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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
1999-10-13 10:02:32	ga_ls7e_ard_3-0-0_099068_1999-10-13_final
2001-01-03 10:03:06	ga_ls7e_ard_3-0-0_099076_2001-01-03_final
2001-05-10 09:19:03	ga_ls7e_ard_3-0-0_092075_2001-05-09_final
2002-01-25 10:32:05	ga_ls7e_ard_3-0-0_104075_2002-01-25_final
2002-03-02 10:07:52	ga_ls7e_ard_3-0-0_100076_2002-03-02_final
2002-03-21 09:03:17	ga_ls7e_ard_3-0-0_089085_2002-03-20_final
2003-02-19 09:52:49	ga_ls7e_ard_3-0-0_098070_2003-02-19_final
2004-09-26 11:24:15	ga_ls7e_ard_3-0-0_113067_2004-09-26_final
2004-11-23 10:24:52	ga_ls7e_ard_3-0-0_103072_2004-11-23_final
2005-03-15 10:29:08	ga_ls7e_ard_3-0-0_103081_2005-03-15_final
2005-04-14 10:40:58	ga_ls7e_ard_3-1-0_105080_2005-04-14_final
2005-05-12 11:07:20	ga_ls7e_ard_3-1-0_109084_2005-05-12_final
2005-06-07 10:03:26	ga_ls7e_ard_3-0-0_099079_2005-06-07_final
2005-06-08 10:45:29	ga_ls7e_ard_3-0-0_106076_2005-06-08_final
2005-10-20 10:06:30	ga_ls7e_ard_3-0-0_100072_2005-10-20_final
2006-05-05 10:27:54	ga_ls7e_ard_3-0-0_103077_2006-05-05_final
2006-08-07 10:39:29	ga_ls7e_ard_3-0-0_105076_2006-08-07_final
2006-11-05 11:16:41	ga_ls7e_ard_3-0-0_111076_2006-11-05_final
2007-01-24 09:42:16	ga_ls7e_ard_3-0-0_095086_2007-01-24_final
2007-02-28 10:07:23	ga_ls7e_ard_3-0-0_100071_2007-02-28_final
2007-10-23 09:36:41	ga_ls7e_ard_3-1-0_095073_2007-10-23_final
2008-03-21 10:36:45	ga_ls7e_ard_3-0-0_105068_2008-03-21_final
2008-04-07 09:47:31	ga_ls7e_ard_3-0-0_096084_2008-04-07_final
2008-08-23 10:22:22	ga_ls7e_ard_3-0-0_102081_2008-08-23_final
2008-10-04 09:22:34	ga_ls7e_ard_3-0-0_092087_2008-10-03_final
2008-10-13 10:49:12	ga_ls7e_ard_3-0-0_107072_2008-10-13_final
2008-11-19 09:33:01	ga_ls7e_ard_3-0-0_094081_2008-11-19_final
2009-02-22 10:27:49	ga_ls7e_ard_3-0-0_103077_2009-02-22_final
2009-09-21 09:22:24	ga_ls7e_ard_3-0-0_092083_2009-09-20_final
2010-02-06 09:56:21	ga_ls7e_ard_3-0-0_098071_2010-02-06_final
2010-03-09 09:18:10	ga_ls7e_ard_3-0-0_091083_2010-03-08_final
2010-05-26 11:08:38	ga_ls7e_ard_3-1-0_109081_2010-05-26_final
2010-09-04 09:48:27	ga_ls7e_ard_3-0-0_096081_2010-09-04_final
2010-11-21 09:59:44	ga_ls7e_ard_3-0-0_098077_2010-11-21_final
2011-02-08 09:17:06	ga_ls7e_ard_3-0-0_091077_2011-02-07_final
2011-04-12 10:11:43	ga_ls7e_ard_3-0-0_100074_2011-04-12_final
2012-01-05 09:01:09	ga_ls7e_ard_3-0-0_088082_2012-01-04_final
2012-01-22 11:19:41	ga_ls7e_ard_3-0-0_111073_2012-01-22_final
2012-08-26 11:18:20	ga_ls7e_ard_3-0-0_110082_2012-08-26_final
2012-11-03 09:59:47	ga_ls7e_ard_3-0-0_097085_2012-11-03_final
2012-12-02 11:01:55	ga_ls7e_ard_3-0-0_108070_2012-12-02_final
2013-02-16 11:28:28	ga_ls7e_ard_3-0-0_112074_2013-02-16_final
2013-04-28 09:59:52	ga_ls7e_ard_3-0-0_097085_2013-04-28_final
2013-06-29 11:47:09	ga_ls7e_ard_3-0-0_115076_2013-06-29_final
2014-09-25 10:26:13	ga_ls7e_ard_3-0-0_102069_2014-09-25_final
2014-10-31 11:45:10	ga_ls7e_ard_3-0-0_114080_2014-10-31_final
2015-08-10 11:29:30	ga_ls7e_ard_3-0-0_111083_2015-08-10_final
2015-10-30 10:33:41	ga_ls7e_ard_3-0-0_102081_2015-10-30_final
2015-11-26 10:11:11	ga_ls7e_ard_3-0-0_099070_2015-11-26_final
2016-01-12 11:09:32	ga_ls7e_ard_3-0-0_108075_2016-01-12_final
2016-06-19 10:30:02	ga_ls7e_ard_3-0-0_101082_2016-06-19_final
2016-07-08 09:21:39	ga_ls7e_ard_3-0-0_090081_2016-07-07_final
2016-07-24 10:57:23	ga_ls7e_ard_3-0-0_106073_2016-07-24_final
2017-02-20 11:25:18	ga_ls7e_ard_3-0-0_111067_2017-02-20_final
2017-06-13 10:35:52	ga_ls7e_ard_3-0-0_102081_2017-06-13_final
2017-07-25 09:34:06	ga_ls7e_ard_3-0-0_092081_2017-07-25_final
2017-12-17 10:12:16	ga_ls7e_ard_3-0-0_099069_2017-12-17_final
2018-02-03 11:54:28	ga_ls7e_ard_3-0-0_115079_2018-02-03_final
2018-05-22 10:39:09	ga_ls7e_ard_3-0-0_103080_2018-05-22_final
2018-09-14 09:31:48	ga_ls7e_ard_3-0-0_092087_2018-09-14_final
2018-09-26 11:29:56	ga_ls7e_ard_3-0-0_112074_2018-09-26_final
2018-11-26 09:24:19	ga_ls7e_ard_3-0-0_091088_2018-11-25_final
2018-12-21 10:53:08	ga_ls7e_ard_3-0-0_106080_2018-12-21_final
2019-05-18 10:23:53	ga_ls7e_ard_3-0-0_102081_2019-05-18_final
2019-12-12 10:13:35	ga_ls7e_ard_3-1-0_102077_2019-12-12_final
2020-03-20 10:40:57	ga_ls7e_ard_3-1-0_107081_2020-03-20_final
2020-06-01 08:53:35	ga_ls7e_ard_3-1-0_090086_2020-05-31_final
2020-07-03 10:26:11	ga_ls7e_ard_3-1-0_106075_2020-07-03_final
2020-08-09 10:42:51	ga_ls7e_ard_3-1-0_109076_2020-08-09_final
2020-09-21 08:47:48	ga_ls7e_ard_3-1-0_090089_2020-09-20_final
2021-03-08 09:18:34	ga_ls7e_ard_3-2-0_098072_2021-03-07_final
2021-07-25 10:27:19	ga_ls7e_ard_3-2-0_111072_2021-07-25_final
2021-11-04 09:42:47	ga_ls7e_ard_3-2-0_105076_2021-11-04_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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