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

54 results

Time (local)	Label
2001-03-08 10:03:27	ga_ls7e_ard_3-0-0_099077_2001-03-08_final
2002-04-19 10:10:28	ga_ls7e_ard_3-0-0_100083_2002-04-19_final
2002-06-30 10:56:23	ga_ls7e_ard_3-0-0_108075_2002-06-30_final
2002-09-17 10:15:39	ga_ls7e_ard_3-0-0_101083_2002-09-17_final
2003-05-16 10:56:39	ga_ls7e_ard_3-1-0_108075_2003-05-16_final
2003-08-06 10:45:57	ga_ls7e_ard_3-0-0_106080_2003-08-06_final
2003-08-22 10:43:59	ga_ls7e_ard_3-1-0_106075_2003-08-22_final
2004-09-07 09:20:33	ga_ls7e_ard_3-0-0_092082_2004-09-06_final
2004-11-13 09:52:29	ga_ls7e_ard_3-0-0_097084_2004-11-13_final
2006-02-10 09:13:19	ga_ls7e_ard_3-0-0_091076_2006-02-09_final
2006-09-14 11:41:57	ga_ls7e_ard_3-0-0_115078_2006-09-14_final
2006-09-26 10:28:54	ga_ls7e_ard_3-0-0_103081_2006-09-26_final
2007-02-05 10:03:53	ga_ls7e_ard_3-0-0_099078_2007-02-05_final
2007-09-07 11:03:59	ga_ls7e_ard_3-0-0_109075_2007-09-07_final
2007-10-12 09:59:28	ga_ls7e_ard_3-0-0_098084_2007-10-12_final
2007-10-21 09:47:25	ga_ls7e_ard_3-0-0_097069_2007-10-21_final
2007-11-08 09:36:27	ga_ls7e_ard_3-0-0_095072_2007-11-08_final
2008-03-16 10:23:23	ga_ls7e_ard_3-0-0_102081_2008-03-16_final
2008-06-28 11:09:54	ga_ls7e_ard_3-0-0_110075_2008-06-28_final
2008-08-28 10:38:52	ga_ls7e_ard_3-0-0_105076_2008-08-28_final
2009-01-05 10:25:29	ga_ls7e_ard_3-0-0_103072_2009-01-05_final
2009-10-06 10:13:11	ga_ls7e_ard_3-0-0_101071_2009-10-06_final
2010-01-15 10:31:57	ga_ls7e_ard_3-0-0_104068_2010-01-15_final
2010-03-12 11:24:23	ga_ls7e_ard_3-0-0_112074_2010-03-12_final
2010-05-27 10:11:25	ga_ls7e_ard_3-0-0_100077_2010-05-27_final
2010-10-06 11:24:32	ga_ls7e_ard_3-0-0_112074_2010-10-06_final
2011-01-12 11:11:35	ga_ls7e_ard_3-0-0_110070_2011-01-12_final
2011-02-21 10:22:44	ga_ls7e_ard_3-0-0_102071_2011-02-21_final
2011-03-17 11:15:51	ga_ls7e_ard_3-0-0_110080_2011-03-17_final
2011-04-09 11:23:18	ga_ls7e_ard_3-0-0_111083_2011-04-09_final
2011-05-13 11:08:06	ga_ls7e_ard_3-0-0_109076_2011-05-13_final
2011-11-29 10:19:11	ga_ls7e_ard_3-0-0_101077_2011-11-29_final
2011-12-22 10:27:10	ga_ls7e_ard_3-0-0_102081_2011-12-22_final
2012-07-19 10:14:07	ga_ls7e_ard_3-0-0_100077_2012-07-19_final
2012-10-25 11:37:39	ga_ls7e_ard_3-0-0_114067_2012-10-25_final
2013-01-20 11:48:34	ga_ls7e_ard_3-0-0_115078_2013-01-20_final
2013-12-06 11:49:09	ga_ls7e_ard_3-0-0_115079_2013-12-06_final
2014-07-01 11:05:27	ga_ls7e_ard_3-1-0_108075_2014-07-01_final
2014-08-19 10:08:22	ga_ls7e_ard_3-0-0_099071_2014-08-19_final
2014-09-05 10:55:37	ga_ls7e_ard_3-0-0_106081_2014-09-05_final
2015-03-01 11:37:18	ga_ls7e_ard_3-0-0_113074_2015-03-01_final
2015-07-28 10:19:27	ga_ls7e_ard_3-0-0_100078_2015-07-28_final
2017-02-13 11:21:50	ga_ls7e_ard_3-0-0_110074_2017-02-13_final
2017-02-28 10:41:30	ga_ls7e_ard_3-0-0_103081_2017-02-28_final
2017-04-19 10:29:27	ga_ls7e_ard_3-0-0_101081_2017-04-19_final
2018-02-11 09:29:13	ga_ls7e_ard_3-0-0_091087_2018-02-10_final
2018-06-10 09:34:03	ga_ls7e_ard_3-0-0_092088_2018-06-10_final
2019-05-06 09:54:51	ga_ls7e_ard_3-0-0_098069_2019-05-06_final
2019-12-30 10:02:42	ga_ls7e_ard_3-1-0_100083_2019-12-30_final
2020-05-05 10:48:15	ga_ls7e_ard_3-1-0_109075_2020-05-05_final
2021-03-26 10:41:39	ga_ls7e_ard_3-2-0_112067_2021-03-26_final
2021-08-29 09:18:16	ga_ls7e_ard_3-2-0_100077_2021-08-28_final
2021-10-29 10:18:49	ga_ls7e_ard_3-2-0_111072_2021-10-29_final
2021-11-16 08:26:40	ga_ls7e_ard_3-2-1_093074_2021-11-15_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