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

59 results

Time (local)	Label
2000-07-10 09:25:22	ga_ls7e_ard_3-0-0_092087_2000-07-09_final
2001-01-07 09:34:51	ga_ls7e_ard_3-0-0_095067_2001-01-07_final
2001-08-13 10:11:58	ga_ls7e_ard_3-0-0_101071_2001-08-13_final
2002-01-15 11:30:36	ga_ls7e_ard_3-0-0_114067_2002-01-15_final
2002-03-12 10:44:30	ga_ls7e_ard_3-1-0_106075_2002-03-12_final
2002-05-30 10:02:08	ga_ls7e_ard_3-0-0_099078_2002-05-30_final
2003-05-26 09:56:26	ga_ls7e_ard_3-0-0_098079_2003-05-26_final
2003-08-05 10:01:54	ga_ls7e_ard_3-0-0_099078_2003-08-05_final
2003-08-16 11:17:53	ga_ls7e_ard_3-0-0_112067_2003-08-16_final
2004-05-14 11:18:40	ga_ls7e_ard_3-0-0_112067_2004-05-14_final
2004-10-19 09:54:01	ga_ls7e_ard_3-0-0_098073_2004-10-19_final
2005-05-10 09:41:12	ga_ls7e_ard_3-0-0_095085_2005-05-10_final
2005-05-14 10:51:23	ga_ls7e_ard_3-0-0_107075_2005-05-14_final
2005-11-30 09:59:07	ga_ls7e_ard_3-0-0_099068_2005-11-30_final
2006-05-15 11:04:12	ga_ls7e_ard_3-0-0_109075_2006-05-15_final
2007-10-16 11:09:42	ga_ls7e_ard_3-0-0_110074_2007-10-16_final
2008-02-05 11:12:37	ga_ls7e_ard_3-0-0_110080_2008-02-05_final
2008-03-27 10:00:04	ga_ls7e_ard_3-0-0_099069_2008-03-27_final
2008-05-21 10:09:15	ga_ls7e_ard_3-0-0_100077_2008-05-21_final
2008-06-17 09:52:04	ga_ls7e_ard_3-0-0_097081_2008-06-17_final
2008-09-07 11:15:04	ga_ls7e_ard_3-0-0_111074_2008-09-07_final
2008-12-22 10:17:02	ga_ls7e_ard_3-0-0_101082_2008-12-22_final
2009-03-10 10:29:57	ga_ls7e_ard_3-0-0_103082_2009-03-10_final
2009-03-24 10:39:37	ga_ls7e_ard_3-0-0_105075_2009-03-24_final
2009-04-03 11:15:10	ga_ls7e_ard_3-0-0_111071_2009-04-03_final
2009-04-17 09:48:43	ga_ls7e_ard_3-0-0_097071_2009-04-17_final
2009-09-27 10:18:36	ga_ls7e_ard_3-0-0_102069_2009-09-27_final
2010-01-08 10:26:27	ga_ls7e_ard_3-0-0_103070_2010-01-08_final
2010-02-11 10:19:20	ga_ls7e_ard_3-0-0_101082_2010-02-11_final
2010-08-01 11:34:03	ga_ls7e_ard_3-0-0_114067_2010-08-01_final
2011-01-12 11:11:35	ga_ls7e_ard_3-0-0_110070_2011-01-12_final
2011-01-31 10:02:55	ga_ls7e_ard_3-0-0_099068_2011-01-31_final
2011-03-31 09:45:23	ga_ls7e_ard_3-0-0_096070_2011-03-31_final
2011-07-18 09:18:23	ga_ls7e_ard_3-0-0_091080_2011-07-17_final
2012-06-25 09:28:20	ga_ls7e_ard_3-0-0_092087_2012-06-24_final
2012-07-14 11:36:24	ga_ls7e_ard_3-0-0_113082_2012-07-14_final
2012-09-19 10:28:43	ga_ls7e_ard_3-0-0_102081_2012-09-19_final
2013-01-12 10:55:55	ga_ls7e_ard_3-0-0_107070_2013-01-12_final
2013-01-25 10:29:27	ga_ls7e_ard_3-0-0_102081_2013-01-25_final
2013-05-09 11:18:58	ga_ls7e_ard_3-0-0_110082_2013-05-09_final
2014-05-08 10:00:59	ga_ls7e_ard_3-0-0_098069_2014-05-08_final
2014-06-07 10:14:43	ga_ls7e_ard_3-0-0_100072_2014-06-07_final
2014-12-13 11:24:08	ga_ls7e_ard_3-0-0_111073_2014-12-13_final
2015-04-01 09:20:57	ga_ls7e_ard_3-0-0_090088_2015-03-31_final
2016-04-17 11:10:13	ga_ls7e_ard_3-1-0_108075_2016-04-17_final
2016-05-20 10:12:21	ga_ls7e_ard_3-0-0_099069_2016-05-20_final
2017-06-25 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-06-24_final
2017-10-18 09:47:03	ga_ls7e_ard_3-0-0_095067_2017-10-18_final
2018-01-03 09:23:14	ga_ls7e_ard_3-0-0_090086_2018-01-02_final
2018-11-26 09:24:42	ga_ls7e_ard_3-0-0_091089_2018-11-25_final
2018-12-15 09:53:54	ga_ls7e_ard_3-1-0_096086_2018-12-15_final
2019-04-05 09:03:57	ga_ls7e_ard_3-0-0_089078_2019-04-04_final
2020-03-02 10:51:30	ga_ls7e_ard_3-1-0_109074_2020-03-02_final
2020-12-26 08:39:12	ga_ls7e_ard_3-1-0_090084_2020-12-25_final
2021-01-16 10:30:22	ga_ls7e_ard_3-1-0_109072_2021-01-16_final
2021-04-05 09:44:37	ga_ls7e_ard_3-2-0_102081_2021-04-05_final
2021-08-06 09:11:42	ga_ls7e_ard_3-2-0_099071_2021-08-05_final
2021-09-15 09:57:38	ga_ls7e_ard_3-2-0_107071_2021-09-15_final
2021-12-27 09:55:49	ga_ls7e_ard_3-2-1_108075_2021-12-27_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