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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

71 results

Time (local)	Label
2000-04-26 11:18:00	ga_ls7e_ard_3-0-0_111073_2000-04-26_final
2000-07-27 11:42:24	ga_ls7e_ard_3-0-0_115075_2000-07-27_final
2000-11-16 10:03:27	ga_ls7e_ard_3-0-0_099077_2000-11-16_final
2001-02-20 10:03:31	ga_ls7e_ard_3-0-0_099077_2001-02-20_final
2002-04-28 10:01:56	ga_ls7e_ard_3-0-0_099077_2002-04-28_final
2002-07-28 11:17:43	ga_ls7e_ard_3-0-0_112067_2002-07-28_final
2003-09-26 09:32:36	ga_ls7e_ard_3-0-0_095067_2003-09-26_final
2003-10-20 10:24:07	ga_ls7e_ard_3-0-0_103072_2003-10-20_final
2004-01-09 11:08:49	ga_ls7e_ard_3-0-0_110074_2004-01-09_final
2004-03-16 09:59:59	ga_ls7e_ard_3-0-0_099071_2004-03-16_final
2004-04-05 09:33:39	ga_ls7e_ard_3-0-0_095067_2004-04-05_final
2004-05-19 10:02:18	ga_ls7e_ard_3-0-0_099077_2004-05-19_final
2004-06-04 11:41:31	ga_ls7e_ard_3-0-0_115078_2004-06-04_final
2004-06-19 09:22:52	ga_ls7e_ard_3-0-0_092087_2004-06-18_final
2004-07-16 10:41:10	ga_ls7e_ard_3-0-0_105082_2004-07-16_final
2004-07-22 10:02:27	ga_ls7e_ard_3-0-0_099078_2004-07-22_final
2004-11-23 10:24:04	ga_ls7e_ard_3-0-0_103070_2004-11-23_final
2005-02-20 10:22:53	ga_ls7e_ard_3-0-0_102081_2005-02-20_final
2005-06-23 09:59:45	ga_ls7e_ard_3-0-0_099070_2005-06-23_final
2005-06-25 09:51:46	ga_ls7e_ard_3-0-0_097081_2005-06-25_final
2005-09-12 10:45:03	ga_ls7e_ard_3-0-0_106076_2005-09-12_final
2005-12-26 10:39:30	ga_ls7e_ard_3-0-0_105076_2005-12-26_final
2006-01-18 10:42:42	ga_ls7e_ard_3-0-0_106068_2006-01-18_final
2006-04-01 09:06:11	ga_ls7e_ard_3-0-0_089089_2006-03-31_final
2006-11-22 10:23:16	ga_ls7e_ard_3-0-0_102081_2006-11-22_final
2007-01-27 10:07:12	ga_ls7e_ard_3-0-0_100071_2007-01-27_final
2007-01-30 10:40:07	ga_ls7e_ard_3-0-0_105076_2007-01-30_final
2007-05-22 09:02:26	ga_ls7e_ard_3-0-0_089079_2007-05-21_final
2007-06-17 11:15:09	ga_ls7e_ard_3-0-0_111071_2007-06-17_final
2007-11-03 10:59:09	ga_ls7e_ard_3-0-0_108078_2007-11-03_final
2008-05-30 10:03:00	ga_ls7e_ard_3-0-0_099077_2008-05-30_final
2009-03-30 10:00:59	ga_ls7e_ard_3-0-0_099071_2009-03-30_final
2009-06-29 11:19:52	ga_ls7e_ard_3-0-0_112067_2009-06-29_final
2011-01-20 10:26:35	ga_ls7e_ard_3-0-0_102081_2011-01-20_final
2011-01-24 11:37:59	ga_ls7e_ard_3-0-0_114074_2011-01-24_final
2011-03-20 10:03:29	ga_ls7e_ard_3-0-0_099069_2011-03-20_final
2011-06-28 09:37:56	ga_ls7e_ard_3-0-0_095067_2011-06-28_final
2011-09-09 09:38:43	ga_ls7e_ard_3-0-0_094085_2011-09-09_final
2011-12-10 10:03:31	ga_ls7e_ard_3-0-0_098084_2011-12-10_final
2011-12-11 09:05:06	ga_ls7e_ard_3-0-0_089077_2011-12-10_final
2011-12-28 09:45:45	ga_ls7e_ard_3-0-0_096070_2011-12-28_final
2012-01-02 10:04:20	ga_ls7e_ard_3-0-0_099070_2012-01-02_final
2012-02-29 10:43:08	ga_ls7e_ard_3-0-0_105074_2012-02-29_final
2012-07-28 10:08:02	ga_ls7e_ard_3-0-0_099077_2012-07-28_final
2013-02-08 09:03:21	ga_ls7e_ard_3-0-0_088082_2013-02-07_final
2013-05-26 10:21:42	ga_ls7e_ard_3-0-0_101078_2013-05-26_final
2014-03-19 10:13:48	ga_ls7e_ard_3-0-0_100071_2014-03-19_final
2014-07-19 10:53:07	ga_ls7e_ard_3-1-0_106075_2014-07-19_final
2015-03-03 11:22:10	ga_ls7e_ard_3-0-0_111067_2015-03-03_final
2015-06-24 10:32:28	ga_ls7e_ard_3-0-0_102080_2015-06-24_final
2016-09-09 11:55:06	ga_ls7e_ard_3-0-0_115078_2016-09-09_final
2016-10-17 09:40:46	ga_ls7e_ard_3-0-0_093082_2016-10-17_final
2017-01-24 10:06:35	ga_ls7e_ard_3-0-0_098071_2017-01-24_final
2017-02-20 11:27:17	ga_ls7e_ard_3-0-0_111072_2017-02-20_final
2017-09-25 11:25:41	ga_ls7e_ard_3-0-0_110082_2017-09-25_final
2018-01-07 10:30:33	ga_ls7e_ard_3-0-0_102069_2018-01-07_final
2018-03-01 09:16:17	ga_ls7e_ard_3-0-0_089086_2018-02-28_final
2018-07-02 10:27:27	ga_ls7e_ard_3-0-0_102068_2018-07-02_final
2018-10-19 10:00:40	ga_ls7e_ard_3-0-0_097084_2018-10-19_final
2019-03-25 09:26:52	ga_ls7e_ard_3-1-0_092088_2019-03-24_final
2019-05-27 10:17:46	ga_ls7e_ard_3-0-0_101082_2019-05-27_final
2020-05-28 09:18:32	ga_ls7e_ard_3-1-0_094086_2020-05-27_final
2020-06-17 08:54:15	ga_ls7e_ard_3-1-0_090090_2020-06-16_final
2020-07-16 09:57:42	ga_ls7e_ard_3-1-0_101083_2020-07-16_final
2020-11-15 10:21:40	ga_ls7e_ard_3-1-0_107070_2020-11-15_final
2021-02-02 09:35:06	ga_ls7e_ard_3-2-0_100076_2021-02-02_final
2021-03-08 09:18:34	ga_ls7e_ard_3-2-0_098072_2021-03-07_final
2021-06-13 09:54:35	ga_ls7e_ard_3-2-0_105074_2021-06-13_final
2021-06-20 08:27:41	ga_ls7e_ard_3-2-0_090090_2021-06-19_final
2021-11-04 08:04:42	ga_ls7e_ard_3-2-0_089078_2021-11-03_final
2022-01-14 08:03:38	ga_ls7e_ard_3-2-1_090077_2022-01-13_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