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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

67 results

Time (local)	Label
1999-12-12 10:30:47	ga_ls7e_ard_3-0-0_103077_1999-12-12_final
2000-06-27 11:33:44	ga_ls7e_ard_3-0-0_113083_2000-06-27_final
2000-07-31 11:17:16	ga_ls7e_ard_3-0-0_111074_2000-07-31_final
2001-03-29 10:19:01	ga_ls7e_ard_3-0-0_102070_2001-03-29_final
2002-02-24 10:44:30	ga_ls7e_ard_3-1-0_106075_2002-02-24_final
2002-04-12 09:57:57	ga_ls7e_ard_3-0-0_099067_2002-04-12_final
2002-11-26 11:13:53	ga_ls7e_ard_3-0-0_111073_2002-11-26_final
2003-11-26 10:42:16	ga_ls7e_ard_3-0-0_106070_2003-11-26_final
2004-03-11 09:39:49	ga_ls7e_ard_3-0-0_096067_2004-03-11_final
2004-04-23 11:03:15	ga_ls7e_ard_3-0-0_109075_2004-04-23_final
2004-05-25 11:02:53	ga_ls7e_ard_3-0-0_109074_2004-05-25_final
2005-02-05 11:03:38	ga_ls7e_ard_3-0-0_109075_2005-02-05_final
2005-03-01 10:17:09	ga_ls7e_ard_3-0-0_101082_2005-03-01_final
2005-06-01 10:39:21	ga_ls7e_ard_3-0-0_105076_2005-06-01_final
2005-06-13 11:03:35	ga_ls7e_ard_3-0-0_109075_2005-06-13_final
2005-11-29 09:23:25	ga_ls7e_ard_3-0-0_092087_2005-11-28_final
2005-12-13 09:35:26	ga_ls7e_ard_3-0-0_094086_2005-12-13_final
2006-02-26 09:18:09	ga_ls7e_ard_3-0-0_091088_2006-02-25_final
2006-06-23 11:10:15	ga_ls7e_ard_3-0-0_110075_2006-06-23_final
2006-12-01 10:14:22	ga_ls7e_ard_3-0-0_101074_2006-12-01_final
2007-07-11 10:24:28	ga_ls7e_ard_3-0-0_103068_2007-07-11_final
2007-07-31 10:05:15	ga_ls7e_ard_3-0-0_099082_2007-07-31_final
2007-08-31 09:22:34	ga_ls7e_ard_3-0-0_092084_2007-08-30_final
2008-01-13 09:30:47	ga_ls7e_ard_3-0-0_093088_2008-01-13_final
2008-03-01 11:04:19	ga_ls7e_ard_3-0-0_109075_2008-03-01_final
2008-07-03 09:52:42	ga_ls7e_ard_3-0-0_097083_2008-07-03_final
2008-07-17 10:05:17	ga_ls7e_ard_3-0-0_099084_2008-07-17_final
2008-10-29 10:53:52	ga_ls7e_ard_3-0-0_107083_2008-10-29_final
2009-02-19 09:54:29	ga_ls7e_ard_3-0-0_098071_2009-02-19_final
2009-10-23 10:56:13	ga_ls7e_ard_3-0-0_108070_2009-10-23_final
2009-12-10 09:23:57	ga_ls7e_ard_3-0-0_092085_2009-12-09_final
2010-01-13 10:48:40	ga_ls7e_ard_3-0-0_106079_2010-01-13_final
2010-02-20 10:09:16	ga_ls7e_ard_3-0-0_100072_2010-02-20_final
2010-05-14 10:41:56	ga_ls7e_ard_3-0-0_105076_2010-05-14_final
2010-11-13 09:15:23	ga_ls7e_ard_3-0-0_090090_2010-11-12_final
2010-12-09 09:45:34	ga_ls7e_ard_3-0-0_096072_2010-12-09_final
2011-03-04 10:04:16	ga_ls7e_ard_3-0-0_099071_2011-03-04_final
2011-03-19 09:23:01	ga_ls7e_ard_3-0-0_092076_2011-03-18_final
2011-04-19 10:21:04	ga_ls7e_ard_3-0-0_101082_2011-04-19_final
2011-09-22 10:43:04	ga_ls7e_ard_3-0-0_105076_2011-09-22_final
2011-11-21 09:30:53	ga_ls7e_ard_3-0-0_093080_2011-11-21_final
2012-06-08 10:21:49	ga_ls7e_ard_3-0-0_101082_2012-06-08_final
2012-08-29 10:08:22	ga_ls7e_ard_3-0-0_099077_2012-08-29_final
2012-09-09 09:53:34	ga_ls7e_ard_3-1-0_096086_2012-09-09_final
2012-11-05 11:25:55	ga_ls7e_ard_3-0-0_111084_2012-11-05_final
2013-04-09 09:25:30	ga_ls7e_ard_3-0-0_092076_2013-04-08_final
2013-08-01 09:17:32	ga_ls7e_ard_3-0-0_090089_2013-07-31_final
2015-07-07 11:41:44	ga_ls7e_ard_3-0-0_113083_2015-07-07_final
2015-11-14 11:26:23	ga_ls7e_ard_3-0-0_111073_2015-11-14_final
2016-04-13 11:31:43	ga_ls7e_ard_3-0-0_112067_2016-04-13_final
2016-08-10 11:44:40	ga_ls7e_ard_3-0-0_113083_2016-08-10_final
2017-12-11 09:15:43	ga_ls7e_ard_3-0-0_089082_2017-12-10_final
2017-12-30 11:22:06	ga_ls7e_ard_3-0-0_110074_2017-12-30_final
2018-02-07 11:24:53	ga_ls7e_ard_3-0-0_111067_2018-02-07_final
2018-06-21 10:49:24	ga_ls7e_ard_3-0-0_105076_2018-06-21_final
2018-10-10 11:39:09	ga_ls7e_ard_3-0-0_114067_2018-10-10_final
2019-01-24 10:40:07	ga_ls7e_ard_3-0-0_104081_2019-01-24_final
2019-02-01 09:51:37	ga_ls7e_ard_3-0-0_096084_2019-02-01_final
2019-02-15 10:03:10	ga_ls7e_ard_3-0-0_098083_2019-02-15_final
2019-08-09 10:52:02	ga_ls7e_ard_3-0-0_107082_2019-08-09_final
2019-10-04 09:55:00	ga_ls7e_ard_3-1-0_099069_2019-10-04_final
2020-02-22 11:00:57	ga_ls7e_ard_3-1-0_110081_2020-02-22_final
2020-08-09 09:03:10	ga_ls7e_ard_3-1-0_093074_2020-08-08_final
2020-09-20 09:38:42	ga_ls7e_ard_3-1-0_099077_2020-09-20_final
2021-02-26 08:49:03	ga_ls7e_ard_3-2-0_092089_2021-02-25_final
2021-05-22 08:59:24	ga_ls7e_ard_3-2-0_095086_2021-05-21_final
2022-02-01 09:26:00	ga_ls7e_ard_3-2-1_104071_2022-01-31_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