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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

53 results

Time (local)	Label
1999-12-11 09:43:32	ga_ls7e_ard_3-0-0_096067_1999-12-11_final
1999-12-27 09:43:24	ga_ls7e_ard_3-0-0_096067_1999-12-27_final
2001-01-08 10:23:42	ga_ls7e_ard_3-0-0_102081_2001-01-08_final
2001-04-04 09:40:38	ga_ls7e_ard_3-0-0_096067_2001-04-04_final
2001-07-20 11:01:50	ga_ls7e_ard_3-0-0_109071_2001-07-20_final
2001-07-25 09:39:50	ga_ls7e_ard_3-0-0_096067_2001-07-25_final
2001-09-29 11:11:53	ga_ls7e_ard_3-0-0_110083_2001-09-29_final
2002-04-29 10:44:25	ga_ls7e_ard_3-1-0_106075_2002-04-29_final
2002-07-27 10:39:39	ga_ls7e_ard_3-1-0_105080_2002-07-27_final
2002-08-19 10:43:44	ga_ls7e_ard_3-1-0_106075_2002-08-19_final
2003-02-09 09:22:30	ga_ls7e_ard_3-0-0_092087_2003-02-08_final
2003-07-19 10:54:06	ga_ls7e_ard_3-0-0_108069_2003-07-19_final
2003-11-30 10:21:55	ga_ls7e_ard_3-0-0_102081_2003-11-30_final
2004-01-01 10:22:10	ga_ls7e_ard_3-0-0_102081_2004-01-01_final
2004-01-16 09:38:56	ga_ls7e_ard_3-0-0_095081_2004-01-16_final
2004-08-06 10:54:21	ga_ls7e_ard_3-0-0_108069_2004-08-06_final
2005-03-20 10:45:17	ga_ls7e_ard_3-1-0_106075_2005-03-20_final
2005-05-10 11:15:18	ga_ls7e_ard_3-0-0_111073_2005-05-10_final
2005-05-26 09:34:00	ga_ls7e_ard_3-0-0_095067_2005-05-26_final
2005-12-10 10:39:01	ga_ls7e_ard_3-0-0_105075_2005-12-10_final
2006-01-26 11:34:59	ga_ls7e_ard_3-0-0_114075_2006-01-26_final
2006-02-21 10:30:30	ga_ls7e_ard_3-0-0_104068_2006-02-21_final
2006-09-14 10:03:04	ga_ls7e_ard_3-0-0_099078_2006-09-14_final
2006-11-22 10:23:16	ga_ls7e_ard_3-0-0_102081_2006-11-22_final
2007-02-16 09:41:01	ga_ls7e_ard_3-0-0_096067_2007-02-16_final
2007-03-05 10:29:56	ga_ls7e_ard_3-0-0_103081_2007-03-05_final
2007-04-15 10:23:46	ga_ls7e_ard_3-0-0_102081_2007-04-15_final
2007-05-19 10:09:38	ga_ls7e_ard_3-0-0_100077_2007-05-19_final
2007-08-07 10:09:23	ga_ls7e_ard_3-0-0_100077_2007-08-07_final
2007-12-16 10:40:07	ga_ls7e_ard_3-0-0_105076_2007-12-16_final
2008-03-11 10:00:51	ga_ls7e_ard_3-0-0_099071_2008-03-11_final
2008-09-08 10:22:14	ga_ls7e_ard_3-0-0_102081_2008-09-08_final
2009-04-07 10:52:04	ga_ls7e_ard_3-0-0_107075_2009-04-07_final
2009-04-15 10:03:52	ga_ls7e_ard_3-0-0_099078_2009-04-15_final
2010-05-01 11:09:18	ga_ls7e_ard_3-0-0_110067_2010-05-01_final
2010-11-01 10:21:00	ga_ls7e_ard_3-0-0_102069_2010-11-01_final
2011-10-01 10:38:52	ga_ls7e_ard_3-0-0_104081_2011-10-01_final
2012-12-24 10:25:24	ga_ls7e_ard_3-0-0_102071_2012-12-24_final
2013-06-06 10:05:25	ga_ls7e_ard_3-0-0_098084_2013-06-06_final
2014-12-02 11:40:12	ga_ls7e_ard_3-0-0_114067_2014-12-02_final
2015-11-09 11:08:32	ga_ls7e_ard_3-0-0_108075_2015-11-09_final
2016-07-03 10:42:00	ga_ls7e_ard_3-0-0_103081_2016-07-03_final
2016-09-13 09:49:54	ga_ls7e_ard_3-0-0_095074_2016-09-13_final
2016-11-16 11:28:13	ga_ls7e_ard_3-0-0_111073_2016-11-16_final
2018-07-18 10:32:20	ga_ls7e_ard_3-0-0_102081_2018-07-18_final
2019-02-10 09:38:24	ga_ls7e_ard_3-0-0_095067_2019-02-10_final
2019-06-12 10:17:12	ga_ls7e_ard_3-0-0_101082_2019-06-12_final
2019-08-08 10:06:49	ga_ls7e_ard_3-0-0_100077_2019-08-08_final
2019-12-20 11:05:25	ga_ls7e_ard_3-1-0_110084_2019-12-20_final
2020-02-25 09:47:14	ga_ls7e_ard_3-1-0_099067_2020-02-25_final
2020-08-28 09:30:27	ga_ls7e_ard_3-1-0_098068_2020-08-28_final
2020-10-13 09:43:25	ga_ls7e_ard_3-1-0_100077_2020-10-13_final
2021-07-12 09:22:27	ga_ls7e_ard_3-2-0_100077_2021-07-11_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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