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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

66 results

Time (local)	Label
1999-06-30 10:11:59	ga_ls7e_ard_3-0-0_100077_1999-06-30_final
1999-10-14 10:46:35	ga_ls7e_ard_3-0-0_106070_1999-10-14_final
1999-11-05 10:11:47	ga_ls7e_ard_3-0-0_100076_1999-11-05_final
2000-02-24 11:07:32	ga_ls7e_ard_3-0-0_109077_2000-02-24_final
2000-03-05 10:01:44	ga_ls7e_ard_3-0-0_099067_2000-03-05_final
2000-03-21 11:45:00	ga_ls7e_ard_3-0-0_115078_2000-03-21_final
2000-03-22 09:13:42	ga_ls7e_ard_3-1-0_090086_2000-03-21_final
2000-04-28 11:06:26	ga_ls7e_ard_3-0-0_109075_2000-04-28_final
2000-05-24 10:01:29	ga_ls7e_ard_3-0-0_099068_2000-05-24_final
2000-08-21 10:00:45	ga_ls7e_ard_3-1-0_098084_2000-08-21_final
2001-04-22 09:35:30	ga_ls7e_ard_3-0-0_094085_2001-04-22_final
2001-05-02 10:08:59	ga_ls7e_ard_3-0-0_100076_2001-05-02_final
2002-01-15 09:56:06	ga_ls7e_ard_3-0-0_098078_2002-01-15_final
2002-02-24 10:44:30	ga_ls7e_ard_3-1-0_106075_2002-02-24_final
2003-02-11 10:44:15	ga_ls7e_ard_3-1-0_106075_2003-02-11_final
2003-11-18 09:55:33	ga_ls7e_ard_3-0-0_098077_2003-11-18_final
2003-12-24 11:09:10	ga_ls7e_ard_3-0-0_110075_2003-12-24_final
2004-03-25 09:59:01	ga_ls7e_ard_3-0-0_098084_2004-03-25_final
2004-06-04 10:02:38	ga_ls7e_ard_3-0-0_099078_2004-06-04_final
2004-06-12 10:50:49	ga_ls7e_ard_3-0-0_107075_2004-06-12_final
2004-09-25 10:44:11	ga_ls7e_ard_3-1-0_106075_2004-09-25_final
2004-12-03 11:03:15	ga_ls7e_ard_3-0-0_109075_2004-12-03_final
2005-08-16 11:03:03	ga_ls7e_ard_3-0-0_109074_2005-08-16_final
2005-11-14 10:04:35	ga_ls7e_ard_3-0-0_099082_2005-11-14_final
2005-12-05 10:18:28	ga_ls7e_ard_3-0-0_102070_2005-12-05_final
2006-01-30 09:30:36	ga_ls7e_ard_3-0-0_094073_2006-01-30_final
2006-02-19 10:47:39	ga_ls7e_ard_3-0-0_106080_2006-02-19_final
2006-07-20 10:51:30	ga_ls7e_ard_3-0-0_107075_2006-07-20_final
2006-09-03 10:19:40	ga_ls7e_ard_3-0-0_102073_2006-09-03_final
2009-03-04 09:29:18	ga_ls7e_ard_3-0-0_093085_2009-03-03_final
2009-06-28 10:40:12	ga_ls7e_ard_3-0-0_105076_2009-06-28_final
2009-09-26 11:15:49	ga_ls7e_ard_3-0-0_111073_2009-09-26_final
2010-02-15 09:51:04	ga_ls7e_ard_3-0-0_097073_2010-02-15_final
2010-03-05 11:17:45	ga_ls7e_ard_3-0-0_111073_2010-03-05_final
2010-06-23 11:34:12	ga_ls7e_ard_3-0-0_113083_2010-06-23_final
2010-09-18 09:58:26	ga_ls7e_ard_3-0-0_098075_2010-09-18_final
2010-10-18 10:11:42	ga_ls7e_ard_3-0-0_100077_2010-10-18_final
2011-03-16 10:29:24	ga_ls7e_ard_3-0-0_103072_2011-03-16_final
2011-05-19 10:27:49	ga_ls7e_ard_3-0-0_103068_2011-05-19_final
2011-07-02 10:58:28	ga_ls7e_ard_3-0-0_107083_2011-07-02_final
2012-01-24 11:08:06	ga_ls7e_ard_3-0-0_109075_2012-01-24_final
2012-11-09 09:23:56	ga_ls7e_ard_3-0-0_091088_2012-11-08_final
2012-12-02 11:03:55	ga_ls7e_ard_3-1-0_108075_2012-12-02_final
2013-08-21 10:23:25	ga_ls7e_ard_3-0-0_102068_2013-08-21_final
2014-06-13 11:17:43	ga_ls7e_ard_3-0-0_110075_2014-06-13_final
2014-12-30 10:27:46	ga_ls7e_ard_3-0-0_102071_2014-12-30_final
2016-01-13 10:17:07	ga_ls7e_ard_3-0-0_099083_2016-01-13_final
2016-03-24 10:21:26	ga_ls7e_ard_3-0-0_100077_2016-03-24_final
2016-12-13 11:08:24	ga_ls7e_ard_3-0-0_108070_2016-12-13_final
2016-12-24 09:14:06	ga_ls7e_ard_3-0-0_089078_2016-12-23_final
2017-12-18 10:57:55	ga_ls7e_ard_3-1-0_106075_2017-12-18_final
2018-06-03 11:05:17	ga_ls7e_ard_3-0-0_107084_2018-06-03_final
2018-08-05 10:18:27	ga_ls7e_ard_3-0-0_100078_2018-08-05_final
2018-09-18 10:43:52	ga_ls7e_ard_3-0-0_104082_2018-09-18_final
2019-08-06 10:20:51	ga_ls7e_ard_3-0-0_102081_2019-08-06_final
2019-09-10 09:14:58	ga_ls7e_ard_3-1-0_091090_2019-09-09_final
2020-01-23 10:47:44	ga_ls7e_ard_3-1-0_108075_2020-01-23_final
2020-06-25 09:40:49	ga_ls7e_ard_3-1-0_098084_2020-06-25_final
2020-07-12 10:19:52	ga_ls7e_ard_3-1-0_105076_2020-07-12_final
2020-07-23 09:59:27	ga_ls7e_ard_3-1-0_102073_2020-07-23_final
2020-07-29 11:01:17	ga_ls7e_ard_3-1-0_112074_2020-07-29_final
2021-03-31 09:21:42	ga_ls7e_ard_3-2-0_099069_2021-03-30_final
2021-05-19 10:03:15	ga_ls7e_ard_3-2-0_106075_2021-05-19_final
2021-07-22 09:57:53	ga_ls7e_ard_3-2-0_106075_2021-07-22_final
2022-02-15 08:04:49	ga_ls7e_ard_3-2-1_090088_2022-02-14_final
2022-03-08 09:58:37	ga_ls7e_ard_3-2-1_109084_2022-03-08_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

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