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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

64 results

Time (local)	Label
1999-12-09 10:00:15	ga_ls7e_ard_3-0-0_098078_1999-12-09_final
2000-01-20 09:00:19	ga_ls7e_ard_3-0-0_088083_2000-01-19_final
2000-03-06 09:11:41	ga_ls7e_ard_3-0-0_090081_2000-03-05_final
2001-08-12 09:27:08	ga_ls7e_ard_3-1-0_094067_2001-08-11_final
2001-12-07 09:50:05	ga_ls7e_ard_3-0-0_097079_2001-12-07_final
2002-03-19 10:50:56	ga_ls7e_ard_3-0-0_107076_2002-03-19_final
2003-02-23 11:05:46	ga_ls7e_ard_3-0-0_110067_2003-02-23_final
2003-04-12 09:26:59	ga_ls7e_ard_3-1-0_094067_2003-04-11_final
2003-10-15 10:07:52	ga_ls7e_ard_3-0-0_100078_2003-10-15_final
2004-02-05 10:53:15	ga_ls7e_ard_3-0-0_107081_2004-02-05_final
2004-03-24 10:53:26	ga_ls7e_ard_3-0-0_107081_2004-03-24_final
2004-05-27 10:53:19	ga_ls7e_ard_3-0-0_107081_2004-05-27_final
2004-06-26 11:02:45	ga_ls7e_ard_3-0-0_109074_2004-06-26_final
2004-07-06 11:40:12	ga_ls7e_ard_3-0-0_115075_2004-07-06_final
2004-09-05 09:26:56	ga_ls7e_ard_3-1-0_094067_2004-09-04_final
2004-11-03 09:16:57	ga_ls7e_ard_3-0-0_091088_2004-11-02_final
2004-11-28 10:44:40	ga_ls7e_ard_3-1-0_106075_2004-11-28_final
2005-02-12 09:27:48	ga_ls7e_ard_3-1-0_094067_2005-02-11_final
2005-02-15 10:03:07	ga_ls7e_ard_3-0-0_099078_2005-02-15_final
2005-03-20 09:08:47	ga_ls7e_ard_3-0-0_090081_2005-03-19_final
2005-06-01 10:38:57	ga_ls7e_ard_3-0-0_105075_2005-06-01_final
2005-11-04 11:02:18	ga_ls7e_ard_3-0-0_109072_2005-11-04_final
2005-11-22 10:53:42	ga_ls7e_ard_3-0-0_107081_2005-11-22_final
2005-12-29 09:27:57	ga_ls7e_ard_3-1-0_094067_2005-12-28_final
2006-02-01 10:57:32	ga_ls7e_ard_3-0-0_108074_2006-02-01_final
2006-03-13 10:11:00	ga_ls7e_ard_3-1-0_100081_2006-03-13_final
2006-04-04 09:31:05	ga_ls7e_ard_3-0-0_094074_2006-04-04_final
2006-07-05 09:57:37	ga_ls7e_ard_3-0-0_098079_2006-07-05_final
2006-07-06 10:39:40	ga_ls7e_ard_3-0-0_105076_2006-07-06_final
2006-08-20 10:08:57	ga_ls7e_ard_3-0-0_100077_2006-08-20_final
2006-09-06 10:51:21	ga_ls7e_ard_3-0-0_107075_2006-09-06_final
2006-10-13 09:27:40	ga_ls7e_ard_3-1-0_094067_2006-10-12_final
2006-11-09 10:51:37	ga_ls7e_ard_3-0-0_107075_2006-11-09_final
2007-01-10 09:25:03	ga_ls7e_ard_3-0-0_093074_2007-01-09_final
2008-02-21 09:28:29	ga_ls7e_ard_3-1-0_094067_2008-02-20_final
2008-04-04 10:51:54	ga_ls7e_ard_3-0-0_107075_2008-04-04_final
2008-11-24 11:30:30	ga_ls7e_ard_3-0-0_113081_2008-11-24_final
2009-03-22 10:51:58	ga_ls7e_ard_3-0-0_107075_2009-03-22_final
2009-05-17 10:03:57	ga_ls7e_ard_3-0-0_099078_2009-05-17_final
2010-05-28 10:53:53	ga_ls7e_ard_3-0-0_107075_2010-05-28_final
2010-06-25 09:38:35	ga_ls7e_ard_3-0-0_095072_2010-06-25_final
2010-12-22 10:54:50	ga_ls7e_ard_3-0-0_107075_2010-12-22_final
2011-02-20 09:43:04	ga_ls7e_ard_3-0-0_095080_2011-02-20_final
2011-04-21 10:03:07	ga_ls7e_ard_3-0-0_099068_2011-04-21_final
2011-04-28 10:12:55	ga_ls7e_ard_3-0-0_100077_2011-04-28_final
2012-06-23 09:32:42	ga_ls7e_ard_3-1-0_094067_2012-06-23_final
2013-07-12 09:33:38	ga_ls7e_ard_3-0-0_094067_2013-07-12_final
2014-01-26 10:42:48	ga_ls7e_ard_3-0-0_104082_2014-01-26_final
2016-01-20 10:21:23	ga_ls7e_ard_3-0-0_100078_2016-01-20_final
2017-01-11 10:38:02	ga_ls7e_ard_3-0-0_103072_2017-01-11_final
2017-06-23 09:36:53	ga_ls7e_ard_3-0-0_092088_2017-06-23_final
2018-06-24 09:37:46	ga_ls7e_ard_3-1-0_094067_2018-06-24_final
2018-12-01 09:34:20	ga_ls7e_ard_3-1-0_094067_2018-12-01_final
2019-08-02 10:43:44	ga_ls7e_ard_3-0-0_106076_2019-08-02_final
2019-11-23 09:45:13	ga_ls7e_ard_3-1-0_097081_2019-11-23_final
2020-02-29 09:24:18	ga_ls7e_ard_3-1-0_095072_2020-02-28_final
2020-09-19 08:57:06	ga_ls7e_ard_3-1-0_092081_2020-09-18_final
2020-10-21 10:34:44	ga_ls7e_ard_3-1-0_108083_2020-10-21_final
2021-01-03 09:26:53	ga_ls7e_ard_3-1-0_098081_2021-01-02_final
2021-03-12 08:51:32	ga_ls7e_ard_3-2-0_094067_2021-03-11_final
2021-07-15 09:52:18	ga_ls7e_ard_3-2-0_105075_2021-07-15_final
2021-09-14 09:17:16	ga_ls7e_ard_3-2-0_100078_2021-09-13_final
2022-02-11 08:23:11	ga_ls7e_ard_3-2-1_094071_2022-02-10_final
2022-04-04 07:54:58	ga_ls7e_ard_3-2-1_090075_2022-04-03_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