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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

83 results

Time (local)	Label
1999-11-30 10:03:06	ga_ls7e_ard_3-0-0_099070_1999-11-30_final
2000-06-06 11:12:09	ga_ls7e_ard_3-0-0_110075_2000-06-06_final
2000-09-13 10:00:34	ga_ls7e_ard_3-0-0_099069_2000-09-13_final
2000-09-14 10:46:12	ga_ls7e_ard_3-1-0_106075_2000-09-14_final
2000-09-30 09:07:56	ga_ls7e_ard_3-0-0_090077_2000-09-29_final
2000-10-30 09:24:12	ga_ls7e_ard_3-0-0_092087_2000-10-29_final
2000-11-15 10:58:17	ga_ls7e_ard_3-1-0_108075_2000-11-15_final
2001-01-02 09:20:15	ga_ls7e_ard_3-0-0_092077_2001-01-01_final
2001-03-07 10:57:53	ga_ls7e_ard_3-0-0_108074_2001-03-07_final
2001-07-03 10:22:37	ga_ls7e_ard_3-0-0_102081_2001-07-03_final
2001-09-29 11:11:05	ga_ls7e_ard_3-0-0_110081_2001-09-29_final
2002-08-30 10:22:14	ga_ls7e_ard_3-0-0_103068_2002-08-30_final
2002-12-24 11:39:32	ga_ls7e_ard_3-0-0_115075_2002-12-24_final
2003-07-30 10:38:16	ga_ls7e_ard_3-0-0_105076_2003-07-30_final
2004-01-20 09:16:40	ga_ls7e_ard_3-0-0_091087_2004-01-19_final
2004-05-07 09:38:47	ga_ls7e_ard_3-0-0_095080_2004-05-07_final
2004-05-25 11:06:53	ga_ls7e_ard_3-0-0_109084_2004-05-25_final
2004-11-01 11:02:35	ga_ls7e_ard_3-0-0_109074_2004-11-01_final
2004-11-29 11:24:45	ga_ls7e_ard_3-0-0_113067_2004-11-29_final
2005-04-13 09:53:20	ga_ls7e_ard_3-0-0_098069_2005-04-13_final
2005-09-26 09:20:55	ga_ls7e_ard_3-0-0_092082_2005-09-25_final
2005-10-17 11:15:14	ga_ls7e_ard_3-0-0_111074_2005-10-17_final
2005-10-20 10:09:17	ga_ls7e_ard_3-0-0_100079_2005-10-20_final
2006-01-16 09:23:44	ga_ls7e_ard_3-0-0_092087_2006-01-15_final
2006-05-06 11:10:22	ga_ls7e_ard_3-0-0_110075_2006-05-06_final
2006-11-05 09:39:24	ga_ls7e_ard_3-0-0_095080_2006-11-05_final
2007-04-08 10:17:36	ga_ls7e_ard_3-0-0_101081_2007-04-08_final
2007-04-20 10:40:18	ga_ls7e_ard_3-0-0_105076_2007-04-20_final
2007-05-02 11:04:34	ga_ls7e_ard_3-0-0_109075_2007-05-02_final
2008-05-30 10:03:48	ga_ls7e_ard_3-0-0_099079_2008-05-30_final
2008-06-13 10:17:14	ga_ls7e_ard_3-0-0_101082_2008-06-13_final
2008-11-01 09:45:31	ga_ls7e_ard_3-0-0_096082_2008-11-01_final
2009-01-11 09:51:14	ga_ls7e_ard_3-0-0_097079_2009-01-11_final
2009-02-04 10:38:47	ga_ls7e_ard_3-0-0_105074_2009-02-04_final
2009-03-05 10:11:46	ga_ls7e_ard_3-0-0_100083_2009-03-05_final
2009-03-27 11:07:21	ga_ls7e_ard_3-0-0_110067_2009-03-27_final
2009-07-03 09:22:14	ga_ls7e_ard_3-0-0_092082_2009-07-02_final
2009-07-18 10:14:36	ga_ls7e_ard_3-0-0_101074_2009-07-18_final
2009-08-27 11:04:18	ga_ls7e_ard_3-0-0_109075_2009-08-27_final
2009-10-24 10:00:37	ga_ls7e_ard_3-0-0_099070_2009-10-24_final
2009-12-05 09:07:20	ga_ls7e_ard_3-0-0_089090_2009-12-04_final
2010-03-31 10:19:40	ga_ls7e_ard_3-0-0_101082_2010-03-31_final
2010-08-23 09:26:06	ga_ls7e_ard_3-0-0_092087_2010-08-22_final
2011-02-18 09:51:01	ga_ls7e_ard_3-0-0_097069_2011-02-18_final
2012-01-28 10:40:38	ga_ls7e_ard_3-0-0_105068_2012-01-28_final
2012-06-25 09:27:56	ga_ls7e_ard_3-0-0_092086_2012-06-24_final
2012-08-23 10:41:49	ga_ls7e_ard_3-0-0_105068_2012-08-23_final
2012-09-27 11:15:28	ga_ls7e_ard_3-0-0_110074_2012-09-27_final
2013-02-06 10:49:00	ga_ls7e_ard_3-0-0_106068_2013-02-06_final
2013-04-25 11:07:26	ga_ls7e_ard_3-0-0_108084_2013-04-25_final
2013-05-02 11:09:38	ga_ls7e_ard_3-0-0_109074_2013-05-02_final
2013-07-03 11:23:11	ga_ls7e_ard_3-0-0_111078_2013-07-03_final
2013-09-19 11:31:20	ga_ls7e_ard_3-0-0_113067_2013-09-19_final
2013-10-19 10:06:22	ga_ls7e_ard_3-0-0_099070_2013-10-19_final
2014-01-26 10:37:37	ga_ls7e_ard_3-0-0_104069_2014-01-26_final
2014-08-11 09:20:56	ga_ls7e_ard_3-0-0_091076_2014-08-10_final
2015-03-09 10:50:41	ga_ls7e_ard_3-0-0_105081_2015-03-09_final
2015-03-15 10:09:17	ga_ls7e_ard_3-0-0_099070_2015-03-15_final
2015-09-17 09:12:51	ga_ls7e_ard_3-1-0_089081_2015-09-16_final
2015-11-28 11:43:19	ga_ls7e_ard_3-0-0_113084_2015-11-28_final
2016-01-19 09:33:44	ga_ls7e_ard_3-0-0_093067_2016-01-19_final
2016-03-16 09:36:21	ga_ls7e_ard_3-0-0_092088_2016-03-16_final
2016-04-30 10:38:13	ga_ls7e_ard_3-0-0_103072_2016-04-30_final
2016-05-05 09:24:40	ga_ls7e_ard_3-0-0_090089_2016-05-04_final
2016-05-10 09:42:25	ga_ls7e_ard_3-1-0_093087_2016-05-10_final
2016-05-12 09:27:16	ga_ls7e_ard_3-0-0_091080_2016-05-11_final
2016-09-21 10:37:47	ga_ls7e_ard_3-0-0_103070_2016-09-21_final
2017-03-29 10:12:22	ga_ls7e_ard_3-0-0_098085_2017-03-29_final
2017-05-04 09:43:04	ga_ls7e_ard_3-0-0_094073_2017-05-04_final
2017-08-13 10:03:46	ga_ls7e_ard_3-0-0_097078_2017-08-13_final
2017-10-29 09:31:42	ga_ls7e_ard_3-0-0_092075_2017-10-29_final
2019-02-02 10:30:04	ga_ls7e_ard_3-0-0_103072_2019-02-02_final
2019-04-19 10:55:30	ga_ls7e_ard_3-0-0_107080_2019-04-19_final
2019-04-30 10:37:21	ga_ls7e_ard_3-0-0_104082_2019-04-30_final
2019-11-09 11:06:48	ga_ls7e_ard_3-1-0_111067_2019-11-09_final
2019-12-07 09:52:06	ga_ls7e_ard_3-1-0_099069_2019-12-07_final
2020-01-23 10:50:32	ga_ls7e_ard_3-1-0_108082_2020-01-23_final
2020-02-08 10:48:32	ga_ls7e_ard_3-1-0_108079_2020-02-08_final
2020-03-09 10:54:31	ga_ls7e_ard_3-1-0_110067_2020-03-09_final
2020-05-04 10:04:15	ga_ls7e_ard_3-1-0_102073_2020-05-04_final
2020-11-18 09:15:04	ga_ls7e_ard_3-1-0_096074_2020-11-17_final
2021-02-12 10:08:15	ga_ls7e_ard_3-2-0_106068_2021-02-12_final
2022-03-04 08:40:04	ga_ls7e_ard_3-2-1_097072_2022-03-03_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