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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

63 results

Time (local)	Label
2000-04-03 11:12:23	ga_ls7e_ard_3-0-0_110074_2000-04-03_final
2000-05-18 10:38:42	ga_ls7e_ard_3-0-0_105068_2000-05-18_final
2000-06-07 10:17:43	ga_ls7e_ard_3-0-0_101078_2000-06-07_final
2000-09-29 10:00:46	ga_ls7e_ard_3-0-0_099070_2000-09-29_final
2000-09-30 10:46:02	ga_ls7e_ard_3-1-0_106075_2000-09-30_final
2000-10-15 11:41:18	ga_ls7e_ard_3-0-0_115075_2000-10-15_final
2000-11-15 09:24:35	ga_ls7e_ard_3-0-0_092088_2000-11-14_final
2001-09-18 09:48:01	ga_ls7e_ard_3-0-0_097074_2001-09-18_final
2002-01-15 09:58:06	ga_ls7e_ard_3-0-0_098083_2002-01-15_final
2002-07-29 10:28:05	ga_ls7e_ard_3-0-0_103082_2002-07-29_final
2002-11-06 10:01:24	ga_ls7e_ard_3-0-0_099078_2002-11-06_final
2003-02-12 09:52:14	ga_ls7e_ard_3-0-0_097084_2003-02-12_final
2003-03-13 09:23:23	ga_ls7e_ard_3-0-0_092089_2003-03-12_final
2003-11-29 11:13:57	ga_ls7e_ard_3-0-0_111072_2003-11-29_final
2004-05-23 11:17:39	ga_ls7e_ard_3-0-0_111080_2004-05-23_final
2004-09-23 10:58:57	ga_ls7e_ard_3-0-0_108081_2004-09-23_final
2004-09-24 11:41:01	ga_ls7e_ard_3-0-0_115078_2004-09-24_final
2004-10-07 11:08:47	ga_ls7e_ard_3-0-0_110075_2004-10-07_final
2005-04-02 10:17:32	ga_ls7e_ard_3-0-0_101083_2005-04-02_final
2005-06-15 09:17:07	ga_ls7e_ard_3-0-0_091087_2005-06-14_final
2005-12-16 11:42:01	ga_ls7e_ard_3-0-0_115078_2005-12-16_final
2005-12-19 08:56:21	ga_ls7e_ard_3-0-0_088081_2005-12-18_final
2007-01-09 10:19:29	ga_ls7e_ard_3-0-0_102071_2007-01-09_final
2007-02-04 09:24:36	ga_ls7e_ard_3-0-0_092088_2007-02-03_final
2007-06-12 10:56:13	ga_ls7e_ard_3-0-0_108070_2007-06-12_final
2007-07-31 10:05:15	ga_ls7e_ard_3-0-0_099082_2007-07-31_final
2007-11-26 09:22:15	ga_ls7e_ard_3-0-0_093067_2007-11-25_final
2008-03-16 10:23:47	ga_ls7e_ard_3-0-0_102082_2008-03-16_final
2008-04-11 09:23:59	ga_ls7e_ard_3-0-0_092087_2008-04-10_final
2008-05-28 10:15:47	ga_ls7e_ard_3-0-0_101078_2008-05-28_final
2008-12-20 10:23:47	ga_ls7e_ard_3-0-0_103068_2008-12-20_final
2009-03-24 09:04:20	ga_ls7e_ard_3-0-0_089084_2009-03-23_final
2009-05-17 10:03:57	ga_ls7e_ard_3-0-0_099078_2009-05-17_final
2009-09-19 09:35:34	ga_ls7e_ard_3-0-0_094085_2009-09-19_final
2010-02-20 10:13:39	ga_ls7e_ard_3-0-0_100083_2010-02-20_final
2010-03-07 09:29:19	ga_ls7e_ard_3-0-0_093080_2010-03-06_final
2010-06-19 10:17:38	ga_ls7e_ard_3-0-0_101077_2010-06-19_final
2010-11-30 11:32:32	ga_ls7e_ard_3-0-0_113077_2010-11-30_final
2011-01-09 09:09:45	ga_ls7e_ard_3-0-0_089090_2011-01-08_final
2011-01-30 11:03:43	ga_ls7e_ard_3-0-0_108081_2011-01-30_final
2011-06-17 11:35:25	ga_ls7e_ard_3-0-0_114067_2011-06-17_final
2011-06-30 11:10:26	ga_ls7e_ard_3-0-0_109082_2011-06-30_final
2011-07-30 11:23:09	ga_ls7e_ard_3-0-0_111083_2011-07-30_final
2011-09-28 10:07:09	ga_ls7e_ard_3-0-0_099079_2011-09-28_final
2012-08-31 09:53:15	ga_ls7e_ard_3-0-0_097070_2012-08-31_final
2012-09-16 11:35:05	ga_ls7e_ard_3-0-0_113077_2012-09-16_final
2013-01-20 10:09:17	ga_ls7e_ard_3-0-0_099077_2013-01-20_final
2013-05-11 11:07:00	ga_ls7e_ard_3-0-0_108083_2013-05-11_final
2013-08-04 11:18:57	ga_ls7e_ard_3-0-0_111068_2013-08-04_final
2015-12-11 09:30:10	ga_ls7e_ard_3-1-0_092075_2015-12-11_final
2015-12-18 09:40:51	ga_ls7e_ard_3-0-0_093086_2015-12-18_final
2016-08-16 11:04:23	ga_ls7e_ard_3-0-0_107075_2016-08-16_final
2016-11-26 10:28:00	ga_ls7e_ard_3-0-0_101077_2016-11-26_final
2017-01-02 10:44:18	ga_ls7e_ard_3-0-0_104072_2017-01-02_final
2017-01-16 09:24:49	ga_ls7e_ard_3-0-0_090090_2017-01-15_final
2018-09-26 11:29:56	ga_ls7e_ard_3-0-0_112074_2018-09-26_final
2018-12-29 11:41:09	ga_ls7e_ard_3-0-0_114077_2018-12-29_final
2019-01-27 11:07:19	ga_ls7e_ard_3-0-0_109072_2019-01-27_final
2020-06-27 09:28:20	ga_ls7e_ard_3-1-0_096084_2020-06-26_final
2020-07-28 10:18:53	ga_ls7e_ard_3-1-0_105076_2020-07-28_final
2021-02-14 10:01:20	ga_ls7e_ard_3-2-0_104082_2021-02-14_final
2021-07-17 09:42:34	ga_ls7e_ard_3-2-0_103082_2021-07-17_final
2022-01-26 08:26:23	ga_ls7e_ard_3-2-1_094075_2022-01-25_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