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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

73 results

Time (local)	Label
1999-09-09 10:20:46	ga_ls7e_ard_3-0-0_101083_1999-09-09_final
1999-10-24 11:25:07	ga_ls7e_ard_3-0-0_112074_1999-10-24_final
1999-11-08 09:05:49	ga_ls7e_ard_3-1-0_089081_1999-11-07_final
2000-04-12 11:08:26	ga_ls7e_ard_3-0-0_109080_2000-04-12_final
2000-04-21 09:26:08	ga_ls7e_ard_3-0-0_092087_2000-04-20_final
2000-04-30 09:17:34	ga_ls7e_ard_3-0-0_091081_2000-04-29_final
2000-07-11 11:44:18	ga_ls7e_ard_3-0-0_115079_2000-07-11_final
2000-08-05 09:54:04	ga_ls7e_ard_3-0-0_098067_2000-08-05_final
2000-08-09 09:29:17	ga_ls7e_ard_3-1-0_094067_2000-08-08_final
2000-12-11 11:32:12	ga_ls7e_ard_3-0-0_114067_2000-12-11_final
2001-01-30 11:19:59	ga_ls7e_ard_3-0-0_112067_2001-01-30_final
2001-03-09 09:09:50	ga_ls7e_ard_3-0-0_090082_2001-03-08_final
2001-04-02 09:55:03	ga_ls7e_ard_3-0-0_098072_2001-04-02_final
2002-03-05 09:00:39	ga_ls7e_ard_3-0-0_089078_2002-03-04_final
2002-06-13 10:14:00	ga_ls7e_ard_3-0-0_101077_2002-06-13_final
2002-09-16 09:26:02	ga_ls7e_ard_3-1-0_094067_2002-09-15_final
2002-10-19 10:13:15	ga_ls7e_ard_3-0-0_101077_2002-10-19_final
2003-01-06 09:26:33	ga_ls7e_ard_3-1-0_094067_2003-01-05_final
2003-09-19 09:26:27	ga_ls7e_ard_3-1-0_094067_2003-09-18_final
2003-12-11 09:59:52	ga_ls7e_ard_3-0-0_099072_2003-12-11_final
2004-06-04 09:59:02	ga_ls7e_ard_3-0-0_099069_2004-06-04_final
2004-08-06 09:22:15	ga_ls7e_ard_3-0-0_092086_2004-08-05_final
2004-08-15 10:52:58	ga_ls7e_ard_3-0-0_107081_2004-08-15_final
2004-09-07 09:17:45	ga_ls7e_ard_3-0-0_092075_2004-09-06_final
2004-12-06 11:36:34	ga_ls7e_ard_3-0-0_114081_2004-12-06_final
2005-01-20 09:29:26	ga_ls7e_ard_3-0-0_093087_2005-01-19_final
2006-03-07 09:11:59	ga_ls7e_ard_3-0-0_090088_2006-03-06_final
2006-04-11 11:17:19	ga_ls7e_ard_3-0-0_111077_2006-04-11_final
2006-08-31 11:31:39	ga_ls7e_ard_3-0-0_113083_2006-08-31_final
2006-11-12 09:45:40	ga_ls7e_ard_3-0-0_096080_2006-11-12_final
2007-01-09 10:19:53	ga_ls7e_ard_3-0-0_102072_2007-01-09_final
2007-10-25 09:21:57	ga_ls7e_ard_3-0-0_093067_2007-10-24_final
2007-11-05 09:11:07	ga_ls7e_ard_3-0-0_090086_2007-11-04_final
2007-11-11 10:08:59	ga_ls7e_ard_3-0-0_100076_2007-11-11_final
2008-01-08 10:49:08	ga_ls7e_ard_3-0-0_106083_2008-01-08_final
2008-04-04 09:15:49	ga_ls7e_ard_3-0-0_091082_2008-04-03_final
2008-04-14 09:47:42	ga_ls7e_ard_3-0-0_097069_2008-04-14_final
2008-10-05 09:58:14	ga_ls7e_ard_3-0-0_099068_2008-10-05_final
2008-11-19 09:27:26	ga_ls7e_ard_3-1-0_094067_2008-11-18_final
2009-01-09 11:42:28	ga_ls7e_ard_3-0-0_115079_2009-01-09_final
2009-11-06 09:28:43	ga_ls7e_ard_3-1-0_094067_2009-11-05_final
2010-09-26 09:14:58	ga_ls7e_ard_3-0-0_090090_2010-09-25_final
2010-10-05 09:05:34	ga_ls7e_ard_3-0-0_089082_2010-10-04_final
2010-12-10 10:27:14	ga_ls7e_ard_3-0-0_103068_2010-12-10_final
2011-01-10 09:51:25	ga_ls7e_ard_3-1-0_096086_2011-01-10_final
2011-10-23 11:39:10	ga_ls7e_ard_3-0-0_114077_2011-10-23_final
2011-12-14 09:32:00	ga_ls7e_ard_3-1-0_094067_2011-12-14_final
2012-12-09 11:08:09	ga_ls7e_ard_3-0-0_109070_2012-12-09_final
2013-12-27 10:29:40	ga_ls7e_ard_3-0-0_102081_2013-12-27_final
2014-06-11 09:48:00	ga_ls7e_ard_3-0-0_096067_2014-06-11_final
2015-07-05 10:13:12	ga_ls7e_ard_3-0-0_099078_2015-07-05_final
2015-10-22 09:38:33	ga_ls7e_ard_3-1-0_094067_2015-10-22_final
2016-07-20 11:25:41	ga_ls7e_ard_3-0-0_110082_2016-07-20_final
2016-12-07 11:48:18	ga_ls7e_ard_3-0-0_114077_2016-12-07_final
2017-01-27 10:41:27	ga_ls7e_ard_3-0-0_103081_2017-01-27_final
2017-05-09 11:43:43	ga_ls7e_ard_3-0-0_113081_2017-05-09_final
2017-05-18 09:57:28	ga_ls7e_ard_3-0-0_096078_2017-05-18_final
2017-06-01 11:44:23	ga_ls7e_ard_3-0-0_114067_2017-06-01_final
2017-11-10 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-11-10_final
2017-11-19 11:26:16	ga_ls7e_ard_3-0-0_111068_2017-11-19_final
2018-09-24 11:45:08	ga_ls7e_ard_3-0-0_114081_2018-09-24_final
2019-01-05 10:11:01	ga_ls7e_ard_3-0-0_099084_2019-01-05_final
2019-12-01 08:57:23	ga_ls7e_ard_3-1-0_089086_2019-11-30_final
2020-03-16 09:29:01	ga_ls7e_ard_3-1-0_095086_2020-03-15_final
2020-07-10 08:54:16	ga_ls7e_ard_3-1-0_091078_2020-07-09_final
2021-02-01 10:33:59	ga_ls7e_ard_3-2-0_109084_2021-02-01_final
2021-02-04 09:23:00	ga_ls7e_ard_3-2-0_098077_2021-02-03_final
2021-02-11 09:25:04	ga_ls7e_ard_3-2-0_099068_2021-02-10_final
2021-05-15 08:46:14	ga_ls7e_ard_3-2-0_094067_2021-05-14_final
2021-10-08 08:29:17	ga_ls7e_ard_3-2-0_092087_2021-10-07_final
2021-11-10 09:03:08	ga_ls7e_ard_3-2-0_099071_2021-11-09_final
2021-11-18 08:15:18	ga_ls7e_ard_3-2-1_091077_2021-11-17_final
2022-01-16 09:31:57	ga_ls7e_ard_3-2-1_104082_2022-01-16_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