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

53 results

Time (local)	Label
2000-01-27 09:04:55	ga_ls7e_ard_3-0-0_089079_2000-01-26_final
2000-05-17 11:39:31	ga_ls7e_ard_3-0-0_114081_2000-05-17_final
2000-06-08 09:26:05	ga_ls7e_ard_3-0-0_092088_2000-06-07_final
2001-05-01 11:05:24	ga_ls7e_ard_3-0-0_109078_2001-05-01_final
2002-05-29 10:56:09	ga_ls7e_ard_3-0-0_108074_2002-05-29_final
2002-08-04 11:29:26	ga_ls7e_ard_3-0-0_113081_2002-08-04_final
2002-08-26 09:12:05	ga_ls7e_ard_3-0-0_091078_2002-08-25_final
2002-09-07 09:32:23	ga_ls7e_ard_3-0-0_095067_2002-09-07_final
2003-10-29 10:21:40	ga_ls7e_ard_3-0-0_102081_2003-10-29_final
2004-02-29 10:00:15	ga_ls7e_ard_3-0-0_099072_2004-02-29_final
2004-07-12 09:27:49	ga_ls7e_ard_3-0-0_093084_2004-07-11_final
2005-01-23 11:31:14	ga_ls7e_ard_3-0-0_114067_2005-01-23_final
2005-05-19 09:33:49	ga_ls7e_ard_3-0-0_094082_2005-05-19_final
2006-07-11 10:55:23	ga_ls7e_ard_3-0-0_108069_2006-07-11_final
2007-05-16 11:16:51	ga_ls7e_ard_3-0-0_111075_2007-05-16_final
2007-10-14 11:19:14	ga_ls7e_ard_3-0-0_112067_2007-10-14_final
2008-01-03 10:29:47	ga_ls7e_ard_3-0-0_103081_2008-01-03_final
2008-02-02 09:04:26	ga_ls7e_ard_3-0-0_089084_2008-02-01_final
2008-04-18 11:03:50	ga_ls7e_ard_3-0-0_109074_2008-04-18_final
2008-04-26 10:17:34	ga_ls7e_ard_3-0-0_101082_2008-04-26_final
2008-06-23 09:15:44	ga_ls7e_ard_3-0-0_091083_2008-06-22_final
2008-07-07 09:27:08	ga_ls7e_ard_3-0-0_093081_2008-07-06_final
2008-11-26 09:33:42	ga_ls7e_ard_3-0-0_095067_2008-11-26_final
2009-06-28 10:40:12	ga_ls7e_ard_3-0-0_105076_2009-06-28_final
2009-08-13 09:19:02	ga_ls7e_ard_3-0-0_091090_2009-08-12_final
2010-07-27 11:21:54	ga_ls7e_ard_3-0-0_111083_2010-07-27_final
2010-08-27 10:33:05	ga_ls7e_ard_3-0-0_104069_2010-08-27_final
2010-10-20 10:02:10	ga_ls7e_ard_3-0-0_098084_2010-10-20_final
2011-02-19 10:39:29	ga_ls7e_ard_3-0-0_104082_2011-02-19_final
2011-10-09 11:22:41	ga_ls7e_ard_3-0-0_112067_2011-10-09_final
2011-11-07 10:58:49	ga_ls7e_ard_3-0-0_107084_2011-11-07_final
2012-02-07 09:38:30	ga_ls7e_ard_3-0-0_095067_2012-02-07_final
2012-02-13 09:07:50	ga_ls7e_ard_3-0-0_089083_2012-02-12_final
2012-03-18 10:33:33	ga_ls7e_ard_3-0-0_103081_2012-03-18_final
2012-05-20 11:24:09	ga_ls7e_ard_3-0-0_112067_2012-05-20_final
2012-06-26 10:04:01	ga_ls7e_ard_3-0-0_099068_2012-06-26_final
2013-07-19 09:44:33	ga_ls7e_ard_3-1-0_095079_2013-07-19_final
2013-08-24 09:21:27	ga_ls7e_ard_3-0-0_091083_2013-08-23_final
2014-08-21 09:55:12	ga_ls7e_ard_3-0-0_097069_2014-08-21_final
2014-12-07 10:22:40	ga_ls7e_ard_3-0-0_101074_2014-12-07_final
2017-03-13 10:06:42	ga_ls7e_ard_3-0-0_098071_2017-03-13_final
2017-04-28 10:24:31	ga_ls7e_ard_3-0-0_100084_2017-04-28_final
2017-06-23 09:31:42	ga_ls7e_ard_3-0-0_092075_2017-06-23_final
2017-12-21 09:46:43	ga_ls7e_ard_3-0-0_095067_2017-12-21_final
2018-01-10 11:04:36	ga_ls7e_ard_3-0-0_107077_2018-01-10_final
2018-04-06 10:26:46	ga_ls7e_ard_3-0-0_101078_2018-04-06_final
2018-06-04 11:45:20	ga_ls7e_ard_3-0-0_114076_2018-06-04_final
2020-01-26 09:42:00	ga_ls7e_ard_3-1-0_097081_2020-01-26_final
2020-04-12 09:10:09	ga_ls7e_ard_3-1-0_092089_2020-04-11_final
2020-06-15 10:40:01	ga_ls7e_ard_3-1-0_108076_2020-06-15_final
2020-07-19 10:28:01	ga_ls7e_ard_3-1-0_106082_2020-07-19_final
2020-12-26 08:36:24	ga_ls7e_ard_3-1-0_090077_2020-12-25_final
2021-02-21 10:01:23	ga_ls7e_ard_3-2-0_105068_2021-02-21_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