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

57 results

Time (local)	Label
2001-03-23 11:00:55	ga_ls7e_ard_3-1-0_108082_2001-03-23_final
2001-12-29 09:13:07	ga_ls7e_ard_3-0-0_091079_2001-12-28_final
2002-03-09 10:16:24	ga_ls7e_ard_3-0-0_101082_2002-03-09_final
2002-10-21 09:58:30	ga_ls7e_ard_3-0-0_099071_2002-10-21_final
2003-02-07 11:05:45	ga_ls7e_ard_3-0-0_110067_2003-02-07_final
2003-09-27 10:17:27	ga_ls7e_ard_3-0-0_102071_2003-09-27_final
2004-04-10 09:56:33	ga_ls7e_ard_3-0-0_098078_2004-04-10_final
2004-10-21 11:18:11	ga_ls7e_ard_3-0-0_112067_2004-10-21_final
2005-01-18 11:15:29	ga_ls7e_ard_3-0-0_111074_2005-01-18_final
2005-05-13 10:09:19	ga_ls7e_ard_3-0-0_100078_2005-05-13_final
2005-10-03 09:24:18	ga_ls7e_ard_3-0-0_093075_2005-10-02_final
2005-10-21 09:16:52	ga_ls7e_ard_3-0-0_091087_2005-10-20_final
2006-05-05 10:29:30	ga_ls7e_ard_3-0-0_103081_2006-05-05_final
2007-12-30 09:17:37	ga_ls7e_ard_3-1-0_091086_2007-12-29_final
2008-04-17 10:22:11	ga_ls7e_ard_3-0-0_102078_2008-04-17_final
2008-04-18 09:24:57	ga_ls7e_ard_3-0-0_093074_2008-04-17_final
2008-04-28 09:59:37	ga_ls7e_ard_3-0-0_099068_2008-04-28_final
2008-08-02 10:02:46	ga_ls7e_ard_3-0-0_099078_2008-08-02_final
2009-04-23 10:50:33	ga_ls7e_ard_3-0-0_107071_2009-04-23_final
2010-01-08 10:27:15	ga_ls7e_ard_3-0-0_103072_2010-01-08_final
2010-02-05 09:19:52	ga_ls7e_ard_3-0-0_091088_2010-02-04_final
2010-08-02 09:05:32	ga_ls7e_ard_3-0-0_089082_2010-08-01_final
2010-08-05 11:10:55	ga_ls7e_ard_3-0-0_110071_2010-08-05_final
2010-08-27 10:37:29	ga_ls7e_ard_3-0-0_104080_2010-08-27_final
2010-11-27 09:21:55	ga_ls7e_ard_3-0-0_092075_2010-11-26_final
2010-12-07 11:37:35	ga_ls7e_ard_3-0-0_114074_2010-12-07_final
2011-11-15 10:04:17	ga_ls7e_ard_3-0-0_099071_2011-11-15_final
2011-11-16 10:51:09	ga_ls7e_ard_3-0-0_106080_2011-11-16_final
2012-05-22 09:40:27	ga_ls7e_ard_3-0-0_094086_2012-05-22_final
2012-07-02 11:08:42	ga_ls7e_ard_3-0-0_109075_2012-07-02_final
2012-08-12 11:03:03	ga_ls7e_ard_3-1-0_108075_2012-08-12_final
2013-12-10 09:42:45	ga_ls7e_ard_3-0-0_095072_2013-12-10_final
2014-03-22 10:43:31	ga_ls7e_ard_3-0-0_105068_2014-03-22_final
2014-06-14 10:24:53	ga_ls7e_ard_3-0-0_101082_2014-06-14_final
2015-03-22 10:16:20	ga_ls7e_ard_3-0-0_100072_2015-03-22_final
2015-04-30 10:25:11	ga_ls7e_ard_3-0-0_101078_2015-04-30_final
2015-08-10 09:51:49	ga_ls7e_ard_3-0-0_095086_2015-08-10_final
2016-01-13 10:11:56	ga_ls7e_ard_3-0-0_099070_2016-01-13_final
2016-01-27 10:29:14	ga_ls7e_ard_3-0-0_101082_2016-01-27_final
2016-02-02 11:25:06	ga_ls7e_ard_3-0-0_111067_2016-02-02_final
2016-02-28 10:27:24	ga_ls7e_ard_3-0-0_101077_2016-02-28_final
2017-06-26 11:45:05	ga_ls7e_ard_3-0-0_113084_2017-06-26_final
2017-08-27 11:54:13	ga_ls7e_ard_3-0-0_115076_2017-08-27_final
2017-09-04 11:04:22	ga_ls7e_ard_3-0-0_107075_2017-09-04_final
2017-09-29 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-09-29_final
2018-06-27 10:09:48	ga_ls7e_ard_3-0-0_099070_2018-06-27_final
2018-10-03 11:35:57	ga_ls7e_ard_3-0-0_113074_2018-10-03_final
2019-08-07 11:05:16	ga_ls7e_ard_3-0-0_109084_2019-08-07_final
2020-05-21 10:50:52	ga_ls7e_ard_3-1-0_109084_2020-05-21_final
2020-07-17 10:37:42	ga_ls7e_ard_3-1-0_108075_2020-07-17_final
2020-08-16 10:51:46	ga_ls7e_ard_3-1-0_110084_2020-08-16_final
2020-10-08 09:28:23	ga_ls7e_ard_3-1-0_097085_2020-10-07_final
2021-03-19 09:03:09	ga_ls7e_ard_3-2-0_095082_2021-03-18_final
2021-04-26 08:21:19	ga_ls7e_ard_3-2-0_089078_2021-04-25_final
2021-05-03 10:01:48	ga_ls7e_ard_3-2-0_106068_2021-05-03_final
2021-11-28 10:32:42	ga_ls7e_ard_3-2-1_113083_2021-11-28_final
2021-12-13 09:45:14	ga_ls7e_ard_3-2-1_106076_2021-12-13_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