Search ga_ls7e_ard_3 whole collection

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
2000-04-16 09:04:01	ga_ls7e_ard_3-0-0_089078_2000-04-15_final
2000-10-07 09:19:16	ga_ls7e_ard_3-0-0_091090_2000-10-06_final
2000-12-18 09:59:57	ga_ls7e_ard_3-0-0_099068_2000-12-18_final
2001-06-28 10:03:15	ga_ls7e_ard_3-0-0_099079_2001-06-28_final
2002-04-16 11:14:51	ga_ls7e_ard_3-0-0_111074_2002-04-16_final
2002-08-22 11:13:47	ga_ls7e_ard_3-0-0_111073_2002-08-22_final
2003-03-21 10:10:46	ga_ls7e_ard_3-0-0_100084_2003-03-21_final
2003-08-23 11:30:26	ga_ls7e_ard_3-0-0_113083_2003-08-23_final
2003-09-21 09:22:27	ga_ls7e_ard_3-0-0_092088_2003-09-20_final
2004-01-29 10:46:39	ga_ls7e_ard_3-0-0_106080_2004-01-29_final
2004-07-28 11:03:00	ga_ls7e_ard_3-0-0_109075_2004-07-28_final
2004-08-31 09:16:01	ga_ls7e_ard_3-1-0_091086_2004-08-30_final
2005-02-06 10:07:13	ga_ls7e_ard_3-0-0_100073_2005-02-06_final
2005-03-29 09:01:47	ga_ls7e_ard_3-0-0_089079_2005-03-28_final
2005-05-22 10:00:19	ga_ls7e_ard_3-0-0_099071_2005-05-22_final
2005-08-19 11:33:56	ga_ls7e_ard_3-0-0_114074_2005-08-19_final
2005-11-10 10:25:17	ga_ls7e_ard_3-0-0_103072_2005-11-10_final
2005-11-30 09:59:07	ga_ls7e_ard_3-0-0_099068_2005-11-30_final
2006-03-06 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-03-06_final
2006-03-06 10:04:01	ga_ls7e_ard_3-0-0_099079_2006-03-06_final
2006-03-22 09:59:37	ga_ls7e_ard_3-0-0_099068_2006-03-22_final
2006-04-23 09:59:08	ga_ls7e_ard_3-0-0_099067_2006-04-23_final
2006-05-15 11:04:12	ga_ls7e_ard_3-0-0_109075_2006-05-15_final
2006-11-21 11:15:41	ga_ls7e_ard_3-0-0_111073_2006-11-21_final
2007-07-11 10:29:39	ga_ls7e_ard_3-0-0_103081_2007-07-11_final
2007-10-19 11:42:14	ga_ls7e_ard_3-0-0_115078_2007-10-19_final
2008-01-08 10:43:09	ga_ls7e_ard_3-0-0_106068_2008-01-08_final
2008-07-01 10:03:29	ga_ls7e_ard_3-0-0_099079_2008-07-01_final
2008-11-22 09:59:58	ga_ls7e_ard_3-0-0_099071_2008-11-22_final
2008-12-08 09:58:57	ga_ls7e_ard_3-0-0_099068_2008-12-08_final
2009-02-14 11:18:46	ga_ls7e_ard_3-0-0_111081_2009-02-14_final
2009-02-26 10:05:31	ga_ls7e_ard_3-0-0_099083_2009-02-26_final
2009-05-18 10:45:13	ga_ls7e_ard_3-0-0_106073_2009-05-18_final
2009-05-29 10:26:17	ga_ls7e_ard_3-0-0_103072_2009-05-29_final
2009-06-02 09:59:58	ga_ls7e_ard_3-0-0_099068_2009-06-02_final
2009-06-17 09:25:04	ga_ls7e_ard_3-0-0_092089_2009-06-16_final
2009-07-04 10:03:53	ga_ls7e_ard_3-0-0_099078_2009-07-04_final
2009-09-06 11:42:34	ga_ls7e_ard_3-0-0_115078_2009-09-06_final
2010-09-16 10:09:12	ga_ls7e_ard_3-0-0_100071_2010-09-16_final
2010-11-28 10:08:23	ga_ls7e_ard_3-0-0_099083_2010-11-28_final
2011-07-14 11:16:49	ga_ls7e_ard_3-0-0_111067_2011-07-14_final
2011-12-26 09:58:06	ga_ls7e_ard_3-0-0_098070_2011-12-26_final
2012-03-22 11:46:56	ga_ls7e_ard_3-0-0_115079_2012-03-22_final
2012-06-04 10:43:21	ga_ls7e_ard_3-0-0_105074_2012-06-04_final
2012-10-10 10:45:27	ga_ls7e_ard_3-0-0_105076_2012-10-10_final
2012-10-22 09:35:02	ga_ls7e_ard_3-0-0_093085_2012-10-22_final
2013-12-16 10:43:20	ga_ls7e_ard_3-0-0_105069_2013-12-16_final
2014-01-07 10:09:34	ga_ls7e_ard_3-0-0_099077_2014-01-07_final
2014-05-21 11:11:29	ga_ls7e_ard_3-0-0_109075_2014-05-21_final
2014-08-14 09:55:49	ga_ls7e_ard_3-1-0_096086_2014-08-14_final
2014-11-29 11:12:28	ga_ls7e_ard_3-0-0_109075_2014-11-29_final
2015-02-02 10:17:59	ga_ls7e_ard_3-0-0_100077_2015-02-02_final
2015-09-11 09:51:54	ga_ls7e_ard_3-0-0_095086_2015-09-11_final
2016-01-04 10:23:33	ga_ls7e_ard_3-0-0_100084_2016-01-04_final
2016-03-04 10:48:00	ga_ls7e_ard_3-0-0_104082_2016-03-04_final
2016-08-16 11:04:23	ga_ls7e_ard_3-0-0_107075_2016-08-16_final
2016-12-30 10:13:27	ga_ls7e_ard_3-0-0_099072_2016-12-30_final
2017-12-17 11:53:33	ga_ls7e_ard_3-0-0_115075_2017-12-17_final
2018-07-30 10:52:03	ga_ls7e_ard_3-0-0_106069_2018-07-30_final
2018-10-18 09:19:01	ga_ls7e_ard_3-0-0_090088_2018-10-17_final
2019-05-14 10:43:35	ga_ls7e_ard_3-0-0_106068_2019-05-14_final
2019-08-01 10:00:55	ga_ls7e_ard_3-0-0_099077_2019-08-01_final
2019-08-03 11:29:45	ga_ls7e_ard_3-0-0_113083_2019-08-03_final
2019-09-10 09:14:58	ga_ls7e_ard_3-1-0_091090_2019-09-09_final
2020-06-25 09:40:49	ga_ls7e_ard_3-1-0_098084_2020-06-25_final
2020-07-10 08:58:15	ga_ls7e_ard_3-1-0_091088_2020-07-09_final
2020-07-10 10:29:57	ga_ls7e_ard_3-1-0_107070_2020-07-10_final
2020-12-25 09:32:29	ga_ls7e_ard_3-1-0_099078_2020-12-25_final
2021-05-08 10:23:07	ga_ls7e_ard_3-2-0_109076_2021-05-08_final
2021-08-11 09:33:47	ga_ls7e_ard_3-2-0_102081_2021-08-11_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