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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

74 results

Time (local)	Label
2000-01-14 11:13:08	ga_ls7e_ard_3-0-0_110075_2000-01-14_final
2000-11-13 09:28:34	ga_ls7e_ard_3-1-0_094067_2000-11-12_final
2000-11-16 10:01:04	ga_ls7e_ard_3-0-0_099071_2000-11-16_final
2001-09-01 09:09:22	ga_ls7e_ard_3-1-0_090085_2001-08-31_final
2002-08-18 10:01:40	ga_ls7e_ard_3-0-0_099078_2002-08-18_final
2003-05-17 10:02:37	ga_ls7e_ard_3-0-0_099079_2003-05-17_final
2003-09-28 09:28:13	ga_ls7e_ard_3-1-0_093087_2003-09-27_final
2003-12-08 11:12:37	ga_ls7e_ard_3-0-0_110084_2003-12-08_final
2004-03-17 10:44:51	ga_ls7e_ard_3-1-0_106075_2004-03-17_final
2004-03-25 09:53:49	ga_ls7e_ard_3-0-0_098071_2004-03-25_final
2004-07-29 10:08:34	ga_ls7e_ard_3-0-0_100078_2004-07-29_final
2004-10-07 11:08:24	ga_ls7e_ard_3-0-0_110074_2004-10-07_final
2004-10-21 09:46:29	ga_ls7e_ard_3-0-0_096085_2004-10-21_final
2005-03-04 10:45:40	ga_ls7e_ard_3-0-0_106076_2005-03-04_final
2005-04-04 10:00:22	ga_ls7e_ard_3-0-0_099071_2005-04-04_final
2005-05-16 10:39:01	ga_ls7e_ard_3-0-0_105075_2005-05-16_final
2005-08-05 11:18:51	ga_ls7e_ard_3-0-0_112067_2005-08-05_final
2005-10-07 09:01:54	ga_ls7e_ard_3-1-0_089081_2005-10-06_final
2005-12-25 09:56:37	ga_ls7e_ard_3-0-0_098077_2005-12-25_final
2006-01-16 09:22:32	ga_ls7e_ard_3-0-0_092084_2006-01-15_final
2006-01-27 10:39:22	ga_ls7e_ard_3-0-0_105075_2006-01-27_final
2006-02-03 10:46:47	ga_ls7e_ard_3-0-0_106078_2006-02-03_final
2006-02-11 09:59:47	ga_ls7e_ard_3-0-0_098084_2006-02-11_final
2006-07-18 09:26:36	ga_ls7e_ard_3-0-0_093079_2006-07-17_final
2006-10-08 10:51:07	ga_ls7e_ard_3-0-0_107075_2006-10-08_final
2007-01-28 10:50:05	ga_ls7e_ard_3-0-0_107070_2007-01-28_final
2007-06-21 09:17:56	ga_ls7e_ard_3-0-0_091087_2007-06-20_final
2007-11-18 10:18:01	ga_ls7e_ard_3-0-0_101083_2007-11-18_final
2008-07-08 10:06:47	ga_ls7e_ard_3-0-0_100072_2008-07-08_final
2008-08-22 11:14:00	ga_ls7e_ard_3-0-0_111071_2008-08-22_final
2008-10-05 10:00:14	ga_ls7e_ard_3-0-0_099073_2008-10-05_final
2008-12-24 09:59:54	ga_ls7e_ard_3-0-0_099070_2008-12-24_final
2009-01-27 11:31:24	ga_ls7e_ard_3-0-0_113082_2009-01-27_final
2009-02-15 10:17:58	ga_ls7e_ard_3-0-0_102068_2009-02-15_final
2009-05-27 09:02:10	ga_ls7e_ard_3-0-0_089078_2009-05-26_final
2009-10-24 10:00:37	ga_ls7e_ard_3-0-0_099070_2009-10-24_final
2010-02-21 10:55:20	ga_ls7e_ard_3-0-0_107079_2010-02-21_final
2010-06-18 09:32:46	ga_ls7e_ard_3-0-0_094073_2010-06-18_final
2010-11-29 10:46:52	ga_ls7e_ard_3-0-0_106071_2010-11-29_final
2010-12-31 10:45:57	ga_ls7e_ard_3-0-0_106068_2010-12-31_final
2011-01-25 09:05:04	ga_ls7e_ard_3-0-0_089078_2011-01-24_final
2011-03-19 09:23:01	ga_ls7e_ard_3-0-0_092076_2011-03-18_final
2011-06-18 09:05:41	ga_ls7e_ard_3-0-0_089079_2011-06-17_final
2011-09-16 09:39:41	ga_ls7e_ard_3-0-0_095072_2011-09-16_final
2011-12-28 11:28:38	ga_ls7e_ard_3-0-0_112080_2011-12-28_final
2012-01-24 09:34:25	ga_ls7e_ard_3-0-0_093088_2012-01-24_final
2012-12-29 10:43:34	ga_ls7e_ard_3-0-0_105070_2012-12-29_final
2013-09-08 10:15:16	ga_ls7e_ard_3-0-0_100078_2013-09-08_final
2014-02-17 10:06:27	ga_ls7e_ard_3-0-0_098084_2014-02-17_final
2014-11-24 10:51:05	ga_ls7e_ard_3-0-0_106068_2014-11-24_final
2015-05-18 10:12:34	ga_ls7e_ard_3-0-0_099077_2015-05-18_final
2015-12-22 10:47:53	ga_ls7e_ard_3-0-0_105068_2015-12-22_final
2016-02-21 10:21:10	ga_ls7e_ard_3-0-0_100077_2016-02-21_final
2017-02-15 11:08:18	ga_ls7e_ard_3-0-0_108071_2017-02-15_final
2017-06-15 10:21:55	ga_ls7e_ard_3-0-0_100077_2017-06-15_final
2018-01-22 11:26:45	ga_ls7e_ard_3-0-0_111071_2018-01-22_final
2018-03-01 10:47:59	ga_ls7e_ard_3-0-0_105068_2018-03-01_final
2018-04-25 10:56:33	ga_ls7e_ard_3-0-0_106076_2018-04-25_final
2018-05-04 09:11:43	ga_ls7e_ard_3-0-0_089077_2018-05-03_final
2018-05-24 10:23:10	ga_ls7e_ard_3-0-0_101071_2018-05-24_final
2018-12-29 09:59:52	ga_ls7e_ard_3-0-0_098071_2018-12-29_final
2019-01-28 10:13:40	ga_ls7e_ard_3-0-0_100077_2019-01-28_final
2019-04-19 10:55:30	ga_ls7e_ard_3-0-0_107080_2019-04-19_final
2019-09-15 11:06:11	ga_ls7e_ard_3-1-0_110075_2019-09-15_final
2020-03-05 09:41:46	ga_ls7e_ard_3-1-0_098070_2020-03-05_final
2020-03-07 09:28:06	ga_ls7e_ard_3-1-0_096067_2020-03-06_final
2020-11-20 10:39:51	ga_ls7e_ard_3-1-0_110070_2020-11-20_final
2021-02-01 10:33:59	ga_ls7e_ard_3-2-0_109084_2021-02-01_final
2021-02-14 10:01:20	ga_ls7e_ard_3-2-0_104082_2021-02-14_final
2021-03-03 10:39:18	ga_ls7e_ard_3-2-0_111072_2021-03-03_final
2021-05-06 10:38:50	ga_ls7e_ard_3-2-0_111084_2021-05-06_final
2021-06-25 10:18:42	ga_ls7e_ard_3-2-0_109075_2021-06-25_final
2021-09-24 09:52:15	ga_ls7e_ard_3-2-0_106075_2021-09-24_final
2022-01-04 09:09:09	ga_ls7e_ard_3-2-1_100084_2022-01-03_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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