_ls7e_ard_3-0-0_113067_2002-10-07_final
2002-10-17 10:27:10	ga_ls7e_ard_3-0-0_103081_2002-10-17_final
2002-10-22 09:05:41	ga_ls7e_ard_3-0-0_090078_2002-10-21_final
2002-12-24 09:58:39	ga_ls7e_ard_3-0-0_099070_2002-12-24_final
2003-02-26 10:01:22	ga_ls7e_ard_3-0-0_099076_2003-02-26_final
2003-05-03 11:30:24	ga_ls7e_ard_3-0-0_113082_2003-05-03_final
2003-07-31 09:39:02	ga_ls7e_ard_3-0-0_096067_2003-07-31_final
2003-08-22 10:41:59	ga_ls7e_ard_3-0-0_106070_2003-08-22_final
2003-08-30 09:51:18	ga_ls7e_ard_3-0-0_098067_2003-08-30_final
2003-11-20 09:43:13	ga_ls7e_ard_3-0-0_096077_2003-11-20_final
2003-12-30 10:32:55	ga_ls7e_ard_3-0-0_104077_2003-12-30_final
2004-04-02 10:46:03	ga_ls7e_ard_3-0-0_106078_2004-04-02_final
2004-05-18 09:20:38	ga_ls7e_ard_3-0-0_092081_2004-05-17_final
2004-11-11 11:41:44	ga_ls7e_ard_3-0-0_115079_2004-11-11_final
2005-02-07 09:14:48	ga_ls7e_ard_3-0-0_091081_2005-02-06_final
2005-02-24 09:57:24	ga_ls7e_ard_3-0-0_098079_2005-02-24_final
2005-04-02 10:17:32	ga_ls7e_ard_3-0-0_101083_2005-04-02_final
2005-06-18 11:21:42	ga_ls7e_ard_3-0-0_112074_2005-06-18_final
2005-08-26 10:03:10	ga_ls7e_ard_3-0-0_099079_2005-08-26_final
2005-11-02 11:14:39	ga_ls7e_ard_3-0-0_111072_2005-11-02_final
2005-11-15 10:44:40	ga_ls7e_ard_3-0-0_106074_2005-11-15_final
2005-11-25 11:25:01	ga_ls7e_ard_3-0-0_112082_2005-11-25_final
2006-03-17 09:48:16	ga_ls7e_ard_3-1-0_096086_2006-03-17_final
2006-04-23 11:41:37	ga_ls7e_ard_3-0-0_115076_2006-04-23_final
2006-06-10 10:00:45	ga_ls7e_ard_3-0-0_099071_2006-06-10_final
2006-06-26 10:02:39	ga_ls7e_ard_3-0-0_099076_2006-06-26_final
2006-06-26 10:03:27	ga_ls7e_ard_3-0-0_099078_2006-06-26_final
2006-07-05 11:31:42	ga_ls7e_ard_3-0-0_114067_2006-07-05_final
2006-09-29 09:18:30	ga_ls7e_ard_3-0-0_092075_2006-09-28_final
2007-07-08 09:57:34	ga_ls7e_ard_3-0-0_098078_2007-07-08_final
2007-07-27 10:29:35	ga_ls7e_ard_3-0-0_103081_2007-07-27_final
2007-11-29 09:59:57	ga_ls7e_ard_3-0-0_098084_2007-11-29_final
2008-05-30 10:03:24	ga_ls7e_ard_3-0-0_099078_2008-05-30_final
2008-05-30 11:40:41	ga_ls7e_ard_3-0-0_115074_2008-05-30_final
2008-09-07 09:35:47	ga_ls7e_ard_3-1-0_095073_2008-09-07_final
2008-09-29 10:38:34	ga_ls7e_ard_3-0-0_105076_2008-09-29_final
2008-11-02 10:28:24	ga_ls7e_ard_3-0-0_103081_2008-11-02_final
2009-03-14 11:41:45	ga_ls7e_ard_3-0-0_115076_2009-03-14_final
2009-05-18 09:08:20	ga_ls7e_ard_3-0-0_090078_2009-05-17_final
2010-01-28 10:05:13	ga_ls7e_ard_3-0-0_099078_2010-01-28_final
2010-04-27 11:38:01	ga_ls7e_ard_3-0-0_114077_2010-04-27_final
2011-03-30 09:09:42	ga_ls7e_ard_3-1-0_089089_2011-03-29_final
2011-06-06 10:19:29	ga_ls7e_ard_3-0-0_101078_2011-06-06_final
2011-06-29 10:21:59	ga_ls7e_ard_3-0-0_102069_2011-06-29_final
2011-10-09 09:51:23	ga_ls7e_ard_3-1-0_096086_2011-10-09_final
2012-10-23 10:13:07	ga_ls7e_ard_3-0-0_100072_2012-10-23_final
2014-01-17 10:43:13	ga_ls7e_ard_3-0-0_105068_2014-01-17_final
2014-01-24 10:53:56	ga_ls7e_ard_3-0-0_106079_2014-01-24_final
2014-03-25 11:16:49	ga_ls7e_ard_3-0-0_110074_2014-03-25_final
2014-05-20 10:26:13	ga_ls7e_ard_3-0-0_102070_2014-05-20_final
2014-08-23 11:26:30	ga_ls7e_ard_3-0-0_111081_2014-08-23_final
2014-11-18 09:48:49	ga_ls7e_ard_3-0-0_096067_2014-11-18_final
2015-03-16 10:53:21	ga_ls7e_ard_3-0-0_106072_2015-03-16_final
2015-06-15 10:39:03	ga_ls7e_ard_3-0-0_103081_2015-06-15_final
2015-10-19 09:14:23	ga_ls7e_ard_3-0-0_089084_2015-10-18_final
2016-01-24 09:52:19	ga_ls7e_ard_3-0-0_096067_2016-01-24_final
2016-03-17 11:54:07	ga_ls7e_ard_3-1-0_115077_2016-03-17_final
2016-04-27 10:06:54	ga_ls7e_ard_3-0-0_098071_2016-04-27_final
2016-05-18 10:28:17	ga_ls7e_ard_3-0-0_101078_2016-05-18_final
2017-01-04 10:31:08	ga_ls7e_ard_3-0-0_102070_2017-01-04_final
2017-01-31 11:54:24	ga_ls7e_ard_3-0-0_115078_2017-01-31_final
2017-02-01 10:54:47	ga_ls7e_ard_3-0-0_106068_2017-02-01_final
2017-02-10 09:16:48	ga_ls7e_ard_3-0-0_089086_2017-02-09_final
2017-09-27 11:08:32	ga_ls7e_ard_3-0-0_108070_2017-09-27_final
2018-01-03 09:22:50	ga_ls7e_ard_3-0-0_090085_2018-01-02_final
2018-08-25 09:50:10	ga_ls7e_ard_3-0-0_096070_2018-08-25_final
2019-02-11 10:27:13	ga_ls7e_ard_3-0-0_102081_2019-02-11_final
2019-04-12 10:45:59	ga_ls7e_ard_3-0-0_106071_2019-04-12_final
2019-07-15 09:21:56	ga_ls7e_ard_3-0-0_092086_2019-07-14_final
2019-12-07 09:55:18	ga_ls7e_ard_3-1-0_099077_2019-12-07_final
2019-12-28 10:09:58	ga_ls7e_ard_3-1-0_102070_2019-12-28_final
2020-02-02 09:48:38	ga_ls7e_ard_3-1-0_098083_2020-02-02_final
2020-03-10 10:00:26	ga_ls7e_ard_3-1-0_101071_2020-03-10_final
2020-06-25 09:34:26	ga_ls7e_ard_3-1-0_098068_2020-06-25_final
2020-08-19 11:20:05	ga_ls7e_ard_3-1-0_115078_2020-08-19_final
2020-09-05 10:19:22	ga_ls7e_ard_3-1-0_106068_2020-09-05_final
2021-01-07 10:38:22	ga_ls7e_ard_3-1-0_110075_2021-01-07_final
2021-03-20 09:42:20	ga_ls7e_ard_3-2-0_102072_2021-03-20_final
2021-11-10 09:03:08	ga_ls7e_ard_3-2-0_099071_2021-11-09_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years