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

85 results

Time (local)	Label
1999-12-04 09:42:26	ga_ls7e_ard_3-0-0_095080_1999-12-04_final
2000-01-04 08:59:33	ga_ls7e_ard_3-0-0_088081_2000-01-03_final
2000-01-20 10:38:48	ga_ls7e_ard_3-0-0_104082_2000-01-20_final
2001-01-18 09:19:57	ga_ls7e_ard_3-0-0_092076_2001-01-17_final
2002-01-15 09:58:30	ga_ls7e_ard_3-0-0_098084_2002-01-15_final
2002-02-07 10:03:11	ga_ls7e_ard_3-0-0_099080_2002-02-07_final
2002-03-16 10:22:06	ga_ls7e_ard_3-0-0_102081_2002-03-16_final
2002-07-04 08:55:10	ga_ls7e_ard_3-0-0_088081_2002-07-03_final
2003-08-22 09:06:18	ga_ls7e_ard_3-0-0_090078_2003-08-21_final
2003-09-23 10:43:47	ga_ls7e_ard_3-1-0_106075_2003-09-23_final
2003-11-29 11:11:58	ga_ls7e_ard_3-0-0_111067_2003-11-29_final
2003-11-30 10:18:44	ga_ls7e_ard_3-0-0_102073_2003-11-30_final
2003-12-04 09:53:13	ga_ls7e_ard_3-0-0_098071_2003-12-04_final
2003-12-19 09:12:29	ga_ls7e_ard_3-0-0_091077_2003-12-18_final
2004-03-10 10:35:50	ga_ls7e_ard_3-0-0_105068_2004-03-10_final
2004-08-08 09:06:18	ga_ls7e_ard_3-0-0_090077_2004-08-07_final
2004-08-24 10:44:22	ga_ls7e_ard_3-1-0_106075_2004-08-24_final
2004-12-31 09:48:06	ga_ls7e_ard_3-0-0_097072_2004-12-31_final
2005-07-03 10:36:01	ga_ls7e_ard_3-0-0_105068_2005-07-03_final
2005-07-16 10:11:07	ga_ls7e_ard_3-0-0_100083_2005-07-16_final
2006-01-03 09:50:55	ga_ls7e_ard_3-0-0_097078_2006-01-03_final
2006-08-24 11:21:55	ga_ls7e_ard_3-0-0_112074_2006-08-24_final
2006-09-15 10:42:20	ga_ls7e_ard_3-0-0_106068_2006-09-15_final
2007-01-03 09:20:28	ga_ls7e_ard_3-0-0_092078_2007-01-02_final
2007-03-21 10:26:23	ga_ls7e_ard_3-0-0_103072_2007-03-21_final
2007-04-18 09:18:10	ga_ls7e_ard_3-0-0_091087_2007-04-17_final
2008-02-06 10:17:47	ga_ls7e_ard_3-0-0_101082_2008-02-06_final
2008-02-29 10:18:16	ga_ls7e_ard_3-0-0_102068_2008-02-29_final
2008-05-16 09:48:45	ga_ls7e_ard_3-0-0_097072_2008-05-16_final
2008-06-03 11:14:44	ga_ls7e_ard_3-0-0_111071_2008-06-03_final
2008-06-18 10:30:08	ga_ls7e_ard_3-0-0_104068_2008-06-18_final
2008-07-01 09:59:54	ga_ls7e_ard_3-0-0_099070_2008-07-01_final
2008-09-02 09:23:40	ga_ls7e_ard_3-0-0_092089_2008-09-01_final
2008-09-13 10:38:44	ga_ls7e_ard_3-0-0_105076_2008-09-13_final
2008-10-26 10:18:31	ga_ls7e_ard_3-0-0_102072_2008-10-26_final
2008-11-06 09:59:45	ga_ls7e_ard_3-0-0_099071_2008-11-06_final
2008-11-26 11:14:35	ga_ls7e_ard_3-0-0_111072_2008-11-26_final
2009-02-06 10:27:39	ga_ls7e_ard_3-0-0_103077_2009-02-06_final
2009-07-03 10:59:55	ga_ls7e_ard_3-0-0_108079_2009-07-03_final
2009-08-07 09:48:10	ga_ls7e_ard_3-0-0_097070_2009-08-07_final
2010-04-18 10:01:44	ga_ls7e_ard_3-0-0_099068_2010-04-18_final
2010-06-02 11:12:26	ga_ls7e_ard_3-0-0_110075_2010-06-02_final
2010-11-30 09:50:28	ga_ls7e_ard_3-0-0_097069_2010-11-30_final
2010-12-31 10:45:57	ga_ls7e_ard_3-0-0_106068_2010-12-31_final
2011-01-13 10:16:22	ga_ls7e_ard_3-0-0_101071_2011-01-13_final
2011-02-17 09:14:32	ga_ls7e_ard_3-0-0_090086_2011-02-16_final
2011-04-15 09:05:19	ga_ls7e_ard_3-0-0_089078_2011-04-14_final
2011-07-02 10:54:05	ga_ls7e_ard_3-0-0_107072_2011-07-02_final
2011-09-18 11:09:47	ga_ls7e_ard_3-1-0_109081_2011-09-18_final
2012-02-04 10:48:28	ga_ls7e_ard_3-0-0_106072_2012-02-04_final
2012-03-24 11:36:34	ga_ls7e_ard_3-0-0_113084_2012-03-24_final
2013-01-04 10:05:42	ga_ls7e_ard_3-0-0_099068_2013-01-04_final
2013-05-28 10:09:43	ga_ls7e_ard_3-0-0_099079_2013-05-28_final
2013-10-26 10:12:58	ga_ls7e_ard_3-0-0_100071_2013-10-26_final
2014-12-25 10:09:39	ga_ls7e_ard_3-0-0_099072_2014-12-25_final
2015-05-13 11:28:54	ga_ls7e_ard_3-0-0_112067_2015-05-13_final
2015-08-03 09:44:48	ga_ls7e_ard_3-0-0_094084_2015-08-03_final
2015-08-08 11:41:03	ga_ls7e_ard_3-0-0_113081_2015-08-08_final
2016-04-27 10:10:29	ga_ls7e_ard_3-1-0_098080_2016-04-27_final
2016-04-30 10:36:37	ga_ls7e_ard_3-0-0_103068_2016-04-30_final
2016-07-14 10:24:15	ga_ls7e_ard_3-0-0_100083_2016-07-14_final
2016-08-03 09:59:59	ga_ls7e_ard_3-0-0_096084_2016-08-03_final
2016-09-22 11:19:51	ga_ls7e_ard_3-0-0_110067_2016-09-22_final
2016-09-26 09:25:26	ga_ls7e_ard_3-0-0_090090_2016-09-25_final
2016-11-22 09:17:02	ga_ls7e_ard_3-0-0_089085_2016-11-21_final
2017-07-04 10:52:03	ga_ls7e_ard_3-0-0_105075_2017-07-04_final
2017-12-05 11:28:09	ga_ls7e_ard_3-0-0_111073_2017-12-05_final
2017-12-22 10:35:33	ga_ls7e_ard_3-0-0_102081_2017-12-22_final
2018-04-24 10:10:55	ga_ls7e_ard_3-0-0_099070_2018-04-24_final
2018-12-29 09:59:52	ga_ls7e_ard_3-0-0_098071_2018-12-29_final
2019-04-13 11:27:36	ga_ls7e_ard_3-0-0_113067_2019-04-13_final
2019-04-18 10:09:53	ga_ls7e_ard_3-0-0_100074_2019-04-18_final
2019-08-17 09:57:28	ga_ls7e_ard_3-0-0_099070_2019-08-17_final
2019-12-19 10:17:25	ga_ls7e_ard_3-1-0_103072_2019-12-19_final
2020-02-10 10:37:40	ga_ls7e_ard_3-1-0_106083_2020-02-10_final
2020-03-30 09:35:48	ga_ls7e_ard_3-1-0_097074_2020-03-30_final
2020-04-06 11:20:28	ga_ls7e_ard_3-1-0_114074_2020-04-06_final
2020-04-28 10:42:54	ga_ls7e_ard_3-1-0_108076_2020-04-28_final
2020-05-15 09:44:15	ga_ls7e_ard_3-1-0_099071_2020-05-15_final
2020-09-09 09:57:59	ga_ls7e_ard_3-1-0_102077_2020-09-09_final
2020-11-25 09:19:10	ga_ls7e_ard_3-1-0_097070_2020-11-24_final
2021-01-16 08:53:29	ga_ls7e_ard_3-1-0_093077_2021-01-15_final
2021-02-11 09:31:03	ga_ls7e_ard_3-2-0_099083_2021-02-11_final
2021-09-25 08:54:33	ga_ls7e_ard_3-2-0_097070_2021-09-24_final
2021-12-08 09:25:34	ga_ls7e_ard_3-2-1_103072_2021-12-07_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