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

69 results

Time (local)	Label
2001-01-03 09:59:30	ga_ls7e_ard_3-0-0_099067_2001-01-03_final
2001-01-10 10:09:46	ga_ls7e_ard_3-0-0_100077_2001-01-10_final
2001-09-10 09:00:42	ga_ls7e_ard_3-0-0_089079_2001-09-09_final
2001-09-12 10:28:00	ga_ls7e_ard_3-0-0_103081_2001-09-12_final
2003-07-19 10:56:29	ga_ls7e_ard_3-1-0_108075_2003-07-19_final
2003-08-17 10:27:51	ga_ls7e_ard_3-0-0_103081_2003-08-17_final
2003-11-20 09:40:50	ga_ls7e_ard_3-0-0_096071_2003-11-20_final
2004-03-22 11:03:00	ga_ls7e_ard_3-0-0_109074_2004-03-22_final
2004-07-10 11:15:04	ga_ls7e_ard_3-0-0_111074_2004-07-10_final
2004-12-06 09:52:54	ga_ls7e_ard_3-0-0_098069_2004-12-06_final
2004-12-30 09:10:26	ga_ls7e_ard_3-0-0_090086_2004-12-29_final
2005-02-22 10:08:57	ga_ls7e_ard_3-0-0_100077_2005-02-22_final
2005-11-15 09:11:22	ga_ls7e_ard_3-0-0_090088_2005-11-14_final
2006-02-19 10:44:04	ga_ls7e_ard_3-0-0_106071_2006-02-19_final
2006-07-13 10:42:36	ga_ls7e_ard_3-0-0_106068_2006-07-13_final
2006-09-14 10:03:04	ga_ls7e_ard_3-0-0_099078_2006-09-14_final
2007-02-15 09:03:20	ga_ls7e_ard_3-1-0_089081_2007-02-14_final
2007-12-20 10:15:00	ga_ls7e_ard_3-1-0_101075_2007-12-20_final
2008-04-05 09:58:17	ga_ls7e_ard_3-0-0_098080_2008-04-05_final
2008-04-28 10:03:36	ga_ls7e_ard_3-0-0_099078_2008-04-28_final
2008-09-09 11:03:05	ga_ls7e_ard_3-0-0_109075_2008-09-09_final
2009-03-17 10:36:11	ga_ls7e_ard_3-0-0_104082_2009-03-17_final
2009-03-24 09:02:20	ga_ls7e_ard_3-0-0_089079_2009-03-23_final
2009-07-05 09:13:03	ga_ls7e_ard_3-0-0_090090_2009-07-04_final
2009-09-07 10:42:57	ga_ls7e_ard_3-0-0_106068_2009-09-07_final
2009-10-15 10:09:26	ga_ls7e_ard_3-0-0_100077_2009-10-15_final
2010-03-22 10:25:25	ga_ls7e_ard_3-0-0_102081_2010-03-22_final
2010-09-10 09:09:47	ga_ls7e_ard_3-0-0_090077_2010-09-09_final
2011-02-23 10:12:47	ga_ls7e_ard_3-0-0_100077_2011-02-23_final
2011-04-13 09:20:29	ga_ls7e_ard_3-0-0_091085_2011-04-12_final
2011-07-10 10:03:03	ga_ls7e_ard_3-0-0_099068_2011-07-10_final
2011-07-22 10:32:56	ga_ls7e_ard_3-0-0_103081_2011-07-22_final
2011-09-28 11:45:38	ga_ls7e_ard_3-0-0_115078_2011-09-28_final
2013-03-17 10:55:53	ga_ls7e_ard_3-0-0_107070_2013-03-17_final
2013-04-20 10:45:21	ga_ls7e_ard_3-0-0_105075_2013-04-20_final
2013-07-23 09:23:00	ga_ls7e_ard_3-0-0_091087_2013-07-22_final
2013-09-11 10:42:13	ga_ls7e_ard_3-0-0_105068_2013-09-11_final
2013-11-12 09:25:03	ga_ls7e_ard_3-0-0_091090_2013-11-11_final
2014-04-06 10:00:20	ga_ls7e_ard_3-0-0_098068_2014-04-06_final
2014-06-29 11:17:23	ga_ls7e_ard_3-0-0_110074_2014-06-29_final
2014-08-25 09:36:51	ga_ls7e_ard_3-0-0_093085_2014-08-25_final
2014-09-03 11:05:59	ga_ls7e_ard_3-0-0_108076_2014-09-03_final
2014-09-16 10:37:06	ga_ls7e_ard_3-0-0_103081_2014-09-16_final
2014-12-19 10:47:08	ga_ls7e_ard_3-0-0_105073_2014-12-19_final
2015-04-30 10:22:23	ga_ls7e_ard_3-0-0_101071_2015-04-30_final
2015-10-06 11:19:55	ga_ls7e_ard_3-0-0_110074_2015-10-06_final
2016-05-17 11:22:18	ga_ls7e_ard_3-0-0_110074_2016-05-17_final
2016-08-05 11:25:43	ga_ls7e_ard_3-0-0_110082_2016-08-05_final
2017-11-06 10:22:43	ga_ls7e_ard_3-0-0_100079_2017-11-06_final
2017-12-14 09:47:23	ga_ls7e_ard_3-0-0_094084_2017-12-14_final
2017-12-22 10:31:09	ga_ls7e_ard_3-0-0_102070_2017-12-22_final
2018-01-10 09:30:31	ga_ls7e_ard_3-0-0_091089_2018-01-10_final
2018-06-20 10:08:57	ga_ls7e_ard_3-0-0_098083_2018-06-20_final
2019-05-01 09:38:06	ga_ls7e_ard_3-1-0_095073_2019-05-01_final
2019-07-17 09:10:41	ga_ls7e_ard_3-0-0_090089_2019-07-16_final
2019-07-29 11:07:02	ga_ls7e_ard_3-1-0_110072_2019-07-29_final
2019-09-10 09:14:11	ga_ls7e_ard_3-1-0_091088_2019-09-09_final
2019-10-24 11:09:55	ga_ls7e_ard_3-1-0_111073_2019-10-24_final
2020-01-15 09:59:53	ga_ls7e_ard_3-1-0_100078_2020-01-15_final
2020-01-21 10:59:48	ga_ls7e_ard_3-1-0_110074_2020-01-21_final
2020-04-22 11:20:44	ga_ls7e_ard_3-1-0_114077_2020-04-22_final
2020-05-03 10:59:56	ga_ls7e_ard_3-1-0_111073_2020-05-03_final
2020-05-23 09:00:42	ga_ls7e_ard_3-1-0_091087_2020-05-22_final
2020-11-04 10:46:33	ga_ls7e_ard_3-1-0_110084_2020-11-04_final
2021-07-30 10:48:37	ga_ls7e_ard_3-2-0_114080_2021-07-30_final
2021-10-05 09:35:08	ga_ls7e_ard_3-2-0_103081_2021-10-05_final
2021-11-17 09:11:25	ga_ls7e_ard_3-2-1_100078_2021-11-16_final
2022-02-03 09:17:26	ga_ls7e_ard_3-2-1_102081_2022-02-02_final
2022-02-14 08:53:22	ga_ls7e_ard_3-2-1_099070_2022-02-13_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