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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

71 results

Time (local)	Label
1999-08-10 10:06:01	ga_ls7e_ard_3-0-0_099077_1999-08-10_final
1999-09-08 11:12:01	ga_ls7e_ard_3-1-0_110072_1999-09-08_final
1999-09-11 10:03:12	ga_ls7e_ard_3-0-0_099070_1999-09-11_final
2000-02-23 10:21:28	ga_ls7e_ard_3-0-0_102070_2000-02-23_final
2000-04-30 10:52:04	ga_ls7e_ard_3-0-0_107070_2000-04-30_final
2000-06-24 10:59:42	ga_ls7e_ard_3-1-0_108075_2000-06-24_final
2000-07-27 11:43:36	ga_ls7e_ard_3-0-0_115078_2000-07-27_final
2002-07-07 11:02:33	ga_ls7e_ard_3-0-0_109075_2002-07-07_final
2003-07-21 10:44:07	ga_ls7e_ard_3-1-0_106075_2003-07-21_final
2003-08-30 11:32:59	ga_ls7e_ard_3-0-0_114074_2003-08-30_final
2003-11-22 11:08:34	ga_ls7e_ard_3-0-0_110074_2003-11-22_final
2003-12-03 10:48:26	ga_ls7e_ard_3-0-0_107070_2003-12-03_final
2004-01-05 09:53:04	ga_ls7e_ard_3-0-0_098070_2004-01-05_final
2004-04-02 10:44:27	ga_ls7e_ard_3-0-0_106074_2004-04-02_final
2004-11-21 10:38:24	ga_ls7e_ard_3-0-0_105075_2004-11-21_final
2004-12-01 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-12-01_final
2005-02-17 09:47:11	ga_ls7e_ard_3-0-0_097069_2005-02-17_final
2006-04-16 09:52:57	ga_ls7e_ard_3-0-0_098067_2006-04-16_final
2006-11-14 11:09:49	ga_ls7e_ard_3-0-0_110074_2006-11-14_final
2006-12-28 09:57:09	ga_ls7e_ard_3-0-0_098077_2006-12-28_final
2007-02-21 10:01:11	ga_ls7e_ard_3-1-0_099071_2007-02-21_final
2007-03-03 09:02:13	ga_ls7e_ard_3-0-0_089078_2007-03-02_final
2007-04-04 10:37:08	ga_ls7e_ard_3-0-0_105068_2007-04-04_final
2008-03-17 11:03:28	ga_ls7e_ard_3-0-0_109073_2008-03-17_final
2008-03-26 11:01:17	ga_ls7e_ard_3-0-0_108083_2008-03-26_final
2008-03-27 10:03:40	ga_ls7e_ard_3-0-0_099078_2008-03-27_final
2008-03-28 10:42:56	ga_ls7e_ard_3-0-0_106068_2008-03-28_final
2008-04-07 11:22:24	ga_ls7e_ard_3-0-0_112074_2008-04-07_final
2008-09-07 11:15:04	ga_ls7e_ard_3-0-0_111074_2008-09-07_final
2008-10-12 10:08:19	ga_ls7e_ard_3-0-0_100078_2008-10-12_final
2008-12-23 10:55:54	ga_ls7e_ard_3-0-0_108071_2008-12-23_final
2009-08-05 10:00:32	ga_ls7e_ard_3-0-0_099070_2009-08-05_final
2009-09-11 10:18:14	ga_ls7e_ard_3-0-0_102068_2009-09-11_final
2009-12-12 09:08:25	ga_ls7e_ard_3-0-0_090077_2009-12-11_final
2010-04-22 11:22:17	ga_ls7e_ard_3-0-0_111084_2010-04-22_final
2010-08-01 09:59:09	ga_ls7e_ard_3-0-0_098077_2010-08-01_final
2011-02-11 09:46:01	ga_ls7e_ard_3-0-0_096072_2011-02-11_final
2011-05-23 11:44:47	ga_ls7e_ard_3-0-0_115075_2011-05-23_final
2011-06-09 09:15:53	ga_ls7e_ard_3-0-0_090089_2011-06-08_final
2011-07-09 09:27:46	ga_ls7e_ard_3-0-0_092088_2011-07-08_final
2011-07-18 10:58:04	ga_ls7e_ard_3-0-0_107082_2011-07-18_final
2012-01-04 09:57:58	ga_ls7e_ard_3-0-0_097085_2012-01-04_final
2012-01-18 11:46:25	ga_ls7e_ard_3-0-0_115078_2012-01-18_final
2012-08-08 09:47:14	ga_ls7e_ard_3-0-0_096071_2012-08-08_final
2012-10-31 11:06:59	ga_ls7e_ard_3-0-0_108083_2012-10-31_final
2013-09-06 10:28:48	ga_ls7e_ard_3-0-0_102081_2013-09-06_final
2014-05-31 10:11:18	ga_ls7e_ard_3-0-0_099079_2014-05-31_final
2014-08-09 11:11:47	ga_ls7e_ard_3-0-0_109075_2014-08-09_final
2014-10-14 09:26:50	ga_ls7e_ard_3-0-0_091090_2014-10-13_final
2014-10-16 09:10:54	ga_ls7e_ard_3-1-0_089081_2014-10-15_final
2014-11-04 11:17:19	ga_ls7e_ard_3-1-0_110072_2014-11-04_final
2016-06-11 11:16:40	ga_ls7e_ard_3-0-0_109075_2016-06-11_final
2016-07-12 10:30:37	ga_ls7e_ard_3-0-0_102068_2016-07-12_final
2017-01-07 11:02:00	ga_ls7e_ard_3-0-0_107070_2017-01-07_final
2017-02-28 10:41:30	ga_ls7e_ard_3-0-0_103081_2017-02-28_final
2017-09-22 10:51:59	ga_ls7e_ard_3-0-0_105075_2017-09-22_final
2018-04-07 09:34:44	ga_ls7e_ard_3-0-0_092087_2018-04-07_final
2018-06-21 09:12:55	ga_ls7e_ard_3-0-0_089082_2018-06-20_final
2018-08-30 10:11:23	ga_ls7e_ard_3-0-0_099077_2018-08-30_final
2019-06-10 10:29:14	ga_ls7e_ard_3-0-0_103081_2019-06-10_final
2019-08-25 09:15:40	ga_ls7e_ard_3-1-0_091090_2019-08-24_final
2019-09-15 11:06:11	ga_ls7e_ard_3-1-0_110075_2019-09-15_final
2019-10-04 09:58:35	ga_ls7e_ard_3-1-0_099078_2019-10-04_final
2019-10-20 09:57:55	ga_ls7e_ard_3-1-0_099078_2019-10-20_final
2020-04-26 09:20:53	ga_ls7e_ard_3-1-0_094087_2020-04-25_final
2020-06-17 10:27:08	ga_ls7e_ard_3-1-0_106075_2020-06-17_final
2021-06-02 10:14:24	ga_ls7e_ard_3-2-0_108075_2021-06-02_final
2021-08-06 09:14:30	ga_ls7e_ard_3-2-0_099078_2021-08-05_final
2021-08-10 08:52:37	ga_ls7e_ard_3-2-0_095086_2021-08-09_final
2021-09-23 09:10:17	ga_ls7e_ard_3-2-0_099078_2021-09-22_final
2021-12-29 09:40:28	ga_ls7e_ard_3-2-1_106068_2021-12-29_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