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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

63 results

Time (local)	Label
1999-08-04 09:05:49	ga_ls7e_ard_3-1-0_089081_1999-08-03_final
2000-01-24 10:11:42	ga_ls7e_ard_3-0-0_100076_2000-01-24_final
2000-04-11 10:20:48	ga_ls7e_ard_3-0-0_102069_2000-04-11_final
2001-11-19 09:58:51	ga_ls7e_ard_3-0-0_099070_2001-11-19_final
2003-08-13 10:48:10	ga_ls7e_ard_3-0-0_107070_2003-08-13_final
2003-09-20 10:16:05	ga_ls7e_ard_3-0-0_101083_2003-09-20_final
2003-10-18 10:37:38	ga_ls7e_ard_3-0-0_105075_2003-10-18_final
2004-02-22 09:54:02	ga_ls7e_ard_3-0-0_098072_2004-02-22_final
2004-04-05 11:19:19	ga_ls7e_ard_3-0-0_111084_2004-04-05_final
2004-10-27 09:06:18	ga_ls7e_ard_3-0-0_090077_2004-10-26_final
2005-01-26 10:29:13	ga_ls7e_ard_3-0-0_103082_2005-01-26_final
2005-02-05 11:04:26	ga_ls7e_ard_3-0-0_109077_2005-02-05_final
2005-02-28 11:09:59	ga_ls7e_ard_3-0-0_110075_2005-02-28_final
2005-03-16 09:30:19	ga_ls7e_ard_3-0-0_094073_2005-03-16_final
2005-03-19 10:00:02	ga_ls7e_ard_3-0-0_099070_2005-03-19_final
2005-04-13 09:56:31	ga_ls7e_ard_3-0-0_098077_2005-04-13_final
2005-05-16 10:39:25	ga_ls7e_ard_3-0-0_105076_2005-05-16_final
2005-07-19 10:36:02	ga_ls7e_ard_3-0-0_105068_2005-07-19_final
2005-09-28 09:06:34	ga_ls7e_ard_3-0-0_090077_2005-09-27_final
2006-03-03 11:13:36	ga_ls7e_ard_3-0-0_110083_2006-03-03_final
2006-04-19 10:29:25	ga_ls7e_ard_3-0-0_103081_2006-04-19_final
2006-07-28 11:42:06	ga_ls7e_ard_3-0-0_115078_2006-07-28_final
2006-08-31 11:32:03	ga_ls7e_ard_3-0-0_113084_2006-08-31_final
2007-11-08 11:15:44	ga_ls7e_ard_3-0-0_111073_2007-11-08_final
2008-02-07 09:23:22	ga_ls7e_ard_3-0-0_092085_2008-02-06_final
2008-02-18 09:06:22	ga_ls7e_ard_3-0-0_089089_2008-02-17_final
2008-03-17 09:25:23	ga_ls7e_ard_3-0-0_093075_2008-03-16_final
2009-01-04 09:47:24	ga_ls7e_ard_3-0-0_096085_2009-01-04_final
2009-02-22 10:24:13	ga_ls7e_ard_3-0-0_103068_2009-02-22_final
2010-03-23 11:05:54	ga_ls7e_ard_3-0-0_109074_2010-03-23_final
2010-05-28 09:20:59	ga_ls7e_ard_3-0-0_091090_2010-05-27_final
2010-11-11 09:25:43	ga_ls7e_ard_3-0-0_092085_2010-11-10_final
2011-04-17 10:33:26	ga_ls7e_ard_3-0-0_103082_2011-04-17_final
2011-09-12 10:03:13	ga_ls7e_ard_3-0-0_099069_2011-09-12_final
2011-09-19 10:13:22	ga_ls7e_ard_3-0-0_100079_2011-09-19_final
2011-11-02 10:36:11	ga_ls7e_ard_3-0-0_104074_2011-11-02_final
2011-11-08 10:02:49	ga_ls7e_ard_3-0-0_098083_2011-11-08_final
2013-01-05 09:14:04	ga_ls7e_ard_3-0-0_090078_2013-01-04_final
2013-10-26 10:12:58	ga_ls7e_ard_3-0-0_100071_2013-10-26_final
2013-12-15 11:38:10	ga_ls7e_ard_3-0-0_114067_2013-12-15_final
2014-06-08 09:26:16	ga_ls7e_ard_3-0-0_091090_2014-06-07_final
2014-07-20 11:36:00	ga_ls7e_ard_3-0-0_113074_2014-07-20_final
2014-12-09 11:51:11	ga_ls7e_ard_3-0-0_115079_2014-12-09_final
2015-08-20 10:25:20	ga_ls7e_ard_3-0-0_101077_2015-08-20_final
2015-11-18 09:28:26	ga_ls7e_ard_3-0-0_091087_2015-11-17_final
2016-04-09 10:21:54	ga_ls7e_ard_3-0-0_100078_2016-04-09_final
2016-10-27 10:11:49	ga_ls7e_ard_3-0-0_099067_2016-10-27_final
2017-01-21 11:15:48	ga_ls7e_ard_3-0-0_109074_2017-01-21_final
2017-04-07 10:00:14	ga_ls7e_ard_3-0-0_097070_2017-04-07_final
2017-05-18 09:57:28	ga_ls7e_ard_3-0-0_096078_2017-05-18_final
2017-06-26 11:41:05	ga_ls7e_ard_3-0-0_113074_2017-06-26_final
2018-06-21 09:14:30	ga_ls7e_ard_3-0-0_089086_2018-06-20_final
2018-11-13 09:53:56	ga_ls7e_ard_3-0-0_096084_2018-11-13_final
2018-12-04 10:05:58	ga_ls7e_ard_3-0-0_099069_2018-12-04_final
2019-01-06 09:12:58	ga_ls7e_ard_3-0-0_090078_2019-01-05_final
2019-03-03 11:35:10	ga_ls7e_ard_3-1-0_114067_2019-03-03_final
2019-09-06 09:38:16	ga_ls7e_ard_3-1-0_095086_2019-09-06_final
2020-08-19 09:41:12	ga_ls7e_ard_3-1-0_099078_2020-08-19_final
2020-09-04 09:36:35	ga_ls7e_ard_3-1-0_099069_2020-09-04_final
2021-01-09 10:25:52	ga_ls7e_ard_3-1-0_108075_2021-01-09_final
2021-02-22 09:12:29	ga_ls7e_ard_3-2-0_096085_2021-02-21_final
2021-08-23 08:18:59	ga_ls7e_ard_3-2-0_090082_2021-08-22_final
2021-12-16 10:14:15	ga_ls7e_ard_3-2-1_111072_2021-12-16_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