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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
1999-09-19 09:21:44	ga_ls7e_ard_3-0-0_091090_1999-09-18_final
1999-09-27 11:45:24	ga_ls7e_ard_3-0-0_115078_1999-09-27_final
1999-11-14 10:06:01	ga_ls7e_ard_3-0-0_099077_1999-11-14_final
2000-07-19 10:56:22	ga_ls7e_ard_3-0-0_107083_2000-07-19_final
2000-09-07 10:38:33	ga_ls7e_ard_3-0-0_105071_2000-09-07_final
2000-10-15 11:42:30	ga_ls7e_ard_3-0-0_115078_2000-10-15_final
2000-10-31 10:00:41	ga_ls7e_ard_3-0-0_099070_2000-10-31_final
2000-12-15 11:12:18	ga_ls7e_ard_3-0-0_110079_2000-12-15_final
2001-01-03 10:00:18	ga_ls7e_ard_3-0-0_099069_2001-01-03_final
2001-01-24 10:20:35	ga_ls7e_ard_3-0-0_102073_2001-01-24_final
2002-02-07 09:59:12	ga_ls7e_ard_3-0-0_099070_2002-02-07_final
2002-05-05 10:08:33	ga_ls7e_ard_3-0-0_100078_2002-05-05_final
2002-08-27 09:52:08	ga_ls7e_ard_3-0-0_098070_2002-08-27_final
2002-09-28 11:35:10	ga_ls7e_ard_3-0-0_114081_2002-09-28_final
2002-11-24 09:52:07	ga_ls7e_ard_3-0-0_097085_2002-11-24_final
2003-12-18 10:08:06	ga_ls7e_ard_3-0-0_100077_2003-12-18_final
2004-05-05 09:52:44	ga_ls7e_ard_3-0-0_097084_2004-05-05_final
2004-06-30 09:02:20	ga_ls7e_ard_3-0-0_089082_2004-06-29_final
2005-05-04 10:15:05	ga_ls7e_ard_3-0-0_101077_2005-05-04_final
2006-01-24 10:06:51	ga_ls7e_ard_3-0-0_100071_2006-01-24_final
2006-05-09 10:03:59	ga_ls7e_ard_3-0-0_099079_2006-05-09_final
2006-06-11 09:10:42	ga_ls7e_ard_3-0-0_090085_2006-06-10_final
2006-10-25 09:53:23	ga_ls7e_ard_3-0-0_098069_2006-10-25_final
2007-10-01 10:15:13	ga_ls7e_ard_3-0-0_101077_2007-10-01_final
2008-01-11 09:34:46	ga_ls7e_ard_3-0-0_095067_2008-01-11_final
2009-02-21 09:41:45	ga_ls7e_ard_3-0-0_096070_2009-02-21_final
2009-05-18 10:45:13	ga_ls7e_ard_3-0-0_106073_2009-05-18_final
2009-08-15 09:06:17	ga_ls7e_ard_3-1-0_089089_2009-08-14_final
2010-01-20 10:52:57	ga_ls7e_ard_3-0-0_107074_2010-01-20_final
2010-06-11 09:32:10	ga_ls7e_ard_3-1-0_093087_2010-06-11_final
2010-08-06 10:20:05	ga_ls7e_ard_3-0-0_101083_2010-08-06_final
2010-08-17 11:37:39	ga_ls7e_ard_3-0-0_114076_2010-08-17_final
2011-02-10 10:42:02	ga_ls7e_ard_3-0-0_105073_2011-02-10_final
2011-04-05 10:07:32	ga_ls7e_ard_3-0-0_099079_2011-04-05_final
2011-07-02 10:58:52	ga_ls7e_ard_3-0-0_107084_2011-07-02_final
2011-09-12 10:07:12	ga_ls7e_ard_3-0-0_099079_2011-09-12_final
2012-01-05 10:34:51	ga_ls7e_ard_3-0-0_104069_2012-01-05_final
2012-12-13 09:09:23	ga_ls7e_ard_3-0-0_089082_2012-12-12_final
2013-05-11 11:07:00	ga_ls7e_ard_3-0-0_108083_2013-05-11_final
2013-10-03 10:09:45	ga_ls7e_ard_3-0-0_099079_2013-10-03_final
2013-12-22 10:07:05	ga_ls7e_ard_3-0-0_099071_2013-12-22_final
2014-02-20 10:30:57	ga_ls7e_ard_3-0-0_103068_2014-02-20_final
2014-10-10 11:23:38	ga_ls7e_ard_3-0-0_111073_2014-10-10_final
2014-10-31 10:05:53	ga_ls7e_ard_3-0-0_098079_2014-10-31_final
2014-11-17 09:14:45	ga_ls7e_ard_3-0-0_089090_2014-11-16_final
2014-12-17 11:03:28	ga_ls7e_ard_3-0-0_107083_2014-12-17_final
2015-07-05 10:10:00	ga_ls7e_ard_3-0-0_099070_2015-07-05_final
2016-04-09 10:21:30	ga_ls7e_ard_3-0-0_100077_2016-04-09_final
2016-05-10 09:42:49	ga_ls7e_ard_3-0-0_093088_2016-05-10_final
2016-07-07 10:16:05	ga_ls7e_ard_3-0-0_099078_2016-07-07_final
2016-07-12 10:35:48	ga_ls7e_ard_3-0-0_102081_2016-07-12_final
2016-09-24 09:36:59	ga_ls7e_ard_3-0-0_092088_2016-09-24_final
2016-10-10 09:35:00	ga_ls7e_ard_3-0-0_092083_2016-10-10_final
2017-04-06 11:00:38	ga_ls7e_ard_3-0-0_106082_2017-04-06_final
2017-05-07 10:13:11	ga_ls7e_ard_3-0-0_099071_2017-05-07_final
2018-01-22 11:26:45	ga_ls7e_ard_3-0-0_111071_2018-01-22_final
2018-02-28 10:11:07	ga_ls7e_ard_3-1-0_098084_2018-02-28_final
2018-06-05 10:49:41	ga_ls7e_ard_3-0-0_105076_2018-06-05_final
2018-08-06 11:02:06	ga_ls7e_ard_3-0-0_107079_2018-08-06_final
2018-12-19 09:29:04	ga_ls7e_ard_3-0-0_092086_2018-12-18_final
2019-04-07 10:28:01	ga_ls7e_ard_3-0-0_103072_2019-04-07_final
2019-05-06 09:55:39	ga_ls7e_ard_3-0-0_098071_2019-05-06_final
2019-07-22 11:01:56	ga_ls7e_ard_3-0-0_109074_2019-07-22_final
2019-08-23 11:01:00	ga_ls7e_ard_3-1-0_109075_2019-08-23_final
2019-11-06 10:36:50	ga_ls7e_ard_3-1-0_106069_2019-11-06_final
2020-05-25 10:22:42	ga_ls7e_ard_3-1-0_105076_2020-05-25_final
2020-07-15 10:48:35	ga_ls7e_ard_3-1-0_110071_2020-07-15_final
2020-09-02 09:54:39	ga_ls7e_ard_3-1-0_101083_2020-09-02_final
2021-02-22 10:46:58	ga_ls7e_ard_3-2-0_112074_2021-02-22_final
2021-04-24 08:37:50	ga_ls7e_ard_3-2-0_091088_2021-04-23_final
2022-03-06 08:27:31	ga_ls7e_ard_3-2-1_095072_2022-03-05_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