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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

69 results

Time (local)	Label
2000-02-27 09:57:35	ga_ls7e_ard_3-0-0_098072_2000-02-27_final
2000-05-06 10:15:17	ga_ls7e_ard_3-0-0_101071_2000-05-06_final
2000-06-01 10:54:05	ga_ls7e_ard_3-0-0_107076_2000-06-01_final
2001-04-10 10:45:40	ga_ls7e_ard_3-1-0_106075_2001-04-10_final
2001-09-27 09:40:37	ga_ls7e_ard_3-0-0_096071_2001-09-27_final
2001-10-31 11:08:10	ga_ls7e_ard_3-0-0_110074_2001-10-31_final
2002-01-02 10:24:26	ga_ls7e_ard_3-0-0_103072_2002-01-02_final
2002-02-16 09:56:13	ga_ls7e_ard_3-0-0_098078_2002-02-16_final
2002-03-18 10:10:30	ga_ls7e_ard_3-0-0_100083_2002-03-18_final
2002-03-27 11:40:01	ga_ls7e_ard_3-0-0_115075_2002-03-27_final
2002-07-27 10:39:39	ga_ls7e_ard_3-1-0_105080_2002-07-27_final
2002-07-30 09:31:39	ga_ls7e_ard_3-0-0_094080_2002-07-30_final
2003-12-17 11:02:31	ga_ls7e_ard_3-0-0_109074_2003-12-17_final
2004-01-25 11:09:45	ga_ls7e_ard_3-0-0_110076_2004-01-25_final
2004-03-09 09:52:10	ga_ls7e_ard_3-0-0_098067_2004-03-09_final
2004-07-05 09:22:27	ga_ls7e_ard_3-0-0_092086_2004-07-04_final
2004-08-15 09:14:52	ga_ls7e_ard_3-0-0_091083_2004-08-14_final
2005-01-15 09:06:54	ga_ls7e_ard_3-0-0_090077_2005-01-14_final
2005-05-07 10:43:36	ga_ls7e_ard_3-0-0_106071_2005-05-07_final
2005-05-28 11:03:42	ga_ls7e_ard_3-0-0_109075_2005-05-28_final
2005-06-29 11:03:07	ga_ls7e_ard_3-0-0_109074_2005-06-29_final
2005-10-29 11:40:55	ga_ls7e_ard_3-0-0_115076_2005-10-29_final
2006-05-17 10:51:50	ga_ls7e_ard_3-0-0_107075_2006-05-17_final
2006-11-02 10:43:45	ga_ls7e_ard_3-0-0_106071_2006-11-02_final
2006-11-16 10:57:29	ga_ls7e_ard_3-0-0_108074_2006-11-16_final
2007-04-25 09:23:56	ga_ls7e_ard_3-0-0_092086_2007-04-24_final
2007-06-03 09:25:06	ga_ls7e_ard_3-0-0_093074_2007-06-02_final
2007-06-04 10:09:33	ga_ls7e_ard_3-0-0_100077_2007-06-04_final
2007-07-21 11:07:53	ga_ls7e_ard_3-0-0_109084_2007-07-21_final
2008-05-31 09:12:34	ga_ls7e_ard_3-0-0_090090_2008-05-30_final
2008-07-09 09:16:21	ga_ls7e_ard_3-0-0_091085_2008-07-08_final
2008-09-01 10:12:31	ga_ls7e_ard_3-1-0_101072_2008-09-01_final
2008-12-16 10:51:16	ga_ls7e_ard_3-0-0_107075_2008-12-16_final
2009-04-07 09:17:58	ga_ls7e_ard_3-0-0_091087_2009-04-06_final
2009-05-26 09:55:47	ga_ls7e_ard_3-0-0_098073_2009-05-26_final
2009-11-08 10:58:03	ga_ls7e_ard_3-0-0_108074_2009-11-08_final
2009-12-28 09:09:55	ga_ls7e_ard_3-0-0_090080_2009-12-27_final
2010-01-16 11:17:13	ga_ls7e_ard_3-0-0_111073_2010-01-16_final
2010-02-21 10:53:44	ga_ls7e_ard_3-0-0_107075_2010-02-21_final
2010-04-17 10:59:45	ga_ls7e_ard_3-0-0_108074_2010-04-17_final
2010-09-05 10:26:56	ga_ls7e_ard_3-0-0_103069_2010-09-05_final
2010-10-24 11:11:58	ga_ls7e_ard_3-0-0_110073_2010-10-24_final
2011-04-07 11:35:40	ga_ls7e_ard_3-0-0_113083_2011-04-07_final
2011-10-13 11:00:47	ga_ls7e_ard_3-0-0_108074_2011-10-13_final
2011-12-24 10:10:50	ga_ls7e_ard_3-0-0_100071_2011-12-24_final
2012-04-19 10:29:09	ga_ls7e_ard_3-0-0_103070_2012-04-19_final
2012-05-28 09:01:15	ga_ls7e_ard_3-0-0_088081_2012-05-27_final
2012-06-26 10:09:36	ga_ls7e_ard_3-0-0_099082_2012-06-26_final
2012-08-05 10:56:46	ga_ls7e_ard_3-0-0_107075_2012-08-05_final
2013-03-03 09:10:39	ga_ls7e_ard_3-0-0_089085_2013-03-02_final
2014-02-12 11:20:07	ga_ls7e_ard_3-0-0_111067_2014-02-12_final
2014-02-16 09:24:01	ga_ls7e_ard_3-1-0_091086_2014-02-15_final
2014-08-31 10:37:04	ga_ls7e_ard_3-0-0_103081_2014-08-31_final
2014-11-04 09:39:13	ga_ls7e_ard_3-0-0_094074_2014-11-04_final
2014-12-13 11:24:08	ga_ls7e_ard_3-0-0_111073_2014-12-13_final
2014-12-29 09:50:30	ga_ls7e_ard_3-0-0_095086_2014-12-29_final
2015-06-18 11:11:09	ga_ls7e_ard_3-0-0_108084_2015-06-18_final
2015-11-07 11:17:40	ga_ls7e_ard_3-0-0_110067_2015-11-07_final
2016-10-22 10:00:06	ga_ls7e_ard_3-0-0_096084_2016-10-22_final
2017-01-23 11:05:01	ga_ls7e_ard_3-0-0_107078_2017-01-23_final
2017-04-19 10:27:51	ga_ls7e_ard_3-0-0_101077_2017-04-19_final
2017-10-03 10:35:51	ga_ls7e_ard_3-0-0_102081_2017-10-03_final
2018-04-21 11:20:57	ga_ls7e_ard_3-0-0_110075_2018-04-21_final
2018-11-19 10:54:47	ga_ls7e_ard_3-0-0_106082_2018-11-19_final
2019-04-30 10:37:21	ga_ls7e_ard_3-0-0_104082_2019-04-30_final
2019-05-10 11:10:51	ga_ls7e_ard_3-0-0_110074_2019-05-10_final
2019-08-05 09:34:02	ga_ls7e_ard_3-0-0_095072_2019-08-05_final
2019-10-19 09:18:18	ga_ls7e_ard_3-1-0_092087_2019-10-18_final
2022-02-08 09:33:04	ga_ls7e_ard_3-2-1_105075_2022-02-08_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