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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

68 results

Time (local)	Label
2000-03-12 10:09:29	ga_ls7e_ard_3-0-0_100071_2000-03-12_final
2000-03-13 10:52:44	ga_ls7e_ard_3-0-0_107071_2000-03-13_final
2001-06-03 10:09:24	ga_ls7e_ard_3-0-0_100078_2001-06-03_final
2001-06-23 11:18:54	ga_ls7e_ard_3-0-0_112067_2001-06-23_final
2001-10-18 09:58:36	ga_ls7e_ard_3-0-0_099070_2001-10-18_final
2001-12-29 10:50:24	ga_ls7e_ard_3-0-0_107075_2001-12-29_final
2002-03-11 10:02:02	ga_ls7e_ard_3-0-0_099077_2002-03-11_final
2002-03-28 10:44:24	ga_ls7e_ard_3-1-0_106075_2002-03-28_final
2002-05-05 10:08:33	ga_ls7e_ard_3-0-0_100078_2002-05-05_final
2002-07-28 11:17:43	ga_ls7e_ard_3-0-0_112067_2002-07-28_final
2002-08-15 11:06:29	ga_ls7e_ard_3-0-0_110070_2002-08-15_final
2002-11-26 11:13:53	ga_ls7e_ard_3-0-0_111073_2002-11-26_final
2003-03-31 10:44:41	ga_ls7e_ard_3-0-0_106076_2003-03-31_final
2003-04-24 09:56:04	ga_ls7e_ard_3-0-0_098078_2003-04-24_final
2003-07-28 10:49:51	ga_ls7e_ard_3-0-0_107074_2003-07-28_final
2003-12-12 10:44:44	ga_ls7e_ard_3-0-0_106076_2003-12-12_final
2003-12-27 11:40:53	ga_ls7e_ard_3-0-0_115077_2003-12-27_final
2003-12-28 10:43:17	ga_ls7e_ard_3-0-0_106072_2003-12-28_final
2004-01-11 09:17:59	ga_ls7e_ard_3-0-0_092075_2004-01-10_final
2004-01-22 10:38:25	ga_ls7e_ard_3-0-0_105075_2004-01-22_final
2004-01-25 11:09:21	ga_ls7e_ard_3-0-0_110075_2004-01-25_final
2004-02-29 11:41:08	ga_ls7e_ard_3-1-0_115077_2004-02-29_final
2004-03-15 09:20:18	ga_ls7e_ard_3-0-0_092080_2004-03-14_final
2004-04-18 10:45:07	ga_ls7e_ard_3-0-0_106076_2004-04-18_final
2004-07-21 09:22:47	ga_ls7e_ard_3-0-0_092087_2004-07-20_final
2004-12-04 10:08:02	ga_ls7e_ard_3-0-0_100076_2004-12-04_final
2005-02-26 09:40:15	ga_ls7e_ard_3-0-0_096067_2005-02-26_final
2005-03-29 10:39:28	ga_ls7e_ard_3-0-0_105076_2005-03-29_final
2005-04-20 10:03:26	ga_ls7e_ard_3-0-0_099079_2005-04-20_final
2005-06-11 11:15:34	ga_ls7e_ard_3-0-0_111074_2005-06-11_final
2006-02-03 09:10:42	ga_ls7e_ard_3-0-0_090085_2006-02-02_final
2006-02-11 09:57:47	ga_ls7e_ard_3-0-0_098079_2006-02-11_final
2007-01-09 10:20:17	ga_ls7e_ard_3-0-0_102073_2007-01-09_final
2007-04-14 09:34:55	ga_ls7e_ard_3-0-0_095067_2007-04-14_final
2007-09-22 10:23:02	ga_ls7e_ard_3-0-0_102081_2007-09-22_final
2008-06-15 10:02:52	ga_ls7e_ard_3-0-0_099077_2008-06-15_final
2008-10-23 09:50:22	ga_ls7e_ard_3-0-0_097079_2008-10-23_final
2008-12-08 10:02:56	ga_ls7e_ard_3-0-0_099078_2008-12-08_final
2009-01-06 11:07:57	ga_ls7e_ard_3-0-0_110070_2009-01-06_final
2009-01-09 11:42:28	ga_ls7e_ard_3-0-0_115079_2009-01-09_final
2009-03-14 10:04:04	ga_ls7e_ard_3-0-0_099079_2009-03-14_final
2009-03-22 10:51:34	ga_ls7e_ard_3-0-0_107074_2009-03-22_final
2009-09-11 10:23:25	ga_ls7e_ard_3-1-0_102081_2009-09-11_final
2010-10-05 10:41:16	ga_ls7e_ard_3-0-0_105074_2010-10-05_final
2010-12-02 09:37:19	ga_ls7e_ard_3-0-0_095067_2010-12-02_final
2010-12-30 10:03:05	ga_ls7e_ard_3-0-0_099069_2010-12-30_final
2011-04-09 09:38:02	ga_ls7e_ard_3-0-0_095067_2011-04-09_final
2011-04-25 09:38:01	ga_ls7e_ard_3-0-0_095067_2011-04-25_final
2011-07-18 10:55:17	ga_ls7e_ard_3-0-0_107075_2011-07-18_final
2012-01-14 10:33:28	ga_ls7e_ard_3-0-0_103081_2012-01-14_final
2013-03-04 09:46:44	ga_ls7e_ard_3-0-0_096067_2013-03-04_final
2013-03-17 10:55:53	ga_ls7e_ard_3-0-0_107070_2013-03-17_final
2013-06-28 09:29:01	ga_ls7e_ard_3-0-0_092086_2013-06-27_final
2014-05-31 10:11:18	ga_ls7e_ard_3-0-0_099079_2014-05-31_final
2014-07-17 09:31:46	ga_ls7e_ard_3-0-0_092088_2014-07-17_final
2015-12-29 10:54:32	ga_ls7e_ard_3-0-0_106069_2015-12-29_final
2017-01-27 10:41:27	ga_ls7e_ard_3-0-0_103081_2017-01-27_final
2017-11-26 09:53:07	ga_ls7e_ard_3-0-0_096067_2017-11-26_final
2018-10-19 11:39:09	ga_ls7e_ard_3-0-0_113083_2018-10-19_final
2019-01-25 09:46:27	ga_ls7e_ard_3-0-0_095086_2019-01-25_final
2019-12-17 10:31:29	ga_ls7e_ard_3-1-0_105076_2019-12-17_final
2020-02-02 09:49:02	ga_ls7e_ard_3-1-0_098084_2020-02-02_final
2020-03-14 11:18:22	ga_ls7e_ard_3-1-0_113081_2020-03-14_final
2020-03-23 09:27:13	ga_ls7e_ard_3-1-0_096067_2020-03-22_final
2020-04-18 10:08:48	ga_ls7e_ard_3-1-0_102082_2020-04-18_final
2020-12-11 10:59:39	ga_ls7e_ard_3-1-0_113077_2020-12-11_final
2021-05-19 10:03:15	ga_ls7e_ard_3-2-0_106075_2021-05-19_final
2022-01-10 10:04:48	ga_ls7e_ard_3-2-1_110070_2022-01-10_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